Design and develop machine learning models, integrate off-the-shelf LLMs, and optimize pipelines. Lead initiatives from concept to operation. Strong analytical and problem-solving skills required.
Key Highlights
Technical Skills Required
Job Description
Role - Sr Machine Learning Engineer
Experience - 5 +Yrs
Location - Remote
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
● Strong conceptual understanding of foundational models, transformers, and related research
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● 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
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● 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) or contributions to open-source projects.
● Experience working with geographically distributed teams across multiple time zones.
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