AI/ML- @Infosys

Infosys; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,400,000 - 2,200,000; Full time

Job summary

Infosys is seeking an AI Engineer in Hyderabad with 5-9 years of experience to design, build, and deploy ML/AI models and end-to-end pipelines.

You will implement supervised, unsupervised, and reinforcement learning, focusing on NLP, Computer Vision, and Generative AI, while training, fine-tuning, and evaluating deep learning models with large datasets. Production ML deployment using MLOps is expected.

Qualifications

• 5-9 years of experience in AI/ML roles.
• Strong Python programming skills.
• Experience building end-to-end ML pipelines.
• Expertise in NLP, CV, and Generative AI.
• Hands-on with ML frameworks and vector databases.
• Familiarity with REST APIs and ML deployment.

Responsibilities

• Design, build, and deploy ML/AI models.
• Develop end-to-end ML pipelines for data prep, training, validation, and deployment.
• Implement supervised, unsupervised, and reinforcement learning.
• Develop NLP, computer vision, and Generative AI solutions.
• Train, fine-tune, and evaluate deep learning models with large data.
• Deploy models using MLOps best practices.
• Monitor performance and retrain as needed.
• Collaborate with cross-functional teams to identify AI opportunities.
• Develop APIs and scalable AI applications for production.
• Ensure data quality, security, and governance.

Skills

Python

ML Algorithms

Deep Learning

NLP

Computer Vision

Generative AI

LLMs

REST APIs

Microservices

Git

CI/CD

Tools

TensorFlow

PyTorch

Scikit-learn

Keras

Pandas

NumPy

PySpark

Pinecone

FAISS

ChromaDB

OpenAI

Azure OpenAI

Gemini

Claude

Hugging Face

Job description

Position: AI Engineer
Experience: 5-9 Years
Employment Type: Full-Time

• Design, build, and deploy Machine Learning (ML) and Artificial Intelligence (AI) models.
• Develop end-to-end ML pipelines for data ingestion, preprocessing, training, validation, and deployment.
• Implement supervised, unsupervised, and reinforcement learning algorithms.
• Build and optimize NLP, Computer Vision, and Generative AI solutions.
• Train, fine-tune, and evaluate deep learning models using large datasets.
• Deploy ML models using MLOps best practices.
• Monitor model performance and retrain models as needed.
• Collaborate with cross-functional teams to identify AI opportunities and deliver business solutions.
• Develop APIs and scalable AI applications for production environments.
• Ensure data quality, security, and governance standards are maintained.

Required Skills

• Strong programming experience in Python.
• Hands-on experience with:
• Machine Learning Algorithms
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Generative AI / LLMs
• Experience with ML frameworks:
• TensorFlow
• PyTorch
• Scikit-learn
• Keras
• Knowledge of data processing tools:
• Pandas
• NumPy
• PySpark
• Experience with Vector Databases:
• Pinecone
• FAISS
• ChromaDB
• Hands-on experience with LLMs:
• OpenAI
• Azure OpenAI
• Gemini
• Claude
• Hugging Face
• Experience in prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques.
• Knowledge of REST APIs and microservices architecture.
• Experience with Git, CI/CD, and software development best practices.