Elder Research Inc. is a recognized leader in data science, machine learning and AI. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We are looking for innovative and inquisitive self-starters who enjoy understanding a problem space and building fast, efficient, and tractable data infrastructure to deliver real value for our clients.
Our company is seeking a talented and experienced mid-career Machine Learning Engineer to join our dynamic and fast-paced team. In this role, you will play a key part in enhancing and modernizing our data science infrastructure, collaborating closely with data scientists, data engineers, product managers, and analysts. The ideal candidate will have a strong background in building ML/DL models using Python tools such as scikit-learn and Hugging Face, with expertise in developing end-to-end pipelines. You will be responsible for optimizing ML operations, improving existing models, and introducing best practices to elevate our data science capabilities.
Design, build, and deploy machine learning models using Python, with a focus on tools like scikit-learn and Hugging Face.
Develop end-to-end ML pipelines, responsible for integration from back to front end.
Collaborate closely with data scientists, data engineers, product managers, and analysts to understand business requirements and provide solutions.
Contribute to applied ML research and innovation to enhance our current models.
Improve and modernize existing ML pipelines and operations, emphasizing best practices and efficiency gains.
Demonstrate strong communication and consulting skills, facilitating effective collaboration within a diverse team.
Work in a fast-paced environment, contributing to a collaborative and agile development process.
Strong background in ML applied research or MLOps, with demonstrated experience in promoting best research & development practices.
Proficiency in Python and experience with building ML/DL models using, but not limited to, scikit-learn and Hugging Face.
Demonstrated expertise in developing end-to-end ML pipelines.
Excellent communication and consulting skills, with the ability to work with both technical and non-technical stakeholders.
At least 5 years of experience in a related role.
Experience in NLP, LLMs, or computer vision.
Experience in productionizing ML pipelines on large-scale datasets (terabytes per day).
Familiarity with SAS Viya 4.
Experience with data modeling, documentation, and understanding complex database structures.
Knowledge of data governance principles and compliance requirements.
Familiarity with tools for creating and maintaining data dictionaries or metadata repositories.
Our company manages terabytes of data stored in a variety of database structures. A candidate who is able to reverse engineer and understand complex database structures will thrive, finding many opportunities to contribute to the documentation and improvement of our data infrastructure. We deal with diverse datasets, making adaptability and versatility crucial for success in this role. The ability to handle large datasets and contribute to a collaborative and fast-paced environment is essential. This role provides the opportunity for direct input in building a robust data science environment for researching, applying, and productionizing a variety of ML and DL models.
About Elder Research, Inc Elder Research is a growing consulting firm specializing in data (analytics, data science, AI and machine learning), and related strategy and training. Our organization has over 25 years of experience and 100+ practitioners that have partnered with hundreds of organizations to achieve significant value through innovative applications of data, analytics, and people-centered processes. We are tackling hard problems, big and small, where off-the-shelf solutions don’t work or don’t exist. To achieve success, we value humble, hardworking teammates with the ability to be flexible, think critically and experiment.
At Elder Research, you’ll be part of a fun, friendly, and supportive community where we need each other to succeed, your point of view matters, and asking questions with a beginner’s mindset is applauded. In keeping with our entrepreneurial spirit, we want candidates that are self-motivated with an innate curiosity and strong team work ethic. We are constantly learning and offer teammates free access to a wide range of learning opportunities including Elder’s own platform statistics.com and technical mentors or sponsors. Broadening and deepening your technical and consulting skills both on the job and off is something we are passionate about, and we pay you to do it.
To achieve success on defense, intelligence and security work we frequently bring together the expertise of decision-makers, analysts, agents, investigators, and even behavioral scientists. Our team enjoys great variety in the type of work they do and exposure to a wide range of analytic techniques and tools.
Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.