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).
Solid 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 Skilled 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 (India)
🏢 Infosys
📍 India