Remote ML & Data Engineer (India)

Description:

• The ML & Data Engineer will be part of the AI & Data Team and serve as a senior Data engineering expert and cross-departmental liaison within the company.
• This role is responsible for further developing the existing platform of both structured data Data Warehouse and vast unstructured data in Data Lake.
• Key tasks include setting new data pipelines, data crawlers, and transformations, monitoring the performance and cost-effectiveness of existing data jobs, as well as data integration and docking of Machine learning processes into the existing data landscape.
• The engineer will represent the Data team in multi-disciplinary projects and will be the go-to person for business teams regarding new data sources onboarding and data availability for products and customer enabling.
• This is a fully remote role based in India, requiring partial work hours aligned with EST or CST time zones in the US.

Requirements:

• A Bachelor’s degree in Computer Science, Machine Learning, or Artificial Intelligence is required.
• At least 5 years of work experience in Business Intelligence, Data analytics, Controlling, or similar analytical roles is necessary.
• Candidates must demonstrate aptitude for working with both structured and unstructured data and should not hesitate to troubleshoot failed ETL processes or API integrations.
• Robust Python literacy, especially for data handling, is a must.
• Skills with Spark or Typescript are considered a plus.
• Strong expertise in SQL is required and will be tested during the recruitment process.
• Candidates should be well-versed in cloud AWS services, particularly around different data handling services from the AWS suite.
• Hands-on experience with implementing and gearing APIs for data transfers is essential.
• A working knowledge of Machine learning, NLP, and Computer vision algorithms and solutions is required.
• Experience with Deep learning, GAI, and Data crawling automation is a plus.
• Outstanding data structure blueprinting skills are necessary.
• Candidates must have a strong ability to translate ideas between technical and non-technical audiences.
• Solid business acumen and experience working with non-technical stakeholders or E-commerce experience are strong advantages.
• A collaborative team spirit, eagerness for knowledge sharing, and curiosity for insights and root causes are essential.
• Candidates should be flexible, self-motivated, organized, and able to manage multiple projects simultaneously, sometimes against tight deadlines.

Benefits:

• The position offers the flexibility of a fully remote work environment.
• Employees will have the opportunity to work with cutting-edge technology in the live selling and e-commerce space.
• The role allows for collaboration with various stakeholders and departments, enhancing professional growth and networking.
• There is a focus on data democracy and literacy within the company, promoting a culture of learning and development.
• Employees will be part of a dynamic team that values knowledge sharing and innovative approaches to problem-solving.