Nexagen Networks, Inc. · 4 hours ago
AI/ML Data Scientist
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Cyber SecurityInformation Technology
No H1BU.S. Citizen OnlySecurity Clearance Required
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Responsibilities
Data Exploration & Preparation
Collect, preprocess, and analyze structured and unstructured datasets.
Perform exploratory data analysis to identify trends, patterns, and anomalies.
Work with data engineering teams to design and optimize pipelines for data acquisition and transformation.
Model Development
Design, build, and validate machine learning models using supervised, unsupervised, and reinforcement learning approaches.
Optimize algorithms for scalability, performance, and accuracy.
Prototype and deploy AI/ML applications in areas like NLP, computer vision, predictive analytics, and recommendation systems.
Research & Innovation
Stay updated on the latest advancements in AI/ML research and tools.
Explore and implement emerging technologies, frameworks, and best practices.
Conduct experiments to evaluate new algorithms and approaches.
Collaboration & Communication
Collaborate with cross-functional teams, including product managers, software engineers, and domain experts.
Translate technical insights into business value for non-technical stakeholders.
Present findings, model performance, and actionable recommendations effectively.
Deployment & Monitoring
Implement end-to-end AI/ML workflows, from proof-of-concept to production.
Monitor and maintain model performance, ensuring adaptability to changing data conditions.
Develop strategies for model explainability and interpretability.
Qualification
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Required
Must be a US Citizen.
Master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
Proven experience in AI/ML model development and deployment (2–5 years preferred).
Hands-on experience with large-scale datasets and real-world AI/ML applications.
Strong proficiency in Python, R, or Julia, and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with data manipulation tools (e.g., Pandas, NumPy) and visualization libraries (e.g., Matplotlib, Seaborn).
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Knowledge of database systems (SQL, NoSQL) and big data tools (Hadoop, Spark).
Expertise in algorithms, statistical modeling, and deep learning techniques.
Experience with Version Control Systems and Collaboration (GitHub, GitLab, Jupyter Notebooks, etc.).
Excellent problem-solving and critical-thinking abilities.
Strong written and verbal communication skills.
Ability to work in fast-paced, collaborative environments.
Preferred
Experience in natural language processing (NLP), computer vision (CV), or reinforcement learning (RL).
Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow).
Domain knowledge in defense industry.
Benefits
Employer-supplemented Medical
Dental
Vision
Employer paid Life Insurance
Employer Match 401k
PTO
Federal Holidays
Ancillary benefits are also available.