Machine Learning Engineer (Remote) - Scalable ML Solutions
Design, develop, and deploy scalable machine learning solutions. Collaborate with cross-functional teams and work remotely across the United States. 5-10+ years of hands-on ML engineering experience required.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
Job Title: Machine Learning Engineer
Location: Remote – United States
Experience: 5–10+ Years
Employment Type: Full-Time / Contract
Job Summary:
We are seeking an experienced and highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions. The ideal candidate will have strong hands-on experience in building production-grade ML systems, working with large datasets, and collaborating with cross-functional engineering and data teams in a remote environment across the United States.
Key Responsibilities:
- Design, build, train, and deploy machine learning models for real-world applications
- Develop scalable data pipelines and feature engineering workflows
- Optimize model performance, accuracy, and reliability
- Implement MLOps practices including CI/CD, monitoring, and versioning
- Collaborate with data scientists, software engineers, and product teams
- Perform model validation, testing, and experimentation
- Deploy models using cloud services and containerization
- Monitor production models and retrain as needed
- Maintain documentation and best practices
Required Skills & Qualifications:
- Strong programming experience in Python (mandatory)
- Expertise in Machine Learning algorithms, statistics, and data modeling
- Hands-on experience with TensorFlow / PyTorch / Scikit-learn
- Experience with Big Data tools (Spark, Hadoop)
- Strong knowledge of SQL and NoSQL databases
- Experience with Cloud platforms (AWS / Azure / GCP)
- Experience with Docker, Kubernetes
- Knowledge of CI/CD and MLOps tools (MLflow, Kubeflow, Airflow)
- Experience with REST APIs and microservices
- Strong problem-solving and communication skills
Education:
- Bachelor’s / Master’s degree in Computer Science, AI, Data Science, or related field
Eligibility Criteria:
- 5–10+ years of hands-on ML engineering experience
- Authorized to work in the United States (as applicable)
- Comfortable working remotely with distributed teams
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