
Staff Data Scientist
Posted May 19

Posted May 19
This is a fully remote position, open to applicants in India.
• Design, develop, and enhance machine learning systems.
• Engage in the entire lifecycle of machine learning applications, from research and prototyping to production.
• Collaborate with product managers, designers, and clients to establish the vision and strategy for specific products.
• A versatile AI engineer capable of navigating both domains with minimal assistance.
• Familiarity with the typical lifecycle of machine learning product development, from conception to deployment.
• Prior experience in creating and deploying applications based on Generative AI.
• Knowledge of LangChain and LangGraph is advantageous.
• Experience in constructing microservices; familiarity with Golang is a bonus.
• Proficient programming skills in at least one object-oriented language (Java, Scala, C++, Python, Golang, etc.).
• Significant experience in building and managing infrastructure for deploying and operating ML models in a production environment.
• Experience working with distributed data processing frameworks like Spark; knowledge of Spark's MLlib, AWS, Databricks, and MLFlow is a plus.
• A solid understanding of statistics and machine learning, with practical experience in applying these concepts to real-world challenges.
• Hands-on approach with a willingness to rapidly learn new tools and languages, coupled with enthusiasm for building and experimenting.
• A commitment to supporting your team beyond expectations.
• Ability to collaborate effectively with seasoned engineers, designers, and product managers to deliver innovative customer-facing features and products.
• A degree in Computer Science, Data Science, or a related field, along with 7-10 years of industry experience or equivalent.
• We are an equal opportunity employer. All applicants will be evaluated for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
• Our success hinges on assembling teams that encompass diverse backgrounds and experiences, which can enhance ideas and assumptions with new perspectives. We are committed to hiring the whole person, not just a resume. Therefore, we actively seek a diverse range of candidates, including those from historically marginalized groups. We encourage you to apply even if you do not meet all the listed requirements; we believe that a few lines in a job description should not hinder the opportunity to connect with you.
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