Educational Requirements

- BTech

- BCA

- BSc

- MCA

- MTech

- MSc

Service Line

Data Analytics Unit

Responsibilities

- 35 years of experience in Python development for data/ML applications.

- Solid 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.

Additional Responsibilities

- 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.

Technical and Professional Requirements

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

Preferred Skills

- Technology- >AI-Data science- >PYTHON

- Technology- >AI-Physical AI-IOT- >IOT Analytics - Machine Learning

📌 Python-ML-MLOps Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru