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Senior AIML Engineer

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Onsite

Senior AIML Engineer

Futran Tech Solutions

Senior AIML Engineer

Skills

Google Cloud PlatformSQL QueriesDockerNodePythonMicroservicesPyTorchTensorFlowMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

11 September 2026

What they need


Job Title - AI/ML Engineer

Location - Pune, Baner

Work Mode - 5 days wfo

Shift - UK Shift - 1pm to 10pm

Job Description:

Core Experience Required

  • Strong experience with RAG-based systems or Graph-based architectures

  • Minimum 5 years of AI/ML experience

  • Experience with MCP

  • Prior work on end-to-end AI system development AI System Development

  • Design and build production AI/ML systems, including agentic workflows, multi model pipelines, and intelligent automation

  • Develop and optimize LLM-based applications using prompt engineering, RAG, and fine-tuning techniques

  • Build AI agent frameworks that orchestrate complex reasoning, tool usage, and multi-step workflows ML Engineering & MLOps

  • Train, evaluate, and deploy ML models across classification, NLP, recommendation, and generative use cases

  • Implement MLOps pipelines for model versioning, monitoring, A/B testing, and continuous improvement

  • Optimize model performance, latency, and cost in production environments Data & Infrastructure

  • Design vector databases, embedding systems, and semantic search architectures

  • Build scalable data pipelines for training, inference, and continuous learning

  • Create evaluation frameworks to measure AI system quality, safety, and performance Technical & Engineering Skills

  • Strong programming skills in Python and ML frameworks such as PyTorch, TensorFlow, or JAX

  • Hands-on experience with LLMs (GPT, Claude, Llama, etc.) and a clear understanding of their capabilities and limitations

  • Proficiency with frameworks/tools such as LangChain, LlamaIndex, DSPy, Hugging Face, OpenAI API, Anthropic API

  • Strong fundamentals in data structures, algorithms, and system design

  • Experience building APIs, microservices, and distributed systems (FastAPI, Node.js, etc.)

  • Cloud experience on AWS, GCP, or Azure, along with Docker and Kubernetes

  • Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, Qdrant, and SQL/NoSQL databases

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