Job Description
- Top 3 Skills: 5+ years of machine learning experience with a heavy emphasis on the infrastructure side
- Need to be able to set up CI/CD pipelines for AI/ML workloads
- Any certifications in the AI/ML space are helpful
Job Description:
The Machine Learning Engineer will design, develop, and maintain the productionization of machine learning, deep learning, generative AI, large language models, simulation, and optimization algorithms. This includes building pipelines for training and deploying deep learning and other machine learning algorithms and enabling models to run efficiently in production. The main data engineering work will be done in Databricks and PySpark.
Required Qualifications
- 5 years of machine learning engineering, software engineering, or data science experience.
- Bachelors in a quantitative field of study.
Preferred Qualifications
- Masters in a quantitative field of study.
- Experience with the Azure, AWS, or other cloud ecosystems.
- Experience in building secure data processing pipelines.
- Proficient in utilizing data lakes, CI/CD pipelines, Databricks, Unity Catalog, and Git.
- Experience working with streaming.
- Expertise in building machine learning solutions using cloud data services.
- Exceptional skills in data processing languages such as SQL, Python, or Scala.
- Exceptional skills in feature engineering, model optimization, and parameter tuning.
Thanks
Lalit