Associate Director Engineering - Machine Learning Platforms
- Myntra
- 14 - 18 years
- Bengaluru
- 2 months ago
- Email to a friend
- Report this job
Job Description
- Strategy & Leadership :
- Define and own the technical roadmap and architectural vision for the entire MLOps lifecycle, from feature engineering to model serving and monitoring.
- Implement the ML platform strategy, overseeing the architecture of core components like the feature store, model registry, and experiment tracking frameworks.
- Collaborate with Engineering, ML, and Insights teams to foster a data-driven culture across the organization.
- Cross-Functional Collaboration:
- Collaborate closely with Data Scientists to understand their modeling needs and translate them into robust platform capabilities.
- Engage with key stakeholders across Product, Marketing, and Operations to drive data governance, quality, and compliance.
- Team Leadership :
- Build and lead high-performing machine learning engineering teams.
- Mentor and guide senior ML engineers on their most complex technical challenges.
- Set and monitor OKRs & KPIs to deliver high-impact, reliable data and ML solutions.
- Operational Excellence :
- Ensure the ML platform's reliability, scalability, and cost-effectiveness.
- Oversee the platform's performance and resource utilization, proactively identifying and resolving bottlenecks.
- Optimize cloud infrastructure (preferably on Azure) for efficiency and performance.
- Innovation :
- Stay ahead of industry trends and the latest advancements in AI/ML, such as LLMs, Generative AI, and new MLOps tools.
- Drive research and development efforts and lead Proof of Concepts (POCs) to introduce new technologies that solve Myntras unique business problems.
- A Bachelors or Masters degree in Computer Science, Engineering, or a related ML field.
- 14+ years of professional experience in software or data engineering, with at least 5+ years in a senior leadership role managing a large team.
- A minimum of 5+ years of specific, hands-on experience as a Machine Learning Engineer is required.
- Proven experience (minimum 3 years) in an architect or lead role focused on building and scaling ML platforms.
- Experience in a high-scale e-commerce or tech-driven company is highly preferred.
- Deep MLOps Expertise: Proven, hands-on experience designing and implementing a complete MLOps stack in a production environment.
- Big Data & Feature Engineering: Expertise with distributed data processing technologies like Apache Spark. Experience designing and building feature stores is required.
- Cloud and Distributed Systems: Strong knowledge of a major cloud platform (preferably Microsoft Azure/GCP) and a deep understanding of distributed systems architecture.
- Orchestration & Deployment: Strong understanding of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
- ML Frameworks: In-depth, hands-on knowledge of popular ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Generative AI: Hands-on experience with modern Generative AI technologies, including Large Language Models (LLMs), RAG, and vector databases.
- Technical Leadership: A proven track record of leading engineering teams, defining architectural best practices, and driving impactful technical decisions.
Job Classification
Industry: Internet (E-Commerce)Functional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Head - EngineeringEmployement Type: Full timeContact Details:
Company: MyntraLocation(s): Bengaluru
Keyskills: continuous integration cloud platform containerization ci cd pipeline database system architecture kubernetes scikit-learn production data processing ci/cd microsoft azure data engineering docker marketing tensorflow gcp spark pytorch big data ml
Similar positions
Myntra
Myntra Jabong is India's leading fashion and lifestyle destination with over 3000+ leading national & International brands along with our amazing collection of in- house brands, offering shoppers the latest in fashion and lifestyle space.
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in