Python-ML-MLOps

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, Tensor Flow, Py Torch, 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.

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

Experience with cloud platforms (AWS, Azure, or GCP).
Hands-on with MLOps tools:

MLflow, Kubeflow, Airflow, Sage Maker, 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.

Education: MCA,MSc,MTech,BCA,BSc,BTech

• Preferred skills: Technology->AI-Data science->PYTHON,Technology->AI-Physical AI-IOT->IOT Analytics
• Machine Learning