Sr. Machine Learning Engineer

Amivero - Reston, VA

Full-time - Senior

Reston, VA

Professional, Scientific, and Technical Services

About the position

The Senior Machine Learning Engineer at Amivero will be instrumental in designing, developing, and implementing advanced machine learning models and solutions. This role requires extensive experience in machine learning, data engineering, and working with large-scale data platforms and cloud services, with a focus on modern techniques and large language models (LLMs). The engineer will leverage their skills to modernize mission-critical government IT systems, ensuring data integrity and quality while optimizing cloud infrastructure for performance and scalability.

Responsibilities

• Design, develop, and deploy machine learning models to address complex business challenges.
• Create and fine-tune algorithms for classification, regression, clustering, and recommendation systems.
• Develop models using advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
• Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
• Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
• Ensure data integrity and quality throughout the data lifecycle.
• Deploy and manage machine learning models on cloud platforms such as AWS and Azure.
• Optimize cloud infrastructure to enhance performance and scalability of machine learning solutions.
• Implement best practices for cloud security, cost management, and resource utilization.
• Develop and integrate LLMs to enhance data analysis, natural language understanding, and generation tasks.
• Experiment with and fine-tune pre-trained models to meet specific project requirements.
• Stay updated with the latest advancements in LLM technologies and apply them effectively.
• Collaborate with Data Scientists, Data Engineers, Product Managers, and other stakeholders to understand business needs and translate them into technical requirements.
• Communicate complex technical concepts and results to non-technical stakeholders clearly and effectively.
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and improvement.
• Continuously monitor the performance of deployed models to ensure they meet business objectives.
• Conduct thorough evaluations and performance tuning to improve model accuracy, efficiency, and robustness.
• Implement automated monitoring and alerting systems to detect and address potential issues proactively.
• Stay abreast of the latest trends, tools, and techniques in machine learning and AI.
• Explore and experiment with new technologies and methodologies to push the boundaries of what is possible.
• Contribute to the company's intellectual property through patents, publications, and presentations.
• Maintain comprehensive documentation of models, algorithms, data pipelines, and other technical processes.
• Prepare and present detailed reports on model performance, project progress, and outcomes to stakeholders.
• Ensure compliance with industry standards, regulations, and best practices in data science and machine learning.

Requirements

• Bachelor's degree + 12 years of experience in machine learning, data science, or a related field.
• Proficiency with Databricks and experience with developing and managing data workflows.
• Strong experience with cloud platforms, specifically AWS and Azure.
• Extensive knowledge of Hadoop/Cloudera and experience in big data processing.
• Hands-on experience with large language models (LLMs) and other modern AI technologies.
• Strong programming skills in Python, R, or similar languages.
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-Learn.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of MLOps and CI/CD practices for machine learning.
• Experience with real-time data processing and streaming technologies.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Excellent problem-solving skills and the ability to work on complex projects independently.
• Strong communication and collaboration skills.