Description

Design| develop| and implement machine learning and AI models for business applications.

Build and optimize deep learning| NLP| or computer vision models depending on project requirements.

Deploy models into production using APIs| microservices| or cloud platforms.

Work with large datasets to clean| preprocess| and engineer features.

Monitor and maintain model performance| retraining when necessary.

Collaborate with cross-functional teams including product managers and data engineers.

Research and apply the latest developments in AI and machine learning.

Ensure scalability| security| and reliability of AI solutions.

Required Skills-

Technical Skills-Strong programming skills in Python (preferred) or Java C Experience with machine learning frameworks such as Tensor Flow Torch Scikit-learn Knowledge of deep learning| NLP| computer vision| or generative AI Role Descriptions:

Key Responsibilities:

• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.

• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.

• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.

• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.

• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.

• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.

Required Technical Skills:

• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.

• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.

• Databases: ElasticSearch, NoSQL, and Neo4j.

• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.

• Backend: Proven experience with FastAPI or Flask for production APIs.

• Web: Familiarity with React and Node.js for full-stack AI integration.

Qualifications:

• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.

• Proven track record of deploying LLM-based applications to production.

• Strong understanding of vector embeddings, semantic search, and RAG architectures.

• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps)

Key Skills

Education

Any Gradute