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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
About the role:
As a team member at TrusTrace, you’ll get to solve challenging, real-world problems that truly make a difference to society.
As a Product Developer at TrusTrace, you’ll get to solve challenging and real-time problems using cutting edge technologies. You get to work with industry thought leaders and big-name brands. You will work with the product team to materialize the requirements into pieces of user stories and priorities. You will get hands-on experience in polyglot programming to build solutions and write tests to ensure quality code. (We primarily work on Java, typescript/node, and golang). If you build it, you will own it, i.e . you will be generating metrics, track improvements, and bug fixes for features that are built and shipped by you.
Experience & Skills: (3 – 6 Years) The successful candidate will have
- Passion for problem-solving.
- Flexibility to multitask and re-priorities when necessary.
- Ability to work in an agile and customer-eccentric team.
- Open to learning new technologies.
- Prior saas/start-up experience is preferable, but not mandatory.
- Hands-on experience in back-end technologies and have a strong understanding of core data structure and design patterns.
- Commanding knowledge in HLD/LLD
- Basics of system design and distributed systems
- Strong fundamentals in frameworks like Spring MVC, Spring Security, Spring Data, and Spring-boot.
- Sound knowledge in Java and JVM ecosystem.
- Write the production-grade test code. Junit/ TestNG
- Proficiency with Rest API performance and OpenAPI standards.
- Experience in building cache layers and invalidate them properly ;-)
- Strong knowledge of NoSQL(Mongo) database.
- Experience with Elastic search or Solr is preferred.
- Basics understanding of cloud infrastructures (Preferably AWS) and CI/CD pipelines.
- Should have startup/product Experience
Educational Qualification : Preferably from CS/Circuit Background
Chiefly oversees the software architecture, technical engineering, and implementation technology. Provide technical leadership and technical guidance on the design and implementation of technology solutions to support business needs and facilitate strategy. Work closely with development teams to communicate IT strategies and outline practices that are meant to be followed throughout the project. Future Duties & Responsibilities include: Architect and design frameworks for applications involving 50000 concurrent users, large user volume-based product development environment Cloud-based architecture (AWS and preferably Google Cloud) Kubernetes based cloud cost-effective deployments and resource management Cloud cost management monitoring and optimization recommendation Ability to do quick POC’s for new challenging technical areas of work Engage in code reviews to ensure team members are contributing code that meets the strategic goals and best practices of applications and architecture Consult with architecture, development, infrastructure, and operational teams to address issues relating to application architecture, such as performance or availability, and recommended solutions Collaborate across business and product stakeholders to drive holistic technology implementations while maintaining a constant focus on delivering client value Visualize about security and data privacy while building solutions Who should apply? 5+ years of successfully working with developers, architects, and product owners to provide options for potential solutions Has worked on a core product development environment involving the design of both frontend and backend architecture involving most of these skill sets: Angularjs (or) Reactjs, Typescript (or) Javascript, NodeJs, MYSQL, NoSQL (Additional preference) Should have enabled cloud-based production-ready designs using AWS or Google Cloud services Strong skills in modern technologies of JSON, Web services (REST), data access components Strong understanding of IT automation concepts, DevOps, and CI/CDpractices Strong communication and interpersonal skill Job Perks Immense learning opportunity, as we are a small team with varied and interesting professional and personal experiences Multi-Disciplinary Learning Chances of catching up with entrepreneurs, technology leaders, educationists and scientists that you’d never meet otherwise If you think this job description suits your skillset Kindly apply |