Senior Machine Learning Engineer (Databricks)

About the company

Hiflylabs is a Budapest-based company. We have 200+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

Responsibilities

• Deliver independently Machine Learning Engineering projects using Databricks, leveraging its Unified Analytics Platform
• Engage directly with clients to understand their business objectives and translate them into technical requirements.
• Collaborate with cross-functional teams to integrate AI/ML solutions into the company's product offerings.
• Provide thought leadership within the team, fostering a culture of continuous learning and innovation.
• Stay abreast of industry trends and advancements in AI/ML to ensure our solutions remain cutting-edge.

General qualifications

• 7+ years relevant data science / machine learning engineering experience.
• Hands-on experience in Databricks, Python, Spark, SQL.
• Fluent English speaker with excellent communication skills, comfortable in client-facing roles.
• Bachelor's or Master's degree preferably in Computer Science, Software Engineering, Data Science, Information Technology or a related field.
• Hands-on experience with generative AI/LLM projects.
• Affinity to building product / product-oriented vision

Technical requirements

• Strong Python and SQL skills
• Databricks Platform knowledge: Delta Lake, Notebooks, Workflows, Connect, MLFlow
• Knowledge of at least one of the cloud platforms (Azure / AWS / GCP), with a preference for experience in Azure Databricks.
• Knowledge of data modeling, schema design, data warehousing concepts.
• Strong understanding of machine learning algorithms and techniques.
• Relevant knowledge about data pipelines using a variety of source and target platforms (eg: Databricks, SQL databases, big data stores, NoSQL)
• Manage and optimize Databricks clusters for performance and cost efficiency
• Version control: Github / BitBucket / Azure DevOps

Nice to have

• Knowledge of stream processing, API handling, message queuing
• ML Lifecycle management (e.g.: MLFlow / wandb)
• Python based web frameworks (e.g.: Streamlit / FastAPI / Flask)
• Automatization pipelines on cloud (e.g.: Azure Functions, AWS Lambda, Databricks notebook jobs)

Why us?

• Diverse projects: In each assignment there is always something new either on the technical or on the business side that helps you grow.
• Cutting edge technology: You will work with many of the most up-to-date technologies and tools.
• Strong and motivating team: We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal.
• Work-life balance: We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities.
• Professional development: There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions.
• Focus on company culture: In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another.
• Personal mentoring: You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.