Senior Python AI/ML Engineer
Inheritx —Ahmedabad, Gujarat
- Full-time
- Azure
- English
- Databases
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Senior Python AI/ML Engineer
Inheritx —Ahmedabad, Gujarat
The ideal candidate should have strong expertise in Python, modern AI frameworks, LLMs, data pipelines, and cloud-based deployments, along with excellent…
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Senior Python AI/ML Engineer

Inheritx
Ahmedabad, Gujarat

Quick apply

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
PyTorch
Computer vision
Software deployment
NumPy
NoSQL
English
Databases
Microservices
SQL
Pandas
AWS
Analysis skills
Docker
Machine learning
Continuous integration
REST
Natural language processing
Django
APIs
Flask
AI
Communication skills
Graph databases
Python

Full job description

Experience

5–6 Years

Job Type

Full-Time

Overview

We are looking for a highly skilled and communication-driven Python AI/ML Engineer with 5–6 years of hands-on experience in designing, developing, and deploying scalable AI/ML solutions. The ideal candidate should have strong expertise in Python, modern AI frameworks, LLMs, data pipelines, and cloud-based deployments, along with excellent communication and client interaction skills.

The candidate will work closely with cross-functional teams, clients, and stakeholders to build intelligent systems, optimize AI workflows, and contribute to architecture and technical decision-making.

Key Responsibilities

Design, develop, and maintain scalable AI/ML systems using Python
Build and deploy Machine Learning and Deep Learning models for real-world applications
Work on LLM-based systems, RAG pipelines, AI agents, and conversational AI solutions
Develop APIs and backend services for AI-powered applications
Handle data preprocessing, feature engineering, training, evaluation, and optimization
Integrate AI/ML models with web/mobile/backend systems
Work with vector databases, embeddings, and semantic search systems
Optimize inference performance, latency, and cost efficiency
Participate in technical architecture discussions and solution planning
Collaborate with product managers, designers, frontend/backend teams, and clients
Review code, mentor junior developers, and maintain development standards
Prepare technical documentation, reports, and client-facing explanations
Stay updated with the latest advancements in AI, LLMs, and automation technologies

Required Skills

Core Technical Skills

Strong expertise in Python
Excellent understanding of AI/ML fundamentals
Hands-on experience with:
- PyTorch / TensorFlow
- Scikit-learn
- Pandas / NumPy
- FastAPI / Flask / Django
Experience with:
- LLMs (OpenAI, Claude, Gemini, Llama, etc.)
- LangChain / LangGraph / CrewAI / AutoGen
- RAG architecture
- Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
- Prompt Engineering
- AI Agents & Automation workflows
Knowledge of:
- NLP
- Computer Vision
- Embeddings & Semantic Search
- Fine-tuning and model optimization
Experience with REST APIs and microservices architecture
Strong understanding of SQL/NoSQL databases
Familiarity with Docker, CI/CD, and cloud platforms (AWS/GCP/Azure)
Experience in model deployment and production monitoring

Communication & Soft Skills

Excellent English communication skills (written and verbal)
Strong client handling and presentation abilities
Ability to explain technical concepts to non-technical stakeholders
Strong analytical and problem-solving mindset
Good leadership and mentoring capabilities
Ability to work independently and collaboratively in a fast-paced environment

Preferred Qualifications

Experience working on production-scale AI systems
Experience with synthetic data generation and AI evaluation systems
Knowledge of MLOps workflows
Exposure to real-time systems, WebSockets, or streaming pipelines
Experience integrating OpenAI or other AI APIs into production applications
Prior experience leading AI/ML teams or projects is a plus

Nice to Have

Experience with:
- YOLO / Object Detection
- OCR systems
- Speech-to-Text / Text-to-Speech
- Multi-modal AI systems
- Knowledge Graphs
- Autonomous AI agents
Open-source contributions or research publications

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