Вакансия Machine Learning Engineer (Part-Time, On-Demand Engagement)

Skills

• Machine learning
• Python
• TensorFlow
• PyTorch
• scikit-learn
• AWS
• GCP
• Microsoft Azure
• CI/CD
• NLP
• Apache Spark
• Hadoop
• Docker
• Kubernetes

Описание вакансии

We are looking for a Machine Learning Engineer to join our team on a part-time, on-demand basis. This flexible role is ideal for a seasoned ML professional who wants to work on exciting projects and apply their expertise in designing, implementing, and optimizing machine learning solutions as needed.

What you’ll be doing:

• Develop, train, and optimize machine learning models for specific business requirements.
• Collaborate with stakeholders to define project goals and deliverables.
• Analyze data, perform feature engineering, and prepare datasets for model development.
• Evaluate and fine-tune existing models to improve performance and scalability.
• Deploy and integrate ML models into production systems.
• Stay up-to-date with the latest ML advancements and suggest innovative solutions.
• Provide technical consultation and recommendations on ML-related challenges.

What you’ll need:

• 5+ years of experience as a Machine Learning Engineer or Data Scientist.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Experience with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment.
• Familiarity with MLOps practices, including CI/CD pipelines for ML models.
• Solid understanding of statistics, linear algebra, and machine learning algorithms.
• Ability to work independently and communicate effectively with teams.

Nice-to-Have Skills:

• Experience with Computer Vision, NLP, or Reinforcement Learning.
• Knowledge of big data tools like Apache Spark or Hadoop.
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Background in working with startups or fast-paced environments.