Machine Learning Engineer II

Job Title: Lead Machine Learning Engineer

Location: Bangalore

Job Type: Full Time

We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions for our Clients.

Key Responsibilities:

• Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks.
• Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals.
• Utilize Large Language Models for text generation, summarization, and related applications.
• Development, and implementation of machine learning models and algorithms.
• Evaluate the LLM and the solutions leveraging LLMs for their effectiveness.
• Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Deploy machine learning models into production environments and monitor their performance.
• Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
• Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture.
• Stay up to date with the latest advancements in machine learning, Generative AI and related technologies.
  
  

• Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 5-7 years of hands-on experience in machine learning, data analysis, or software development.
• Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc.
• Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc.
• Experience and reasonable understanding of setting up LLM evaluations, frameworks like deepeval and approaches like LLM-as-a-Juge
• Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation.
• Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies.
• Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT.
• Excellent problem-solving skills and ability to think critically and creatively.
• Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment.
  
  

• Experience with big data tools and platforms, such as Hadoop, Spark, or Hive
• Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc)
• Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc.
• Published research papers or contributions to the AI/NLP community.