We seek an independent and motivated Machine Learning Engineer to support data engineering, software development, machine learning, and generative AI experimentation. This role is ideal for professionals seeking cutting-edge, engaging work in an innovative environment. We love delivering fast and iterating quickly; we’re not perfectionists.

Location: 100% remote. Working hours are based on US Central Time Zone.

About the Company

Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across various technologies to meet our clients’ needs, driving innovation and efficiency.

Job Description

Responsibilities:

• Build and optimize data pipelines; perform data analysis.
• Quickly develop and deploy machine learning and generative AI models.
• Utilize Jupyter notebooks for rapid research and exploratory tasks.
• Develop full-stack applications (Next.js, React) and manage cloud infrastructure.
• Independently manage projects, proactively communicate, and rapidly adapt to
  feedback.

Qualifications:

• Degree in Computer Science, Data Science, or a related field.
• Strong proficiency in Python; familiarity with ML and generative AI concepts.
• Experience with front-end frameworks (Next.js, React) and cloud platforms (AWS, Azure, GCP).
• Familiarity with PyTorch, Pandas, NumPy, and SQL.
• Skilled in Git, documentation, and agile methodologies.
• Excellent communication skills and command of English.

Work Environment:

• Collaborate closely with a US-based team. Standard business hours, Central Time Zone.
• Occasional overtime based on project needs.
• Supportive team with opportunities for professional growth.

What we offer:

• Flexible working hours and remote work options
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The chance to work on impactful projects with a talented team
• Excellent compensation in USD
• Hardware and software setup