Machine Learning Engineer

Job Title: Machine Learning Engineer

Job Type: Full-time or Part-Time

Location: Remote

Job Summary:

Join our customer’s team as a Machine Learning Engineer and play a crucial role in designing, developing, and deploying advanced ML solutions that drive business impact. You will collaborate with cross-functional teams, leveraging your expertise to solve complex problems and shape innovative products. This is an exciting opportunity for a detail-oriented engineer who values both technical excellence and effective communication.

Key Responsibilities:

- Develop, implement, and optimize machine learning models that address real-world challenges.

- Collaborate with data scientists, product managers, and engineers to integrate ML solutions into production environments.

- Analyze large datasets to extract actionable insights and inform decision-making.

- Conduct rigorous experiments, evaluate model performance, and iterate on solutions.

- Maintain clear and thorough documentation of methodologies, results, and best practices.

- Ensure model scalability, reliability, and security in deployment.

- Communicate findings, project updates, and complex technical concepts to both technical and non-technical stakeholders.

Required Skills and Qualifications:

- Proven experience in the development, deployment, and maintenance of machine learning models.

- Proficiency with ML frameworks such as TensorFlow, PyTorch, or similar.

- Strong programming skills in Python and familiarity with relevant libraries (e.g., scikit-learn, pandas, NumPy).

- Solid understanding of statistical analysis, data preprocessing, and feature engineering.

- Experience working with cloud platforms (AWS, GCP, or Azure) for ML deployment.

- Exceptional written and verbal communication skills, with a keen ability to articulate technical ideas clearly.

- Ability to work independently in a remote, distributed team environment.

Preferred Qualifications:

- Experience in deploying ML models to production at scale.

- Familiarity with MLOps tools and practices.

- Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field.

We are particularly interested in candidates who care deeply about high-quality communication and collaborative problem-solving, and who are passionate about advancing their skills within an innovative team environment dedicated to impactful machine learning solutions.