Key Responsibilities:

- Required Skills Qualifications
- 3 5 years of experience in Python development for data ML applications
- Robust 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

Technical Requirements:

- Primary skills Technology Internet of Things IOT IOT Analytics Machine Learning Technology Machine Learning Python

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

Preferred Skills:

Technology->AI-Data science->PYTHON,Technology->AI-Physical AI-IOT->IOT Analytics - Machine Learning

Skills: Docker, Spark, Kubernetes, Flask, Tensorflow, Gcp, Rest Apis, FastAPI, Scikit Learn, Pytorch, Sql, Nosql, MLops, XGBoost, Azure, Airflow, Aws, Python, Hadoop

Experience: 3.00-5.00 Years

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