Senior Solutions Engineer
New Brunswick - NJ, United States
Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.
Summary:
We are seeking a highly motivated and experienced Senior Solutions Engineer to partner with our Product Development (PD) organization in identifying and implementing impactful AI/ML solutions. This role is pivotal in transforming complex business challenges into data-driven insights and innovative AI and Machine Learning (AI/ML) applications. You will analyze PD workflows to uncover opportunities for AI-driven improvements, collaborate with cross-functional teams to integrate solutions seamlessly, and ensure alignment with regulatory requirements. Success in this role requires a strong understanding of the business needs, coupled with the technical acumen to guide the development and deployment of generative AI solutions
Responsibilities:
Analyze business requirements and translate them into comprehensive, end-to-end ML/AI solution designs that leverage cloud-native technologies. This includes architecting and designing solutions primarily on AWS, with potential opportunities to work with GCP or Azure
Evaluate and select appropriate large language models (LLMs) and frameworks (e.g., TensorFlow, PyTorch) based on a thorough analysis of business requirements and available data.
Design the fine-tuning strategy, considering data preprocessing, hyperparameter optimization, and evaluation metrics, to ensure the LLM effectively addresses the specific needs of the application
Analyze user and administrator needs to design intuitive and efficient self-service portals that democratize access to ML/AI capabilities within the organization. This includes gathering requirements, defining user workflows, and architecting a portal experience that empowers both technical and non-technical users to leverage ML/AI effectively
Collaborate with product managers, data scientists, and other engineers to define project requirements and deliver high-quality solutions.
Develop and maintain comprehensive documentation, including architecture diagrams, API specifications, and user guides.
Act as a subject matter expert on AI/ML, providing guidance and mentorship to other team members.
Contribute to the development of reusable components, libraries, and best practices for ML/AI development.
Monitor and analyze the performance of ML/AI solutions, identifying areas for improvement and implementing optimizations.
Stay up-to-date with the latest advancements in generative AI research and technology, and evaluate their potential application to our business.
Participate in code reviews and contribute to the improvement of our software development processes.
Required Skills:
5+ years of experience as a Senior Software Engineer with a focus on AI and machine learning.
3+ years of hands-on experience building and deploying generative AI solutions using large language models (LLMs), diffusion models, or other generative techniques.
Deep understanding of LLM architectures, training methodologies, and fine-tuning techniques.
Proven experience in prompt engineering, including the ability to design effective prompts for various tasks.
Strong programming skills in Python and experience with relevant libraries such as TensorFlow, PyTorch, Transformers, etc.
Experience with cloud platforms such as AWS (preferred), Azure, or Google Cloud.
Proficiency with DevOps principles and tools, including CI/CD pipelines and infrastructure-as-code (IaC) practices.
Experience with API design and development (REST, GraphQL).
Strong understanding of data engineering principles and practices.
Experience working with various data formats and databases.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Preferred Skills:
Experience with specific LLMs such as GPT-3, LaMDA, Llama 2 or similar.
Experience with vector databases like Pinecone, Weaviate, or Chroma.
Experience building AI agents using frameworks like Langchain or AutoGPT.
Experience with MLOps tools and techniques for managing the lifecycle of machine learning models.
Experience with cloud security best practices and compliance requirements.
Experience with front-end development using React or similar frameworks.
Experience with containerization technologies such as Docker and Kubernetes.
AWS Certified Machine Learning – Specialty or similar AI related certifications.
Experience with prompt engineering specific to code generation (e.g., using GenAI to automate coding tasks).
Educational, Professional, and Technical Expertise:
Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Master's degree preferred.
5+ years of experience as a hands-on coding role in projects related to cloud, software development and/or AI/ML.
3+ years directly working with AWS cloud as a developer.
Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud
Strong verbal and written communication skills (content creation such as whitepapers, system diagrams, etc.).
Ability to explain complex technology concepts to both technical and non-technical audiences at all levels in the organization.
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture AWS Azure CI/CD Computer Science Content creation DevOps Diffusion models Docker Engineering Excel GCP Generative AI Google Cloud GPT GPT-3 GraphQL Kubernetes LangChain LLaMA LLaMA2 LLMs Machine Learning ML models MLOps Pinecone Pipelines Privacy Prompt engineering Python PyTorch React Research Security TensorFlow Transformers Weaviate
Perks/benefits: Career development
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