MissionStaff's client is looking to hire a Senior Applied Scientist to spearhead the development and application of cutting-edge AI models and deep learning solutions for identity verification, fraud prevention, background screening, and risk mitigation.
Requirements
- Fluent in languages such as Python or C++, and conversant with AI platforms like TensorFlow, Keras, or PyTorch.
- A comprehensive grasp of deep learning architectures is a must.
- Familiarity with rolling out AI/ML solutions on a national or global scale.
- Emphasis on deep learning, reinforcement learning, and related advanced techniques.
- At least 3-6 years in applied AI research, majoring in areas like deep learning and graph neural networks.
- A solid history of leading impactful projects is essential.
- Robust analytical skills, coupled with the talent to deconstruct and address complex challenges with AI-centric solutions.
Responsibilities
- Engage in the creation, development, and enhancement of AI and deep learning models and algorithms, targeting intricate challenges in areas like fraud detection, risk evaluation, and identity verification.
- Utilize advanced machine learning methodologies to dissect vast, intricate datasets, distilling actionable insights and crafting predictive models to elevate processes in risk evaluation, background checks, and identity validation.
- Craft and roll out cutting-edge algorithms and practices for tasks like entity matching, graph database analysis, and search/information retrieval.
- Remain informed on the latest breakthroughs in AI, deep learning, and machine learning, actively integrating the newest techniques to amplify the efficacy and efficiency of our systems.
- Work closely with product management and business stakeholders, comprehending customer needs and molding them into scalable, robust AI solutions.
- Share your research results, project progress, and tech innovations with both our internal teams and leadership.
- Concentrate on exploring both unsupervised and semi-supervised deep learning models, besides traditional supervised learning models.
Other
- Team up with multidisciplinary teams, including data scientists and search/information retrieval engineers, to outline project goals, requirements, and outcomes.
- Outstanding verbal and written communication skills, adept at elucidating intricate tech topics to diverse audiences.
- A history of contributing to top-tier conferences and journals is a plus.
- Proven capability to think outside the box, discover groundbreaking solutions, and advance the AI research frontier.
- An entrepreneurial spirit, fueled by an enthusiasm for pioneering innovation, is crucial.
- Candidates must be U.S. citizens or Permanent Residents to be considered for this position.
