Specialist Solutions Architect - GenAI / ML Engineer
Paris, France
Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.(FEQ125R111)
Mission
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. Join us in our quest to change how people work with data and make a better world!
As a Specialist Solutions Architect (GenAI / ML Engineer), you will guide customers in building big data solutions on Databricks that span a large variety of machine learning and LLM use cases.You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with MLFlow™ and expertise in other MLOps technologies.
As a go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of speciality - whether that be machine learning, LLM, MLOps, industry expertise, or more.
The impact you will have:
- Help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform.
- Provide technical leadership to guide strategic customers to successful implementations on big data projects
- Architect production-level workloads, including end-to-end ML pipelines load performance testing and optimization
- Become a technical expert in Databricks Machine Learning and MLOps technologies
- Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
- Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
- Contribute to the adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community
What we look for:
- Experience in a pre-sales or post-sales technical role with expertise in at least one of the following areas:
- Data Scientist / GenerativeAI / ML Engineering: model selection, model lifecycle, model scaling, AutoML, hyperparameter tuning, model serving, model monitoring, deep learning.
- MLOps Engineer: Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms, monitors data drift, and integration with production systems.
- Extensive experience in applying Data Science / GenAI / ML in production to build data-driven products for solving business problems.
- Maintain and extend production data systems to evolve with complex customer needs.
- Technical expertise regarding ML concepts including Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow
- Professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and production programming experience in SQL and Python, Scala, or Java.
- Fluent in French
Benefits
- Private medical insurance
- Private life and disability coverage
- Pension Plan
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — 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 Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Databricks Deep Learning Engineering Excel Generative AI Hadoop Java Kafka LLMs Machine Learning MLFlow ML models MLOps Pipelines Python Scala Spark SQL Testing
Perks/benefits: Career development Fitness / gym Health care Insurance Salary bonus Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs