Lead MLOps Engineer | Remote-Friendly

1 month ago

Pune, India Velotio Technologies Full time

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 325+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

Summary

  • This role is responsible for providing technical leadership and execution expertise to design and deliver end-to-end MLOps engineering solutions to support new product development and advanced analytics capabilities.
  • The Lead MLOps Engineer plays a pivotal role in bridging the gap bewteen data science and operations, ensuring smooth deployment and management of machine learning models in production environments.
  • You will collaborate closely with data scientists, data engineers, and data architects to build scalable, reliable, and automated machine learning pipelines.

Requirements

  • Deploy and maintain various types of AI/ML models in production including model performance tracking and CI/CD pipelines for model retraining.
  • Design, develop, and maintain a Feature Store, online and offline, as needed to accelerate data science initiatives and support real-time use cases.
  • Design, develop, and maintain online and offline model serving.
  • Develop and implement standards and best practices for MLOps discipline and ensure consistency to these standards.
  • Work closely with data scientists, software engineers, and data engineers to ensure successful deployment and management of AI/ML models.
  • Develop and maintain MLOps related infrastructure.
  • Stay abreast of current and emerging technologies to improve efficiency, reliability, and scalability, including emerging machine learning, data management, and AI capabilities with the real-time implementation of AI/ML software.
  • Partner with the Lead Architect on ML architecture and solution design.
  • Perform design, code, and test plan reviews in support of maintaining data engineering standards
  • Implement a modern Model Lifecycle, in conjunction with Data Scientists and Researchers, to drive a rapid, iterative lifecycle from request to delivery of models
  • Develop and implement an efficient and scalable framework to take models from data scienists to fully optimized and implemented production processes
  • Collaborate with data scientists to prepare data for model development and production
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.

Desired Skills

  • 5+ years of experience in data science or engineering roles, including hands-on experience designing and developing machine learning solutions
  • 3+ years of hands-on professional MLOps engineering experience including understanding of container technology, Restful API and other various model deployment techniques and model performance
  • measurement in production.
  • Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic.
  • Strong knowledge of modern machine learning techniques.
  • Expert proficiency in programming and querying languages, including Python and SQL
  • Proficiency in big data processing, including Apache Spark and/or Databricks.
  • Proficiency in technologies like MLFlow, Azure ML services, AutoML etc.
  • Proven track record of leading projects and cross-functional teams
  • Strong problem-solving and analytical thinking skills.Bachelor’s degree in computer science or related quantitative field of study or related experience
  • Experience working with Agile methodologies
  • Experience with IOT, software-defined customer experiences, private equity backed companies.

Benefits

Our Culture:

  • We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly.
  • Flat hierarchy with fast decision making and a startup-oriented “get things done” culture.
  • A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment.

Note: Currently, all interviews and onboarding processes at Velotio are being carried out remotely through virtual meetings.

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