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We're Hiring

Machine Learning Engineer (4+ yrs)

Gift City, Gandhinagar
4–5 Years Experience
Work from Office
Full Time

We are seeking an experienced Machine Learning Engineer to join our team and drive the development of production-grade AI systems. This role requires deep expertise in Retrieval-Augmented Generation (RAG), natural language to SQL conversion, and large language model fine-tuning. You will be responsible for building, deploying, and maintaining sophisticated ML systems that power our products.

Key Responsibilities

  • Design and implement production-ready RAG pipelines for knowledge-intensive applications
  • Build and optimize text-to-SQL engines that translate natural language queries into executable SQL code
  • Develop, train, and fine-tune smaller language models for specific domain applications
  • Fine-tune large language models (LLMs) using various techniques including supervised fine-tuning, RLHF, and parameter-efficient methods
  • Deploy and maintain ML models in production environments with monitoring, versioning, and continuous improvement
  • Optimize model performance, latency, and cost for real-world applications
  • Collaborate with cross-functional teams to integrate ML capabilities into products
  • Establish best practices for ML ops, model evaluation, and deployment pipelines
  • Stay current with latest developments in LLMs, RAG architectures, and ML tooling

Required Qualifications

Experience

  • 4–5 years of hands-on experience in machine learning engineering
  • Proven track record of building and deploying ML systems in production environments
  • Experience with the full ML lifecycle from data preparation to production deployment

Technical Skills

RAG & Information Retrieval

  • Deep understanding of RAG architecture and implementation
  • Experience with vector databases (Pinecone, Weaviate, Chroma, FAISS, etc.)
  • Knowledge of embedding models and semantic search techniques
  • Experience with chunking strategies, retrieval optimization, and context management

Text-to-SQL Systems

  • Strong experience building natural language to SQL conversion systems
  • Understanding of database schemas, query optimization, and SQL dialects
  • Experience with few-shot prompting and query validation techniques

LLM Development & Fine-tuning

  • Hands-on experience fine-tuning LLMs (GPT, Llama, Mistral, etc.)
  • Knowledge of fine-tuning techniques: full fine-tuning, LoRA, QLoRA, prefix tuning
  • Experience training smaller language models from scratch or adapting existing ones
  • Understanding of model quantization, distillation, and compression techniques

Production ML Systems

  • Strong software engineering skills with production-level code quality
  • Experience with ML ops tools and practices (MLflow, Weights & Biases, etc.)
  • Knowledge of containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure)
  • Experience with API development and deployment (FastAPI, Flask, etc.)
  • Understanding of monitoring, logging, and debugging production ML systems

Programming & Tools

  • Expert-level Python programming
  • Proficiency with PyTorch or TensorFlow
  • Experience with Hugging Face Transformers, LangChain, or LlamaIndex
  • Familiarity with SQL and database technologies
  • Version control with Git and collaborative development workflows

Additional Requirements

  • Strong problem-solving and analytical skills
  • Excellent communication skills and ability to explain complex technical concepts
  • Experience working in agile development environments
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or related field (or equivalent practical experience)

Preferred Qualifications

  • Experience with prompt engineering and advanced prompting techniques
  • Knowledge of reinforcement learning from human feedback (RLHF)
  • Familiarity with evaluation frameworks for LLM applications
  • Experience with data annotation and synthetic data generation
  • Publications or contributions to open-source ML projects
  • Experience with A/B testing and experimentation in production
  • Understanding of model safety, bias mitigation, and responsible AI practices

Job Details

Location

Gift City, Gandhinagar

Experience

4–5 Years

Work Mode

Work from Office

Role Type

Full Time

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