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The successful applicant will have the opportunity to apply and grow their skillset, work with a motivated and entrepreneurial team, engage with a wide range of stakeholders, and build CGS' capabilities to serve our clients.
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 is required
- Eligible to obtain and maintain a Government Security Clearance
- 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
- Partner with industry-leading Engineers, Artists, Producers and Designers
- 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 Government Security 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
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of 22 billion.
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Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Applicants for employment in the US 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 US by Capgemini.
Capgemini 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 that are 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 Capgemini, 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 McLean, VA is 200k to 250k .200
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are 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 the law.