Specialist, AI/ML
USA - New Jersey - Rahway, United States
Job Description
Job Description:
We are seeking a highly skilled and proactive AI/ML engineer with strong problem-solving mindset to join our dynamic team at the Digital, Data & Analytics group within Human Health division. The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, including GenAI, with expertise in developing and implementing scalable AI solutions. They should possess a deep understanding of MLOps and have a solid foundation in building and deploying AI/ML solutions. You’ll be working with our partners across the organization to create sustainable and scalable AI/ML products.
Key Responsibilities:
Develop, deploy, and maintain cutting-edge GenAI solutions and frameworks to solve business problems and optimize processes.
Collaborate with cross-functional teams to understand business needs and translate them into scalable AI/ML solutions.
Implement and maintain MLOps and DevOps best practices to streamline the deployment processes.
Write efficient and maintainable code following best practices in software engineering.
Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies. Participate in research activities, explore new methodologies, and contribute to the development of innovative GenAI solutions
Stay up-to-date with the latest trends, techniques, and advancements in the field of GenAI and related areas.
Collaborate with data engineers to ensure data pipeline efficiency and accuracy.
Continuously iterate and refine retrieval augmented generation (RAG) methods and experiment with different retrieval strategies like information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models.
Continuously monitor and improve the performance and efficiency of GenAI solutions
Communicate effectively with stakeholders, including presenting complex technical concepts in a clear and concise manner, and contribute to strategic decision-making.
Utilize data visualization tools and techniques to present complex data in a clear and understandable manner
Independently analyze, proactively identify pain points, and propose solutions to complex problems, guiding the team and senior management towards successful outcomes
Requirements:
A Bachelor's degree with 2+ years of experience, or a Master's degree or higher, in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related field
Strong foundation in programming languages such as Python and SQL
Able to work with SQL or NoSQL databases to access and analyze data
Assist in the collection, cleaning, and preprocessing of structured and unstructured data from various sources
Familiar in building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling.
Familiarity with CI/CD and test-driven development
Solid foundational knowledge of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics).
Familiarity with data analysis and machine learning libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow)
Familiarity with Retrieval Augmented Generation (RAG) techniques and prompt engineering techniques, reinforcement learning through human feedback, and other fine-tuning strategies.
Strong communication and collaboration skills.
Must be analytical, detail-oriented, and able to manage multiple projects simultaneously.
Preferred:
Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure)
Experience with building, deploying, and managing docker images.
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:
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:
$101,100.00 - $159,100.00Available 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:
RegularRelocation:
No relocationVISA Sponsorship:
NoTravel Requirements:
10%Flexible Work Arrangements:
HybridShift:
Not IndicatedValid Driving License:
NoHazardous Material(s):
N/ARequired Skills:
Data Engineering, Data Modeling, Data Science, Data Visualization, Generative AI, Machine LearningPreferred Skills:
Job Posting End Date:
01/30/2025*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.
ApplyJob Profile
Hybrid Hybrid work Hybrid work model On-site Puerto Rico residents only US and Puerto Rico residents only
Benefits/PerksBonus eligibility Collaboration Diverse workplace Equal opportunity Equal opportunity employer Flexible work Flexible work arrangements Health Care Hybrid work Hybrid work model Inclusion Inclusive environment Insurance Paid holidays Retirement benefits Sick Days Vacation
Tasks- Analyze data
- Collaborate with Data Engineers
- Collaborate with teams
- Collaboration
- Communication
- Compliance
- Conduct research
- Data Analysis
- Data engineering
- Data modeling
- Data visualization
- Develop and maintain AI solutions
- Implement MLOps
- Innovation
- Machine Learning
- Manage multiple projects
- Optimize processes
- Present findings
Access AI AI/ML Algorithms Analysis Analytical Analytics Artificial Intelligence AWS Azure Best Practices CI/CD Cleaning Cloud Cloud Computing Cloud Services Collaboration Communication Compliance Computer Computer Science Cross-functional Teams Data Data analysis Data & Analytics Database Databases Data engineering Data Modeling Data Pipeline Data Pipelines Data Science Data Visualization Data visualization tools Deep Learning Deployment Development DevOps Digital Docker Education Engineering Evaluation GCP GenAI Generative AI Inclusion Innovation Learning Machine Learning Management Manufacturing Mathematics Methodologies Metrics ML MLOps Modeling Neural Networks NoSQL Numpy Optimization Optimization algorithms Organization Pandas Problem-solving Programming Prompt Engineering Python Reinforcement Learning Research Science Scikit-learn Software Engineering SQL Statistics Strategic decision-making Teams Technical Technology TensorFlow Test Driven Development Unstructured data Visualization Visualization Tools
Experience2 years
EducationArtificial Intelligence AS Bachelor Bachelor's Bachelor's degree Business Computer Science Data Science Degree Development Engineering Health Care Higher Management Master Master's Master's degree Mathematics Related Field Science Software Engineering Statistics Technology
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9