ML/MlOps Engineer
19 hours ago
About the Job:
- Job Title: ML Engineer / MLOps Engineer
- 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
- Location: Chennai
- 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.
- Conduct proof-of-concept (POC) ML deployments .
- 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:
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