AI/ML Delivery Lead

4 days ago


Bengaluru, India Neerinfo Solutions Full time

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)



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