Machine Learning Innovator

18 hours ago

Nashik, Maharashtra, India beBeeGenerative Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Machine Learning Engineer Position

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our core team. The ideal candidate will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Responsibilities:
  • Develop Generative AI Models: Utilize techniques like RAG, transformers, and other relevant approaches to create innovative generative AI models that meet our business needs.
  • Fine-tune Pre-trained LLMs: Enhance pre-trained language models for specific tasks and domains, unlocking their full potential and improving our products.
  • Conduct Research: Stay at the forefront of generative AI advancements, conducting research to improve model performance and capabilities, and driving innovation in our field.
  • Apply Software Engineering Rigor: Bring software engineering best practices to machine learning/generative AI pipelines, ensuring robustness and efficiency, and meeting our quality standards.
  • Evaluate and Analyze Model Performance: Critically assess the effectiveness of ML/generative AI models, identifying areas for improvement, and making data-driven decisions.
  • Stay Up-to-date with Industry Advancements: Continuously update your knowledge on the latest developments in generative AI research, and apply this knowledge to drive innovation and improvement in our products.
  • Facilitate Proof-of-Concept Deployment: Collaborate with cross-functional teams to develop and deploy proof-of-concept generative AI systems, and drive successful outcomes.
Qualifications:
  • Bachelor's/Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in generative AI or related fields, with a strong track record of delivering results.
  • Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring their performance, with a focus on efficiency and quality.
  • Strong programming skills in Python, with experience in RAG and other techniques for building generative models.
  • Familiarity with Git, Docker, and Linux for server management, with experience in cloud-based ecosystems, especially AWS ML/GenAI services.
  • Exposure to ML/GenAI frameworks and tools, with excellent communication and collaboration skills, and the ability to work independently and in a team-oriented environment.
  • Methodical and meticulous towards work and planning, with a focus on delivering high-quality results.

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