Ai/ml

About the job

Key responsibilities

1. Develop and implement AI and machine learning solutions using Python and industry-standard software engineering practices.

1. Apply machine learning concepts such as supervised learning, unsupervised learning, model evaluation, and performance optimization.

1. Work with structured and unstructured data, ensuring data quality and effective feature engineering.

1. Utilize SQL for data analysis, querying, and data preparation activities.

1. Manage source code using Git and support development workflows with CI/CD practices.

1. Work with cloud platforms such as AWS, Azure, or Google Cloud Platform to deploy and manage AI applications.

1. Use containerization technologies such as Docker to build scalable and portable solutions.

1. Collaborate with cross-functional teams to design, test, and optimize AI/ML systems.

Skill(s) required

Artificial intelligence Artificial Intelligence Markup Language (AIML) Machine Learning Machine Learning Operations (MLOps)

Who can apply

Only those candidates can apply who

1. have minimum 3 years of experience

Other requirements

• Candidates should have completed a Bachelor of Engineering (B.E.) degree from a recognized university.

• Experience with distributed computing frameworks such as Spark and Ray.

• Familiarity with data engineering concepts, including ETL/ELT processes and workflow orchestration tools such as Airflow or Azure Data Factory (ADF).