AI/ML Lead Developer

Techridge, Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Software Quality
Computer Programming
Continuous Integration
Data Cleansing
Software Debugging
Graph Database
Python
Knowledge Management
Neo4j
Performance Tuning
TensorFlow
PyTorch
Flask
Prompt Engineering
FastAPI
Containerization
Scikit Learn
Kubernetes
Machine Learning Operations
REST
Docker

Requirements

8-10 years overall (minimum 5 years in AI/ML and GenAI)

Required Skills

Strong proficiency in Python (FastAPI, Flask, async programming, RESTful APIs).

Proven experience in AI/ML pipelines, data preprocessing, model training, fine-tuning, and deployment (TensorFlow, PyTorch, Scikit-learn).

Must have hands-on with GenAI frameworks (LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc.).

Hands-on experience implementing the RAG pipelines

Knowledge Management with vector databases, embeddings, Graphs.

Working knowledge of prompt engineering, optimisation and fine-tuning.

Familiarity with Graph databases (Neo4j) or agent-based architectures.

Architect and code in Python for scalable, reusable, and high-performing systems.

Strong grounding in software quality engineering concepts and automation frameworks.

Solid understanding of CI/CD, containerization (Docker/Kubernetes), and cloud(AWS) deployment.

Excellent debugging, performance optimization, and solutioning skills.

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