ML Engineer Specialist

7 days ago

Pune Bengaluru Bangalore Gurgaon Gurugram, India beBeeMachineLearningEngineer Full time ₹ 1,04,000 - ₹ 1,30,878
Job Overview

We are seeking a seasoned expert in Machine Learning Engineering to join our team.

This role requires an individual with extensive experience in deploying and productionizing ML models at scale, as well as strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex.

The ideal candidate will have a solid understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization. Additionally, they should have expertise in designing, configuring, and using ML Engineering platforms like Sagemaker, Azure ML, MLFlow, Kubeflow, or other platforms.

The successful candidate will be responsible for building ML pipelines, troubleshooting ML models for high performance and scalability, and collaborating with data scientists to create state-of-the-art AI models.

  • Responsibilities:
  • Develop and implement scalable ML pipelines using RAG-based frameworks
  • Collaborate with data scientists to design and build ML models
  • Provide technical expertise in evaluating different products in the ML Tech stack
  • Lead teams to achieve established goals and objectives
  • Mentor and groom technical talent within the team
  • Perform design/code reviews to identify issues/risks and ensure robustness
  • Drive estimation of technical components and track team's progress
  • Handle client interactions as needed
  • Recommend designs that are scalable, testable, debuggable, robust, maintainable, and usable

Requirements

To be successful in this role, you will need to have:

  • Experience:
  • 4-8 years of experience in deploying and productionizing ML models at scale
  • Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex
  • Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization
  • Solid working knowledge of engineering components essential in a Gen AI application
  • Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time
  • Expertise in designing, configuring, and using ML Engineering platforms like Sagemaker, Azure ML, MLFlow, Kubeflow, or other platforms
  • Experience in building ML pipelines, troubleshooting ML models for high performance and scalability
  • Experience with Spark or other distributed computing frameworks
  • Strong programming expertise in Python, Scala, or Java
  • Experience in deployment to cloud services like AWS, Azure, GCP
  • Strong fundamentals of machine learning and deep learning
  • Up-to-date with recent developments in machine learning and familiar with current trends in the wider ML community
  • Knowledgeable of core CS concepts such as common data structures and algorithms
  • Excellent technical presentation skills (documentation, presentations, discussions)
  • Good communication skills with clear and concise language, active listening, and empathy

Benefits

We offer a competitive salary and benefits package, including:

  • Professional Growth:
  • Opportunities for professional growth and development
  • Access to cutting-edge technologies and tools
  • Collaboration with experienced professionals in the field

Additional Information

Please note that this role requires flexibility and willingness to work in a fast-paced environment. You will be expected to collaborate with cross-functional teams and communicate effectively with stakeholders. If you are passionate about Machine Learning Engineering and want to join a dynamic team, please apply for this exciting opportunity.

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