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Machine Learning Engineer (Remote, Costa Rica-based)

  • Anywhere

Job Overview:

Invitro Capital is seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will work closely with our Data Science and Engineering teams to identify opportunities for leveraging data-driven insights and develop scalable and efficient solutions. This is a unique opportunity to contribute to the success of our portfolio companies and shape the future of AI-driven innovation.

Working Hours are from Monday’s to Friday’s, Pacific Time Zone.

Machine Learning Engineer, Responsibilities:

  • Design, develop, and deploy machine learning models and algorithms that drive actionable insights and business value.
  • Collaborate with cross-functional teams to understand business requirements and develop innovative solutions.
  • Apply advanced statistical and machine learning techniques to analyze large datasets and extract meaningful patterns.
  • Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
  • Build efficient data pipelines for data preprocessing, feature engineering, and model training.
  • Stay current with the latest trends and advancements in machine learning and AI technologies.

Requirements

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience as a Machine Learning Engineer or similar role.
  • Strong programming skills in Python and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of machine learning algorithms and techniques.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Proficiency in data manipulation and analysis using SQL and Pandas.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Master’s degree or higher in Computer Science, Engineering, or a related field.
  • Experience with distributed computing frameworks (e.g., Spark).
  • Understanding of natural language processing (NLP) and computer vision techniques.
  • Knowledge of cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform).
  • Experience with model deployment and serving using containerization technologies (e.g., Docker, Kubernetes).

Benefits

Why Join Invitro Capital?

  • Work on cutting-edge AI and B2B technologies: We are at the forefront of AI and B2B innovation. Our employees have the opportunity to work on the latest and greatest technologies, and to make a real impact on the world.
  • Help build and grow successful startups: We are committed to helping our portfolio companies succeed. Our employees play a vital role in building and growing these companies.
  • Work with some of the best minds in the industry: You will be part of a team of highly motivated and talented people who are passionate about making a difference. You will have the chance to learn from some of the best minds in the industry.
  • Supportive and collaborative work environment: We believe in creating a supportive and collaborative work environment where our employees can thrive.
  • Competitive compensation: We offer a competitive compensation package, with salaries ranging from [$2,500 to $3,000 monthly], payable in USD.
Invitro Capital
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