ML/MlOps Engineer

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, Mumbai, Indore

• Notice Period:

  Immediate Joiners Preferred

Machine Learning Engineer / MLOps Engineer

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:

custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services

“Creating WOW!”

Link: https://infobeans.ai/