Employment Type : Full-Time
THE ROLE This role uses your abilities in cloud development, automation, DevOps, MLOps, data engineering, and streamlining IT infrastructure processes for organizations in healthcare, life sciences, manufacturing, energy, and other industries. SFL Scientific is a US-based data science professional services firm focused on strategy, technology, and solving business & operational challenges with Artificial Intelligence. Working with clients of all sizes, industries, and AI maturity levels, our capabilities range from developing corporate AI strategy to building custom AI applications at scale. With a globally connected network of technology and cloud partners, SFL Scientific’s core services include leading cross-functional efforts across business, IT, and operations. We are platform agnostic and are committed to providing the best technical solutions for each client and solution. Join us to expand your technical career through consulting and professional services; opportunities to develop data science and AI skills are available. Notice: Remote is available due to COVID-19 restrictions. RESPONSIBILITIES - Work with organizations to design, develop, and deploy new architectures for machine learning and automation applications such as ETL functions, HPC/compute infrastructure, AWS/Azure hybrid solutions, database management, and optimization of DevOps procedures. - Leverage advanced skills in modern data architecture, data science engineering, data transformation, management of structured and unstructured data sources using cloud computing or on-prem technologies. - Support and enhance data architecture, data pipelines, and define database schemas (Graph DB, SQL, NoSQL) to develop algorithm scalability and deployment. - Collaborate with data engineers, data scientists, and business leaders to implement data science engineering solutions based on agile business priorities and technology initiatives. - Participate in architectural discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud or on-prem. - Keep up to date with the latest, best practices in automation, HPC, CI/CD, AIOps, and big data solutions QUALIFICATIONS - Master’s degree in a STEM field or related quantitative field, or equivalent experience. BENEFITS GROWTH **A MESSAGE ON COVID-19** Job Type: Full-time Pay: $100,000.00 - $135,000.00 per year Benefits: Schedule: Supplemental Pay: Ability to Commute/Relocate: Education: Work Location: Company's website: Work Remotely: COVID-19 Precaution(s):
SFL Scientific is looking for a Senior Data Engineer to join our data science team and support our AI consulting practice. The role is to design and develop solutions for various organizations looking to implement tools, software, and processes that leverage emerging machine learning and AI technologies.
- Proficient in various services and capabilities of computing platforms (AWS/Azure/GCP) with AWS/Azure certifications.
- Expertise with AWS such as IAM, EC2, EBS, ELB, RDS, S3, Redshift, Lambda, etc.
- Experience managing and supporting Docker, Kubernetes, Spark, Dask, Flask, CI/CD services.
- Database and data warehousing experience, relational and NoSQL databases
- Experience with provisioning and configuration management tools; Puppet, Ansible, Chef, Terraform, Jenkins, etc.
- Previous experience in data engineering, software engineering, MLOps, data science or research
- Strong verbal and written communication skills and demonstrated ability to work with outside firms as a technical leader.
Base salary, performance bonus/compensation, medical coverage, 401k plan, paid time off (vacation, personal/sick, parental, etc.), flexible work-schedule, on-going industry training, and other company-wide perks.
This person will have a complete view of a growing consulting firm in a novel, technical field, working in a highly collaborative and responsive environment with high-profile Fortune 100 clients and partners. The candidate has the opportunity to shape how the data science team functions within SFL Scientific as the company expands based on client performance, project delivery, and technical solution development. This is an opportunity for a talented data scientist to grow into a manager role, develop professionally, and help develop a cohesive team of engineers, consultants, and scientists to support AI development and services efforts.
Our priority is to safeguard the health and well-being of our team members, our families, and our communities. During this rapidly changing environment, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from employees to help inform our return-to-office strategy and best accommodate working conditions individually. We are looking forward to meeting in the office when things return to normal and there safe conditions for everyone involved.