Lead I - Data Science - MLOps

5 - 9 years

0 Lacs

Posted:2 days ago| Platform: Shine logo

Apply

Work Mode

On-site

Job Type

Full Time

Job Description

As a Lead ML-Ops Engineer at the company, your role will involve spearheading the end-to-end operationalization of machine learning and Generative AI models across platforms. You will be pivotal in building robust and scalable ML pipelines, embedding responsible AI governance, and integrating innovative GenAI techniques such as Retrieval-Augmented Generation (RAG) and LLM-based applications into real-world systems. Collaboration with cross-functional teams of data scientists, data engineers, product managers, and business stakeholders is essential to ensure that AI solutions are production-ready, resilient, and aligned with strategic business goals. A strong background in Dataiku or similar platforms is highly preferred. Key Responsibilities: - Design, implement, and manage scalable ML pipelines using CI/CD practices. - Operationalize ML and GenAI models to ensure high availability, observability, and reliability. - Automate data and model validation, versioning, and monitoring processes. - Act as a thought leader and mentor to junior engineers and data scientists on ML-Ops best practices. - Define architecture standards and promote engineering excellence across ML-Ops workflows. - Lead the integration of GenAI capabilities such as RAG and large language models into applications. - Identify opportunities to drive business impact through cutting-edge AI technologies and frameworks. - Implement governance frameworks for model explainability, bias detection, reproducibility, and auditability. - Ensure compliance with data privacy, security, and regulatory standards in all ML/AI solutions. Qualifications Required: - 5+ years of experience in ML-Ops, Data Engineering, or Machine Learning. - Proficiency in Python, Docker, Kubernetes, and cloud services (AWS/GCP/Azure). - Hands-on experience with CI/CD tools (e.g., GitHub Actions, Jenkins, MLflow, or Kubeflow). - Deep knowledge of ML pipeline orchestration, model lifecycle management, and monitoring tools. - Experience with LLM frameworks (e.g., LangChain, HuggingFace Transformers) and GenAI use cases like RAG. - Strong understanding of responsible AI and MLOps governance best practices. - Proven ability to work cross-functionally and lead technical discussions. Additional Company Details: Join a collaborative, forward-thinking team with a strong emphasis on impact, ownership, and learning. The company offers competitive compensation, remote flexibility, and opportunities for career advancement.,

Mock Interview

Practice Video Interview with JobPe AI

Start Artificial Intelligence Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
UST logo
UST

IT Services and IT Consulting

Aliso Viejo CA

RecommendedJobs for You