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1 Day ago

Senior Python - AIML Developer

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700000 - 700000 INR - Yearly
Bangalore, KA, India
Information Technology
Full-Time
InheritX Solutions Pvt Ltd

Overview

Python AI/ML Engineer (5–6 Years Experience)

Job Title: Senior Python AI/ML Engineer

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 SkillsCore 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

Job Type: Full-time

Pay: From ₹700,000.00 per year

Ability to commute/relocate:

  • Bodakdev, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)

Education:

  • Bachelor's (Required)

Location:

  • Bodakdev, Ahmedabad, Gujarat (Required)

Work Location: In person

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