Pithampur Madhya Pradesh Python developer Jobs – 121 Open Jobs Today

Senior AI/ML Engineer
Chapter247 Infotech —Indore, Madhya Pradesh
- ₹3,97,593.34 - ₹16,36,190.68 a year
- Full-time
- Azure
- Databases
- AWS
- Health insurance
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Senior AI/ML Engineer
Chapter247 Infotech —Indore, Madhya Pradesh
The ideal candidate should be capable of understanding business problems, interacting with clients and stakeholders, translating requirements into scalable…
₹3,97,593.34 - ₹16,36,190.68 a year
Quick apply
3d
Senior ML Engineer
PinnacleU —Indore, Madhya Pradesh
Own outcomes like a builder, you don’t watch the clock, you watch the impact: driven to do bold, innovative work that students have never experienced before.
₹35,00,000 - ₹40,00,000 a year
Quick apply

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Senior AI/ML Engineer

Chapter247 Infotech -
Indore, Madhya Pradesh

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Job details

Full-time
₹3,97,593.34 - ₹16,36,190.68 a year
3 days ago

Benefits

Leave encashment
Health insurance

Qualifications

TensorFlow
CI/CD
Azure
CSS
React
Software deployment
Git
MongoDB
Databases
AWS
Docker
Machine learning
JavaScript
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
RabbitMQ
REST
Natural language processing
Django
APIs
Kafka
Flask
AI
gRPC
Python
HTML
MySQL
SDLC

Full job description

Senior AI/ML Engineer
We are looking for a Senior AI/ML Engineer who can take ownership beyond implementation and contribute across the complete software development lifecycle. The ideal candidate should be capable of understanding business problems, interacting with clients and stakeholders, translating requirements into scalable technical solutions, and driving them through design, development, deployment, and continuous improvement. In addition to strong AI and backend engineering expertise, we are looking for someone who can contribute to architectural decisions, guide team members, establish engineering best practices, and help us scale a high-performing AI engineering team.Skills:

Strong hands-on experience in Python and backend frameworks such as FastAPI, Django REST, Flask RESTful, along with Pydantic, SQLAlchemy, async programming, scalable REST API design, authentication, and backend architecture patterns
Practical experience building AI-powered applications using Generative AI, Agentic AI, LLMs, Prompt Engineering, RAG, OCR, AI agents, tool calling, memory/context management, multi-step reasoning, and autonomous workflows
Good understanding of AI safety and security practices including prompt injection prevention, guardrails, response validation, content filtering, hallucination mitigation, secure tool execution, AI observability, and prompt/version management
Experience with NLP, embeddings, semantic search, model training, deep learning frameworks such as TensorFlow, PyTorch, Hugging Face, and vector databases like Pinecone, Weaviate, Qdrant, ChromaDB, or FAISS
Experience with workflow orchestration and distributed systems using tools such as Temporal, LangGraph, Kafka, RabbitMQ, SQS, and communication protocols like gRPC
Hands-on experience with databases including MongoDB, PostgreSQL/MySQL, Firebase, Redis, and scalable data architecture
Experience integrating third-party APIs, cloud services (AWS/GCP/Azure), payment/email/SMS providers, and external AI services
Proficient with Git, CI/CD, Docker, Terraform, testing frameworks like Pytest, and containerized deployment practices
Strong understanding of secure coding practices, OWASP/API security standards, and performance optimization for scalable AI systems
Experience using AI-assisted development tools such as Cursor, Copilot, ChatGPT, Claude, or similar tools
Good to have experience with frontend technologies such as JavaScript, HTML5, CSS, and React

Roles & Responsibilities:

Analyse business requirements and design scalable backend systems, AI workflows, architectures, and implementation approaches
Develop, maintain, and optimize AI-powered applications using LLMs, RAG pipelines, OCR systems, and Agentic AI frameworks
Research, evaluate, benchmark, and implement suitable AI/ML models, embeddings, prompts, retrieval strategies, and frameworks based on business requirements.
Conduct experiments, benchmarking, and PoC implementations for new AI capabilities and technologies
Implement secure, reliable, and production-ready AI systems with proper guardrails, validation mechanisms, observability, and performance optimization
Troubleshoot complex technical issues, identify root causes, and provide scalable long-term solutions
Contribute to architecture decisions, task estimation, technical discussions, coding standards, testing, and development best practices
Integrate third-party APIs, cloud platforms, and external AI providers into the product ecosystem
Communicate technical solutions and project updates effectively with technical and non-technical stakeholders
Use AI-assisted engineering tools to improve development productivity and engineering workflows.
Mentor junior developers by providing technical guidance, design recommendations, and implementation support.

Pay: ₹397,593.34 - ₹1,636,190.68 per year

Benefits:

Health insurance
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Work Location: In person

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