Machine Learning Engineer

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: A Venture Studio Where Innovation Thrives!

InVitro Capital is a venture studio that creates, builds, and exits companies in the AI and B2B space. With a primary focus on Healthcare and SaaS, Invitro has developed a unique recipe to de-risk startup innovation and help aspiring exceptional entrepreneurs identify and capitalize on promising opportunities.

At InVitro, we believe that the best startups are built by teams with deep domain expertise and a passion for solving real-world problems. That's why we invest in and partner with entrepreneurs who have a proven track record of success and a vision for the future.

We provide our portfolio companies with the operational muscles and support they need to succeed, including:

• Seed funding.
• Access to our network of mentors and advisors.
• Expertise in tech, marketing, sales, and business development.
• Help with go-to-market strategy.
• We also have a unique approach to exits. Instead of waiting for a large tech company to come knocking, we actively work with our portfolio companies to develop and execute their own exit strategies. This allows us to maximize returns for our investors and give our entrepreneurs the freedom to pursue their next big idea