Job description

Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Machine Learning (ML) Engineer to support our team in Northern Virginia. Responsibilities: * Design, develop, and implement machine learning models and algorithms to solve specific business problems. • Build and maintain scalable and robust machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate closely with data scientists, software engineers, and product managers to understand requirements and translate them into practical ML solutions. • Experiment with different machine learning techniques and algorithms to identify the most effective approaches for given problems. • Evaluate model performance using appropriate metrics and iterate on models to improve accuracy, efficiency, and scalability. • Monitor and maintain deployed models, ensuring their reliability and performance in production environments. • Troubleshoot and resolve issues related to machine learning models and pipelines. • Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields. • Contribute to the development of best practices and standards for machine learning development and deployment within the team. • Document machine learning models, experiments, and deployment processes. • Potentially work with large datasets and big data technologies. • Optimize machine learning models for performance and efficiency. Qualifications: * Master’s in computer science, Machine Learning, or higher level degree is preferred with of 3+ years of related industry experience in Machine Learning, Computer Science, Data Science or related fields. • Demonstrated hands-on experience in developing and deploying machine learning models in a production environment. • Strong programming skills in Python and experience with relevant machine learning libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc. • Solid understanding of machine learning algorithms (e.g., regression, classification, clusting, dimensionality reduction, deep learning architectures). • Experience with data preprocessing, feature engineering, and data visualization techniques. • Familiarity with data storage and processing technologies (e.g., SQL, NoSQL databases, Spark, Hadoop). • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their machine learning services. • Understanding of software development principles, version control (e.g., Git), and CI/CD pipelines. • Strong analytical and problem-solving skills with the ability to interpret data and draw meaningful conclusions. • Excellent communication and collaboration skills to effectively communicate technical concepts to both technical and non-technical audiences. Preferred Skills: * Experience with specific areas of machine learning such as Natural Language Processing (NLP), Computer Vision, or Recommender Systems. • Experience with MLOps practices and tools for automating and monitoring machine learning workflows. • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. • Experience with building and deploying RESTful APIs. • Familiarity with big data technologies and distributed computing. • Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with Full-Scope Polygraph Equal Opportunity Employer: Velocity-X is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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