Required Skills & Qualifications:
3-5 years of experience in Python development for data/ML applications.
Strong understanding of Machine Learning algorithms (supervised, unsupervised, NLP, etc.).
Hands-on experience with ML libraries/tools:
Scikit-learn, TensorFlow, PyTorch, XGBoost
Experience in building and managing ML pipelines.
Solid knowledge of MLOps concepts:
Model versioning (MLflow, DVC)
CI/CD pipelines
Model deployment & monitoring
Experience with REST APIs (FastAPI/Flask).
Strong knowledge of data structures, algorithms, and statistics.
Experience with SQL and NoSQL databases.

Experience with cloud platforms (AWS, Azure, or GCP).
Hands-on with MLOps tools:
MLflow, Kubeflow, Airflow, SageMaker, Vertex AI
Knowledge of Docker & Kubernetes.
Experience with big data tools (Spark, Hadoop).
NLP, Computer Vision, or Deep Learning specialization.
Familiarity with Data Engineering pipelines.

* Primary skills:Technology->Internet of Things (IOT)->IOT Analytics - Machine Learning,Technology->Machine Learning->Python