MLOPS Engineer

“DevOps: A culture where people, regardless of title or background, work together to imagine, develop, deploy, and operate a system.” 

Ken Mugrage

Building the machine learning production infrastructure (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organizations. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier.

You will be part of a team deploying state-of-the-art AI solutions for our clients. For example, suppose Cogniphi’s data scientists create an innovative solution for automatically reading and processing videos on edge devices for a large retail chain. How should it be deployed into production? How will end-users access the solution? How will it scale to processing millions of documents? What tools or platforms should the client use for monitoring? An ML DevOps engineer at Cogniphi needs to answer these questions AND build out the solution.

You will need to demonstrate the ability to write solid, production-quality code and enthusiasm for becoming an expert in this exciting new career.

Your Responsibilities

• Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
• Take offline models data scientists to build and turn them into a real machine learning production system
• Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
• Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our clients’ machine learning systems
• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
• Support model development, with an emphasis on auditability, versioning, and data security
• Facilitate the development and deployment of proof-of-concept machine learning systems
• Communicate with clients to build requirements and track progress

You Must Have

• 2–5 years of experience building production-quality software.
• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
• Strong software engineering skills in complex, multi-language systems
• Fluency in Python
• Comfort with Linux administration
• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open source tools
• Experience developing with containers and Kubernetes in cloud computing environments
• Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc. – Kubeflow is a must and the ability to understand each framework and select the best tool for need is a must)

You’re the one we’re looking for if you have

• Ability to translate business needs to technical requirements
• Strong understanding of software testing, benchmarking, and continuous integration
• Exposure to machine learning methodology and best practices
• Exposure to deep learning approaches and modelling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Bachelors or Masters degree and/or equivalent professional experience

What You Will Gain

Learning & Development

Niche projects in Computer Vision, AI, and Telematics in multiple industry sectors. Platform and product implementations. Tier -1 technology partners and supportive management ensure individual as well as overall company growth.

Global Work Culture

We firmly believe talent is something that should never be tied down with location and within an office premise. In fact, our dedicated and talented team is located across the world.

Medical Insurance

Avail a range of medical benefits! We provide the best possible coverage for your medical needs.

Psychological Safe Workplace

Enthusiasm and encouragement all the way! A bold and supportive management who appreciates new initiatives, encourages and guides each of its family members to bear risks and stretch themselves is something truly extraordinary.

Competitive Packages

We offer the best package as per the industry standards.

Must Know 

At Cogniphi, we expect our engineers to not only revolutionize state of art in automation and cognitive technologies but also focus and work on massive scalability solutions, large-scale applications, and entirely new platforms. Pioneering with our AIVI Vision platform we are in pursuit of the ambitious mission of AI to all.

The first of our cognitive suites AIVI (Artificial Intelligence Vision Intelligence) is a dedicated platform that helps bring the power of Vision Intelligence to diverse business sectors including Manufacturing, Retail, Healthcare, and Surveillance. AIVI relies on complex spatial computing, machine learning, pattern recognition, anomaly detection, and computer vision and is field-proven in real-life environments. The platform today hosts 250+ industry-specific patterns, powers 10K+ cameras, and has revealed USD 25M revenue across businesses with minimal investment.

More than the cognitive technologies and engineering skills that we possess, we also firmly believe it is our drive for excellence and passion for problem-solving that will bring exponential growth to all the stakeholders.Our Hiring Process

Interview

We are in receipt of your application. Thank you for showing interest to be a part of us. If your resume meets our requirements, we will get in touch with you for further processing. One of us will introduce you to cogniphi and will guide you with everything that is required.

Feedback

We believe in clear communication thus after the interview, we will provide feedback. Be it a positive or negative outcome, we will definitely let you know.

Decision

We will let you know our outcome at the earliest. Mostly our decisions are YES!

People

At Cogniphi, we believe in the growth of our people. No matter where you are designer, content writer, developer, or heading projects, you can develop your career with us.

Passionate Team

Our team works passionately on every project team. Having a passionate team makes the office space cool and stress-free. We are supported by billion-dollar companies – UST Global and SunTec that emphasize the credibility of our tech platform.

Stirring Environment

Challenging work project inspires us to bring out more creative things in our work. We don’t forget to showcase our uniqueness in every project. Our uniqueness is delivering challenging works, which inspires us!

Atmosphere

Our office is situated in the eco-friendly Technopark Campus in Thiruvananthapuram, Kerala. The workplace has an attractive and work-friendly appearance. We keep our workplace hygiene in the best possible way.