Senior Engineer - AI

79509 Gen AI Engineer Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.

Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.

Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.

with feature engineering, data preprocessing techniques, and ML data pipelines.

Knowledge of vector databases, embeddings, and similarity search for AI applications.

Proficiency in SQL for structured and unstructured data management.

Understanding of data governance, model governance, and AI ethics principles.

Strong analytical and problem-solving capabilities with attention to data quality.

Excellent collaboration skills for working with data scientists, ML engineers, and architects.

Company profile Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions.

We are practitioners of end-to-end business and technology transformation.

We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries.

Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”.

We’re a technology company that lives organizations a process and context to solve problems in unconventional ways.

We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches.

We make delivery more bold, efficient, collaborative and even more enjoyable.

5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.

Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.

Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.

Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.

with feature engineering, data preprocessing techniques, and ML data pipelines.

Knowledge of vector databases, embeddings, and similarity search for AI applications.

Proficiency in SQL for structured and unstructured data management.

Understanding of data governance, model governance, and AI ethics principles.

Strong analytical and problem-solving capabilities with attention to data quality.

Excellent collaboration skills for working with data scientists, ML engineers, and architects.

Bachelor's degree in Computer Science or equivalent experience