Senior MLOps Engineer - W2 (No C2C or 1099) - Hybrid in Fort Lauderdale, FL (Posted SAM)

RESPONSIBILITIES: Kforce has a client seeking a Senior MLOps Engineer in Fort Lauderdale, FL to join a high-performing team focused on building and scaling enterprise machine learning platforms. This role is responsible for designing, deploying, and optimizing production-grade ML infrastructure that enables data science teams to efficiently move models from experimentation to production. The ideal candidate has deep experience with Databricks, Apache Spark, Python, and CI/CD practices, along wi

REQUIRED SKILLS 7+ years of experience in Data Engineering or a related fieldProven experience leading, mentoring, or guiding data engineering teamsStrong experience building and maintaining enterprise data lakes and data warehousesHands-on experience with cloud platforms such as AWS, Azure, or Google Cloud PlatformAdvanced experience with Apache Spark and distributed data processing frameworksExperience with cloud storage and compute services, including solutions such as S3, Azure Blob Storage

We are seeking a highly skilled Data Scientist with deep AI expertise to join our team. You will leverage the Databricks Data Intelligence Platform to design, build, and deploy advanced machine learning models and AI-driven solutions. This role is ideal for a Python expert who thrives at the intersection of big data, distributed computing, and cutting-edge artificial intelligence.About the RoleThis role involves leveraging advanced machine learning models and AI-driven solutions to address compl

Hi, Greetings from DIA SOFTWARE SOLUTIONS LLC! We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position? Direct client Req:: Need Sr Databricks/Agentic AI ,Remote, TX PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM ! Job Description: The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platfo