Strong working knowledge in Machine Learning and NLP.
Hands on working proficiency in Python and deep learning/NLP frameworks.
Extensive hands-on experience with PyTorch, Transformer s , and related libraries.
Proven track record in delivering and optimizing production-ready NLP models.
Demonstrated leadership in scaling and guiding data science teams.
Experience with vector databases (e.g., FAISS, Pinecone, Weaviate).
Exposure to semantic search and knowledge graph construction.
Familiarity with MLOps and deployment pipelines.
Excellent problem-solving, communication, and analytical skills.
RESPONSIBILITIES:
Understanding functional requirements thoroughly and analyzing the client s needs in the context of the project
Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it
Determining and implementing design methodologies and tool sets
Enabling application development by coordinating requirements, schedules, and activities.
Being able to lead/support UAT and production roll outs
Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it
Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
Giving constructive feedback to the team members and setting clear expectations.
Bachelor s or master s degree in computer science, Information Technology, or a related field.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time