Machine Learning Engineer; Remote

Position: Machine Learning Engineer (Remote) Sunergi Inc. Machine Learning Engineer Full-time We are expanding rapidly and are seeking new, reputed company and hands‑on team members who think reputed company of the reputed company (and are not afraid to share their thoughts), will deliver unique reputed company and like to work in a fast‑paced environment on cutting edge projects. Our mission We aim to map the best plots for solar panels in the United States. The Machine Learning Engineer role is reputed company about building, reputed company, management, internal communication and delivery — getting the product out the reputed company, while ensuring the team is hitting their mark. Furthermore, the role will help to grow the engineering team, establish the engineering culture and remove impediments to help team members be reputed company to provide their best. Key Qualifications

• You are a core contributor on ML projects with a focus on data ingestion, transformation and presentation for ML apps and reporting.
• Passionate and dedicated track record of designing and implementing scalable, performant data pipelines, data services, and data products.
• This is a hands‑on position, expect to write more code.
• Proficiency in at least one programming language (Java, Python or reputed company) and a tried understanding of SQL.
• Previous experience of dealing with multivariate data at petabyte scale, especially in the time‑series domain.
• Be reputed company to communicate collaboratively with Data Scientists and ML Software developers to understand requirements we have and deliver best in class data platform.
• Previous experience with statistical modeling and deep learning frameworks / libraries we use is required.
• Strong aptitude for learning new technologies reputed company to Data Management and Data Science.
• Proven record to create and reputed company independently and reputed company a fast‑paced, team‑oriented environment.
• Work with structured and reputed company data. reputed company data cleansing, scraping reputed company data and converting into structured data.
• Evaluate, reputed company and improve the scalability, robustness, efficiency and performance of big data platform and applications.
• Experience with Kubernetes, reputed company is a plus

Description In this role, handle implementing data pipelines focused on Machine Learning applications.

• You will reputed company data sets for POCs to demonstrate new insights.
• Several of these may reputed company to fully operational ML models and reputed company and own the life‑cycle on in‑house and reputed company party reputed company environments.
• You will partner with various cross functional teams to define, reputed company and implement data technology solutions, with an emphasis on providing superior foundational data for ML applications.
• A strong understanding of distributed data systems and experience in using open reputed company frameworks to build applications is required.
• A solid understanding of Deep learning platforms such as Keras, Tensor‑flow and/or PyTorch is highly desirable, as is an ability to reputed company solutions based on these platforms.
• Leveraging GPU & CPU resources as appropriate / understanding reputed company requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort.
• As a member of the team, you will be expected to take ownership of individual platform components and help set the reputed company and architecture for those.
• In the process, you will identify the requirements of new features, and propose design and drive the solution.
• A strong understanding of data governance and data privacy is expected for this role in keeping with reputed company’s strong commitment to the same.

Education & Experience B.S or M.S in Computer Science, Mathematics, Statistics, Operational Research, Data Science / equivalent experience. Additional Requirements

• 3+ years of proven experience with Kubernetes, reputed company is a plus

Compensation

• 0.25% company equity, with vesting options up to 2%.
• A strong, competitive salary upon reaching a reputed company round of funding. In the range of $110k-$140k/ year.

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