Look4IT
11 - 50 employees
Founded 2012
🎯 Recruiter
☁️ SaaS
Recruitment • IT • SaaS
Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.
Databricks ML Engineer
🕒 March 6
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Look4IT
11 - 50 employees
Founded 2012
🎯 Recruiter
☁️ SaaS
Recruitment • IT • SaaS
Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.
📋 Description
• Design and implement end-to-end MLOps frameworks on Azure Databricks for standardized model lifecycle management. • Architect secure, scalable, and cost-efficient ML platform to support ML model development, deployment, and monitoring. • Collaborate with data scientists, ML engineers, and data engineers to streamline workflows from experimentation to production. • Keep up with the latest updates in Databricks, MLOps tooling, and Azure technologies.
🎯 Requirements
• Proficiency in Python (3+ years) for ML models development and automation. • Deep expertise in the Databricks platform (Unity Catalog, Feature Store, MLflow, Declarative Automation Bundles). • Solid understanding of MLOps practices e.g.: experiment tracking, model registry, deployment patterns and A/B testing. • Experience with Spark/PySpark and distributed data processing on Databricks. • Nice to have: Exposure to LLMOps and operationalizing large language models (LLMs), including RAG architectures, vector databases, and Databricks Mosaic AI. • Familiarity with Azure AI Services (Azure OpenAI, AI Search, Document Intelligence). • Soft skills: Analytical Thinking - ability to interpret data, identify trends, and provide actionable insights to drive business decisions. • Problem-Solving Skills - proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy. • Effective Communication - ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration. • Attention to Detail - meticulous in data validation, report generation, and ensuring data quality across BI platforms. • Team Collaboration - strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders. • Adaptability and Continuous Learning - open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.
🏖️ Benefits
• Flexible working hours. • Private medical care (Medicover) or Multisport card - your choice. • Modern, spacious office designed for collaboration and focus. • Unlimited access to Microsoft/Snowflake technology. • Work from anywhere - home, a coffee shop, or wherever you're most productive.
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