ml engineer

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
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 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
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 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
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 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
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 Produce reusable code according to standard methodologies in Python, Scala or Java
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 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
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 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
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 SQL, Data Analysis , Gaming Industry knowledge
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</div>

ML Engineer

Vikgol Technologies Private Limited

Job Title: AI/ML Engineer Experience: 2-8 Years Location: Bangalore, Hyderabad, Pune, Delhi NCR, Chennai Job Type: Full-timeJob Description: We are looking for an AI/ML Engineer to create intelligent systems that leverage data to solve complex business problems. You will design and implement machine learning models and integrate them into our applications.Responsibilities:<ul><li>Research, design, and implement machine learning models and algorithms.</li><li>Perform data preprocessing, analysis, and feature engineering.</li><li>Train, test, and deploy models into production environments.</li><li>Collaborate with software engineers to integrate ML models into applications.</li><li>Stay up-to-date with the latest developments in the AI/ML field.</li></ul>Requirements:<ul><li>2-8 years of experience in building and deploying ML models.</li><li>Strong programming skills in Python.</li><li>Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.</li><li>Experience with data manipulation and analysis using Pandas, NumPy, etc.</li><li>Solid understanding of math, probability, statistics, and algorithms.</li><li>Experience with cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML) is a plus.</li></ul>Job Type: Full-time

AI/ML Engineer

Cloudpacer

Cloudpacer is hiring an AI/ML Engineer with 2&ndash;3 years of hands-on experience in building AI-powered systems. The ideal candidate should have expertise in RAG, vector databases, agentic AI frameworks, and backend engineering using Python and modern frameworks.Key Responsibilities<ul><li>Design and implement AI-native solutions using Gen AI, RAG, and vector databases</li><li>Develop and deploy chatbots, agentic AI workflows, and decision-making systems</li><li>Build scalable backend services and APIs with Python (Django, FastAPI, Flask)</li><li>Optimize ML models for accuracy, scalability, and performance</li><li>Preprocess, train, fine-tune, and deploy ML models in production environments</li><li>Collaborate with cross-functional teams to integrate AI into real-world applications</li><li>Ensure system scalability, reliability, and maintainability</li></ul>Required Skills<ul><li>Strong programming skills in Python</li><li>Hands-on experience with Gen AI frameworks (LangChain, PydanticAI, CrewAI, Relevance AI, MCP)</li><li>Knowledge of ML/DL libraries (TensorFlow, PyTorch, Scikit-learn, Keras)</li><li>Experience with RAG-based systems and vector databases (Pinecone, FAISS, Weaviate)</li><li>Proficiency in backend frameworks (Django, FastAPI, Flask)</li><li>Database skills (PostgreSQL, MySQL, Redis)</li><li>Familiarity with Docker, AWS, and deployment pipelines</li></ul>Good to have<ul><li>Experience with NLP, LLM fine-tuning, or Computer Vision</li><li>Knowledge of MLOps tools (MLflow, Kubeflow, CI/CD pipelines)</li><li>Prior research or open-source contributions</li></ul>How to Apply: Fill out this form https://lnkd.in/dpvJE2ycLet us know how your skills can drive our projects to the next level.Location: On-site, LahoreJob Type: Full-timeWork Location: In person

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with ou r team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 


We are seeking a skilled and motivated AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate will have hands-on expertise in building and deploying AI/ML solutions on the Azure platform, with a strong focus on Large Language Models (LLMs), Agentic Solutions, Retrieval-Augmented Generation (RAG) systems, and Azure ML Studio. You will play a key role in designing intelligent systems, deploying scalable models, and integrating advanced AI capabilities into enterprise applications. 


Primary Responsibilities:
<ul>
<li>AI/ML Development and Deployment:
<ul><li>Architect and implement scalable ML solutions using Azure ML Studio and Azure Machine Learning services</li>
<li>Fine-tune and deploy LLMs for enterprise-grade applications</li>
<li>Design and build RAG pipelines leveraging Azure services and vector databases</li>
<li>Develop and orchestrate multi-agent LLM systems for complex workflows</li>
<li>Ensure robust model deployment, monitoring, and performance optimization in production environments</li>
</ul></li><li>Azure Platform Engineering:
<ul><li>Leverage Azure services such as Azure Data Lake, Azure Synapse, Azure Blob Storage, and Azure Cognitive Search for data ingestion and processing</li>
<li>Integrate AI models with Azure-based data pipelines and APIs</li>
<li>Use Azure DevOps for CI/CD of ML workflows and model versioning</li>
<li>Apply MLOps best practices for model governance, monitoring, and retraining</li>
<li>Ensure compliance with data governance, privacy, and security standards in cloud environments</li>
</ul></li><li>Data Engineering and Processing:
<ul><li>Build and maintain ETL/ELT pipelines for structured and unstructured data using Databricks and Apache Spark</li>
<li>Prepare and transform structured and unstructured data using Python, PySpark, and SQL for training and inference</li>
</ul></li><li>Collaboration and Innovation:
<ul><li>Collaborate with data scientists, product managers, and engineers to deliver AI-driven features</li>
<li>Stay current with advancements in generative AI, LLMs, and Azure AI services</li>
<li>Contribute to the continuous improvement of AI/ML pipelines and best practices</li>
</ul></li><li>Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li>
</ul>
Required Qualifications:
<ul>
<li>Experience:
<ul><li>5+ years of hands-on experience in AI/ML engineering with a focus on Azure</li>
<li>Proven experience in deploying ML models using Azure ML Studio and Azure Machine Learning</li>
<li>Experience working with LLMs, RAG systems, and AI agents</li>
</ul></li><li>Technical Skills:
<ul><li>Experience with Databricks, Apache Spark, and Azure Data services</li>
<li>Familiarity with MCP, Langchain, vector databases and embedding models</li>
<li>Knowledge of Azure DevOps and CI/CD for ML workflows</li>
<li>Proficiency in Python, SQL, LLMs and PySpark</li>
</ul></li><li>Soft Skills:
<ul><li>Proven solid analytical and problem-solving skills</li>
<li>Proven effective communication and collaboration with cross-functional teams</li>
<li>Demonstrated ability to translate business requirements into technical solutions</li></ul></li> 
</ul>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone&ndash;of every race, gender, sexuality, age, location and income&ndash;deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes &mdash; an enterprise priority reflected in our mission.</div>

AI ML Engineer

Pontoon Global Solutions

AI/ML Engineer &ndash; Python | Generative AI | LLMsLocation: Gurgaon, Haryana (On-site) Experience: 6+ Years Job Type: Full-TimeJob SummaryWe are looking for a highly skilled and motivated AI/ML Engineer with over 6 years of experience in Python programming and end-to-end machine learning development. The ideal candidate will have deep expertise in Generative AI, LLMs, document intelligence, and building scalable, production-ready AI systems.This is a high-impact role where you will design and deploy intelligent systems that extract insights from content and documents for real-world business use cases.Key Responsibilities<ul><li>Develop, train, and deploy ML models using Python</li><li>Build and fine-tune models for Business Entity Extraction and Document Insight Generation</li><li>Apply Generative AI techniques for content summarization and generation</li><li>Integrate and utilize LLM APIs (OpenAI GPT-4, GPT-4.1, Claude, etc.)</li><li>Design RESTful and GraphQL APIs using Flask and FastAPI</li><li>Containerize applications using Docker and deploy on Azure Cloud</li><li>Work with relational and NoSQL databases to support AI systems</li><li>Improve model performance, scalability, and reliability in production</li><li>Collaborate with cross-functional teams and stakeholders</li><li>Write clear documentation for models, APIs, and workflows</li></ul>Required Skills and Experience<ul><li>6+ years of experience in Python-based AI/ML development</li><li>Proficient in Generative AI, LLMs, embedding search, and NLP pipelines</li><li>Hands-on experience with Flask, FastAPI, and API design</li><li>Strong understanding of Docker, Azure, and CI/CD pipelines</li><li>Solid background in document processing, entity extraction, and NLP</li><li>Experience with SQL and NoSQL databases</li><li>Strong communication skills &ndash; both written and verbal</li><li>Ability to work independently and collaboratively in a team environment</li></ul>Nice to Have<ul><li>Experience with LangChain, RAG pipelines, or vector databases</li><li>Familiarity with Kubernetes, Airflow, or MLflow</li><li>Knowledge of prompt engineering and LLM fine-tuning</li><li>Exposure to GraphQL API development</li></ul>Job TypeFull-time | WFO (Gurgaon Office)How to ApplyJobs@pontoonglobal.comKeywords for Better ReachAI Engineer, ML Engineer, Generative AI Jobs, Python Developer, GPT Jobs, NLP Jobs, LLM Jobs, LangChain, FastAPI, Flask, Docker, Azure, Data Scientist, Machine Learning Jobs, Gurgaon AI Jobs, India Tech Jobs, GPT-4 DeveloperJob Type: Full-timePay: &#8377;1,000,000.00 - &#8377;1,300,000.00 per yearBenefits:<ul><li>Provident Fund</li></ul>

Sanglob Business Services Private Limited

Job Title: AI/ML EngineerLocation: Pune Type: Full-time Experience: 0&ndash;2 Years Department: AI &amp; Data ScienceJob Summary:We are looking for a passionate and driven AI/ML Engineer with 0&ndash;2 years of experience to join our growing AI/ML team. The ideal candidate has hands-on experience with Python, a solid foundation in data analysis, and exposure to cutting-edge areas like Agentic AI and Genetic AI.Key Responsibilities:<ul><li>Assist in the development and deployment of machine learning models and intelligent agents.</li><li>Support the design and experimentation of agentic workflows using LLMs and decision-making frameworks.</li><li>Work on optimization algorithms including genetic algorithms for problem-solving and feature engineering.</li><li>Contribute to data preprocessing, cleaning, and exploratory data analysis (EDA).</li><li>Write clean, efficient, and well-documented Python code.</li><li>Collaborate with cross-functional teams including data engineers, product managers, and software developers.</li></ul>Required Skills:<ul><li>Proficiency in Python and ML libraries (e.g., scikit-learn, pandas, numpy, matplotlib).</li><li>Exposure to agent-based systems and LLM tools (LangChain, AutoGPT, etc.) is a plus.</li><li>Understanding of genetic algorithms and evolutionary models.</li><li>Experience in working with data analytics and visualization tools.</li><li>Strong analytical and problem-solving skills.</li></ul>Preferred Qualifications:<ul><li>Bachelor's degree in computer science, Data Science, AI/ML, or related field.</li><li>Internship or academic project experience in AI/ML.</li><li>Knowledge of prompt engineering and open-source LLM frameworks.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your expected CTC?</li><li>What is your current CTC?</li><li>How many years of experience do you hold?</li></ul>Experience:<ul><li>Python: 2 years (Required)</li><li>Agentic AI: 2 years (Required)</li><li>Genetic AI: 2 years (Required)</li><li>Analytics: 2 years (Preferred)</li></ul>Work Location: In person

Programming.com

Job Title: Machine Learning EngineerExperience: 5+ Years Location: Bangalore, Pune, Mumbai, Hyderabad, Mohali Shift: Late Evening Shift (Starts from 6:30 pm IST) Employment Type: Full-TimeJob Description:We are seeking a highly skilled Machine Learning Engineer with 5+ years of experience to join our team. The ideal candidate will have expertise in machine learning model training, MLOps, deep learning, model deployment, and implementation. You will be responsible for building scalable ML solutions, deploying them into production, and ensuring operational excellence in a late evening shift role.Key Responsibilities:<ul><li>Design, develop, and train machine learning and deep learning models for real-world applications.</li><li>Implement MLOps practices for continuous integration, deployment, monitoring, and scaling of ML models.</li><li>Deploy and maintain ML models in production environments across cloud/on-prem platforms.</li><li>Collaborate with data scientists, data engineers, and product teams to understand requirements and translate them into scalable ML solutions.</li><li>Optimize models for performance, scalability, and efficiency.</li><li>Monitor deployed models for drift, accuracy, and reliability; retrain as needed.</li><li>Document ML workflows, pipelines, and processes for future reference.</li></ul>Required Skills:<ul><li>5+ years of professional experience as an ML Engineer or related role.</li><li>Strong expertise in machine learning model training, tuning, and evaluation.</li><li>Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, Keras).</li><li>Proficiency in MLOps tools and practices (Kubeflow, MLflow, Airflow, CI/CD).</li><li>Experience with model deployment on cloud platforms (AWS, GCP, Azure) or containerized environments (Docker, Kubernetes).</li><li>Strong programming skills in Python and knowledge of ML libraries (scikit-learn, NumPy, Pandas).</li><li>Good understanding of data pipelines and version control systems (Git).</li></ul>Job Type: Full-timePay: Up to &#8377;2,000,000.00 per yearBenefits:<ul><li>Health insurance</li></ul>Work Location: In person

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