Senior Engineer/ Engineer_ MLOPs_ 3 to 9yrs

Posted Yesterday
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Bengaluru, Karnataka
Mid level
Artificial Intelligence • Consulting
The Role
The Senior Engineer/MLOps Engineer will develop and implement machine learning production systems, collaborating with Data Scientists and Engineers to automate and streamline model operations. Responsibilities include building scalable ML pipelines, deploying models, troubleshooting issues, and maintaining tools for deployment and monitoring. The role requires strong programming skills and experience in cloud computing environments.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Top Skills

C#
C++
Java
Pyspark
Python
The Company
Bellevue, WA
5,262 Employees
On-site Workplace

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies.

Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management.

Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

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