AI / ML Engineer

Project Role :AI / ML Engineer


Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills :Machine Learning Operations

Good to have skills :NA
Minimum 7.5 year(s) of experience is required

Educational Qualification :BE
Summary:As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and natural language processing to deliver impactful data-driven solutions.
Roles & Responsibilities:

Tracking of multiple models, experiments for auditing purpose

Collaborate with data scientists for hyper parameter tuning and features maintenance.

Model management and versioning

Work with infra team, data scientists, business in establishing artifact lineage, model registry, governance.

Assist in testing, automated deployment

A pipeline for triggering retraining to detect model drift or data drift, trigger retraining.

Working knowledge of AWS Lambda, Sagemaker, AWS Step Functions Professional & Technical Skills:

Must To Have Skills:Strong experience in Machine Learning Operations.

Must To Have Skills:Proficiency in Python and related libraries such as NumPy, Pandas, and Scikit-learn.

Must To Have Skills:Experience with deep learning, neural networks, chatbots, and natural language processing.

Creation of CI,CD Pipelines for ML algorithms, training, prediction pipelines

Work with business, data scientists to ensure value realization, ROI on operationalization of models

Containerization, packaging of ML models

Endpoint creation for prediction

Solid understanding of statistical analysis and machine learning algorithms.

Experience with programming languages such as Python, R, and Java.

Experience with machine learning frameworks such as TensorFlow, Keras, and PyTorch.

Experience with data visualization tools such as Tableau or Power BI.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Experience with software development methodologies such as Agile or Scrum. Additional Information:

The candidate should have a minimum of 3 years of experience in Machine Learning Operations.

The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.QualificationsBE