Sr. Machine Learning Engineer

The Amivero Team

Amivero's team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.

Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.

As a member of the Amivero team you will use your empathy for a customer's situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.

Special Requirements

• ship Required to obtain...
• Bachelor Degree + 12 years of experience

The Gist...

Our Senior Machine Learning Engineer will play a critical role in designing, developing, and implementing advanced machine learning models and solutions. You will have extensive experience in machine learning, data engineering, and working with large-scale data platforms and cloud services. This position requires a deep understanding of modern machine learning techniques, experience with large language models (LLMs), and proficiency with technologies such as Databricks, AWS/Azure, and Hadoop/Cloudera.

What Your Day Might Include...

• Design, develop, and deploy machine learning models to address complex business challenges.
• Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
• Develop models leveraging 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 the 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 Scientist, Data Engineers, Product Manager 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

You'll Bring These Qualifications...

• Bachelor's + 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.

EOE/M/F/VET/DISABLED

All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.