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AI/ML Engineer Consultant

https://www.randstad.com Logo

Randstad

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Location:
India , Bengaluru

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We are looking for a skilled and motivated MLOps Engineer to join our team. The ideal candidate should have at least two years of experience in data science and MLOps, a proven ability to deploy end-to-end machine learning projects, and a strong educational background from IITs, NITs, or equivalent institutions. This role combines expertise in data science, machine learning, and operationalizing models to ensure seamless integration into production systems.

Job Responsibility:

  • Work on the complete lifecycle of machine learning projects, from problem definition to deployment and monitoring
  • Develop and deploy machine learning (ML) and deep learning (DL) models to solve business problems
  • Implement MLOps pipelines for model versioning, testing, deployment, and monitoring
  • Automate workflows for data preprocessing, feature engineering, and model retraining
  • Monitor the performance of deployed models and manage updates and retraining
  • Leverage tools like Databricks, Azure ML, and cloud platforms to build scalable ML systems
  • Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders, to solve challenges

Requirements:

  • Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field from IITs, NITs, or similar top-tier institutions
  • 2+ years of experience in data science, machine learning, or MLOps roles
  • Proven experience deploying at least one end-to-end ML project into production
  • Proficiency in MLOps tools like MLflow, Kubeflow, Airflow, or similar
  • Hands-on experience with cloud platforms like Azure, AWS, or GCP
  • Strong expertise in ML, DL, and exploratory data analysis (EDA)
  • Familiarity with CI/CD pipelines and containerization tools like Docker and Kubernetes
  • Programming proficiency in Python, R, or similar languages
  • Excellent problem-solving and analytical thinking skills

Additional Information:

Job Posted:
February 05, 2026

Expiration:
February 08, 2026

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