As a Data Scientist / ML Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
GenAI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base.
AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
responsibilities :
Develop, implement, and validate Machine Learning solutions tailored to specific project requirements.
Understand clients’ needs and translate business problems into data science problems.
Design scalable AI solution architectures
Develop data pipelines and workflows, ensuring the highest standards of data quality and security.
Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications.
Present findings and recommendations clearly and concisely to stakeholders.
Effectively plan tasks within an Agile/Scrum framework.
requirements-expected :
4+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
Proven expertise in deploying solutions in cloud environments (AWS or Azure).
