Machine Learning Engineer Job Vacancies in Bangalore

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 looking for an AI Engineer to join our team in Bangalore. This role is suitable for candidates with 0 to 5 years of experience. As an AI Engineer, your primary focus will be on developing and implementing artificial intelligence models and systems.Key Responsibilities:- Develop AI Models: Create and enhance AI models to solve specific problems, ensuring they are effective and efficient.- Data Analysis: Analyze large data sets to extract meaningful patterns and insights, which are crucial for training AI systems.- Collaboration: Work closely with software developers and data scientists to integrate AI solutions into existing applications and platforms.- Testing and Validation: Conduct tests on models to evaluate their performance, making necessary adjustments to improve accuracy.- Documentation: Maintain clear documentation of processes, models, and findings, facilitating knowledge sharing within the team.Required Skills and Expectations:Candidates should have a solid understanding of programming languages such as Python or Java, as these are essential for model development. Familiarity with machine learning frameworks like TensorFlow or PyTorch is crucial for building robust AI solutions. A strong analytical mindset and problem-solving abilities are key traits we expect. Additionally, it is important for candidates to communicate effectively, as collaboration with team members is pivotal. While prior experience is beneficial, a keen interest in artificial intelligence and a willingness to learn are equally valued. Candidates should have completed at least their 12th grade education.

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

We're Hiring: AI Engineer at MSolve TechMSolve Tech is looking for a talented AI Engineer with 4+ years of experience to design and build AI products using Agentic AI (Autogen), Python backend, and React/Node.js front-end.What You'll Do:Build AI-powered products from concept to deployment.Develop backend services in Python and integrate AI/ML pipelines.Create responsive front-end apps using React & Node.js.Work with RDBMS and Azure Cosmos DB.Skills We're Looking For:Python, Node.js, ReactAgentic AI (Autogen)RDBMS & Azure Cosmos DBProduct-focused mindset & strong problem-solving skillsWhy Join Us:Lead the development of cutting-edge AI productsFlexible work environmentGrow your skills with an innovative tech team

We are looking for candidates who can demonstrate a proactive and hands-on approach to learning AI. Foundational AI/ML in Practice: You have moved past theory and have practical, hands-on experience. This must be demonstrated through: Personal or Academic Projects: You have built projects where you have trained a machine learning model (e.g., using Scikit-learn, PyTorch) and/or consumed a third-party AI API to create an application. Data Handling Skills: You have experience using Python with libraries like Pandas and NumPy to clean, manipulate, and prepare data for machine learning tasks. Knowledge of Modern AI Architectures: You can clearly explain and have a working knowledge of core concepts in the modern AI stack. You must understand: What Large Language Models (LLMs) are and the key differences between them. Model Context Protocol (MCP) Fundamentals: You must grasp the core mechanics of how models use context, including: The concept of a model's context window and its practical limitations. Basic strategies for managing conversation history or state in multi-turn interactions. The principles of Prompt Engineering and Retrieval-Augmented Generation (RAG). The core concepts of Agentic AI: what it means for an AI to have goals, use tools, and perform multi-step reasoning. Strong Programming Fundamentals: Proficiency in Python: You have used Python to build small applications or complex scripts. Familiarity with Backend Concepts: You understand the basics of building an API and have some exposure to a backend framework. Familiarity with Node.js is a strong plus. Analytical Mindset: You possess a bachelor's degree in computer science, Data Science, Engineering, or a related field, and you know how to break down complex problems logically.

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 7+ yearsShare your profilestosandhya@welkinsofttech.com To apply, send your profile to sandhya@welkinsofttech.com / hr@welkinsofttech.com or connect with us here. Key Responsibilities:LLM Development: Design, fine-tune, and implement large language models (e.g., GPT, BERT, T5) for applications like personalized learning, content generation, and semantic search.Generative AI Solutions: Drive innovation with Gen AIdeveloping tools like adaptive learning paths, resume builders, and AI-written job descriptions.Machine Learning: Create predictive models and recommendation engines that align user profiles to skills and job opportunities.Token Optimization: Work with OpenAI and other services to manage token efficiency and usage costs.AI Integration: Collaborate with product and engineering teams to integrate AI features seamlessly into the Elefy platform.Data Engineering: Build and maintain robust data pipelines using Python, Node.js, and MongoDB.Data Analysis: Analyze large datasets to surface actionable insights for user engagement and platform growth.Visualization & Reporting: Build dashboards using Tableau, Power BI, or Matplotlib to communicate insights to stakeholders.Documentation: Ensure clear and comprehensive documentation for models, pipelines, and workflows. Who Were Looking For:Experience:8+ years in data science or AI, with 3+ years hands-on with LLMs or Gen AI in production settings.Proven track record of delivering ML models in scalable, real-world applications.Skills:Languages: Python (must), R, SQLFrameworks: PyTorch, TensorFlow, Hugging Face, Scikit-learnPrompt Engineering: Few-Shot Learning, Dynamic Prompting, Role Play, Chain-of-Thought (nice to have)Cloud: Azure (preferred), AWS, or GCPDatabase: MongoDB or similar NoSQL/SQL systemsKnowledge & Tools:Deep NLP & LLM expertise (e.g., GPT, BERT, T5, etc.)Containerization, APIs, CI/CD, and Azure-native cloud toolsStrong visual storytelling via Tableau, Power BI, or Python-based plotsAgile & cross-functional collaboration mindset Bonus Points:Experience with ethical AI, bias mitigation, and explain abilityFamiliarity with skill-based learning platforms or EdTech ecosystemsJoin us at Elefy and be part of a team thats reshaping the future of learning with AI.

We are seeking a skilled and motivated Machine Learning Engineer to join our innovative AGPHRteam. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes. Responsibilities: Develop, train, and deploy machine learning models for various applications such as detection/ classification, clustering, and recommendation systems. Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets. Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions. Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation. Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud. Implement and maintain model monitoring systems to track performance and ensure reliability. Stay updated with the latest advancements in machine learning, deep learning, and AI technologies. Contribute to code reviews, best practices, and continuous improvement processes within the team. Required Skills: Demonstrable skills in owning Machine Learning projects in the past. Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. Hands-on experience of YOLO/ImageNet/Bytetrack or similar models. Strong understanding of statistical concepts, data analysis, and data visualization. This document is strictly confidential Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage.

Job Overview:This role is to support the students who are working on the course assignments and project as the part of ExcelR training.Responsibilities and Duties:- Evaluate Assignments of the Students- Help the participants to solve their Queries - mentor/ Co- mentor the projectsQualifications:-Any graduate-Completed the course on Data Analytics or Data Science-Should have a Good Communication skillsRequirements:For DA: any of the following 2 modules (Excel, My SQL, Tableau, PowerBI)For DS: Knowledge of ML concepts

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

To improve our machine learning systems, we are seeking a machine learning engineer with exceptional talent. You will be evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.Knowledge in Machine Learning & Artificial Intelligence/Machine Learning.Knowledge developing solutions with Pandas/Scikit-learn, Spark, or comparable technologies.Knowledge Machine Learning & Artificial Intelligence notebooks (Jupyter, Zeppelin, or other).Knowledge of relevant programming languages - for example, R, Python, C++, C, SQL, and Java - as needed to perform at the job levelKnowledge of principles, techniques, and procedures used for production and design of technology-based equipment and systems as needed to perform at the job levelEnsuring that algorithms generate accurate user recommendations.Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.Have knowledge of mathematics, statistics, and algorithms.Superb analytical and problem-solving abilities.

Responsibilities Design, develop and implement product functionalities and ecosystem solutions of Effort Estimation, allocation and tracking of tasks Define product specifications and its ecosystem requirements and take the lead on operational and technical releases and enhancements. Develop high-quality product functionalities, software design and architecture Identify, prioritize, and execute tasks in the product release, enhancements and software development life cycle Develop tools and applications by producing clean, efficient code, configuration and ecosystem Automate tasks through appropriate tools and scripting o Review and debug code Perform validation and verification testing Collaborate with internal teams and vendors to fix and improve products Document development phases and monitor systems Ensure product is up to date with latest technologies Create an inspiring team environment with an open communication culture Delegate tasks and set deadlines Oversee day-to-day operation Expertise in Java Hibernate and Spring Expertise in RDBMS like MySQL Expertise in NoSQL Database like MongoDB Experience of Elasticsearch Experience in any front-end framework like Angular Experience in building APIs and services using REST APIs. Knowledge of AI and ML Aware of build and project management tools like Maven and Gradle Experience in Scrum/Agile development methodologies Hands on Experience required in system design Creating HLD LLD Micro-services distributed systems solving open ended problems

Job Responsibilities Build software products with R&D teams that are openly collaborative, are non-hierarchical, respect contributions, and work with agility. Provide vision & leadership for the technology roadmap of our products. Plan and execute PoCs as necessary. Build and maintain the next-generation ML platforms and infrastructure Create & Maintain CI/CD Pipelines for Machine learning models on AWS. Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning-based) and data pipelines. Work closely with the Dev team to create software deployment strategies and solutions and beaccountable for designing, building, and optimizing automation systems with quality and speed Accountable for architecture and technical leadership of complete DevOps infrastructure Skill Requirement Mandatory Understanding of Machine learning pipeline Experience with productionizing deep learning applications Experience with training, inference and deploying deep learning models using DevOps principles Familiarity with commonly used frameworks like tensorflow, torch, sklearn, etc Experience with containerization Experience with version control tools such as Git, Bitbucket etc Good understanding of NLP models like GPT, BERT, etc Expertise in Installation, Configuration and file system management of Linux. Performance tuning, perform backup and restore. Experience on configuration management tool like git and SVN. Configuring and managing Apache webserver and MySQL server. Hands on experience on Amazon Web Services. Hands on different operating systems. Hands on experience on virtualization software such as Virtual Box, VMware, Vagrant andDocker Designing and deploying a multiple application using almost all of the AWS features (including EC2, Route53, VPN, IAM, S3, RDS) focusing on high-availability, fault tolerance and

Mandatory Skills:An overall 5 yrs of IT experience with an Engineering degreeExcellent in data science and machine-learning concepts dealing with decoding data, video frames and performing data analysis [3+ yrs]Programming experience in languages like Python and JavaDemonstrate successful experience learning new technologies quicklyDesired skills:Knowledge on various AWS Services like S3, CloudWatch, CloudTrail, Lambda etcDebugging skills on JAVA, experience on DevOps tools, CICD pipelinesJapanese language JLPT N2/N3 certification

Deliver services in a direct capacity on IAM ForgeRock engagements Engage in requirements gathering and use cases development Create, validate, and justify security solutions and designs consistent with client objectives and best practices Develop deployment and implementation methodology and standards consistent with vendor best practices Install, integrate, configure, and deploy IAM solutions and systems to facilitate User Life-Cycle Management, Identity and Access Governance, Automated Provisioning, Single Sign-On, Federation, Privileged Account Management Transcribe and present technical information to business/executive levels Develop and execute test cases and test plans for IAM solutions Respond to escalations. Creating code reviews and reviewing code reviews from other team members Requirements: 4+ years' Experience hands-on Identity and Access Management implementation using ForgeRock and tools (openAM, openIDM, openDJ, Amster, SSOAdmin). Ability to troubleshoot support requests with minimal guidance. Experience with light admin/support for Linux (Redhat) and Windows OSs. Experience with light admin/support of Tomcat. Understanding of and ability to write basic Linux shell and Windows PowerShell scripts. Experience working in ITSM environment and using related tools (ServiceNow or similar). Experience working in Controlled Change Management/Deployment environments (supporting SDLC process) Budget: Open N.Period: Immediate joining Job location: Bangalore

COMPANY- Emplay Inc Job Location-Bengaluru, Work from home(Currently)Position Summary:As a Senior NLP Engineer you will primarily focus on building the NLU platform for Emplay by working with Analytics Team, Data Scientists, Data Engineers, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with internal and external customer teams to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers and customers. Responsibilities:? As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with Analytics and Product Management teams.? You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.? Design and implement infrastructure for orchestrating end to end machine learning life cycles? Set up processes to monitor and continually improve efficiency and performance of models? Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.? Write high-quality production code as you build and maintain robust, scalable machine learning systems.? Program primarily in Python using efficient algorithms and software design patterns? Scale and improve performance of Natural Language systems in production? Leadership, Team Management, Stakeholder Management exposure.Required Qualifications:? MS/PhD/BTech in NLP, ML, AI, Engineering or equivalent? 3-5 years of relevant experience in Natural Language Understanding, Recommendation Engine, Topic classification, Semantic Search

Job Title: Data EngineerExperience: 6+ YearsLocation: BangaloreJob SummaryWe are seeking an experienced Data Engineer with 6+ years of experience in designing, developing, and supporting modern data engineering solutions. The ideal candidate will have strong expertise in Azure, Databricks, PySpark, SQL, Python, AI/ML, and production support. Experience in the Healthcare, Claims, or Payer domain is highly preferred.Key Skills & RequirementsData Engineering & Cloud6+ years of experience in Data Engineering.Strong hands-on experience with Microsoft Azure and Azure Data Services.Expertise in Azure Data Factory (ADF), including pipelines, triggers, monitoring, and troubleshooting.Strong experience with Azure Databricks.Hands-on experience with Delta Tables, PySpark, and Spark SQL.Experience with workflow orchestration tools such as Apache Airflow.Database & SQLExperience with Oracle and Snowflake databases.Strong understanding of SQL-based RDBMS platforms.Advanced SQL skills, including:Complex joinsQuery optimization and performance tuningAnalytical functionsProgramming & AI/MLStrong proficiency in Python (Mandatory).Knowledge of additional programming languages such as Java or Scala is preferred.Hands-on exposure to AI/ML technologies (Mandatory).Experience with AI tools, AI Builder, ML pipelines, or analytics-driven use cases.Production Support & QualityExperience in production support and issue resolution.Strong knowledge of incident management, RCA, and SLA adherence.Experience in data validation, reconciliation, and testing.Exposure to QA automation and data testing frameworks is preferred.Preferred QualificationsExperience working with Optum is preferred.Strong experience in the Healthcare, Claims, or Payer domain.Candidates with Optum experience should clearly mention the duration and role on their resume.Must-Have SkillsAzureAzure Data Factory (ADF)Databricks / PySpark / Spark SQLPythonAdvanced SQLAI/MLGood-to-Have SkillsApache AirflowOracle and SnowflakeHealthcare / Claims / Payer domainOptum experienceProduction Support & QA Automation