Artificial Intelligence Engineer

2 weeks ago

Kochi, India Velodata Global Pvt Ltd Full time

About the job :AI/ML Engineer/Sr Engineer/LeadLocation : 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 enforcementMust-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 :1. CI/CD for ML (GitHub Actions, Azure DevOps, etc.)2. Model versioning and registry (MLflow, SageMaker, Vertex AI, etc.)3. Data versioning (DVC, LakeFS)4. 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 privacyNice 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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