Machine Learning Job Vacancies in Delhi NCR

We are seeking a Machine Learning Engineer to join our team in Delhi. This role is ideal for individuals with 0 to 2 years of experience who are eager to develop their skills in a full-time, office-based environment.**Key Responsibilities:**- **Develop Machine Learning Models:** Design, implement, and test machine learning algorithms to address business challenges and improve processes. You will work with data to create models that can predict outcomes or automate tasks.- **Data Preprocessing:** Clean and prepare raw data for analysis. This involves transforming data into a usable format which is essential for training effective machine learning models.- **Model Evaluation:** Assess the performance of machine learning models using various metrics. You will analyze results to ensure models meet expected accuracy and performance standards.- **Collaboration with Teams:** Work alongside data scientists, software engineers, and business stakeholders to understand project requirements and deliver tailored solutions.- **Stay Updated on Trends:** Keep up with the latest advancements in machine learning technology and methods. Continuous learning is crucial for applying innovative approaches to your projects.**Required Skills and Expectations:**- A degree in Computer Science, Mathematics, or a related field, with a strong understanding of algorithms and data structures.- Basic knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.- Familiarity with programming languages like Python or R, which are commonly used for data manipulation and model development.- Strong analytical skills, attention to detail, and the ability to work effectively in a team environment. Open to feedback and eager to learn from more experienced colleagues is essential for growth in this role.

About the RoleWe are seeking an experienced Python and React TypeScript Full Stack Developer to join our engineeringteam. The ideal candidate will bring a strong background in building scalable web applications, designingand consuming RESTful APIs and webhooks, and working across multiple database technologiesincluding PostgreSQL, MongoDB, and Microsoft SQL Server. Hands-on experience with machine learningmodels is essential, as you will be responsible for integrating intelligent features into our products.Key Responsibilities Design, develop, and maintain full stack web applications using Python (Django/Flask/FastAPI)on the backend and React on the frontend. Architect and implement RESTful APIs and webhook integrations to enable seamlesscommunication between internal and third-party systems. Build and manage database schemas, queries, and migrations across PostgreSQL, MongoDB, andMicrosoft SQL Server. Develop, fine-tune, and deploy machine learning models into production environments,ensuring scalability and performance. Collaborate with data scientists and product teams to translate ML prototypes into robust,production-ready features. Write clean, maintainable, and well-tested code with comprehensive unit and integration tests. Participate in code reviews, architectural discussions, and sprint planning to maintain highengineering standards. Monitor application performance, troubleshoot production issues, and implement optimisationsto improve speed and reliability. Contribute to CI/CD pipelines, infrastructure-as-code, and DevOps best practices. Mentor junior developers and contribute to a culture of continuous learning and technicalexcellence.Required Skills & Qualifications Minimum 5 years of professional experience in full stack development. Strong proficiency in Python (Django, Flask, or FastAPI) and React with TypeScript, with a proventrack record of building and delivering production-grade full stack applications.JOB DESCRIPTIONConfidential Page 2 Extensive experience designing, building, and consuming RESTful APIs and webhook-basedevent-driven architectures. Solid working knowledge of PostgreSQL, MongoDB, and Microsoft SQL Server, including queryoptimisation and data modelling. Hands-on experience developing, training, and deploying machine learning models usingframeworks such as TensorFlow, PyTorch, or scikit-learn. Familiarity with ML pipelines, feature engineering, model evaluation, and deployment strategies(e.g., MLflow, Docker, Kubernetes). Experience with version control systems (Git) and collaborative development workflows. Strong understanding of software engineering principles including SOLID, DRY, and designpatterns. Excellent problem-solving skills with the ability to work independently and within cross-functional teams.Nice to Have Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with message brokers (RabbitMQ, Kafka) and event-driven microservicesarchitectures. Exposure to NLP, computer vision, or recommendation systems. Experience with containerisation (Docker) and orchestration (Kubernetes). Knowledge of .NET MVC or WebForms is a plus. Experience with data visualisation libraries (D3.js, Plotly, or similar).What We Offer Competitive salary and performance-based bonuses. Flexible working arrangements (hybrid/remote options). Professional development budget for conferences, courses, and certifications. Opportunity to work on cutting-edge projects involving AI and machine learning. Collaborative, supportive team culture with a focus on innovation. Generous holiday allowance, pension contributions, and health benefits.If you interested, Share me your CV at.Riya Mishra8370014003hrcps9@gmail.com

GenAI Engineer - Job DescriptionLocation: NoidaJob Type: Full TimeExperience Level: 1-3 yearsJob SummaryWe are seeking a passionate and skilled GenAI Engineer to join our team and work on cutting-edge Generative AI applications. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern AI frameworks. This role offers an excellent opportunity to build intelligent, scalable AI solutions and grow in the rapidly evolving field of Generative AI.You will be responsible for designing and implementing RAG pipelines, integrating LLMs into production systems, and optimizing AI-powered applications for real-world use cases.Key ResponsibilitiesHands-on experience with LLMs such as OpenAI GPT, Claude, Llama, or MistralStrong experience building end-to-end RAG pipelines (data ingestion, chunking, embeddings, retrieval, response generation)Expertise in LangChain / LangGraph for AI workflows, agents, and orchestrationExperience with Vector Databases (Pinecone, Qdrant, Weaviate, ChromaDB, FAISS)Strong Prompt Engineering and optimization techniquesProficiency in Python with backend development using FastAPI/DjangoExperience integrating LLM APIs into scalable applicationsUnderstanding of embeddings, NLP concepts, semantic search, and data preprocessingExperience working with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) databasesMLOps, aws sagemaker, redis, DBMS, distributed systems, microservicesRAG, graph rag, langraph, vector dbs like neo4j, milvus, qdrantGood to HaveExperience with model fine-tuning and training custom modelsKnowledge of LangSmith or other LLM observability toolsUnderstanding of token optimization and cost management for LLM applicationsExperience with streaming responses and async processingFamiliarity with Docker and containerizationExposure to cloud platforms (AWS, Azure, or GCP) for AI deploymentExperience with CI/CD pipelinesKnowledge of MLOps practices and model versioningUnderstanding of AI safety, ethics, and responsible AI principlesExperience building conversational AI agents or chatbotsFrontend integration experience (React, Vue, or Angular)EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related fieldRelevant certifications in AI/ML or LLM technologies are a plusWhat We OfferCompetitive salary and benefits packageOpportunity to work on cutting-edge Generative AI projectsCollaborative and innovative work environmentExposure to latest LLM technologies and frameworksCareer growth and continuous learning opportunitiesFlexible work arrangementsMentorship from experienced AI practitioners

We are looking for a creative and tech-savvy AI Video Producer who can create high-quality real estate videos using AI tools. This role is ideal for someone who understands video storytelling and can leverage AI platforms to produce engaging property content at scale.Key Responsibilities:Create AI-generated real estate videos (property walkthroughs, ads, reels)Convert property details into scripts, visuals, and final videosUse AI tools like Runway ML, Pika Labs, Midjourney, and ChatGPTEdit and enhance videos with music, voiceovers, and effectsOptimize content for Instagram, YouTube Shorts, and ad campaignsStay updated with latest AI tools and implement new workflowsRequirements:Basic experience in video editing (Premiere Pro / After Effects or similar)Strong knowledge of AI platforms and tools for content creationUnderstanding of prompt writing and AI output optimizationCreative mindset with storytelling abilityInterest in real estate marketing is a plus0-3 years experience (freshers with strong skills can apply)AI Platform Knowledge (Must Have / Good to Have):Text & scripting: ChatGPTImage generation: MidjourneyVideo generation: Runway ML, Pika LabsVoiceover tools: ElevenLabs or similarAutomation tools: basic understanding of workflows (Zapier, Make, etc.)

Key Purpose of RoleArchitect and scale cloud services for the App Manager/GSIS/HES ecosystem onGoogle Cloudto handlehighvolume app traffic, telemetry pipelines, andtimeseries datawith robust release management.Areas of Responsibility / TasksDesignPaaSnativearchitectures for ingestion, transformation, streaming, and timeseries storage (BigQuery/Bigtable); enableDaaS/portalfor data discovery and controlled consumption.OperationalizeMLusingBigQuery MLandVertex AI; establish model lifecycle, validation, monitoring, and rollback.ImplementCI/CD & DevSecOpsfor app services; enforce coding standards, scalability patterns, and security baselines.Integrate withHES/MDMS/GSISand utility systems; ensuresecure, reliable APIsand contracts.Build realtimeobservability(metrics/logs/traces/health dashboards) for Java applets/services.Expectations for Skills & Experience712 years in cloud platform architecture; strong withGCP, microservices, streaming, and timeseries DBs.Experience withVertex AI/BigQuery ML, API gateways, and highscale event pipelines in utilities/IoT.Behavioral CompetenciesArchitecture leadership, crossfunctional collaboration, crisp documentation.QualificationsB.E/B.Tech/M.E/M.Tech;GCP Professionalcerts preferred.

- Develop and deliver AI training modules: The AI Trainer will be responsible for creating engaging training materials and conducting sessions to educate employees on artificial intelligence concepts and applications.- Provide one-on-one coaching: The AI Trainer will work closely with individuals to help them understand AI technologies and how to apply them in their specific roles.- Assess training needs: The AI Trainer will evaluate the knowledge gaps within the organization and design training programs to address those specific needs.- Monitor progress and evaluate effectiveness: The AI Trainer will track the progress of employees who undergo AI training and assess the effectiveness of the training based on their performance improvements.- Stay updated on AI trends: It is important for the AI Trainer to stay current on the latest trends and advancements in the field of artificial intelligence in order to provide relevant and up-to-date training.- Excellent communication skills: The AI Trainer should have strong verbal and written communication skills to effectively convey complex AI concepts to employees at all levels of the organization.- Ability to simplify technical concepts: The AI Trainer should be able to break down complex AI topics into simple, digestible chunks to ensure understanding among employees with varying levels of technical expertise.- Patience and empathy: As employees may have varying levels of knowledge and understanding of AI, the AI Trainer should have the patience to work with individuals at their own pace and the empathy to understand their learning challenges.

The role: Earn up to $800 - $1,500 per month (depending on experience) as a Data Scientist at Venture Smarter, your trusted partner in navigating the complex landscape of business growth and transition.As a Data Scientist, you will leverage your skills and expertise in data science, machine learning, and artificial intelligence to extract valuable insights from large and complex data sets. You will work on various projects and initiatives that aim to improve our products and services, enhance customer experience, and drive business growth and innovation.Head on over to search on Google for Venture Smarter then go to our Career page from the homepage if you dare to aspire for better in your career!**** Given the high number of applications we receive, we will only respond to those who meet the qualifications for the positions applied for.Please note that we will not reply to job application inquiries sent to our social media accounts. All communication from us will be conducted via email.If you do not receive a response, you are welcome to re-apply after six months for another suitable position within our company. ****Venture Smarter has been featured in media outlets such as CBS News, Digital Journal, and Go Banking Rates. Check us out youll know were the place to be.What the job entails: Collect, clean, and preprocess data from various sources, such as databases, APIs, web scraping, or surveys Explore and analyze data to discover patterns, trends, and anomalies, and generate hypotheses and questions Build and test predictive models and machine learning algorithms, using tools such as TensorFlow, PyTorch, or Scikit-learn Evaluate and optimize the performance and accuracy of the models and algorithms, and fine-tune the parameters and features Deploy and integrate the models and algorithms into production systems and applications, using tools such as Flask, Docker, or Kubernetes Create and deliver data products and solutions, such as dashboards, reports, and visualizations, using tools such as Plotly, D3.js, or Shiny Communicate and explain complex data and findings to various stakeholders and audiences, using clear and compelling language and visuals Conduct research and experiments on new and emerging data science, machine learning, and artificial intelligence techniques and technologies, and apply them to business problems and opportunitiesJob Requirements: Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; or equivalent work experience Minimum of 5 years of experience in data science, machine learning, or a similar role, preferably in a tech or consulting industry Expertise in data science, machine learning, and artificial intelligence concepts, methods, and techniques, such as regression, classification, clustering, natural language processing, computer vision, or deep learning Proficient in programming languages and frameworks, such as Python, R, Java, or C++ Proficient in data analysis and manipulation tools and libraries, such as SQL, Pandas, or NumPy Proficient in machine learning and deep learning tools and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Keras Proficient in data visualization and presentation tools and libraries, as Plotly, D3.js, Shiny, or Matplotlib Excellent communication, presentation, and storytelling skills, with the ability to communicate effectively with diverse stakeholders and audiences Strong analytical, problem-solving, and creative thinking skills, with the ability to use data and logic to support decisions and recommendations Ability to work in a fast-paced, dynamic, and innovative environment, and manage multiple projects and deadlines Curiosity, passion, and enthusiasm for data science, machine learning, and artificial intelligence, and their applications and implications

As a Java Developer, your responsibilities will include designing, developing, and implementing software solutions using Java programming language. You will be involved in all stages of the software development lifecycle, from brainstorming and planning to testing and deployment. Your skills should include strong knowledge of data structures and algorithms (DSA), proficiency in Python programming language, and understanding of artificial intelligence (AI) concepts. Experience in machine learning (AI/ML) would be a bonus as well.

We are seeking a skilled MLOps Engineer to lead the automation of the ML lifecycle from training to deployment. You will manage scalable CI/CD pipelines, containerized workflows, and performance monitoring across multiple deployment targets.

We are looking for a creative & tech-savvy designer who can blend art with AI to produce mind-blowing content! If you eat, sleep, and breathe design tools like Midjourney and Photoshop, we want you in our team!Position HighlightLocation: Kirti Nagar, New DelhiExperience: 13 YearsSalary: Negotiable Skill Required:Midjourney, Ideogram, Leonardo AIAdobe Photoshop & IllustratorFigma / CanvaRunway ML, VEO3, Pika LabsAI Prompt EngineeringAI Art Creation / AI VideosMotion Graphics & AnimationCreative Concept Development

Senior LLM Engineer Remote Option Full Time 1. Sr LLM Engineer1. 7 to 12 years of professional experience in building Machine Learning models & systems/ software Engineer background and moved to LLM for last 3-4yrs2. 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.3. Experience in driving the engineering team toward a technical roadmap.4. Experience in programming skills in Python, Langchain and SQL is a must.5. Understanding of Cloud services, including Azure, GCP, or AWS6. Excellent communication skills to effectively collaborate with business SMEsSkill Set Details LLM Generative AI Machine Learning Cloud Technology Python RAG Langchain SUBMISSION DetailsCurrent SalaryExpected SalaryNotice Period / Immediate JoinerCurrent LocationReason for Job Change Any offers in HandLinkedIN ID Skill Set Details ThanksVenkat SankaranSenior Human Resource ManagerPROTOMINDS SOFTWARE SOLUTIONS PVT LTD https://www.protominds.com/

Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Lifelong learning is a vital skill that involves proactively acquiring new knowledge, skills, and experiences to excel in an ever-evolving world. It emphasizes curiosity-driven exploration through formal education, online courses, workshops, and self-study. A dedicated learner enhances technical, soft, and domain-specific skills, applying this knowledge to solve real-world challenges effectively. Key qualities of a lifelong learner include a growth mindset, adaptability, self-motivation, and resilience, allowing them to embrace new concepts, tools, and feedback while learning from failures. Effective time management and critical thinking further enable them to balance learning with other responsibilities. Leveraging platforms like Coursera, NPTEL, and industry resources, as well as engaging in collaboration and hands-on practice, supports continuous development. This commitment to learning ensures personal and professional growth, fostering adaptability and innovation in a dynamic environment.

Divyansh Services hiring Python for Machine Learning for renowned Premium Software Company of Gurgaon.Position- Python for Machine LearningSalary-1 to 1.2 lakh per monthSkills- Python: 2, Python for Data Science: 1, Machine Learning: 1, PyTorch: 1, Keras: 1, Tensorflow: 1Exp- 3+ years MandatoryPositions Open: 10+Location-GurgaonJob Responsibilities:1. Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.2. Implement machine learning models and preprocessing pipelines using Scikit-learn.3. Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.4. Design and implement deep learning architectures such as CNNs, RNNs, GANs, and transfer learning models.5. Explore and apply reinforcement learning techniques to enhance AI solutions.Divyansh Services hiring Python for Machine Learning for renowned Premium Software Company of Gurgaon.Position- Python for Machine LearningSalary-1 to 1.2 lakh per monthSkills- Python: 2, Python for Data Science: 1, Machine Learning: 1, PyTorch: 1, Keras: 1, Tensorflow: 1Exp- 3+ years MandatoryPositions Open: 10+Location-GurgaonJob Responsibilities:1. Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.2. Implement machine learning models and preprocessing pipelines using Scikit-learn.3. Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.4. Design and implement deep learning architectures such as CNNs, RNNs, GANs, and transfer learning models.If anyone interested then call on +91 94395 14695 or send cv on info.divyanshservices@gmail.com

Send your CV to iimmiindia@gmail.com

Software developer

About role: We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions. You will write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases, fix bugs in the code, and create thorough documentation. The ideal candidate will communicate clearly with researchers and help the organization in realizing its objectives, and clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. It will also utilize extensive data analysis skills to develop and respond to important business queries using available datasets (such as those from Kaggle, the UN, the US government, etc.)Required Skills: Bachelors/Masters degree in Engineering, Computer Science (or equivalent experience). At least 2 years of relevant experience in Data Science or Data Analysis. At least 2 years of experience working with Python programming. A desire to have a significant impact on the field of artificial intelligence. Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings Excellent problem-solving and analytical skills. Excellent communication abilities to work with stakeholders and researchers successfully. Fluent in conversational and written English communication skills.

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Looking for freshers with skillset to work on live projects under web development domain

Key Responsibilities: Process Analysis:Collaborate with business analysts and stakeholders to analyze and understandbusiness processes for automation.Identify opportunities for automation and recommend RPA solutions. UiPath Development:Design, develop, and implement end-to-end automation solutions using UiPath.Create and maintain automation workflows, integrating UiPath best practices.Develop and configure bots for optimal performance and efficiency. Testing and Debugging:Conduct thorough testing of automation solutions to ensure accuracy and reliability.Debug and troubleshoot any issues that arise during the development and testingphases. Documentation:Create comprehensive documentation for all developed automation processes.Maintain updated documentation for changes and enhancements to existingprocesses. Collaboration:Work closely with business units to understand their automation needs andrequirements.Collaborate with IT (Information Technology) and other departments to integrateautomation solutions into existing systems. Training and Support:Provide training and support to end-users and other team members on implementedautomation processes.Assist in resolving issues and inquiries related to automation. Compliance and Security:Ensure that all automation processes comply with regulatory and security standards.Implement security measures to protect sensitive data processed throughautomation.Qualifications and Skills: Bachelor's degree in computer science, Information Technology, or a related field. 5+ years of Proven experience as an RPA Developer using UiPath. Strong knowledge of RPA concepts and methodologies. Proficiency in UiPath Studio, Orchestrator, and other UiPath tools. Experience in analyzing and documenting business processes. Solid understanding of software development life cycle (SDLC) and agile methodologies. Excellent problem-solving and debugging skills. Effective communication and interpersonal s

***Responsibilities:***1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

We are hiring an experienced ML Engineer to lead the design and deployment of robust, production-ready AI systems. You will drive experimentation, model validation, and edge performance benchmarking for scalable biometric applications.

Job Summary:We are seeking a highly skilled and experienced in AI specializing in machine learning, computer vision with a focus on image processing, pattern recognition, video analytics & biometric matching (face, voice etc.). As per the role, you will play a pivotal role in guiding the innovation and development of AI and computer vision- based biometric modules. The ideal candidate will have extensive hands-on experience in creating and deploying machine learning models in large-scale scenarios, with a strong focus on object detection, computer vision, and deep learning model architectures & frameworks, ML Ops & orchestration.Key ResponsibilitiesML Model Development: Lead the design, development, and deployment of machine learning models, specifically in the context of biometric identity verification.Innovation and Research: Stay abreast of the latest advancements in AI and computer vision technologies. Drive innovation by exploring and implementing state-of-the-art solutions in the realm of biometrics.Solution Design & Deployment: Lead the design and architecture of AI solutions, ensuring alignment with business objectives. Collaborate with cross-functional teams to create robust, accurate & scalable solutions for image and video analytics, data analytics, large scale biometric matching processing.Guidance and Mentorship: Provide technical leadership to the data science team, offering guidance and mentorship to ensure the highest standards of performance and continuous skill development. Effectively delegate tasks to junior team members, providing guidance and mentorship. Foster a collaborative team environment and ensure the timely delivery of high-quality solutions.Collaboration: Work closely with other departments, such as software engineering and product management, to integrate machine learning solutions seamlessly into our products and services.Communication: Clearly communicate complex technical concepts to both technical and non-technical

Job Summary:We are seeking a highly skilled Node.js Developer with 5+ years of experience to join our dynamic team. The ideal candidate will be proficient in PHP/Node.js, MVC architecture, and have a strong understanding of MySQL databases, GIT, and RESTful APIs. A quick learner with good knowledge of AWS and solid skills in Data Structures and Algorithms (DSA), you should be able to thrive in a fast-paced startup environment.Key Responsibilities: Develop, test, and maintain high-quality web applications using PHP (Laravel) and Node.js. Implement and maintain MVC architecture in web applications for clean and efficient code. Design and optimize MySQL database schemas and queries for performance and scalability. Build and integrate RESTful APIs to support frontend and other backend services. Work with AWS services (EC2, S3, RDS, etc.) for deploying, managing, and scaling applications. Utilize GIT for version control, ensuring clean and organized code management. Collaborate with cross-functional teams, including frontend developers, designers, and product managers, to deliver high-quality products. Debug and resolve technical issues and bugs in a timely and efficient manner. Continuously learn and adapt to new technologies, tools, and best practices in web development. Apply knowledge of Data Structures and Algorithms (DSA) to optimize application performance and solve complex problems. Participate in code reviews, provide constructive feedback, and contribute to improving coding standards and practices. Work independently and proactively in a startup environment, managing multiple tasks and projects effectively.Qualifications: Bachelors degree in computer science, Engineering, or a related field, or equivalent experience. 4-5 years of experience as a React, Node.js Developer. Proficiency in PHP frameworks, particularly Laravel, and a strong understanding of MVC architecture. Experience with Node.js and JavaSc