
AI/ML Engineer/Sr Engineer/Lead
6 days ago
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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