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Senior Specialist, AI Engineering (Hybrid)

AT Merck
Merck

Senior Specialist, AI Engineering (Hybrid)

Rahway, NJ

Job Description

Job Title : Senior Specialist, AI Engineering

We are investing in ourselves to change the way our company develops and harnesses the power of Artificial Intelligence. If you're eager to spearhead groundbreaking technologies that will make a meaningful impact on people's lives within a world-renowned pharmaceutical company, then look no further, we have the perfect role for you!

The AI Engineer will redefine what's possible and unleash the potential of Artificial Intelligence. Reporting to the Director, Intelligence Automation & Hyperautomation within our Chief Technology Office, this position is responsible for integrating AI models into production systems to ensure seamless operation for our company. The ideal candidate is a tenacious problem solver with the keen ability to move with urgency to create sustainable solutions.

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Join our team as we pioneer innovative solutions that redefine the boundaries of pharmaceutical advancements on a global scale.

Key Responsibilities:

  • Write efficient and maintainable code following best practices in software engineering.
  • Working with DevSecOps tools for deploying and versioning code.
  • Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies.
  • Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
  • Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup.
  • Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
  • Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions.
  • Present findings and insights to stakeholders and contribute to strategic decision-making.
  • Document AI models, algorithms, and processes thoroughly.
  • Prepare technical reports and presentations to communicate results and methodologies.
  • Stay up to date with the latest advancements in AI and machine learning technologies.
  • Participate in Agile ceremonies with the team to execute on prioritized projects and features.
  • Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.

Minimum education required:

  • Bachelor's in Engineering, Science, Mathematics or Information/Computer related field.

Required experience and skills:

  • 5 years of experience in AI Engineering.
  • Strong programming skills in Python.
  • Experienced in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
  • Experienced with CI/CD and test-driven development
  • Experience in building Restful APIs for AI models.
  • Experience in designing scalable AI Solutions
  • Solid understanding of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
  • Familiar with Retrieval Augmented Generation (RAG) techniques
  • Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
  • Excellent communication and collaboration skills.
  • Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.

Preferred experience and skills:

  • Experience working in an Agile Methodology.
  • Additional programing languages such as Node.js / TypeScript, C#, or Java
  • Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains.
  • Experience with AWS Cloud.
  • Experience with building, deploying, and managing docker images.

What we look for...

Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us - and start making your impact today.

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

#aiml2024

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement

Pay Transparency Nondiscrimination

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as "remote".

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.

Expected US salary range:
$122,800.00 - $193,300.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:
Regular

Relocation:
No relocation

VISA Sponsorship:
No

Travel Requirements:
10%

Flexible Work Arrangements:
Hybrid

Shift:
Not Indicated

Valid Driving License:
No

Hazardous Material(s):
N/A

Required Skills:
AI Systems, Artificial Intelligence (AI), Innovation, Machine Learning, Python (Programming Language), Software Development, Software Development Life Cycle (SDLC), System Designs, Systems Integration, Teamwork, Testing

Preferred Skills:
AWS Cloud Computing, Computer Science

Job Posting End Date:
11/27/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R311285

Client-provided location(s): Rahway, NJ 07065, USA
Job ID: Merck-949329308
Employment Type: Full Time