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MYCPE ONE
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AI/ML Lead

AI/ML Lead

MYCPE ONE

3 years

0 Lacs

ahmedabad gujarat india

Posted:19 hours ago| Platform:

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Skills Required

ai ml design cutting learning drive leadership efficiency strategy data engineering development model management deployment transparency compliance collaboration experimentation flow support aws sagemaker azure gcp vertex tensorflow pytorch programming python communication git mlflow docker

Work Mode

On-site

Job Type

Full Time

Job Description

Role Overview

AI Lead

Key Responsibilities

Strategy & Leadership
Define and drive the organization’s AI strategy and roadmap aligned with business objectives.
Lead a team of data scientists, ML engineers, and AI researchers.
Collaborate with product, engineering, and business stakeholders to identify and prioritize AI initiatives.
Stay current with emerging AI technologies and assess their potential impact.
Technical Execution
Architect and oversee the development of scalable AI/ML models and pipelines.
Ensure end-to-end model lifecycle management — from data collection and feature engineering to deployment and monitoring.
Implement responsible AI practices, ensuring transparency, fairness, and compliance with ethical standards.
Optimize model performance and ensure robustness in production environments.
Collaboration & Mentorship
Mentor and upskill team members in machine learning, data engineering, and AI frameworks.
Foster a culture of experimentation, innovation, and continuous improvement.
Collaborate with data engineering teams to ensure efficient data flow and infrastructure support for AI solutions.

Qualifications

Education:

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience:

3+ years of experience in data science, AI, or machine learning roles, with at least 2+ years in a leadership capacity.
Proven experience designing and deploying production-grade AI/ML systems.
Strong understanding of cloud AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
Hands-on experience with frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face.

Skills:

Deep knowledge of machine learning, deep learning, NLP, and generative AI.
Strong programming skills in Python, R, or similar languages.
Excellent leadership, communication, and stakeholder management skills.
Experience with MLOps, data pipelines, and version control (Git, MLflow, Docker, etc.).

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