AI/ML Engineer/Sr Engineer/Lead

4 weeks ago

India Cochin Kochi Ernakulam Velodata Global Pvt Ltd Full time

Job Description

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

oCI/CD for ML (GitHub Actions, Azure DevOps, etc.)

oModel versioning and registry (MLflow, SageMaker, Vertex AI, etc.)

oData versioning (DVC, LakeFS)

oMonitoring 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)

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