Sr. Machine Learning Engineer

Description

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

• US Citizenship 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 mode