AI/ML Engineer
1 week ago
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)
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