ML Engineer - Python, AWS and Docker/ Kubernetes

Requirements -

· 3-5 years of experience as AI/ML engineer or similar role

· Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

· Python

· AWS and Docker/ Kubernetes

· Hands-on experience with model development and deployment processes

Basic Requirements & Experience Expectations:

Bachelors degree in computer science, Information Technology, or related

field.

3-5 years of experience as AI/ML engineer or similar role.

Strong knowledge of machine learning frameworks (e.g., TensorFlow,

PyTorch, Scikit-learn).

Hands-on experience with model development and deployment processes.

Proficiency in programming languages such as Python.

Experience with data preprocessing, feature engineering, and model

evaluation techniques.

Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker,

Kubernetes).

Familiarity with version control systems (e.g., GitHub).

Excellent problem-solving skills and attention to detail.

Strong communication skills and the ability to work collaboratively in a team

environment.

Proficiency in data manipulation and analysis using libraries such as NumPy

and Pandas.

Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow,

Nextflow.