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AI / ML Engineer - Data Modeling

AI / ML Engineer - Data Modeling

Velodata Global Pvt LtdBangalore
1 day ago
Job description

About the job :

Location : Kochi / Bangalore (initially in Kochi)

Role Summary :

We are looking for a hands-on AI / ML Engineer to design, build, and deploy production-grade machine learning systems. The role requires strong experience in both model development and MLOps practices, ensuring that ML solutions are scalable, maintainable, and performance optimized.

Key Responsibilities :

  • Design and implement ML models for classification, regression, clustering, Recommendation System, Anomaly Detection, Neural Networks, NLP, Comp Vision Models
  • Package models and deploy them into production environments using CI / CD workflows
  • Develop and manage ML pipelines for data preprocessing, training, testing, and serving
  • Monitor model performance in production (latency, drift, accuracy) and retrain when needed
  • Collaborate with data engineers, MLOps engineers, and DevOps to ensure smooth deployments
  • Support versioning of models, datasets, and configurations
  • Participate in performance tuning, experiment tracking, and governance enforcement

Must-Have Skills :

  • Strong programming skills in Python, with experience in Scikit-learn, XGBoost, or TensorFlow / PyTorch
  • Experience building and deploying models using Flask, FastAPI, or Streamlit
  • Solid Grasp Of MLOps Concepts
  • CI / CD for ML (GitHub Actions, Azure DevOps, etc.)
  • Model versioning and registry (MLflow, SageMaker, Vertex AI, etc.)
  • Data versioning (DVC, LakeFS)
  • Monitoring and retraining workflows
  • Comfortable working with containerization (Docker) and deployment on cloud platforms (AWS, Azure, or GCP)
  • Good understanding of model explainability, fairness, and data privacy
  • Nice To Have :

  • Familiarity with Airflow, Kubeflow, or Prefect for orchestration
  • Exposure to feature stores and drift detection tools
  • Experience with NLP (LLMs, Transformers) or time series forecasting
  • Understanding of model caching, load testing, and API security for ML services
  • Domain Knowledge in Financial Services (especially Capital Markets)
  • (ref : hirist.tech)

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