ML/MlOps Engineer

InfoBeans

Chennai

Presencial

INR 1.200.000 - 1.800.000

Jornada completa

14 días+

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Descripción de la vacante

A global digital transformation firm in Chennai is looking for an experienced Machine Learning Engineer / MLOps Engineer. The ideal candidate will design and manage data pipelines, convert models into production systems, and develop scalable tools for ML training. Candidates should have at least 5 years of experience in MLOps and strong communication skills. This full-time position offers competitive compensation and growth opportunities.

Formación

5+ years of experience in MLOps / ML Engineer roles.
Proficiency in CI/CD pipelines and DevOps practices for ML.
Hands-on experience with ML techniques: Decision Trees, Random Forest, Neural Networks.

Responsabilidades

Design and manage data pipelines and ML engineering infrastructure.
Convert offline models into production-grade ML systems.
Develop scalable tools for ML training and inference.

Conocimientos

Data Pipelines & Engineering

Model Deployment at Scale

Python with ML Frameworks (TensorFlow/PyTorch)

Advanced ML Algorithms (Decision Trees, Deep Learning, SVM, Clustering, Reinforcement Learning)

Educación

Bachelor’s or Master’s degree in Computer Science, IT, or related field

Herramientas

CI/CD pipelines

Automation

DevOps practices

Monitoring frameworks

Descripción del empleo

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Skills : Data Pipelines & Engineering, Model Deployment at Scale, Python with ML Frameworks (TensorFlow/PyTorch), Advanced ML Algorithms (Decision Trees, Deep Learning, SVM, Clustering, Reinforcement Learning).
Experience Required : 5-8 Years
Notice Period: Immediate Joiners Preferred

Job Description:

We are seeking an experienced Machine Learning Engineer / MLOps Engineer to join our team in Chennai. The ideal candidate will have a strong background in ML operations, scalable infrastructure design, and hands-on expertise in deploying production-ready machine learning solutions.

Key Responsibilities:

Design and manage data pipelines and ML engineering infrastructure to support enterprise-scale ML systems.
Convert offline models built by Data Scientists into production-grade ML systems.
Develop and deploy scalable tools and services for ML training and inference.
Ensure auditability, versioning, and data security in model development.
Collaborate with clients to gather requirements and provide technical solutions.
Apply CI/CD, automation, and software engineering best practices to ML workflows.
Identify and implement new technologies for performance, maintainability, and reliability improvements.
Work with structured, semi-structured, and unstructured datasets.

Key Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, IT, or related field.
5+ years of experience in MLOps / ML Engineer roles.
Proficiency in CI/CD pipelines, automation, and DevOps practices for ML.
Hands-on experience with ML techniques: Decision Trees, Random Forest, Boosting, Neural Networks, Deep Learning, SVM, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction.
Strong knowledge of data pipelines, model deployment, and monitoring frameworks.
Excellent problem-solving and analytical skills.
Strong communication and client-facing skills.

About InfoBeans:

InfoBeans is a global digital transformation and product engineering company, enabling businesses to thrive through innovation, agility, and cutting-edge technology solutions. With over 1,700 team members across the globe, we specialize in custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services.

At InfoBeans, we live by our core purpose of “Creating WOW!”—for our clients, team members, and the community. Our collaborative culture, growth opportunities, and people-first approach make us one of the most trusted and rewarding workplaces.

Link: https://infobeans.ai/

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