Merck & Co Hiring for Machine Learning Engineer / ML Ops Hybrid Engineer – Hybrid job in Rahway Full Time

Job Description

Position Description:

Machine Learning Engineer / MLOps Hybrid Engineer

The Team
The Data Platform team for our Animal Health division creates end to end data products to support internal and external customer initiatives. The team is responsible for provisioning cloud infrastructure, data ingestion, transformation, and storage and for development and deployment of data science and BI capabilities. The team works with product owners, data scientists, business stakeholder, and domain leads to deliver data products and Data as a Service capabilities.- The team ingests and processes data from multiple technologies in the Animal Health industry and creates and deploys Machine Learning algorithms that generate actionable insights to improve animal wellbeing worldwide.-
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The Role
We are looking for a machine learning engineer who also has experience performing ML Ops Engineering duties for a hybrid role, that will build scalable data science applications ready for production. As a member of the Data Platform team, you will have opportunity to work with a modern data architecture and experience a range of cloud data tools. You will design/automate/deploy data engineering and machine learning pipelines. You will work with data engineers, cloud engineers, data scientists, QA engineers and developers to help bring customer facing applications in the Animal Health industry to life. As an ML Engineer/MLOps Hybrid Engineer in the Animal Health space, you will have the opportunity to collaborate with Data Scientist to Some sources of data includes data on cattle, pigs, and companion animals such as cats and dogs. You will work with cross-functional teams within the different species space to improve or develop ML solutions for new or existing applications. The capabilities you help develop can have an impact in improving animal wellbeing worldwide. The team is in the forefront of technology and innovation, and you will be encouraged to explore new technologies and recommend solutions to help us expand our capabilities.

Key Responsibilities

• Optimize and modernize ML Code written by Data Scientists across the organization for productionizing ML models
• Collaborate with business owners to develop solutions for new data products
• Design, develop and maintain MLOps workflows and dependent infrastructure with DevOps and Cloud teams
• Advocate for the adoption of MLOps practices with Data Scientists across the organization
• Research and implement new technologies that can improve current workflows in ML and MLOps

Position Qualifications :

Education Minimum Requirement:

• Bachelor or Master’s degree in Data Science, Physics, Mathematics, Statistics, Computer Science or related field
• Master’s Degree (preferred)

Required Experience and Skills:

• 3 years of experience with Python, R or Scala (PySpark as a bonus)
• 2 years of experience with Data Science and ML packages like MLFlow, Tensorflow, Scikit-Learn, Keras, XGBoost
• Experience working with big data – structured and unstructured
• Experience working in a Data Science tool (Dataiku, SageMaker or Databricks preferred)
• Deep understanding of traditional statistics with concepts like Regularization, Linear Regression Analysis and other basic statistical tests
• Deep understanding and development of machine learning models like Naïve Bayes, Random Forest, kNN, SVM, Logistic Regression, Clustering
• Deep understanding of ML concepts like Hyperparameter Tuning, Optimization and Search Methods, Feature Engineering and Selection, Model Drift and Evaluation, Boosting and Bagging
• Strong SQL Knowledge
• Experience with structured and unstructured data
• Solid understanding of object-oriented programming concepts
• Knowledge of machine learning model lifecycle management framework
• Knowledge of core capabilities of model performance monitoring
• Experience with distributed computing and cloud computing
• Solid understanding of Test Driven Development programming approach
• Experience of using Git and GitHub (GitHub Actions as a bonus)
• Experience productionizing MLOps workflows
• Experience designing and implementing data engineering pipelines
• Excellent verbal and written communication skills in English

Preferred Experience and Skills:

• +3 years of hands on experience in building data science applications and machine learning pipelines or programming experience
• Development experience in at least one programming language: Python, Java, NodeJS, C++, etc.
• Previous MLOps experience
• Experience with cloud computing platforms, AWS preferred with services like Lambda, API Gateway, Sagemaker, S3
• Familiarity with Terraform and AWS CDK
• Experience with end-to-end data platform technologies like Databricks and Dataiku
• Familiarity with Databricks DeltaLake and Data Ingestion
• Experience with Automation tools like Airflow
• Experience with cloud computing – AWS tools – such as Lambda, EC2, EMR, Cloud9
• Experience with version control/ project management tools – Bitbucket, Jira, Confluence
• Experience with containerizing and deploying models
• Experience working with DevOps teams

Rockstar Level

• Experience with implementation of Large Language Models, Deep Learning Models, Reinforcement Learning
• Experience with RESTful API development
• Experience with backend development languages and frameworks like Node.js or Typescript
• Experience with front-end web development technologies such as React.js, HTML and CSS

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.

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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 separationpackage, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). -Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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:
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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

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. 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 salary range:
$80,320.00 – $126,500.00

Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. – For Washington State Jobs, a summary of benefits is listed here .

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:
Domestic

VISA Sponsorship:
No

Travel Requirements:
10%

Flexible Work Arrangements:
Hybrid

Shift:
1st – Day

Valid Driving License:
No

Hazardous Material(s):
n/a

Required Skills:
Information Security, Machine Learning, Perform Testing, Software Development, System Designs, Systems Integration

Preferred Skills:
Algorithms, Algorithms, Application Lifecycle Management (ALM), AWS Cloud Services, Cloud Automation, Cloud Computing, Communication, Computer Engineering, Data Architecture, Deep Learning, DevOps, Engineering Technology, Initiative Activity, Inventory Management, IT Automation, Logistics Operations, Manufacturing Engineering, Mechanical Engineering, Object Oriented Programming Techniques, Random Forest, Research Development, RESTful APIs, Scala, Statistics, Systems Engineering {+ 3 more}

Requisition ID:R254791