Machine Learning Engineer

Job Responsibilities: As a ML Engineer you will: Deliver high-quality code components that will power the services, servers, distributed systems, and backend architecture for Microsoft products Partner with industry-leading Engineers, Artists, Producers and Designers Incorporate the latest AI, Machine Learning and Computer vision capabilities into the design of Microsoft products and services Drive ML-related solutions based on evaluation of requirements, resources, and alternatives Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems Deploy ML solutions and develop methodologies to scale up Present and articulate findings and present solutions to clients and team members Maintain knowledge of advances of ML in industry and academia As needed, collaborate with internal and external stakeholders to identify object detection, optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using ML Required Qualifications U.S. Citizenship and an active secret level security clearance or higher is required Ability to be at client site full time in Washington, DC Bachelor’s degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred Minimum of two (2) years of professional experience with machine learning-delivery responsibilities such as: Deliver high-quality code components to power services, servers, distributed systems, and backend architecture Incorporate the AI, machine learning, and Computer vision capabilities into solutions and services Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java Experience using libraries and frameworks such as TensorFlow, PyTorch, Spark ML/MLlib, and Jupyter Excellent verbal and written communication skills Ability to multi-task and stay flexible in a dynamic work environment Nice to have skills/qualifications Active TS clearance Data Science, ML, AI, or Cloud certifications Experience working in an IT project team following SDLC and DevOps methodologies Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka Experience with designing and building cloud-based databases, data lakes, and data warehouses Experience using tools such as Azure’s Machine Learning and Cognitive Services; AWS’s SageMaker, Polly and Rekognition; DataRobot; or H2O.ai About ITC Digital Solutions: ITC Digital Solutions, a division of ITC Federal, delivers advanced technology solutions that help federal agencies modernize systems, harness data and AI, and adopt emerging technologies to advance their missions. Building on more than two decades of public sector experience, the team brings deep expertise in IT strategy, application development and testing, digital modernization, data and AI, and technology transformation across civilian, health, national security, and defense agencies.

Disclaimer: All qualified applicants will be considered for employment based on their skills and merit. Please be aware that ITC may capture your image (video or screenshot) during the interview process, and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the U.S. must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the U.S. by ITC. ITC discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors considered in making compensation decisions, including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales- or revenue-based metrics, and business or organizational needs. At ITC, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000–$180,000. Full-time regular employees are eligible for paid time off, medical, dental, and vision insurance, a 401(k), and any other benefits available to eligible employees.

Note: No amount of pay is considered wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or other form of compensation allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with applicable law. Equal Opportunity Employer/Protected Veterans The contractor will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as part of their essential job functions may not disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge; (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer; or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c).