Our Client is committed to provide the best solutions for our customers. It aims to accelerate the development of advanced technologies and to enter new and attractive market segments including future of mobility and medical devices. It stands at the cross section of the diverse business divisions and is uniquely positioned to bundle the most skilled engineers, researchers and business developers from across the globe to forge synergies and create inventive solutions. Our client is connecting the dots not only within the group, but also through collaborations with start-ups and customers. Intended to improve society and the well-being of people and the environment and constantly strives to bring new technologies and ideas to life.
Specialties: Multi-Market Innovator, Full Service Industry Expert, Automotive Electronics, Medical, White Goods, Consumer Goods, Clean-tech, Advanced Materials, Surfaces, Connectivity, and Electronics
Experience: 8 to 15 years
Job Location: Noida
CTC: Decent hike
Work Mode: Work from office
- Build and manage a team of data engineering, MLOps engineers, and machine learning engineers
- Guide the team to architect an entire AI Engineering platform that allows for deployment and scalability of machine learning models
- Build tools and capabilities that help with data ingestion to feature engineering, data management and organization
- Build tools and capabilities for distributed optimization
- Work with stakeholders on the research and software engineering side of the company to understand how to support their teams
- Build tools and capabilities for model management and model performance monitoring
- Guide the team to operating services at internet scale with high availability and reliability
- Propose and implement the best engineering and research practices for scaling ML-powered features, with a goal to enable the fast iteration of and efficient experimentation with novel features
- Contribute to and influence the ML infrastructure roadmap based on the feedback from internal customers
Phd preferred or Master’s degree in machine learning, artificial intelligence, software engineering or a related field
- 8+ years of experience in machine learning
- 2+ years of experience in a leadership role
- Experience and understanding of the entire machine learning pipeline from data ingestion to production
- Experience with machine learning operations, software engineering, and architecture
- Experience with large-scale systems including parallel computing
- Experience architecting and building an AI platform that supports product ionization of ML models
- Experience with MLOps systems
- Strong programming skills in a scientific computing language such as Python
- Experience using frameworks for machine learning and data science like scikit-learn, pandas, NumPy
- Experience working with ML tools such as Tensorflow, Keras, and Pytorch
- Ability to take successful, complex research ideas from experimentation to production
- Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
Regards
Usha Nadar
Sunshine Workforce Solutions
M: +91-9702300602
Email: [email protected]
Locations: Delhi NCR /Vadodara
