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Job SummaryThe Maximus Emerging Technologies Center of Excellence (CoE) is a startup within a global organization whose mission is Helping government serve the people. We support our lines of business in transforming how governments serve the people and improve their lives, through the adoption of emerging technologies.
In the role of a Senior AI/ML Engineer, you will collaborate with teams in advancing the applied use of Artificial Intelligence (AI) and Machine Learning (ML), support the end-to-end implementation of AI/ML solutions, work with engineering teams in integrating AI/ML solutions into their solutions, and investigate tools while supporting the deployment of MLOps platform. The CoE provides a unique opportunity in making a difference to citizens and society, while embracing an inclusive culture that champions diversity and collaboration in an environment that is committed to lifelong learning, growth, and development.
Working in the Maximus Emerging Technologies CoE means that you are passionate about developing and mentoring teams and accelerating the adoption of technologies globally. You will be a self-starter who is comfortable stepping up and taking ownership, orchestrating new possibilities, constantly innovating and willing to explore and challenge the status quo.
Desired experiences.
Helped develop AI communities through meetups, blogs etc.
Experience with Knowledge graphs
Experience with Bayesian networks
Experience with Graph Neural Networks
Experience with Reinforcement Learning
Experience with Causal Modeling
Essential Duties and Responsibilities:
- Lead AI/ML solutions from scoping through deployment and monitoring.
- Collaborate with engineers, solution architects, project managers, and our services teams, to design and implement models and experiments from end to end, including data ingestion and preparation, analysis and modeling, model deployment, monitoring and documentation.
- Develop and maintain scalable data pipelines and builds AI/ML models to support our lines of business
Contribute towards the curation, development and dissemination of AI/ML related educational materials.
- Contribute towards the curation, development, and promotion of playbooks, best practices, standards such as Responsible AI, and lessons learned.
- Support AI solutions from scoping through deployment and monitoring.
- Collaborate on the selection and piloting of platforms (e.g. MLOps) and tools for the business.
- Maintain current knowledge of AI technology landscape and emerging developments; attend tradeshows and conferences.
Minimum Requirements:
- Bachelor's degree in related field.
- 5-7 years of relevant professional experience required.
- Minimum 3+ years leading end-to-end (scoping, design, development, testing, deployment, and monitoring) implementation of AI/ML solutions that drive significant business benefit.
- Experience in design thinking, lean startup and agile project management practices.
- Experience implementing solutions within cloud environments including container-based environments (Docker, Kubernetes) and MLOps platforms.
- Experience with scientific and machine learning libraries e.g., SciPy, Scikit-learn, NumPy, spaCy, Spark NLP.
- Experience with deep learning frameworks such as Tensorflow and PyTorch.
- Strong software development skills.
- Proficient in at least two programming languages including Python.
- Proficient in building data processing pipelines.
- Proficient with developing predictive models on structured data (regression, classification, clustering, time-series).
- Proficient with Natural Language Processing.
- Experience with Knowledge Representation and GNN.
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