Creative Financial Staffing

Demonstrate proficiency in SQL, preferably with experience in Snowflake, for data manipulation and analysis.. Strong SQL skills, ideally with experience in Snowflake.. Proficiency in Spark/Databricks for big data processing.. Familiarity with OpenAI / LLM models for natural language processing tasks.. Experience with CICD tools such as Azure DevOps, Jenkins, GitHub, or similar platforms.

engineer

Senior Machine Learning EngineerJob Description:This role will be pivotal in supporting the implementation of new ML/AI initiatives and pilot projects within our corporate Data Science team. As a Senior Cloud Data Platform ML Engineer, you will play a critical role in building, deploying, and supporting end-to-end ML pipelines. This position requires strong engineering expertise with a focus on utilizing CICD tools and cloud services.Responsibilities: Design, develop, and deploy end-to-end ML pipelines to support various ML/AI initiatives and pilot projects.Collaborate with cross-functional teams to define and implement best practices for ML pipeline development and deployment.Utilize Python, Spark, and other relevant technologies to build scalable and efficient ML solutions.Work closely with the Data Science team to understand business requirements and translate them into technical solutions.Utilize common ML frameworks and algorithms to develop predictive models and analytics solutions.Demonstrate proficiency in SQL, preferably with experience in Snowflake, for data manipulation and analysis.Lead efforts in containerized environments to ensure scalability and efficiency of ML solutions.Stay updated with the latest advancements in ML/AI technologies and incorporate them into existing projects where applicable.Provide technical leadership and mentorship to junior team members.Communicate effectively with stakeholders, including presenting findings and recommendations to both technical and non-technical audiences. Must-Haves: 2-3 years of experience building, deploying, and supporting end-to-end ML pipelines.Minimum of 3 years of experience with Python.Good understanding of common ML frameworks and algorithms.Strong SQL skills, ideally with experience in Snowflake. Desired: Experience with containerized environments and solving scalability issues.Proficiency in Spark/Databricks for big data processing.Familiarity with OpenAI / LLM models for natural language processing tasks.Experience with CICD tools such as Azure DevOps, Jenkins, GitHub, or similar platforms. This role offers an exciting opportunity to work on cutting-edge ML/AI initiatives within a dynamic and collaborative environment. The ideal candidate will possess a combination of technical expertise, strong communication skills, and a passion for innovation in the healthcare industry. If you are a self-motivated individual with a desire to make a significant impact, we encourage you to apply for this position.

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