Senior Machine Learning Engineer (Bengaluru)

Role
- Senior MLE (Sr Machine Learning Engineer) Experience
- 5+Yrs Location
- Bangalore What You Will Achieve and Key Responsibilities Research, Design, Develop and Deploy AI models and systems ● Lead the research and development of AI models
- a varied portfolio ranging from small classifiers to fine-tuning LLM’s for specific use-cases ● Design, implement and deploy AI-based solutions to solve business and product problems ● Develop and implement strategies to track and improve the performance and efficiency of existing and new AI models and systems ● Operationalize efficient dataset creation and management ● Execute best practices for end-to-end data and AI pipelines ● Work closely with the leadership team on research and development efforts to explore cutting-edge technologies. ● Collaborate with cross-functional teams including full-stack engineers, product managers, QA engineers, data annotation experts, SMEs and other stakeholders to ensure successfulimplementation of AI technologies Build and Mentor the AI Team ● Work closely with the AI & Engineering Leadership to support hiring of top AI talent ● Uphold our culture of engineering excellence by maintaining high standards in innovation & execution Minimum Qualifications ● Bachelor’s or Master’s degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills ● 5+ years of experience building in ML and Data science ● Recent demonstrable hand-on experience with LLMs
- integrating off-the-shelf LLM’s, fine-tuning smaller models, building RAG pipelines, designing agentic flows, and other optimization techniques with LLMs ● Solid conceptual understanding of foundational models, transformers, and related research ● Strong conceptual understanding of the basics of machine learning and deep learning with expertise in Computer Vision and Natural Language Processing ● Recent demonstrable experience with managing large datasets for AI projects ● Experience with implementing AI projects in Python and working knowledge of associated Python libraries
- numpy, scipy, pandas, sklearn, matplotlib, nltk, etc. ● Experience with Hugging Face, Spacy, BERT, Tensorflow, Torch, OpenRouter,Modal, and similar services / frameworks ● Ability to write clean, efficient, and bug-free code. ● Proven ability to lead initiatives from concept to operation while navigating challenges effectively. ● Strong analytical and problem-solving skills ● Excellent communication and interpersonal skills Preferred Qualifications ● Recent experience with implementing state-of-the-art scalable AI pipelines for extracting data from unstructured / semi-structured sources and converting it into structured information, along with necessary technical infrastructure to support deployment ● Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, ECS, etc.), and managed services like Bedrock, SageMaker, etc. ● Experience with MLOps practices, e.g. model monitoring, feedback pipelines, CI/CD flows, and governance best-practices ● Experience working with applications hosted on AWS or Django web frameworks. ● Familiarity with databases and web application architecture. ● Experience working with OCR tools or PDF processing libraries. ● Completed academic or online specializations in Machine Learning or Deep Learning. ● Track record of publishing research in top-tier conferences and journals ● Participation in competitive programming (e.g., Kaggle competitions) orcontributions to open- source projects. ● Experience working with geographically distributed teams across multiple time zones. Apply on Kit Job: kitjob.in/job/4n8ssu