Senior Machine Learning

4 days ago

Hyderabad Jubilee Ho Hyderabad Telangana, India INNOBAYT INNOVATIVE SOLUTIONS Full time

Location: On-site

Job Type: Full-Time

Experience: 8+ years

About the Role

We are looking for a Senior Machine Learning & Python Engineer with extensive experience in building and optimizing Machine Learning models, particularly in Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). The ideal candidate should have a strong background in Python frameworks, vector databases (PineconeDB), and seamless integration with OpenAI, Grok, and DeepSeek.

Key Responsibilities

  • Design, develop, and deploy ML models for real-world applications.
  • Work extensively with RAG-based architectures to enhance LLM performance.
  • Optimize LLMs for specific tasks, ensuring scalability and efficiency.
  • Implement and fine-tune vector search solutions using PineconeDB.
  • Integrate OpenAI, Grok, and DeepSeek APIs into ML workflows.
  • Work with large datasets to develop training, inference, and evaluation pipelines.
  • Collaborate with data scientists, software engineers, and product teams to build AI-driven solutions.
  • Optimize Python-based ML frameworks for performance and efficiency.
  • Stay updated with the latest advancements in machine learning, NLP, and AI research.

Required Skills & Qualifications

  • 8+ years of experience in Machine Learning and Python development.
  • Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
  • Hands-on experience with RAG and LLM fine-tuning.
  • Knowledge of vector databases (PineconeDB) and efficient search techniques.
  • Experience in integrating OpenAI, Grok, and DeepSeek APIs.
  • Solid understanding of NLP, Deep Learning, and AI architectures.
  • Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
  • Strong problem-solving skills and ability to work in an agile environment.

Preferred Qualifications

  • Experience in optimizing ML models for production.
  • Hands-on experience with MLOps, model monitoring, and deployment pipelines.
  • Knowledge of GPU acceleration and distributed computing for AI workloads.
  • Prior experience with LLM-based applications and chatbot development.

What We Offer

  • Competitive salary & benefits package.
  • Opportunity to work with cutting-edge AI technologies.
  • A collaborative and innovative work environment.
  • Career growth opportunities in the AI/ML domain.

Job Type: Full-time

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