Machine Learning Engineer II

- Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and a few real-time data pipelines on the Cloud. - Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team - Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments - Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications - Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems. - Participate in code reviews to assess overall code quality and flexibility. - Define, develop and maintain artifacts like technical design or partner documentation - Maintain, monitor, support and improve our solutions and systems with a focus on service excellence **Minimum Qualifications:** - A degree in software engineering, computer science, informatics, or a similar field. - 3+ years of professional experience with a Bachelors degree, or 2+ years with a Masters degree. - Must have experience in big data technologies, particularly Spark, Hive, and Databricks. - Proficiency in Python and experience developing and deploying Batch and Real-Time Inferencing applications. **Preferred Qualifications:** - Experience programming in Scala. - Hands-on experience with OOAD, design patterns, SQL, and NoSQL. - A good understanding of machine learning pipelines and the ML Lifecycle. - Experience using cloud services (eg, AWS) and workflow orchestration tools (eg, Airflow). - Familiarity with the basics of both traditional Machine Learning and Generative-AI algorithms and tools. Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.