Senior Software Engineer (Python + ML OPS)

Join the Prodapt team in supporting a unified, scalable, and secure Jupyter-based environment for data science and machine learning. You will help build, maintain, and optimize the platform that empowers analysts, engineers, and scientists to explore data, develop models, and collaborate at scale.

• Overall experience of 5 years with proven track record of 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 platforms 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.