AI ML Engineer
Infosys
Key Responsibilities
- Develop, train, test, and deploy Machine Learning and Deep Learning models.
- Build AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
- Perform data collection, cleansing, feature engineering, and model optimization.
- Evaluate model performance using appropriate metrics and improve accuracy.
- Work with structured and unstructured datasets for business problem-solving.
- Develop APIs and integrate ML models into production applications.
- Collaborate with data scientists, software developers, and business stakeholders.
- Monitor model performance and maintain deployed AI solutions.
- Document model architecture, experiments, and deployment processes.
Requirements & Tech Stack
- Python programming
- Machine Learning Algorithms (Regression, Classification, Clustering)
- Deep Learning frameworks: TensorFlow, PyTorch, Keras
- Data Analysis using Pandas, NumPy
- SQL and Database Management
- Data Visualization using Matplotlib, Seaborn, Power BI (optional)
- REST APIs and Model Deployment
- Version Control using Git
- Natural Language Processing (NLP)
- Computer Vision
- Generative AI / Large Language Models (LLMs)
- Prompt Engineering
- LangChain or similar AI orchestration frameworks
- Vector Databases (FAISS, Pinecone, ChromaDB)

