Senior AI Engineer - NLP/MLOps (2-5 yrs)

This Senior AI Engineer role focuses on developing and deploying generative AI models to streamline market research automation, working closely with product managers, designers, and engineers.

Responsibilities

Key Performance Indicators (KPIs) :

- Model quality - High-fidelity outputs, improved accuracy, explainability, and relevance.

- Timeliness Scalability - Reduced latency, stable infrastructure under load, and efficient resource usage.

- User Impact - Increased user satisfaction, retention, and broader product adoption.

Primary responsibilities of this role :

- Design Refine MLs LLM Solutions - Architect, fine-tune, and integrate models to produce insightful, trustworthy results.

- Backend Engineering - Build scalable APIs, robust pipelines, and tightly integrated backend services.

- Validation Compliance - Run pilot tests, ensure TRL readiness, maintain security, and mitigate bias.

- Continuous Improvement - Monitor performance, iterate on solutions, and help move from early adopters to mainstream markets.

Required Skills Experiences :

- LLM Expertise - Strong background in designing and tuning advanced models for 3+ years..

- Backend Engineering - Proficiency in creating APIs, microservices, and cloud-based solutions.

- Communication Analysis - Ability to convey technical details clearly and align initiatives with business needs.

- Adaptability - Commitment to learning new methods and evolving as the field advances.