Artificial Intelligence Jobs

Principal Software Engineer - AI/CloudExperience: 9-13 YearsLocation: ChennaiHiring Company: Talent Zone ConsultantJob Summary:Talent Zone Consultant is looking for an experienced Principal Software Engineer - AI/Cloud to lead the design and development of highly scalable, cloud-native software solutions. The ideal candidate will have strong expertise in distributed systems, microservices, cloud platforms, and emerging GenAI technologies.Key Responsibilities:Lead the architecture and development of scalable, high-performance cloud-native applications.Design distributed systems and microservices using Java, Go, or Python.Drive cloud adoption and architecture across AWS, Azure, or GCP.Build and manage containerized applications using Kubernetes and Docker.Develop and integrate GenAI/LLM-based solutions into enterprise applications.Define technical architecture, conduct design reviews, and establish engineering best practices.Mentor senior engineers and provide technical leadership across development teams.Collaborate with product, engineering, DevOps, and architecture teams.

We are looking for a motivated and enthusiastic Fresher AI Full Stack Developer to join our development team. The candidate will work on building modern web applications and integrating AI and machine learning capabilities into real-world products. The role involves developing frontend and backend features, working with APIs and databases, integrating AI models and services, debugging applications, and collaborating with the team to deliver scalable and user-friendly solutions. Candidates with strong programming fundamentals, problem-solving skills, and a willingness to learn new AI and full-stack technologies are encouraged to apply.

Key Responsibilities Design product listing images, infographics, and A+ content for Amazon and other marketplaces. Create banners and creatives for e-commerce listings and campaigns. Design social media post creatives aligned with the Leather Village brand. Collaborate closely with the e-commerce team on listing visuals.Required Skills Strong portfolio in e-commerce/product design (infographics, A+ content, banners). Proficiency in Photoshop/Illustrator or equivalent design tools. Experience designing for Amazon marketplace formats specifically. Graduate in same field Familiarity with AI design tools is an advantage.

TELUS Digital is seeking participants for a data collection study in India. Project Cassia is about collecting Live Photos of printed text and handwritten text on various materials and locations, in Bangla, Gujarati, Kannada, Malayalam, Odia, Punjabi, Tamil, Telugu and Urdu.Task requirements:- Submitted data and the content within must meet the data requirements established in the instructions shared during the project.- Collected data must be in Live Photo format, collected with a pre-approved mobile device.- All text and materials submitted within Live Photos must be original and unique. No duplicate submissions will be accepted.- No synthetic or AI-generated data will be accepted.- To participate, you must be 18 years or older.- You are legally allowed to work in India.- You are able to understand instructions in English.- Good camera skills required.- Access to a computer, broadband internet, and relevant software.- Independent work skills, adaptability, attention to detail, and strong communication skills.CompensationYou will be compensated for correctly submitted Live Photos approved by quality review.The payment will be processed after the Live Photo has been approved by quality review.Payments will be issued via Hyperwallet through the AI Community Manager Platform, where participants can choose PayPal, bank transfer, or Venmo as the payment method.Equal OpportunityAll qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

Looking for AI Trainer for IT Institute with good practical knowledge and good in communication and personality.

We are seeking a knowledgeable and detail-oriented Legal executive to provide legal guidance, ensure compliance with laws and regulations, and protect the organization

Key ResponsibilitiesDesign, develop, and implement machine learning models and AI solutions.Build and optimize data pipelines for model training, validation, and deployment.Analyze large datasets to identify patterns, trends, and business insights.Develop, test, and deploy predictive, classification, recommendation, and generative AI models.Monitor model performance and retrain models as needed to maintain accuracy.Collaborate with cross-functional teams to integrate AI solutions into products and business processes.Apply best practices for data quality, model governance, security, and scalability.Research and evaluate emerging AI/ML technologies, tools, and frameworks.Document model architecture, development processes, and technical specifications.Ensure AI solutions comply with ethical, legal, and organizational guidelines.

As an AI Engineer in Pune, you will be responsible for developing and implementing AI models and algorithms to solve complex problems. You will work closely with cross-functional teams to create innovative solutions that enhance the company's products and services.Key Responsibilities:- Develop AI Models: Create and deploy machine learning models that meet project requirements, utilizing frameworks like TensorFlow or PyTorch.- Data Analysis and Processing: Analyze large datasets to extract insights and preprocess data to ensure it is suitable for training AI models.- Collaborate with Teams: Work with software engineers and data scientists to integrate AI solutions into existing systems, ensuring seamless functionality.- Performance Tuning: Regularly evaluate the performance of AI models and tune them for better accuracy and efficiency based on feedback and evolving data.- Stay Updated on Trends: Keep abreast of the latest developments in artificial intelligence and machine learning to continually improve processes and techniques.Required Skills and Expectations:- A bachelor's or master's degree in Computer Science, Data Science, or a related field is essential.- A minimum of 3 to 5 years of experience in AI or related fields, demonstrating a strong understanding of machine learning concepts.- Proficiency in programming languages such as Python or Java, along with experience in machine learning libraries and tools.- Strong analytical skills with the ability to interpret data and provide actionable insights.- Excellent communication skills to explain complex AI concepts to non-technical stakeholders and collaborate effectively with teams.

Hiring an AI Developer with 5+ years of experience in Python, GenAI, LLMs, FastAPI, Prompt Engineering, and Agentic AI to build scalable, production-ready AI solutions, AWS Bedrock / Amazon SageMaker.

As an AI Trainer, you will play an essential role in helping our artificial intelligence systems understand and learn from data. Your main responsibilities include:- Data Preparation: Collect and organize data needed for training AI models. This includes cleaning, labeling, and categorizing data to ensure high-quality inputs for effective learning.- Training AI Models: Assist in training various AI models. You will work closely with the development team to implement training processes and algorithms, enabling the AI to generate accurate predictions and insights.- Performance Evaluation: Monitor and analyze the performance of trained models. You will identify areas of improvement and suggest necessary adjustments to enhance the AIs capabilities.- Documentation: Maintain clear and thorough documentation of training processes, data sources, and model evaluations. This helps in tracking progress and making informed decisions for future training.- Feedback Loop: Collaborate with the AI development team to provide insights and feedback based on model performance. Your input will be vital in refining the training process and improving outcomes.To succeed in this role, you should have a keen interest in artificial intelligence and technology. You need to be detail-oriented and organized, as you will be handling large amounts of data. Good communication skills are important to work effectively with the team. While prior experience is not necessary, a basic understanding of AI concepts will be beneficial. A minimum education level of 12th pass is required for this part-time, work-from-home position.

ROLE OVERVIEWYou will be responsible for building, maintaining and productionizing the backend infrastructure of VAMS ATLAS.The platform must support:* Deterministic scientific computation* Reproducible pipeline execution* Immutable/versioned reference artifacts* PostgreSQL-backed registries* Asynchronous computational workloads* API services* Audit trails and provenance* Evidence and entitlement gating* Report generation contracts* Cloud object storage* Production observability* Secure integration with frontend applicationsCORE RESPONSIBILITIES1. Backend API DevelopmentDevelop and maintain backend services and APIs supporting the VAMS BIOME ecosystem.2. PostgreSQL & Data ArchitectureOwn and extend the ATLAS PostgreSQL data layer. The engineer will work with registries covering areas such as:* samples* sequencing runs* analysis runs* score definitions* panels* conditions* reference cohorts* reference artifact sets* pipeline/version metadata* QC flags* confidence penalties* report outputs* audit recordsScientific outputs must remain traceable to the exact configuration and artifacts from which they were generated.3. Reference Artifact RegistryImplement and maintain the VAMS ATLAS Reference Artifact Registry.4. Deterministic Reference SelectionImplement deterministic selection of reference cohorts/artifacts based on analysis context.5. Analysis Run OrchestrationBuild and maintain the execution layer connecting backend services with computational/bioinformatics pipelines.The engineer is not expected to invent microbiome algorithms.Bioinformatics and scientific teams define biological processing and interpretation logic.The backend engineer makes these pipelines reliable, deterministic, scalable and auditable.6. Two-Mode Execution ArchitectureThe platform maintains strict separation on Cohort Build ModeUsed offline to construct and register approved reference artifacts.7. Auditability & ProvenanceEvery ATLAS run must generate sufficient provenance to reconstruct the analysis.Where appropriate, computational outputs should have integrity hashes.A historical report should be traceable back to its computational inputs and configuration.8. Scientific Governance EnforcementThe backend is responsible for enforcing scientific governance supplied by the scientific/Founders Office configuration.9. Reporting BackendDevelop structured report objects by:* VAMS ATLAS web applications* downloadable reports* clinician-facing interfaces* future mobile applications* analytics and internal systems10. Cloud & InfrastructureHelp operate and evolve the cloud execution architecture.Expected areas include:* AWS* S3/object storage* containerized workloads* Docker* Asynchronous jobs/queues* Worker infrastructure* CI/CD* Environment management* Secrets management* Log/ Monitor* Health checksExperience with one or more of the following is valuable:* AWS Batch* ECS/Fargate* Step Functions* Lambda* SQS* EventBridge* CloudWatchEquivalent production cloud experience is acceptable.11. Security & Production EngineeringImplement secure engineering practices across the backend.Experience working with health, genomic or other sensitive datasets is advantageous.REQUIRED TECHNICAL SKILLSCandidates should have strong practical experience with most of the following:Backend* Python* FastAPI or comparable modern Python API framework* Pydantic / schema validation* REST API design* asynchronous/background processingDatabase* PostgreSQL* SQL* relational schema design* migrations* constraints and indexes* transactional systems* JSON/JSONBInfrastructure* Docker* Linux* Git / GitHub* CI/CD* AWS or equivalent cloud infrastructure* object storage such as S3* environment and secrets managementEngineering* Automated testing* API testing* Integration testing* Structured logging* Exception handling* Idempotent operations* Versioning* Reproducible executionSTRONGLY PREFERRED EXPERIENCECandidates with experience in any of the following will be particularly valuable:* Bioinformatics* Genomics* Microbiome data* Scientific computing* Health-tech* Clinical software* Laboratory data systems* Workflow orchestration* Data engineering* ML/data pipelines* Reproducible computational pipelinesFamiliarity with concepts such as FASTQ, sequencing pipelines, reference databases or computational provenance is advantageous but not mandatory.Important Role BoundaryThis position owns engineering implementation, not independent scientific decision-making.The Backend / Platform Engineer should not independently:* Invent microbiome scoring formulas* Modify biological thresholds* Change evidence tiers* Determine whether datasets are scientifically valid* Redefine condition mappings* Reinterpret microbiome biology* Modify scientific recommendationsThose decisions are supplied through governed scientific specifications.The engineers responsibility is to ensure those specifications are implemented correctly, deterministically, securely and audibly.What Success Looks LikeWithin the first few months, the successful engineer should be able to demonstrate that:1. ATLAS backend services can reliably execute production analysis workflows.2. Every analysis run is versioned and auditable.3. Historical analyses can identify the exact reference artifacts used.4. Reference artifacts cannot be accidentally modified by production user workflows.5. Scientific gating is enforced server-side.6. Backend APIs expose stable contracts to frontend applications.7. Failed computational jobs can be diagnosed and recovered safely.8. Automated tests cover critical backend and governance rules.9. Production services have appropriate logging, monitoring and health checks.10. The platform can scale from Phase-1 operations toward substantially larger sample volumes without architectural replacement.Candidate ProfileWe are particularly interested in engineers who enjoy building systems where correctness matters more than simply shipping endpoints.You may be a good fit if you:* Think carefully about system boundaries* Understand database integrity* Prefer deterministic systems over hidden behavior* Write testable code* Document architectural decisions* Are comfortable reading technical/scientific specifications* Can work independently* Can challenge ambiguous requirements constructively* Understand that scientific software requires stronger provenance than ordinary consumer applicationsMinimum Qualifications* Bachelors degree in Computer Science, Software Engineering, Information Technology or related discipline, or equivalent demonstrated engineering experience* Approximately 3+ years of professional backend/software engineering experience* Strong Python skills* Strong PostgreSQL/SQL skills* Experience building production APIs* Experience with Docker and Git* Experience deploying or operating cloud-based systems* Good understanding of software testing and production debuggingPreferred Qualifications* 4-6+ years backend/platform experience* FastAPI production experience* AWS architecture experience* Workflow/orchestration experience* Bioinformatics or computational biology exposure* Experience handling sensitive health/scientific data* Experience building reproducible data-processing systems* Infrastructure-as-code experience* Strong automated testing practices* Experience with observability and production incident debuggingWHAT TO SUBMITInterested candidates should submit the ff:* Resume/CV* GitHub profile or examples of previous technical work where available* Brief description of a backend/platform system they personally designed or substantially implemented* Technologies used* Their specific contribution to the architectureShortlisted candidates will complete a technical discussion and practical architecture/coding assessment focused on backend engineering, PostgreSQL, APIs, deterministic processing and production system design.

We are seeking an AI Engineer with 1 to 2 years of experience to join our team in Bangalore. This role focuses on developing innovative AI solutions to help improve our products and services.Key Responsibilities:- Develop AI Models: Create and optimize machine learning and deep learning models to meet project needs, ensuring they are efficient and effective.- Data Analysis: Analyze and preprocess large datasets to extract valuable insights that inform model development, ensuring data quality and relevance.- Algorithm Implementation: Implement advanced algorithms and techniques in AI and machine learning to solve specific business challenges, adapting approaches as necessary.- Collaboration: Work closely with data scientists, software engineers, and other team members to integrate AI solutions into existing systems, ensuring seamless operation.- Performance Evaluation: Monitor and evaluate the performance of AI models, making adjustments and improvements to enhance their accuracy and efficiency.- Documentation: Maintain clear documentation of AI processes and methodologies, ensuring knowledge sharing within the team.Required Skills and Expectations:- Proficiency in programming languages such as Python or R is essential for model development and data manipulation.- Familiarity with popular machine learning frameworks like TensorFlow, Keras, or PyTorch is expected to build and deploy AI models.- Strong understanding of statistics and data analysis techniques that aid in model training and evaluation.- Excellent problem-solving skills with a passion for AI technology and its applications in real-world scenarios.- Ability to work effectively in a team environment, communicate clearly, and contribute positively to collaborative projects.

Job DescriptionWe are seeking an experienced AI-Driven Automation QA (SDET) with 5+ years of expertise in designing, developing, and maintaining scalable automation frameworks. The ideal candidate should have strong hands-on experience in Playwright (JavaScript/TypeScript), mobile automation using Appium and WebdriverIO, API automation, and performance testing. Exposure to AI-powered testing tools and AI-assisted automation frameworks is essential. The candidate will work closely with cross-functional teams to deliver high-quality software by implementing automation-first strategies, integrating tests into CI/CD pipelines, and driving innovation in AI-enabled quality engineering.Core SkillsPlaywright (JavaScript/TypeScript)Automation Framework DevelopmentAppium & WebdriverIOAPI Testing (REST/SOAP)Salesforce TestingPerformance Testing (K6)CI/CD (GitHub Actions, Jenkins)AI-Assisted Test AutomationRequirements5+ years of experience in Automation Testing / SDET.Strong hands-on expertise in Playwright using JavaScript/TypeScript.Experience in mobile automation using Appium and WebdriverIO.Proficiency in API automation testing for REST and SOAP services.Good understanding of Salesforce testing, including Sales Cloud, Service Cloud, and Experience Cloud.Experience with performance testing using K6.Hands-on experience with CI/CD pipeline integration using GitHub Actions, Jenkins, or similar tools.Knowledge of Git and modern software development practices.Exposure to AI-driven testing tools and intelligent test automation frameworks.Excellent communication, problem-solving, and collaboration skills.Self-motivated, adaptable, and eager to learn emerging AI technologies in Quality Engineering.

Develop and maintain web applications using React.js and Node.js.Design, deploy, and manage applications on AWS.Build and integrate AI-powered features and APIs.Develop RESTful APIs and ensure application performance and scalability.Collaborate with cross-functional teams to deliver high-quality solutions.

As a Social Media Manager, you will play a crucial role in enhancing our online presence and engaging with our audience across various platforms.Key Responsibilities:- Content Creation: Develop engaging and relevant content tailored for different social media platforms to capture the attention of our target audience.- Account Management: Oversee and maintain the companys social media accounts, ensuring consistent branding and communication across all channels.- Audience Engagement: Interact with followers, respond to comments, and manage messages to build a strong online community.- Analytics Tracking: Monitor social media metrics and analyze performance to understand what content works best, helping us adjust strategies for better engagement.- Trend Research: Stay updated with social media trends and tools, applying them creatively to enhance our brand's visibility.Required Skills and Expectations:- Strong understanding of social media platforms, including Facebook, Twitter, Instagram, and LinkedIn, with the ability to adapt to new ones.- Excellent writing and communication skills, with a knack for creating compelling copy that resonates with diverse audiences.- Basic graphic design skills or familiarity with design tools is a plus, enabling you to create visual content that complements your posts.- A proactive attitude with a willingness to learn and grow in the field of social media management.- Organizational skills to manage multiple tasks effectively and meet deadlines in a fast-paced environment. We look forward to your creativity and energy in shaping our social media strategy!

I Need Candidates For Ai Videos Editing Every Candidate Has 200rs For Per Video

Job Description - Robotics TrainerPosition: Robotics TrainerLocation: RaipurExperience: 1-3 YearsYoungovator Education Pvt. Ltd. is looking for a passionate and enthusiastic Robotics Trainer to inspire students through hands-on learning in Robotics, STEM, AI, and Coding. The ideal candidate should have strong technical knowledge, excellent communication skills, and a passion for teaching and mentoring young innovators.Key Responsibilities:Conduct engaging Robotics, STEM, AI, IoT, and Coding sessions for school students.Train students using Arduino, ESP32, Raspberry Pi, sensors, actuators, and robotics kits.Guide students in designing, building, and programming innovative robotics projects.Prepare lesson plans, assessments, and project documentation.Mentor students for exhibitions, competitions, and innovation challenges.Maintain robotics lab equipment and ensure a safe learning environment.Coordinate with schools, teachers, and the internal team for smooth execution of training programs.Required Skills:Strong knowledge of Robotics, Electronics, Embedded Systems, AI, IoT, and STEM concepts.Hands-on experience with Arduino, ESP32, Raspberry Pi, sensors, motors, and electronic components.Proficiency in Python and C/C++ programming.Excellent communication, presentation, and classroom management skills.Creative thinking, problem-solving ability, and willingness to travel.Qualification: Bachelor's degree in Engineering (Electronics, Electrical, Mechanical, Computer Science, Robotics, or related field). Prior experience in Robotics/STEM training is preferred. Immediate joiners will be given preference.

Cloud Security ArchitectExperience: 8-12 YearsLocation: BangaloreHiring Company: Talent Zone ConsultantJob Summary:Talent Zone Consultant is looking for an experienced Cloud Security Architect to design and implement secure, scalable cloud environments. The ideal candidate will have strong expertise in cloud security architecture, Zero Trust, IAM, DevSecOps, security monitoring, and enterprise security governance.Key Responsibilities:Design and implement secure cloud architectures across AWS, Azure, or GCP.Define and implement Zero Trust, IAM, network security, and security controls.Drive DevSecOps and Secure SDLC practices across cloud environments.Implement security monitoring, SIEM/SOC integration, threat detection, and incident response solutions.Conduct cloud security assessments, risk analysis, and compliance reviews.Collaborate with infrastructure, application, DevOps, and cybersecurity teams.Develop security standards, policies, architecture documentation, and automated security guardrails.Evaluate and address security risks associated with AI/ML and cloud-based applications.

ML Engineer**Experience:** 6-8 Years**Engagement:** C2C**Location:**Bangalore## Role OverviewWe are looking for an experienced **ML Engineer** with strong expertise in **Python, Machine Learning, Generative AI, Agentic AI, and Microsoft Azure**. The ideal candidate will have hands-on experience building and deploying machine learning models and AI agents, developing scalable ML pipelines, and orchestrating agentic workflows using Azure Data and AI platforms.## Key Responsibilities* Develop and maintain scalable **machine learning pipelines** and integrate them with **Azure ML**.* Design and implement **agentic AI workflows** and intelligent AI agents using LLMs, planning, and decision-making frameworks.* Build, deploy, and optimize machine learning models using **TensorFlow, PyTorch**, or similar frameworks.* Design secure, scalable, and production-ready AI agent architectures for cross-platform applications.* Work extensively with **Microsoft Azure**, including **Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Build and experiment with **Generative AI models, LLMs, and agentic workflows**.* Implement AI agent **safety, guardrails, evaluation, and monitoring mechanisms**.* Improve agent performance through feedback loops, reinforcement learning, and user interaction analysis.* Collaborate across backend, ML pipeline, and frontend teams to deliver end-to-end AI solutions.* Support deployment architecture, model serving, monitoring, and productionization of AI systems.* Conduct research and performance evaluation to improve agent conversation, decision-making, adaptability, and reliability.* Rapidly prototype and iterate on AI solutions in a startup-style environment.* Collaborate with senior engineers and researchers to deliver production-grade AI systems.## Required Qualifications* 6-8 years of experience in **Machine Learning / AI Engineering**.* Strong programming skills in **Python**.* Hands-on experience with **TensorFlow, PyTorch**, or equivalent ML frameworks.* Proven experience developing and deploying **machine learning models and AI agents**.* Strong hands-on experience with **Generative AI, LLMs, and Agentic AI**.* Strong expertise in **Microsoft Azure** and Azure AI/Data platforms.* Experience with **Azure ML, Azure Databricks, Microsoft Fabric, and Microsoft AI Foundry**.* Experience with **ML pipelines, deployment architecture, and production AI systems**.* Understanding of AI agent orchestration, evaluation, safety, and guardrails.* Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.## Good to Have* Experience with **reinforcement learning and agent feedback mechanisms**.* Experience building AI solutions for **security or enterprise applications**.* Knowledge of LLM evaluation, prompt engineering, RAG, and model optimization.* Experience working across backend services, APIs, and frontend integrations.## Key Skills**Must Have:** Python Azure ML GenAI/LLM Agentic AI TensorFlow/PyTorch Azure Databricks/Fabric/AI Foundry ML Pipelines AI Agent Deployment**Good to Have:** Reinforcement Learning RAG Prompt Engineering AI Safety & Guardrails LLM Evaluation

We are seeking an experienced AI Platform Engineer to join our team in Bangalore. The ideal candidate will have 7 to 10 years of experience in developing and managing AI platforms.Key Responsibilities:- Design and Develop AI Models: Create scalable AI models tailored for various applications, ensuring they meet performance and accuracy standards.- Optimize AI Workflows: Streamline and improve existing AI workflows to enhance efficiency, reduce latency, and lower operational costs.- Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product managers to ensure alignment on project goals and deliverables.- Deploy AI Solutions: Implement and maintain AI systems in production environments, ensuring they are reliable, secure, and user-friendly.- Monitor System Performance: Continuously analyze and monitor AI platform performance, making adjustments or updates as needed to improve functionality.- Stay Updated on AI Trends: Keep up with the latest advancements in AI technology to incorporate innovative solutions and stay competitive.Required Skills and Expectations:- A deep understanding of AI and machine learning frameworks such as TensorFlow or PyTorch.- Proficiency in programming languages like Python, Java, or C++ for building AI applications.- Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI solutions effectively.- Strong problem-solving skills and the ability to analyze complex data sets.- Excellent communication skills to collaborate effectively with various teams and present technical concepts to non-technical stakeholders.- Previous experience in managing AI projects from inception to deployment, demonstrating leadership and strategic thinking.

Job Title : Microsoft Copilot Developer (Copilot Studio)Job Location : RemoteExperience : 3+ Years (Relevant Microsoft Copilot Studio Experience)Employment Type : Contract - 2 Months (Extendable based on project requirements)Working Hours : 12:00 PM - 09:30 PM IST(If client meetings extend beyond 09:30 PM, candidates can take an equivalent compensatory break.)Job DescriptionWe are looking for an experienced Microsoft Copilot Developer with hands-on expertise in Microsoft Copilot Studio, SharePoint Online, Microsoft Teams, and the Power Platform to build and deploy an AI-powered Knowledge Assistant for Microsoft Teams. The solution will leverage SharePoint content as the knowledge source to deliver secure, citation-backed responses to users through Microsoft Copilot Studio.The ideal candidate should have experience designing, developing, configuring, and deploying Copilot Studio agents, integrating SharePoint knowledge sources, implementing Teams bots, and working with Microsoft Power Platform services. The role also involves configuring knowledge connectors, developing agent workflows, implementing escalation processes, supporting governance, monitoring usage analytics, and providing deployment and hypercare support throughout the project lifecycle.Key ResponsibilitiesBuild and configure AI agents using Microsoft Copilot Studio.Configure SharePoint Online knowledge sources and knowledge connectors.Develop conversational topics, entities, generative answers, and orchestration.Deploy Microsoft Teams bots and Teams applications.Design and implement Adaptive Cards for Teams.Configure Microsoft Graph Search integration.Develop agent escalation and handoff workflows.Integrate Power Automate flows for business processes.Configure Dataverse as the agent data layer.Manage environments using Power Platform Admin Center.Implement governance and DLP policies.Configure Azure PAYG billing and Copilot Credits.Support Microsoft Entra ID (Azure AD) authentication and SSO.Configure permission-based knowledge access.Participate in pilot deployment and organization-wide rollout.Prepare governance and technical documentation.Deliver user training sessions.Monitor usage analytics and performance.Provide deployment and hypercare support.Collaborate with cross-functional Agile teams.Required ExperienceMinimum 3+ years of relevant experience in Microsoft Copilot Studio development.Experience building AI agents using Microsoft Copilot Studio.Hands-on experience integrating SharePoint Online as a knowledge source.Experience deploying Microsoft Teams bots and Teams applications.Experience with Power Platform and Dataverse.Experience developing Power Automate workflows.Working knowledge of Microsoft Graph Search.Experience implementing Adaptive Cards.Knowledge of Microsoft Entra ID authentication and SSO.Understanding of Retrieval-Augmented Generation (RAG).Experience with governance, deployment, rollout, and production support.Good communication and stakeholder management skills.Project ScopeSharePoint Knowledge AssessmentConfiguration of up to 15 SharePoint knowledge sourcesMicrosoft Copilot Studio Agent DevelopmentMicrosoft Teams IntegrationKnowledge Connector ConfigurationPilot DeploymentOrganization-wide RolloutUser TrainingGovernance DocumentationUsage AnalyticsDeployment SupportHypercare Support

We are looking for a Data Scientist with 3 to 5 years of experience to join our team in Pune. The ideal candidate will be responsible for analyzing complex data sets to help drive business strategies and decisions.- Data Collection and Preparation: Gather and clean large data sets from various sources. This involves ensuring that the data is accurate and ready for analysis.- Data Analysis: Use statistical methods to interpret data and identify trends. This will help the business understand patterns and make informed decisions.- Model Development: Build predictive models using machine learning techniques. The models will be used to forecast outcomes and enhance business strategies.- Visualization: Create visual representations of data findings. Use tools and software to present data in a clear and engaging way to stakeholders.- Collaboration: Work closely with cross-functional teams, including engineers and business analysts. This collaboration is essential for integrating data insights into projects and strategies.- Continuous Learning: Stay updated with the latest data science trends and tools. This will ensure that the application of methods and technologies remains relevant and effective.The ideal candidate should possess strong programming skills in languages such as Python or R, experience in working with databases, and proficiency in statistical analysis. Strong problem-solving skills, attention to detail, and effective communication abilities are crucial for conveying complex data insights to non-technical audiences. A passion for data-driven decision-making and a proactive approach to challenges are expected.

Key ResponsibilitiesGenerative AI Development (50%)Architect, build, and deploy production-ready Generative AI solutions using Python, LangChain/LlamaIndex, OpenAI API, Anthropic, Hugging Face, and open-source LLMs (Llama, Mistral).Design and implement Retrieval-Augmented Generation (RAG) architecture using vector databases (Chroma, Pinecone, FAISS, Qdrant) for enterprise document intelligence and semantic search.Build multi-agent AI systems, custom chatbots, and workflow automation using tools like CrewAI, AutoGen, and LangGraph.Fine-tune, evaluate, and optimize open-source foundation models for domain-specific tasks and latency/cost efficiencies.Integrate GenAI backend pipelines with RESTful APIs (FastAPI/Flask) and front-end application interfaces.Technical Training & Mentorship (50%)Deliver hands-on, structured training modules on Generative AI concepts, Prompt Engineering, Fine-tuning, RAG architecture, Vector DBs, and AI Application Development.Mentor trainees, students, and developers through live AI build projects, code reviews, and real-world debugging workflows.Develop up-to-date curricula, practical lab exercises, coding benchmarks, and project blueprints reflecting current GenAI industry practices.Conduct technical assessments, hackathons, and mock technical interviews to prepare candidates for corporate AI roles.

Key ResponsibilitiesAI Video Generation & Augmentation: Utilize generative AI platforms to create high-quality text-to-video or image-to-video B-roll sequences, animations, and transitions. Automated Editing & Culling: Implement AI-driven non-linear editing (NLE) workflows to automate transcriptions, eliminate filler words, perform text-based cuts, and generate rapid rough cuts. Short-Form Content Re purposing: Strategically slice and format existing long-form webinars, podcasts, or product clips into highly engaging, optimized vertical formats (Reels/Shorts) featuring attention-grabbing hooks. AI Audio & Avatar Integration: Generate professional-grade AI voiceovers using Text-to-Speech (TTS) tools, sync digital talking avatars, and balance audio elements (dialogue clarify, background sound isolation). Dynamic Graphics & Subtitles: Apply stylized, bold, and modern on-screen captions, text templates, and basic motion graphics to maximize viewer hold-rates and accessibility. Prompt Library Management: Build and organize a corporate prompt repository and reusable template framework to ensure repeatable, high-efficiency batch production cycles.

A Day in the Life of an Online Data Analyst:In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwideCompleting research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.Qualification pathNo previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.Basic Requirements- Full Professional Proficiency in English & Punjabi language- Being a resident in India for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in India.- Ability to follow guidelines and conduct online research using search engines, online maps, and website information- Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance- Daily access to a broadband internet connection, computer, and relevant softwareAssessmentIn order to be hired into the program, youll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.

Job Title: Tech LeadExperience: 6 - 8+ YearsEmployment Type: Full-time / Work from officeRole OverviewWe are looking for an experienced Tech Lead to join our dynamic team and drive the development of scalable AdTech solutions. The ideal candidate will bring strong technical expertise, leadership capabilities, and experience working in Agile environments.You will play a key role in building innovative platforms that automate media transactions and enhance global audience engagement.Key Responsibilities Provide hands-on technical guidance to engineering teams. Enforce best practices in coding standards, architecture, and design principles. Lead Agile POD teams across product, engineering, and QA. Ensure timely delivery of technical deliverables with high quality. Collaborate with solution architects to design scalable and maintainable systems. Convert architecture designs into development plans. Mentor junior engineers and promote continuous learning. Encourage collaboration and innovation within the team. Oversee the entire development lifecycle from planning to deployment. Resolve technical challenges to ensure smooth delivery. Identify development bottlenecks and optimize workflows. Implement automation to improve productivity and performance.Required Skills & Qualifications Bachelors or Masters degree in Computer Science, IT, or related field. 6+ years of experience as a Tech Lead or Senior Developer. Strong experience working in Agile development environments.Technical Skills Programming: Java, Python, Angular, C++ Databases: MongoDB, SQL, NoSQL Cloud Platforms: AWS Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras Experience deploying AI models in production Knowledge of deep learning, NLP, computer vision, or generative AIPreferred Skills Experience in AdTech / OOH advertising / E-commerce platforms Knowledge of CI/CD pipelines and DevOps practices Familiarity with tools such as Jira and ConfluenceTech Stack Programming: Java, Python, C++ Frontend: Angular, React Database: MongoDB, SQL, NoSQL Cloud: AWS