InVitro Capital

Senior Machine Learning Engineer

Job description

Job Overview:


Invitro Capital is seeking a highly skilled and motivated Senior 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:


  • Develop and deploy machine learning models using TensorFlow, PyTorch, and scikit-learn.
  • Integrate computer vision techniques with OpenCV and deep learning frameworks.
  • Collaborate with cross-functional teams to translate business requirements into solutions using agile tools like Jira.
  • Analyze large datasets with Hadoop and Spark to extract meaningful patterns.
  • Optimize models for performance and scalability using cross-validation and hyperparameter tuning.
  • Maintain data pipelines with Apache Airflow and ETL processes.
  • Stay updated on machine learning trends and continuously improve models.
  • Mentor junior team members and use Git for version control.


Minimum Qualifications:


  • 5+ years of experience as a Machine Learning Engineer or similar role, with a focus on integration and computer vision.
  • Proven experience in leading and managing a team, including overseeing project timelines and deliverables.
  • 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 NLP and computer vision techniques.
  • Knowledge of cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform).
  • Experience with model deployment using Docker and 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 SME market.
  • 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. This is not a 9 to 5 job. This is a startup environment with a give-it-all mentality.
  • Work with some of the best minds in the industry: You will be part of a team of seasoned entrepreneurs and product leaders who are on a mission to make a difference in the SME space. You will have the chance to work with 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 [$3,500 to $5,500 monthly], payable in USD.

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