14 Aug
|
Tata Consultancy Services
|
Bengaluru
14 Aug
Tata Consultancy Services
Bengaluru
Role & responsibilities
Experience: 5-12 Years
Location: Bangalore
Employment Type: Full-Time
Preferred candidate profile
We are looking for a talented AI/ML Engineer with strong expertise in Python, Machine Learning, Generative AI, and Artificial Intelligence solutions. The ideal candidate will be responsible for designing, developing, and deploying AI/ML models, building intelligent applications, and integrating AI solutions into business processes to drive innovation and automation.
Key Responsibilities
Design, develop, and deploy Machine Learning and AI solutions.
Build and optimize predictive models using structured and unstructured data.
Develop AI applications using Python and contemporary AI/ML frameworks.
Implement data preprocessing, feature engineering, model training, and model evaluation.
Develop and integrate Generative AI and LLM-based solutions.
Build Retrieval-Augmented Generation (RAG) applications and AI assistants.
Collaborate with Data Engineers, Product Teams, and Business Stakeholders to identify AI use cases.
Deploy models into production environments and monitor model performance.
Perform model tuning and optimization to improve accuracy and efficiency.
Ensure AI models meet security, governance, and compliance standards.
Required Skills
Strong programming skills in Python.
Experience with Machine Learning, Deep Learning,
and AI concepts.
Hands-on experience with:
Scikit-learn
TensorFlow
PyTorch
Keras
Strong understanding of
Supervised Learning
Unsupervised Learning
Classification
Regression
Clustering
Experience with data manipulation libraries:
Pandas
NumPy
Matplotlib
Strong SQL skills for data analysis and model development.
Experience with REST API integration and model deployment.
Preferred Skills
Generative AI
Large Language Models (LLMs)
OpenAI / Azure OpenAI
LangChain
LangGraph
CrewAI
RAG Frameworks
Prompt Engineering
Vector Databases (Pinecone, ChromaDB, FAISS)
MLOps / LLMOps
MLflow
Docker
Kubernetes
Cloud Platforms
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Education
Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Nice to Have
Experience with Computer Vision, NLP, or Recommendation Systems.
Experience building AI copilots and intelligent automation solutions.
Knowledge of Responsible AI and AI Governance frameworks.
Experience with Databricks or Microsoft Fabric.
Key Competencies
Artificial Intelligence
Machine Learning
Generative AI
Problem Solving
Analytical Thinking
Innovation Mindset
Model Optimization
Stakeholder Collaboration
📌 AI/ML Engineer (Python) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru