Lead Engineer (Python +ML OPS)

Job Description

Overview Join the Prodapt team in building a unified, cloud-native environment for scalable machine learning training and experimentation. You will help design, develop, and optimize robust workflows that empower data scientists and engineers to efficiently explore, train, and validate ML models at scale. Responsibilities Overall experience of 10+ years with proven track recordof over-achieving engineering, platform delivery and scaling targets in highvolume, innovativeand fast-paced high-pressure?environment; proven results in delivery on platform products. Solid proficiency in programming languages such as Python, Go and Java Experience with cloud platforms (e.g., GCP, AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes) Experience with Vertex AI, Jupyter Notebook, Airflow, Kubeflow, Argo, GPU and HPC. Knowledge of GPU optimization and libraries is plus. Experience building ML infrastructure or MLOps platforms and Bigdata platforms technologies such as Hadoop, BigQuery, Spark, Hive and HDFS. Experience in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models using various ML frameworks such as pytorch, tensorflow, scikit-learn, etc. Experience in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models using various ML frameworks such as pytorch, tensorflow, scikit-learn, etc. Stayup-to-datewith the latest advancements in AI/ML technology and industrytrends andleverage this knowledge to enhance the platform's capabilities. Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.