Machine Learning Model Deployment and Maintenance Specialist

Job Summary

We are seeking a highly skilled Data Scientist to work on deploying, fine-tuning, and monitoring production machine learning models in a fast-paced environment.

Responsibilities:

• Design, develop, and maintain production-ready machine learning models across various tasks
• Collaborate with cross-functional teams to optimize existing services and leverage current GPU capabilities
• Integrate machine learning models with streaming data to provide near-real-time analytics and support business growth
• Work closely with data engineers to design data architecture decisions for continuous model training and improvement
• Provide technical guidance and support for data extraction, transformation, load (ETL), data mapping, analytics, operations, databases, and maintenance

Requirements:

• Expertise in Python, Cuda, Kubernetes, CI/CD, Apache Kafka, REST architecture, Open-AI, LLMs, NLP, YOLO/Object Recognition, Whisper/Audio processing
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• Hands-on experience with relational database management systems (SQL, Oracle) and NoSQL databases (Elasticsearch, Neo4J, Redis)
• Strong understanding of machine learning methodologies and their applications
• Proficiency in servers operating systems, distributed computing, cloud infrastructure, source code management, and data science frameworks

Qualifications:

• Bachelor's degree in Engineering or a related field, OR equivalent 4 additional years of job-related experience
• 10 years of related data science/statistical experience and 2 years of software engineering or data engineering experience

Clearance Level:

TS/SCI with SCI Poly clearance required.

Location:

USA, VA, McLean

Compensation:

$161,500 - $218,500

Salary : $161,500 - $218,500