Machine Learning Engineer

Machine Learning Engineer Northern Virginia, United States (Hybrid Working) Salary: Circa $175,000 + Benefits About the Role A growing SaaS technology company is seeking a talented Machine Learning Engineer to join its expanding AI and data engineering team in Northern Virginia. The company is building advanced machine learning capabilities into its core platform, enabling intelligent automation, data-driven decision making, and scalable AI-powered features for enterprise customers. In this role, you will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning models and systems into production environments. Key Responsibilities
Design, develop, and deploy machine learning models to support product features and data-driven solutions
Build and maintain scalable machine learning pipelines for training, evaluation, and deployment
Collaborate with cross-functional teams to identify opportunities to apply machine learning within the company's SaaS platform
Prepare, process, and analyze large datasets for model development and experimentation
Evaluate and optimize models for performance, scalability, and reliability
Deploy models into production environments and monitor their performance over time
Contribute to the development of ML infrastructure and MLOps processes
Stay current with advancements in machine learning, artificial intelligence, and data technologies
Document models, processes, and systems to support collaboration and reproducibility Required Qualifications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Strong programming skills in Python
Experience developing machine learning models using frameworks such as PyTorch, TensorFlow, or similar tools
Experience working with large datasets and data processing tools such as Pandas, NumPy, or SQL
Familiarity with deploying machine learning models in production environments
Experience working with cloud platforms such as AWS, Azure, or Google Cloud
Strong understanding of machine learning techniques including supervised and unsupervised learning
Ability to collaborate effectively within cross-functional engineering teams Nice to Have
Experience with MLOps practices and model deployment frameworks
Familiarity with containerization technologies such as Docker or Kubernetes
Experience working with data pipelines or large-scale data processing systems
Exposure to deep learning, NLP, or applied AI systems
Experience working in a SaaS or data-driven product environment What's on Offer
Circa $175,000 base salary
Equity or stock option opportunities
Medical, dental, and vision insurance
401(k) retirement plan
Paid vacation and company holidays
Hybrid working environment
Opportunity to work on impactful AI systems within a growing SaaS company
Collaborative engineering culture with strong opportunities for learning and career growth If you are a Machine Learning Engineer interested in building scalable AI solutions within a modern SaaS platform , we would welcome the opportunity to discuss this role with you. Desired Skills and Experience
Machine Learning