Machine Learning Engineer

Capgemini Government Solutions

. Deliver high-quality code components powering services, servers, distributed systems, and backend architecture for Microsoft products .

Posted 9/30/2026full-timeUnited StatesJuniorMid-Level💰 $120,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, AI, and computer vision, with a strong focus on developing and deploying scalable ML solutions. Proficient in programming languages and frameworks essential for data analysis and model development.

Highest-signal resume keywords

Machine Learning DeliveryAI IntegrationComputer Vision ModelsProgramming in PythonData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceComputer VisionExploratory Data AnalysisCustom AlgorithmsModel DevelopmentObject DetectionPredictive ModelingNLPFraud Detection

Soft Skills

Excellent CommunicationMultitaskingFlexibility

Tools & Technologies

TensorFlowPyTorchSpark ML/MLlibJupyterAzure Machine LearningAWS SageMakerDataRobotH2O.aiKafkaCloud Databases

Certifications & Qualifications

Data Science CertificationML CertificationAI CertificationCloud Certification

Industry Keywords

Distributed SystemsBackend ArchitectureData PipelinesStructured DataUnstructured DataSDLCDevOpsData LakesData WarehousesActive Security Clearance

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsHadoopJavaJavaScriptKafkaMapReducePythonPyTorchScalaSDLCSparkSQLTensorflowTypeScriptC++

About the role

Key responsibilities & impact

Deliver high-quality code components powering services, servers, distributed systems, and backend architecture for Microsoft products
Partner with engineers, artists, producers, and designers
Incorporate AI, machine learning, and computer vision capabilities into Microsoft products and services
Drive ML solutions based on requirements, resources, and alternatives
Conduct exploratory data analysis to evaluate data pipelines and construct structured, semi-structured, and unstructured data stores
Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications
Deploy ML solutions and develop methodologies to scale them
Present findings and solutions to clients and team members
Maintain knowledge of advances in machine learning in industry and academia
Collaborate with internal and external stakeholders to identify ML use cases including object detection, OCR, automation, predictive modeling, pattern analysis, NLP, and fraud detection

Requirements

What you’ll need

U.S. Citizenship
Active Secret-level security clearance or higher
Ability to work full time at the client site in Washington, DC
Bachelor’s degree or higher in machine learning, data science, statistics, computer science, economics, mathematics, information systems, or a similar field preferred
Minimum of two (2) years of professional experience with machine-learning delivery responsibilities
Experience incorporating AI, machine learning, and computer vision capabilities into solutions and services
Experience with object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet
Programming experience in Python, R, Scala, SQL, JavaScript, C/C++, or Java
Experience using TensorFlow, PyTorch, Spark ML/MLlib, and Jupyter
Excellent verbal and written communication skills
Ability to multitask and remain flexible in a dynamic work environment
Valid U.S. work authorization without current or future visa sponsorship requirement
Nice to have: active TS clearance
Nice to have: Data Science, ML, AI, or Cloud certifications
Nice to have: experience with SDLC and DevOps methodologies, Hadoop, MapReduce, Pig, Kafka, cloud databases, data lakes, data warehouses, Azure Machine Learning, Azure Cognitive Services, AWS SageMaker, Polly, Rekognition, DataRobot, or H2O.ai

Benefits

Comp & perks

Professional development and training resources
Coursera and Degreed courses
Education expense reimbursements
Sponsored seminars, conferences, and certifications
Career path and goal planning
Paid time off
Medical, dental, and vision insurance
401(k)
Potential variable compensation, bonus, or commission