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About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro are...

Fulltime Remote Ai Machine Learning

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About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro are...

Ai Machine Learning Data Science Pytorch

$60k - $111k · Senior Fully remote

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Machine Learning Engineers Remote Continental United States

ICAAI Arlington, VA, US

Live

Full-time Posted 26 days ago 4 min read

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking forMachine Learning Engineers to join our growing team!

ABOUT THE ROLE:

As a Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities.

ABOUT YOU:

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.

RESPONSIBILITIES:

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

REQUIRED QUALIFICATIONS:

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.

ADDITIONAL INFORMATION:

ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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Machine Learning Engineers Remote Continental United States

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