Recro
Website:
recro.io
Job details:
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
● Strong 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.
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