Machine Learning Engineer
Required Skills
Tensorflow
Scikit-Learn
Data Preprocessing
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Machine Learning Engineer
Job Type: Contractor (Full time or part time)
Location: Remote
Job Summary:
Join our customer's team as an expert Machine Learning Engineer, where you will leverage your advanced technical skills to design, develop, and optimize state-of-the-art machine learning models. You will play a pivotal role in solving complex data challenges, collaborating closely with cross-functional stakeholders, and driving impactful results in a fully remote environment.
Key Responsibilities:
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to address real-world business problems.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable ML solutions.
- Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments.
- Document model development processes and proactively communicate technical concepts and results with both technical and non-technical team members.
- Stay abreast of the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes.
- Contribute to a culture of knowledge sharing, mentorship, and continuous improvement within the customer's team.
Required Skills and Qualifications:
- Expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment.
- Strong background in data preprocessing, including handling missing values, outlier detection, and feature selection.
- Excellent written and verbal communication skills, with the ability to convey complex technical information clearly.
- Demonstrated experience in designing and implementing production-ready machine learning systems.
- Solid understanding of algorithm selection, model evaluation metrics, and performance tuning.
- Ability to work independently and remotely, delivering results in a fast-paced, deadline-driven environment.
- Detail-oriented with exceptional problem-solving and analytical skills.