Data Scientist - GCP & MLOps (Hyderabad)

Department Icon Data Science Analytics & Machine Learning
Posted: 2 days ago
6-10 years
Hyderabad
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 9 Jan 2027

Posted: 2 days ago
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Job Description

  • Data Scientist - GCP & MLOps (Hyderabad)
  • Company: Technology next
  • Job Location: Hyderabad, Telangana, India
  • Employment Type: Full-time
  • Experience Required: 6 - 8 years
  • Salary: 10,80,000 - 15,60,000 per year
  • Job Title: Data Scientist
  • Experience: 68 Years
  • Location: Gurugram , Bengaluru, Pune, Jaipur, New Delhi, Noida, Hyderabad, Chennai, Bhopal, Mumbai

We are looking for an experienced Data Scientist with a strong engineering background and hands-on expertise in Python, Machine Learning, GCP, and MLOps. The candidate will be responsible for developing, training, deploying, and managing scalable machine learning models in production environments.

  • Key Responsibilities
  • Develop, train, and validate machine learning models using Python.
  • Perform feature engineering, exploratory data analysis (EDA), and model evaluation.
  • Build and maintain ML training and inference pipelines.
  • Use Argo Workflows on Kubernetes for workflow orchestration.
  • Leverage Vertex AI for model training, hyperparameter tuning, and validation.
  • Manage trained model artifacts using Google Cloud Storage (GCS).
  • Implement model versioning, monitoring, rollback, and lifecycle management.
  • Monitor production models, detect model drift, and support retraining strategies.
  • Ensure model reliability, scalability, and performance in production environments.
  • Required Skills
  • Strong hands-on experience with Python.
  • Experience with Machine Learning frameworks such as PyTorch, Scikit-learn, and CatBoost.
  • Strong understanding of Feature Engineering, Model Training, and Evaluation.
  • Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.
  • Experience with Kubernetes and Argo Workflows.
  • Knowledge of GCS and MLOps principles.
  • Experience in taking ML models from experimentation to production.
  • Understanding of model monitoring, drift detection, and inference pipelines.
  • Positive to Have
  • Experience with real-time and batch inference systems.
  • Exposure to CI/CD for ML pipelines.
  • Knowledge of model monitoring and automated retraining strategies.
  • Compensation: 90,000.00 - 130,000.00 per month
  • Experience:
  • data scientist: 6 years (Required)
  • Work Location: On the road .

Skills

Data ScientistMlopsPyTorchPythonMachine LearningGCPFeature EngineeringModel EvaluationScikitlearnCatBoostModel TrainingMLOps

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