Lead Software Engineer- NLP, Gen AI

Job Summary


Responsibilities

• Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs.
• Lead architecture and technical design discussions to ensure data science solutions align with the organizations strategic objectives.
• Continuously improve models through experimentation and optimization techniques.
• Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing
• Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives.
• Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.
• Create Data Science packages and APIs for use across the organization
• Mentor junior members of the team on effective technical practices and non-technical acumen
• Be accountable for the scalability, stability, and business adoption of data science solutions

What you ll need


Must have

• Education qualification as graduate or postgraduate degree in Engineering or Data Science is required.
• Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
• Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes.
• Experience building Generative AI and Agentic AI solutions using LangChain, LangGraph, Langfuse, RAG, and prompt engineering.
• Demonstrated ability to translate quantitative analysis into actionable business strategies.
• Ability to work collaboratively across business, data science and technical stakeholders.

Who you are

• Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred.
• Excellent communication and prioritization skills.
• Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
• Owns success - Takes responsibility for successful delivery of the solutions.
• Ardent desire to improve upon their skills in software development, frameworks, and technologies.

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