Machine Learning Engineer

Machine Learning Engineer — Remote

Job Type:
Full-Time

Location:
Remote — United States

Employment Type:
Full-Time

Work Authorization:
Candidates must be authorized to work in the United States

About the Role

We are looking for a talented and motivated
Machine Learning Engineer
to join our team in a fully remote position. The ideal candidate will have strong experience building, deploying, and maintaining machine learning models and data-driven solutions in production environments.
You will work closely with software engineers, data scientists, data engineers, and business stakeholders to develop scalable ML solutions that address real-world business problems.

Key Responsibilities

• Design, develop, train, and deploy machine learning models.

• Prepare, clean, and transform large datasets for machine learning applications.

• Develop scalable and reliable ML pipelines.

• Evaluate model performance and improve accuracy, efficiency, and scalability.

• Implement machine learning solutions in production environments.

• Collaborate with Data Scientists and Data Engineers on model development and deployment.

• Develop APIs and services to integrate ML models into applications.

• Monitor model performance and address model/data drift.

• Implement best practices for model versioning, testing, deployment, and monitoring.

• Work with cloud platforms to deploy and scale machine learning workloads.

• Document models, pipelines, experiments, and technical processes.

• Stay current with developments in machine learning, artificial intelligence, and MLOps.

Required Qualifications

• Bachelor's or Master's degree in
Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics
, or a related field.

• 2+ years of experience
in Machine Learning Engineering, Data Science, or a related role.

• Strong programming skills in
Python
.

• Experience with machine learning frameworks such as
Scikit-learn, TensorFlow, or PyTorch
.

• Strong understanding of machine learning algorithms and statistical concepts.

• Experience working with
SQL
and structured/unstructured data.

• Experience building and deploying ML models in production.

• Strong understanding of software engineering principles, including Git, testing, and CI/CD.

• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with
AWS, Microsoft Azure, or Google Cloud Platform
.

• Experience with
Docker and Kubernetes
.

• Knowledge of
MLOps
practices and tools.

• Experience with ML platforms such as
MLflow, Kubeflow, SageMaker, Vertex AI, or Azure Machine Learning
.

• Experience with
NLP, recommendation systems, computer vision, or generative AI/LLMs
.

• Experience working with distributed data processing frameworks such as
Spark
.

• Familiarity with REST APIs and microservices architecture.

• Experience working in Agile/Scrum environments.

What We Offer

• Fully remote work environment.

• Competitive compensation.

• Opportunity to work on challenging AI/ML projects.

• Professional development and learning opportunities.

• Collaborative and flexible work culture.

Equal Employment Opportunity
[Company Name]
is an equal opportunity employer. We are committed to providing an inclusive workplace and consider qualified candidates without regard to legally protected characteristics under applicable federal, state, or local law.
How to Apply

• Please submit your resume highlighting your experience with
Python, machine learning, cloud platforms, model deployment, and MLOps
.