Job Location: McLean, VA
Job ID: 2215240
Location: REMOTE WORK , VA , US
Date Posted: 2022-10-11
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: No
Description
SAIC is seeking an individual for a mid-level Machine Learning Engineer role to join the Artificial intelligence (AI) horizontal business unit within Strategy, Growth and Innovation (SGI). This is a full-time remote job that can be work anywhere within the U.S.
The successful candidate will have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results by creating and operationalizing data science and artificial intelligence products and solutions in support various customer missions within the Federal Government and other Public Sector organizations. You would support a variety of programs including but not limited to customer programs, IRAD projects and bid and proposal work.
The Sr. Machine Learning Engineer role will work in a collaborative team-focused environment with technical understanding and practical application in prototyping, designing, and integrating niche tools which will be used in an analytical environment. This position will help progress, establish, incorporate, and advance current and promising concepts to inform tactical decision-making timelines. Your role is to provide needed technical knowledge in the areas of Computer Vision, Natural Language Processing, AI/ML, and Data Fusion & Analytics to develop algorithms, support modeling and simulation efforts and provide data analytic skills to conduct a variety of analytical projects.
Responsibilities include but are not limited to:
- Conduct analysis of mission data applicable in multiple domains in Python
- Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer with the aim of re-usable/re-deployable solutions. Specifically in Python.
- Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets)
- Research analysis products and tools for possible integration to enhance Analytics and AI offerings
- Create new tools and applications using a variety of software languages, frameworks, and libraries
- Refine and enhance existing applications to better meet the customerโs mission
- Code, test, and maintain internally developed mathematical software tools
Qualifications
REQUIRED EDUCATION AND EXPERIENCE:
- A Bachelor’s Degree in Mathematics, Physics, Information Technology field, Operations Research or related discipline is required with five (5) or more years’ experience. Masters and three (3) years or more experience. Will consider candidates with 4 additional years of experience in lieu of a degree.
- Demonstrated proficiency in programming languages such as Python
- Utilizing AI/ML libraries and frameworks such as TensorFlow, Keras, and PyTorch
- Understanding data structures, data modeling and software architecture
- Analyzing ML algorithms that could be utilized to solve a given problem and ranks them by their success probability
- Analyzing errors of the model and design strategies to overcome them
- Designing and developing machine learning and deep learning systems to automate predictive models
DESIRED EXPERIENCE:
- Demonstrated on-the-job knowledge of creating machine learning based solutions
- Working within AWS or other cloud environments/ Hands-on experience with big data tools such as Databricks
- Experience applying machine learning to data analysis applications
- Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation
- Practical understanding in modeling and simulation with a focus on optimization, including theoretical and numerical methods for analysis of current and future systems
- Must have the aptitude and attitude to tackle unsolved technical challenges
- Capability to distill complex problems into digestible structures/formats
- Experience with CI/CD as part of a DevOps or MLOps pipeline would be helpful
Target salary range: $125,001 – $150,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.SAICยฎ is a premier Fortune 500ยฎ technology integrator driving our nation’s technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers’ missions.
We are more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com.
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