Machine Learning Engineer

Project Role: Machine Learning Engineer

Work Experience: 2 to 8 Years

Work location: Bengaluru/Kochi

Work Mode: Hybrid

Must Have Skills: Machine Learning, Generative AI, NLP, Python, LLM

Job Description:

Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery.

Essential Functions:

• Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture.
• Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts.
• May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture.
• Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice.
• Keeps up to date with technology changes and identifies opportunities for implementation in future systems.
• Participates in R&D projects and may run those projects in compliance with standard project management practices.
• May mentor and assist lower-level architects and business analysts.

Technologies/Skillset:

• Experience on NLP, Machine Learning and Deep learning
• Experience working on Python is must
• Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development is must
• Knowledge of LLMs, fine tuning and deployment is must
• Knowledge of NER, Knowledge graphs is good to have
• Experience annotated datasets for Supervised Learning methods and correction is must
• Experience on text to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks

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Educational Qualification: B.Tech/B.E/MCA/MSC/BSC