Description :

We are seeking a talented and passionate Senior Machine Learning Engineer to join our AI team and play a driving role in developing cutting-edge AI systems. As a key member of the team, you will design, develop, and deploy state-of-the-art machine learning models, including LLM optimisations. You will work on challenging data science problems while collaborating closely with business, product, and engineering teams to deliver impactful AI-driven features. As a Senior ML Engineer, you'll not only lead complex technical initiatives but also actively mentor junior team members and drive projects from ideation to deployment. This is a unique opportunity to be at the forefront of innovation, leveraging advanced AI technologies to transform an industry ripe for digital disruption.

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 LLMs 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.

- Operationalise 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 the successful implementation of AI technologies.

- Work closely with the AI and Engineering Leadership to support hiring of top AI talent.

- Uphold our culture of engineering excellence by maintaining high standards in innovation and execution.

Requirements :

- You are a motivated Machine Learning Engineer with at least 5 years of relevant experience who is passionate about working on innovative projects in a dynamic environment.

- You thrive on solving challenging problems using advanced AI technologies.

- Bachelor's or Master's degree in Science or Engineering with strong programming, data science, critical thinking, and analytical skills.

- 5+ years of experience in ML and Data science.

- Recent demonstrable hands-on experience with LLMs - integrating off-the-shelf LLMs, fine-tuning smaller models, building RAG pipelines, designing agentic flows, and other optimisation 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.

- 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 the 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 specialisations 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.