Senior Engineer/ Engineer

Job highlights

• Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS,Azure,GCP)/On Prem Be an integral part of client business development and delivery engagements across multiple domains
• Experience developing CI / CD components for production ready ML pipeline

Data Engineer
Bangalore, Mumbai, Pune, Gurgaon, Chennai

JOB DESCRIPTION:

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-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 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 the Cloud(AWS, Azure, GCP)/On Prem Be an integral part of client business development and delivery engagements across multiple domains.

QUALIFICATIONS: REQUIRED QUALIFICATIONS:

3-12 years experience building production-quality software

Strong experience in System Integration, Application Development or DataWarehouse projects across technologies used in the enterprise space

Basic Knowledge of 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 either one AWS, Azure or GCP

Hunger and passion for learning new skills

Recommended (not mandatory): completion of Fractal Data Science Professional Certificate" with this - https: / / www.coursera.org / professional-certificates / fractal-data-science

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.