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
• Active DHS Public Trust preferred
• Bachelor Degree + 10 years of experience
• Must be local to the DC, MD, VA area.
• This position currently allows for remote work but may transition to an onsite requirement at our designated office location, Monday through Friday, five days per week. This policy is subject to change based on business needs and operational requirements.  

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 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

You’ll Bring These   Qualifications…

• Bachelor’s + 10 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.

**Due to compliance and operational considerations, we are currently unable to hire employees residing in the following states: California, Illinois, New York, Washington and Colorado. If you reside in these states, please check future postings with Amivero as our hiring capabilities may expand over time

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.