Educational Requirements
Bachelor of Engineering
BCS
BBA
BCom
MCA
MSc

Service Line
Data Analytics Unit

Responsibilities
Machine Learning NLP Development
Design, develop, and deploy Machine Learning and NLP solutions for business-critical applications.
Build and optimize text classification, information extraction, sentiment analysis, entity recognition, summarization, and conversational AI systems.
Develop and fine-tune Transformer-based models and LLM-powered applications.
Evaluate model performance and implement improvements for accuracy, scalability, and efficiency.
Generative AI LLM Applications
Develop GenAI applications using Large Language Models (LLMs).
Design and implement Retrieval-Augmented Generation (RAG) pipelines.
Build AI copilots, chatbots, virtual assistants, and intelligent search solutions.
Apply prompt engineering techniques to optimize model outputs.
Develop agentic AI workflows using up-to-date AI orchestration frameworks.

Additional Responsibilities
Research Innovation
Stay updated with advancements in NLP, Generative AI, LLMs, and Machine Learning.
Evaluate emerging AI technologies and recommend adoption where appropriate.




Conduct experiments and proof-of-concepts (POCs) to solve complex business problems.
Leadership Mentoring
Mentor junior ML engineers and data scientists.
Conduct code reviews, model reviews, and design reviews.
Promote best practices in machine learning engineering and AI development.
Collaborate with business stakeholders, product teams, and engineering leaders.

Technical and Skilled Requirements
Data Preparation
Process and analyze large-scale structured and unstructured datasets.
Feature Engineering
Perform text preprocessing, tokenization, feature extraction, and embedding generation.
Model Deployment MLOps
Deploy, monitor, and maintain ML models in production settings.
MLflow
Implement model versioning, tracking, and serving using MLflow.
Develop CI/CD pipelines for machine learning workflows.
Monitor model drift, performance metrics, and system reliability.

Preferred Skills
AI-Traditional AI: Microsoft LUIS, NLP
AI-Data science: Machine Learning
AI-Generative AI: Generative AI - Basic

📌 Senior Machine Learning Engineer Hyderabad
🏢 Infosys
📍 Hyderabad