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- Tasks: Architect production-level ML workloads and provide advanced technical support to customers.
- Company: Join Databricks, a leading data and AI company trusted by top organisations worldwide.
- Benefits: Comprehensive benefits, competitive salary, and opportunities for professional growth.
- Why this job: Be a technical expert in ML and GenAI, making a real impact on innovative projects.
- Qualifications: 5+ years in a customer-facing technical role with strong Data Science/ML skills.
- Other info: Dynamic work environment with a focus on collaboration and lifelong learning.
The predicted salary is between 43200 - 72000 £ per year.
As a Specialist Solutions Architect (SSA) - ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.
What you will do:
- Architect production-level ML workloads for customers using our unified platform, including end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services and MLOps.
- Provide advanced technical support to Solution Engineers during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, and participating in the larger ML SME community in Databricks.
- Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings.
- Build and increase customer data science workloads and apply the best MLOps to productionise these workloads across a variety of domains.
- Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring.
What we look for:
- 5+ years of experience in a customer-facing technical role. Pre-sales or post-sales experience working with external clients across a variety of industry markets.
- Data Science/ML Skills.
- 5+ years of hands-on industry ML experience in at least one of the following:
- ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
- Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Sparkâ„¢, Delta Lake and MLflow.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
Specialist Solutions Architect - DS/ML/AI/GenAI with Big Data in London employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Specialist Solutions Architect - DS/ML/AI/GenAI with Big Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and AI. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. We recommend doing mock interviews with friends or using online platforms. The more you practise, the more confident you'll feel when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Specialist Solutions Architect - DS/ML/AI/GenAI with Big Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Specialist Solutions Architect. Highlight your experience with ML, AI, and Big Data, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about ML and how your background makes you a perfect fit for our team. Be sure to connect your experiences with what we’re looking for in the job description.
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of your work with cloud platforms, MLOps, and any tools like Apache Spark or HuggingFace. This will help us understand your hands-on experience and how you can contribute to our projects.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our awesome team at Databricks!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML technologies, especially those mentioned in the job description like GenAI and LLMOps. Brush up on your experience with Apache Spark and be ready to discuss how you've applied these tools in real-world scenarios.
✨Showcase Your Customer-Facing Skills
Since this role involves a lot of interaction with clients, prepare examples that highlight your experience in customer-facing roles. Think about times when you’ve successfully communicated complex technical concepts to non-technical audiences and how you’ve built trust with clients.
✨Prepare for Technical Scenarios
Expect to tackle technical questions or case studies during the interview. Practice explaining how you would architect production-grade ML applications and optimise ML pipelines. Being able to articulate your thought process clearly will set you apart.
✨Demonstrate Your Passion for Collaboration
This role values collaboration and mentorship. Be ready to share experiences where you’ve worked closely with teams or mentored others. Highlight your enthusiasm for continuous learning and how you stay updated with industry trends.
