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AI/ML Product Engineer

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  • Job
    Full-time
    Senior Level
  • Data
    Software Engineering
  • Tampa

Requirements

  • Degree in Data Science, Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or related field.
  • 5 years as a data scientist, machine learning or NLP engineer.
  • 5 years working with different types of enterprise and real-world data sets - structured, semi-structured and unstructured data.
  • Deep hands-on experience with LLMs and GenAI concepts such as prompt engineering, RAG, GraphRAG, and fine-tuning.
  • Expertise in supervised and unsupervised Machine Learning and Deep Learning techniques, with emphasis on Natural Language Processing (NLP).
  • Experience with NLP libraries and technologies including Spacy, PyTorch & Deep Learning models.
  • Expertise in NLP feature engineering and modeling (e.g., text classification, entity recognition, dependency parsing), hyperparameter optimization, model selection and validation.
  • Experience with State-of-the-Art modeling techniques, such as transformers (e.g., BERT, GPT-_N_).
  • Proficiency in leveraging cloud-based machine learning resources such as those from Amazon Web Services or Google Cloud for model training and productization.
  • Strong understanding of Software Engineering and Agile Software Development Life Cycle principles.
  • Expertise with Python. Good proficiency with SQL, Scala, or Java.
  • Ability to thrive in a fast-paced multi-disciplinary environment; with the ability to effectively communicate with a diverse audience.
  • Ability to multitask and lead several project workstreams in parallel.
  • Present and communicate effectively to senior leadership in non-technical manner.

Responsibilities

  • Understand business challenges and develop strategy/roadmap to pilot and develop AI software products that help to achieve business goals.
  • Research, evaluate and develop standard patterns of use for various model types (i.e.: LLMs, SLMs, custom domain specific models).
  • Evaluate and standardize on model evaluation, validation, MLOps/LLMOps frameworks.
  • Experiment, develop reusable GenAI/ML/NLP based pipelines through a micro-services-based architecture.
  • Provide active hands-on technical guidance and leadership through the entire lifecycle of GenAI/NLP based development projects.
  • Present model outcomes in a business friendly and scientifically rigorous manner.
  • Managerial responsibility rotational colleagues, interns and contingent workers.

FAQs

Do we support remote work?

Yes, we support work in a hybrid format, requiring employees to work from the assigned Pfizer office 2-3 days per week or as needed by the business.

What is the employment eligibility requirement for this position?

This position requires permanent work authorization in the United States.

What type of candidates are we looking for?

We are looking for candidates with strong experience in AI/ML, specifically in evaluating, developing, and supporting various machine learning models and NLP data pipelines, ideally with a background in healthcare.

What kind of qualifications do I need to apply?

Candidates should have a degree in Data Science, Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or a related field, along with 5 years of experience in data science, machine learning, or NLP engineering.

Is there a focus on specific technologies for this role?

Yes, candidates should have deep hands-on experience with LLMs, GenAI concepts, NLP libraries like Spacy, PyTorch, as well as expertise in supervised and unsupervised machine learning techniques.

What are the working hours for this role?

Flexibility is needed to work across different time zones, including Asia, Europe, and the US, which may require working early or late to support project deliverables and stakeholders.

Are there benefits associated with this position?

Yes, this position offers a comprehensive package of benefits which include health coverage, paid vacation, and participation in Pfizer's Global Performance Plan, among others.

Is there a salary range for this role?

Yes, the annual base salary for this position ranges from $93,500.00 to $155,900.00, based on the Tampa, FL location.

Will graduate interns or contingent workers be managed in this role?

Yes, there will be managerial responsibilities for rotational colleagues, interns, and contingent workers.

What is the application deadline for this position?

The last day to apply is November 4, 2024.

The business community for LGBTQ+ professionals, graduates, inclusive employers and advocates for workplace equality.

Technology
Industry
11-50
Employees
2014
Founded Year

Mission & Purpose

myGwork is the largest global platform for the LGBTQ+ business community. Our mission is to make the workplace more inclusive for all by providing individual users and partner organizations access to a wide eco-system of services, including job opportunities, training, mentoring, employer branding, and free community events. Joining the platform is free for individual members, which supports myGwork’s goal of ensuring that the platform's benefits are as accessible and as far-reaching as possible. Corporate members get a tailored service, with carefully curated product packages to help them achieve all their DE&I goals. myGwork organizes two annual events, WorkFair – the largest virtual global career fair for the LGBTQ+ professionals, graduates and students, and WorkPride – a week-long global conference for the LGBTQ+ business community and allies during Pride Month. The company also recently launched the myGwork Academy, delivering practical and relevant LGBTQ+ training education to help create inclusive workplaces for all.