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Ai Ml Engineer

Ai Ml Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Infosys

5 - 10 years

Pune Bengaluru Delhi

Posted:16 hours ago

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Job Description

Job Summary

We are seeking an innovative and results-driven AI/ML Engineer to design, develop, deploy, and maintain machine learning and artificial intelligence solutions. The ideal candidate will have experience in data science, machine learning algorithms, deep learning, MLOps, and cloud-based AI platforms to build scalable and intelligent applications.

Key Responsibilities

Design, develop, and optimize machine learning models for business applications.
Build and deploy AI/ML solutions in production environments.
Develop predictive, classification, recommendation, and generative AI models.
Work with structured and unstructured datasets for data preparation and feature engineering.
Implement NLP, Computer Vision, and Generative AI use cases.
Fine-tune and evaluate Large Language Models (LLMs).
Develop RAG (Retrieval-Augmented Generation) solutions and AI agents.
Collaborate with stakeholders to understand business requirements and translate them into AI-driven solutions.
Monitor model performance and implement continuous improvements.
Establish MLOps pipelines for model deployment, monitoring, and governance.
Ensure compliance with Responsible AI and data privacy standards.

Required Skills

Technical Skills

Strong proficiency in Python.
Experience with Machine Learning and Deep Learning frameworks:

TensorFlow
PyTorch
Scikit-learn
Keras

Knowledge of NLP, Computer Vision, and Generative AI.
Experience with LLMs, Prompt Engineering, Fine-Tuning, and RAG.
Familiarity with Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate).
Experience with APIs and model integration.
Hands-on experience with SQL and data processing tools.

Cloud & MLOps

Azure AI / Azure Machine Learning
Azure OpenAI
AWS SageMaker or Google Vertex AI
Docker and Kubernetes
MLflow, Kubeflow, CI/CD pipelines

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
3 to 8 years of experience in AI/ML development (adjust as needed).
Experience delivering end-to-end machine learning solutions in production.
Strong understanding of statistics, probability, and data modeling.

Preferred Skills

Experience with Agentic AI and Multi-Agent Systems.
Knowledge of LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
Experience with enterprise AI solutions and chatbot development.
Understanding of Responsible AI, Explainable AI (XAI), and AI Governance.

Skills Required

Artificial Intelligence Data Science Tensorflow Langchain Large Language Model Hypothesis Testing ETL Machine Learning

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Work Mode

Hybrid

Job Type

Full Time

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Ai Ml Engineer