AI Engineer_ MLOPs_ 3 to 5yrs
Fractal · Bengaluru
- Experience3–5 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelmid
- Posted15 Sept 2026
About Fractal
Fractal is hiring in Bengaluru in technology software. This role looks for around 3+ years of experience.
Skills
- MLOps
- machine learning
- Docker
- Python
- PySpark
- Java
- C#
- C++
- CI/CD
- SQL
- Git
- AWS
- Azure
- Google Cloud Platform
- Object-oriented programming
- System integration
- Application development
- Data warehousing
- MLflow
- Kubeflow
- Kubeflow Model Registry
- DataRobot
- HopsWorks
- Dataiku
The role
An AI/ML engineer at a technology software company builds and operates machine learning production systems using MLOps, machine learning, and scalable ML pipelines. The role develops deployment and monitoring tools with Python, Docker, and cloud computing for production-quality AI solutions.
Full job description
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.
JOB LOCATION:
Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, Noida
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:
3-5 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
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!