Build, train, and evaluate ML models (classification, regression, NLP) Work on data cleaning, preprocessing, feature engineering, and experiment tracking. Support testing, deployment, and documentation of AI/ML solutions in cloud environments (OCI/AWS/Azure/GCP). Collaborate with cross‑functional teams in VCI on front‑end development, architecture, security, and cloud services. Contribute to building reproducible ML workflows, versioning, and CI/CD pipelines. 3+ years of experience in software or cloud product development. Hands‑on ML development experience (modeling, experimentation). Strong proficiency in Python, NumPy, Pandas, scikit‑learn. Exposure to TensorFlow or PyTorch. Experience working with databases (PostgreSQL/MySQL). Understanding of MLOps, deployment pipelines, monitoring, versioning. Ability to write technical documentation (HLD/LLD, model cards, logs). Knowledge of DevOps & IaC tools (Terraform/Ansible). Containerization (Docker) and basic Kubernetes experience. Familiarity with event‑driven and cloud‑native architectures. Bachelor's degree in Computer Science or a related field
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