Applied Machine Learning Scientist II

Position: Applied Machine Learning Scientist II (US)
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*** Adept at technical project execution, strategic planning and effective communication. Accountable for specialized knowledge in a field of AI/ML
* Works autonomously and accountable for acting as a lead within a function
* Undertakes and completes a variety of complex initiatives requiring seasoned specialist AI/ML knowledge and/or the integration of cross functional processes
* Typically deals with senior/executive management
* Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
* 1+ years relevant experience (includes post graduate experience)
* Master's degree in computer science, machine learning, AI, engineering, statistics, data science, mathematics or related field with 4+ years of relevant work experience in either developing or validating Generative AI, LLMs, NLP and other Deep Learning models. PHD with specialization in ML, AI, or Statistics is a plus.
* In-depth knowledge of AI/ML methodologies, concepts and theory including Generative AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models etc.
* Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, Prompt Flow, Lang Chain, Hugging Face, etc.
* Motivated to stay up to date with the latest advancements in Generative AI, machine learning, and cloud technologies.
* Academic or industry research experience in Responsible AI, fairness, or model evaluation
* Proficient in one or more scripting/programming languages such as Python.
* Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., PySpark, Hadoop).
* Knowledge of machine learning explain-ability/interpretability algorithms.
* Excellent verbal and written communication skills and stakeholder management abilities (position requires writing and reviewing reports of a technical nature).
* Strong critical and analytic thinking skills.
* Excellent time / project management and multitasking skills with minimal supervision.
* Ability to work independently and collaboratively in a fast-paced, dynamic environment.
* Publications in relevant conference and journals and research in GenAI/LLM field is a plus.
* Ability to implement AI/ML algorithms from academic research papers is a plus.
* Provides strong knowledge in a given AI/ML area. Delivers insights into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produces new and creative analytic solutions that will become core deliverables
* Works closely with business owners to identify opportunities and serves as an ambassador for data science
* Designs and delivers enterprise analytic solutions for customers
* Develops powerful business insights from a broad range of data using advanced machine learning techniques
* Works in a highly interactive, team-oriented environment with Big Data developers, engineers, modelers and others
* Adheres to enterprise frameworks or…