Sr. Machine Learning Engineer - WFHMD - 1530

Global Infotek - Reston, VA

Full-time - Mid Level

Remote - Reston, VA

Professional, Scientific, and Technical Services

About the position

The Sr. Machine Learning Engineer position at Global InfoTek Inc. is a remote opportunity focused on researching, developing, implementing, and deploying machine learning models and algorithms to address various cyber analytical challenges. The role involves collaboration with cross-functional teams to identify machine learning opportunities, preprocess data, design and train models, and deploy solutions in production environments. The selected candidate will work with state-of-the-art technologies and contribute significantly to enhancing cyber capabilities.

Responsibilities

• Research, develop, architect, and integrate machine learning models and algorithms.
• Collaborate with data scientists to design and develop ML models for specific problems.
• Implement data processing, cleansing, and conduct data integrity and validation actions.
• Analyze structured cyber-security data using supervised machine learning and other techniques.
• Create interactive reports, visual analytics, and dashboards for data insights.
• Stay updated on advancements in large data analytics and machine learning technologies.
• Collect, preprocess, and analyze large datasets for model training.
• Work closely with software developers to integrate data analytical solutions into production systems.

Requirements

• 7-10 years of experience in machine learning, data science, or related fields.
• Experience working with cyber-security data.
• Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
• Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience with data processing tools like Python, SQL, and Spark.
• Excellent problem-solving and analytical skills with attention to detail.
• Strong communication and collaboration skills.

Nice-to-haves

• Experience with Apache Spark and Jupyter Hub.
• Knowledge of networks and network traffic data.
• Experience with containerization technologies like Docker and Kubernetes.
• Familiarity with big data technologies such as Elastic Search and Apache Hadoop.
• Publications or contributions to ML-related research projects.

Benefits

• Remote work flexibility
• Opportunities for professional development
• Collaborative work environment