Core Responsibilities :
- Technical Delivery Leadership : Own the end-to-end delivery lifecycle for multiple AI / ML and NLP projects, ensuring solutions are delivered on time, within budget, and meet high quality and performance standards.
- Technical Design & Architecture : Provide technical leadership in designing scalable and robust AI solutions, leveraging expertise in Machine Learning (ML), Natural Language Processing (NLP), and Cloud technologies (AWS / Azure).
- Team Management & Mentoring : Lead, mentor, and manage a team of 5-8 AI / ML / NLP Engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
- Stakeholder Management : Collaborate effectively with business stakeholders, product owners, and other technology teams to translate complex business requirements into clear, executable technical roadmaps and delivery plans.
- Operational Excellence : Oversee MLOps practices, deployment pipelines, and post-deployment monitoring to ensure the long-term stability and reliability of AI models in production.
- Innovation & Strategy : Stay abreast of the latest advancements in AI, including LLMs and Generative AI, and strategically incorporate new technologies to drive business value.
Required Technical Expertise :
Analytics / AI Delivery Management : 12+ years of total experience, with a significant focus on the delivery and management of data science, analytics, and AI projects.NLP / Machine Learning : 5+ years of hands-on and leadership experience in developing and deploying solutions utilizing Natural Language Processing (NLP) and Machine Learning (ML) techniques.Cloud Platforms : 4+ years of practical experience with cloud services, specializing in AWS and / or Azure, covering services relevant to data processing, storage, and ML model deployment.Python : 4+ years of hands-on coding and architectural experience with Python for building robust, production-ready AI / ML applications and frameworks.Team Management : Proven track record of successfully managing and mentoring a technical team of 5-8 AI / ML / NLP Engineers.Desirable Skills (Good-to-Have) :
Generative AI / LLMs : 2+ years of experience working with Large Language Models (LLMs), Generative AI, and / or Computer Vision projects.This includes experience with frameworks, fine-tuning, and application development (e. , RAG systems).
Experience with MLOps tools and platforms (e. , Kubeflow, SageMaker, Azure ML).Familiarity with containerization technologies like Docker and Kubernetes(ref : hirist.tech)