Lead MLOps Engineer | Remote-Friendly

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.