Data Scientist / ML Engineer - Paradyme Management

Paradyme Management is a rapidly growing government technology leader that puts service first, for its customers, its team and the communities it supports. Paradyme harnesses DevSecOps and Agile development processes to deliver exceptional results for digital transformations. With headquarters office in Tysons Corner, VA, Paradyme’s award-winning culture sets it apart through its team’s deep commitment to service and collaboration with its customers, each other and the community. Learn more at www.paradyme.us .

Paradyme Management is hiring a Data Scientist /ML Engineer to support mission critical programs.

The Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide customers with the information they need to make proper decisions and enable their digital transformation. Duties include:

• Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
• Collaborating with data and subject matter experts and customer teams to seek, understand, validate, interpret, and correctly use new data elements.
• Driving adoption and scalability of Generative AI and Deep Learning systems within products.

Qualifications:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning). 
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
• Ability to drive a project and work both independently and in a cross-functional team.
• Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
• Excellent verbal and written communication.

Preferred Qualifications:

• Experience with scalable ML (MapReduce, Spark).
• Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with reinforcement learning.
• A portfolio of projects (GitHub, papers, etc.).

Physical Requirements: These are the essential physical requirements needed to successfully perform the job.

• Sedentary work.
  • Requires sitting up to 8 hours per day.
  • May require lifting up to 5 pounds unassisted.
  • Fine repetitive motor skills with hands, wrists, and fingers in coordination with eyes.
• Hearing, speaking, and vision: Adequate to perform job duties and communicate in person, via video, and telephone. Includes reading information from printed sources and computer screens.
• Other: Work may be performed in an office environment, which may involve frequent contact with staff and the public. Work may be stressful at times.

Paradyme Management, Inc. is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Paradyme will take the steps to ensure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact Rose Luczak, Director of People Operations at rose.luczak@paradyme.us or at (571) 289-0548

Paradyme is a federal contractor and an EEO and an Affirmative Action Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, pregnancy-related disability, physical or mental disability, genetic information, sexual orientation, marital status, familial status, personal appearance, occupation, citizenship, veteran or military status, gender identity or expression, or any other characteristic protected by federal, state or local law.