Data Engineer-Data Scientist - MLOps & Machine Learning

Data Engineer / Data Scientist - MLOps & Machine LearningOverviewSeeking a highly analytical and hands-on Data Engineer / Data Scientist with strong MLOps experience in Databricks environments. This role requires a strong foundation in machine learning theory, model development, and large-scale cloud-based data platforms. The ideal candidate should be comfortable working across engineering and data science teams while supporting end-to-end ML workflows in production environments.Must Haves5+ years of hands-on experience as a Data Engineer or Data Scientist in large-scale, cloud-based data environmentsStrong experience building or supporting MLOps workflows in DatabricksHands-on experience with MLflow, including experiment tracking, model registry, and deployment workflowsStrong understanding of machine learning fundamentals and model lifecycle managementSolid data science foundation with understanding of ML theory, mathematics, and statistical conceptsExperience building, training, validating, and deploying machine learning modelsAbility to explain model selection decisions and ML approaches clearlyStrong collaboration and communication skills with the ability to work well across cross-functional teamsStrong personality fit and ability to work effectively in team-oriented environmentsWillingness to work onsiteResponsibilitiesDesign, build, and support scalable machine learning and data workflows in cloud environmentsDevelop and maintain MLOps pipelines using Databricks and MLflowTrack, manage, and deploy machine learning models across environmentsWork closely with data scientists, engineers, and business stakeholders to deliver ML-driven solutionsAnalyze large datasets and apply machine learning techniques to solve business problemsSupport model monitoring, optimization, and continuous improvement initiativesCollaborate on architecture, best practices, and scalable ML engineering standardsInterested candidates may submit their resumes online or call at 310-906-4780 for further information regarding the position.Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.If you would like to complete our voluntary self-identification form, please click here or copy and paste the following link into an open window in your browser: https://jobs.beaconhillstaffing.com/eeoc/Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records.Company Profile:Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting www.bhsg.com.Benefits Information:Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.We look forward to working with you.Beacon Hill. Employing the Future™