Senior AI/ML Engineer

About the Role

We are looking for a Senior AI/ML Engineer to architect and deploy production-grade AI/ML and Generative AI systems across domains such as NLP, Computer Vision, and deep learning.

This role requires solid expertise in the end-to-end ML lifecycle, LLM/RAG pipelines, scalable backend systems, and MLOps/LLMOps.

You will build scalable, reliable, and cost-productive AI platforms used in real-world applications.

Key Responsibilities
Design and implement end-to-end ML pipelines
(data ingestion → preprocessing → training → deployment → monitoring)
Build LLM-powered applications using RAG and agentic workflows
Develop scalable ML/LLM microservices (FastAPI or similar)
Implement MLOps/LLMOps best practices
Optimize latency, throughput, and cost of AI systems
Work with vector databases for semantic search and retrieval
Design batch and real-time inference systems
Collaborate with data engineering for robust data pipelines
Lead AI system architecture decisions
Mentor junior engineers and enforce production-quality standards

Tech Stack Programming & Core
Python (production-grade)
JavaScript, React JS(Bonus)
Strong SQL

AI/ML & Deep Learning
PyTorch / TensorFlow
Scikit-learn
Hugging Face ecosystem
Model evaluation & optimization tools




Applied Mathametics for Machine Learning

Generative AI / LLM
Gen AI Orchestration frameworks (LangChain , Langgraph , LlamaIndex , CrewAI Autogen or equivalent)
Embeddings pipelines
LLM evaluation frameworks
Prompt orchestration systems
Agentic workflow frameworks (preferred)
Vector Databases

MLOps / LLMOps
MLflow , Langsmith etc.
Model registry & versioning
CI/CD for ML (GitHub Actions, GitLab CI, etc.)
Data validation (Outstanding Expectations or similar)
Model monitoring & observability
Opentelemetry, Grafana

Backend & Systems
FastAPI / Flask / Django
Async Python
Microservices architecture
REST/gRPC APIs
Docker
Kubernetes
Message queues (Kafka / RabbitMQ – bonus)

Cloud & Infrastructure (at least one)
AWS (SageMaker, ECR, ECS/EKS, Lambda, S3)
GCP (Vertex AI, GKE, Cloud Run, BigQuery)
Azure ML (preferred)
GPU-based deployment and optimization

Pay: Up to ₹840,000.00 per year

Benefits
Leave encashment
Provident Fund

Ability to commute/relocate:
Ahmedabad, Gujarat (Ahmedabad): Reliably commute or planning to relocate before starting work (Preferred)

Experience:
AIML: 1 year (Preferred)

Work Location: In person

📌 Ai/ml Engineer Ahmedabad
🏢 ManekTech
📍 Ahmedabad