AI / ML Specialist in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
AI Engineer We are seeking a Senior Applied AI & Data Science Engineer to design, build, and deploy AI-powered solutions that transform how our organization works with data. This role will focus on developing AI agents, automating business workflows, enabling natural language access to enterprise data, and applying machine learning and advanced analytics to solve complex business problems. The ideal candidate combines strong data science and machine learning expertise with practical software engineering skills and hands-on experience building AI applications in production environments. Design, develop, and deploy AI agents and AI-powered applications for internal business stakeholders. Develop machine learning models for prediction, classification, anomaly detection, forecasting, and optimization use cases. Create natural language interfaces for enterprise data and analytics platforms. Integrate AI applications with enterprise systems through APIs and cloud-native services. Build scalable data pipelines and analytics solutions using large datasets. Partner with business stakeholders to identify and deliver high-impact AI and data science opportunities.
Effectively able to manage competing priorities and handle multiple projects independently. Ability to present technical information to a non-technical audience.
QUALIFICATIONS & EXPERIENCE
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
3-5 years of experience in Data Science, Machine Learning, Analytics Engineering, or Software Engineering.
Strong programming skills in Python and advanced SQL.
Expert knowledge of multiple machine learning algorithms/techniques such as clustering, neural network, random forest, time series analysis, and XGBoost.
Experience building applications using modern LLMs and Generative AI technologies.
Proficiency with AWS, Azure, or Snowflake cloud computing platforms.
Capability with Tableau, Power BI, or other business intelligence tools.
Strong understanding of statistics, machine learning, and data modeling.
Bachlors in computer science, Engineering, or Information Systems
Proficiency with Amazon Bedrock, Anthropic Claude, Azure OpenAI, OpenAI, or similar AI platforms. Knowledge of AI frameworks such as Agentic AI, CrewAI, LangChain, LangGraph, MCP, RAG, and vector databases. Familiarity with MLOps responsibilities: model deployment, monitoring, and governance practices. Experience in airline / aviation, internet, or telecommunications We are an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law.
... query optimization and data access strategies for APIs serving real-time compliance dashboards, establishing benchmarks and SLOs Lead data infrastructure work for AI/ML features, including dataset curation, feature engineering, and pipeline design supporting cloud-native AI capabilities Define and enforce data quality standards, ...
... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...
About Costco Wholesale: Costco Wholesale is a multi-billion-dollar global retailer with warehouse club operations in eleven countries. They provide a wide selection of quality merchandise, plus the convenience of specialty departments and exclusive member services, all designed to make shopping a pleasurable experience ...
... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...
https://jobeax.com/link/rvXD6H180rVdQqYg is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. https://jobeax.com/link/rvXD6H180rVdQqYg has been built ground up with new age technology to simplify the consumption of data for our customers in various industry ...
... messaging tools like Kafka Bachelor's degree in Computer Science, Information Technology, MTech Certifications in Python or Cloud technologies. Experience in AI/ML projects or automation tools. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. We wholeheartedly ...
... architecture design principles - Must have experience on AI/ML implementation such as: Langchain, Langgraph and ML models such as Gradient Boost, Random Forest etc. - AI & LLM Frameworks: Experience with foundational models and APIs (e.g. OpenAI, Claude, LangChain, Spring AI, etc.) - Experience of MCP server implementation - Demonstrated ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
... NumPy, Scikit-learn, ML/DL frameworks) SQL (advanced queries, optimization) PySpark (distributed data processing) Experience in building, deploying, and evaluating ML models Strong problem-solving skills with the ability to work in a hybrid setup Responsibilities Develop and optimize ML/GenAI models for business use cases Work ...
... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client
About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...
... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...
... AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. We've raised ...
... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
... business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, ...
... We're Looking For:Must Have:- 5+ years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, ...
... position's job designation depending on business needs and as permitted by local law. 6+ years of product management experience, including meaningful work on AI/ML products, automation systems, developer tools, platforms, or other technically sophisticated products. - Hands-on builder mindset, with the ability to use model ...