Role overview
You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands-on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay current with the latest ML techniques and tools, and you're passionate about turning prototypes into production-ready systems that deliver real-world impact.
What you'll work on
- Study and transform data science prototypes
- Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Extend existing ML libraries and frameworks
- Optimize machine learning algorithms for performance, scalability, and reliability
- Stay updated with the latest machine learning techniques and technologies, and proactively identify opportunities to apply them in our context
- Collaborate with data engineers and scientists to build efficient data pipelines for training and deploying machine learning models
- Monitor and maintain the performance of deployed models, and iterate on them to continuously improve results
What we're looking for
- 2+ years of experience in developing and deploying machine learning models in a professional environment
- Bachelor's or Master's degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related field
- Strong programming skills in Python, with experience in machine learning frameworks like TensorFlow, PyTorch, or Keras
- At least one year of experience with cloud computing services, particularly AWS services like EC2, S3, Lambda, and SageMaker
- Strong understanding of machine learning algorithms, data structures, and software engineering principles
- Excellent problem-solving skills with a focus on practical business applications
- Experience with front end application development to support presentation of ML applications
- Experience in handling large datasets and developing scalable machine learning solutions.
- Excellent communication skills, both written and verbal, for effective collaboration with technical and non-technical teams.
- A continuous learning mindset, with a passion for staying up-to-date with the latest advancements in machine learning and AI.
- Experience with version control tools like Git, and CI/CD pipelines
- *Ability to obtain a Public Trust Clearance
BENEFITS:**
We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits.
- Health Insurance -100% employer-paid premiums – ICA covers the full cost of one of three offered medical plans
- Dental Insurance
- Vision insurance
- Health Spending Account
- Flexible Spending Account
- Life and Disability insurance
- 401(k) plan with company match
- Paid Time Off (Vacation, Sick Leave and Holidays)
- Education and Professional Development Assistance
- Remote work from anywhere within the continental United States
LOCATION & TELEWORK
This is a remote position. Candidates residing in the DMV area preferred.