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TCS invites Technology professionals for a Walk-in Interview Drive in Chennai - Magnum 18th July 26 (Saturday)
It is time for you to make #thebigmove to Tata Consultancy Services.
Role: Gen AI, AI ML, Python
Interview Date: 18th July 26 (Saturday)
Experience: 3 - 8 years
Mode of Interview: F2F/ Walk-in
Location: Chennai - Magnum
Mode of Hire: Fulltime/Permanent/FTE
NOTE : Only candidates who can attend the Walk-in on 18th July 26(Saturday) are eligible to apply. Please apply only if you are available on that day.
JOB DESCRIPTION:
We are seeking a highly skilled Generative AI, AI/ML, and Python Developer to design, develop, and deploy intelligent AI-powered applications. The ideal candidate will have hands-on experience in Python development, Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI technologies, and cloud-based AI solutions.
Key Responsibilities
Required Technical Skills
Programming: Python (Advanced), SQL, Git/GitHub/Azure DevOps
AI/ML: Machine Learning, Deep Learning, NLP, Model Training & Optimization
Generative AI: LLMs, Prompt Engineering, RAG, LangChain, LlamaIndex, AI Agents, Vector Databases
Frameworks: FastAPI, Flask, Django (Preferred)
Cloud: Azure AI Services, Azure OpenAI, AWS AI/ML, Google Cloud AI
MLOps: Docker, Kubernetes, CI/CD, MLflow, Monitoring
Interested candidates can share their resumes to [Confidential Information]
Job ID: 151196819
Skills:
Google Cloud Platform Architecture, containerization and orchestration technologies, AI model deployment and lifecycle management on cloud platforms, data processing and integration techniques relevant to AI solutions
Skills:
model development , Machine Learning, Tensorflow, Data Science, Pytorch, Docker, Azure, Python, Kubernetes, LangChain, Generative AI, Model Evaluation, MLflow, Statistics, MLOps Fundamentals, Vector Databases, RAG Architecture, Vertex AI, OpenAI, Responsible AI, Prompt Engineering
Skills:
Apache Airflow, Github, Terraform, Python, AWS, Ray, MLflow, Kubernetes EKS
Skills:
Rust, Scipy, Tensorflow, Numpy, Pandas, Pytorch, Neo4j, Opencv, Python, Langchain, scikit-learn, Vector DBs, ArangoDB, Kubeflow, MLFlow, LlamaIndex
Skills:
AI ML, Sql, Testing Frameworks, Pandas, Microsoft Azure, FastAPI, Asynchronous programming, Python, Pytest, vector search, embeddings, Dremio, Scikit-learn, anomaly detection, RAG, Streamlit, time-series analysis, agent orchestration