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Building the machine learning production (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. 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 Fractal clients.

Responsibilities

As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.

• Enable Model tracking, model experimentation, Model automation
• Develop ML pipelines to support
• Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
• Develop MLOps components in Machine learning development life cycle using Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
• Be an integral part of client business development and delivery engagements across multiple domains

Required Qualifications

• 3-5 years experience building production-quality software.
• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent
• Strong experience in System Integration, Application Development or Data Warehouse projects across technologies used in the enterprise space
• Knowledge of MLOps, machine learning and docker
• Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
• CI/CD experience( i.e. Jenkins, Git hub action,
• Database programming using any flavors of SQL
• Knowledge of Git for Source code management
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions
• Foundational Knowledge of Cloud Computing on Azure
• Hunger and passion for learning new skills

Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. 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-ofthe-art AI solutions for Fractal clients.

Responsibilities

As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.

• Enable Model tracking, model experimentation, Model automation
• Develop scalable ML pipelines
• Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
• Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base required to deliver increasingly complex MLOPS projects on Azure
• Be an integral part of client business development and delivery engagements across multiple domains

Required Qualifications

• 5.5-9 years experience building production-quality software
• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR equivalent
• Strong experience in System Integration, Application Development or Datawarehouse projects across technologies used in the enterprise space
• Expertise in MLOps, machine learning and docker
• Object-oriented languages (e.g. Python, PySpark, Java, C#, C++)
• Experience developing CI/CD components for production ready ML pipeline.
• Database programming using any flavors of SQL
• Knowledge of Git for Source code management
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions
• Team handling, problem solving, project management and communication skills & creative thinking
• Foundational Knowledge of Cloud Computing on Azure
• Hunger and passion for learning new skills

Requirements

• Overall 2-8 years of software development experience in building web-based and highly scalable applications 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in Core Java and SpringBoot or other equivalent frameworks 

• Strong experience in HTML5 and CSS3 and should have basic experience in JS technologies

• Good knowledge of database concepts, having SQL writing experience, and familiarity with at least one of the relational databases

• Worked in a CI/CD environment with Jenkins

• Experience working in an agile team with software engineering practices like automated testing, test-driven development, continuous integration, etc is a big plus. 

• Ability to quickly learn and evaluate new technologies and work effectively in a fast-paced, dynamic environment

• Strong oral and written communication.

Role Description:

• Lister is actively engaged with client across digital transformation and engineering
• As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
• As a Technical Lead:, You will need to collaborate with Solution Architects define technology
• roadmap, evaluate/recommend technologies, architect and design solutions, Work
• with other developers to oversee the development and implementation
• You will translate functional requirements from business stakeholders to the technical
• team for implementation
• You will need to troubleshoot design flaws and system bottlenecks
• You will have to be hands-on with code reviews and evaluate implementation for performance and scale
• Manage communication between our clients and internal teams in India and USA
• Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
• Rapidly gain an understanding of project requirements and drive execution
• Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.

Skills Required:

• Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
• Microservice design pattern is a must
• Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
• Experience in software development tools like Prettier, CodeCov, Snyk, etc..
• Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
• Experience in Designing scalable architecture systems for Node-based applications
• Ability to grasp complex implementations; Proven results of delivering client solutions
• Should have experience of working with offshore team
• Experience in working on large scale technology transformation projects for product companies is preferable
• Technology contributions to open source projects will be an added advantage
• Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.