AI Technical Delivery Lead
3 days ago
Description :
We are seeking an experienced and strategic AI Technical Delivery Lead to manage and drive the successful execution of complex AI/ML and Natural Language Processing (NLP) solutions.
This leadership role requires a strong technical background, particularly in cloud environments and Python, combined with proven experience in team management and end-to-end delivery of advanced analytics projects.
Key Details :
Role : AI Technical Delivery Lead
Total Experience : 12 Years in Analytics/AI Delivery Management
Location : Bangalore, Hyderabad, Pune, Mumbai
Team Management : Must have managed a team of 5-8 AI/ML/NLP Engineers
Core Responsibilities :
- 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.g., RAG systems).
- Experience with MLOps tools and platforms (e.g., Kubeflow, SageMaker, Azure ML).
- Familiarity with containerization technologies like Docker and Kubernetes.
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