Job Description

Manager - Machine Learning Engineering

At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world\xe2\x80\x99s greatest health threats.

Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to be a Founder, and serve in the role of Manager ML Engineering.

The role involves working with our partners across the organization to help them drive value by through scalable machine learning and data science solutions. You will be working with a scrum team comprising of data scientists, business analysts, data engineers, and subject matter experts to deliver well-defined projects. You will be tasked with designing and creating machine learning models and retraining systems. You will also have to manage a team of junior ML Engineers to ensure they are utilized appropriately and are working on impactful problems. Often, you will have to lead the steps from taking a prototype built by a data scientist and work with the team to put that model in production. This will involve making the model scalable and efficient (parallelizing, using appropriate libraries, adding basic efficiencies from the code/data/architecture etc.). This can also entail building or rewriting the model from scratch. Creating a model governance architecture for retraining (upon drift) will also be your responsibility. In addition, creating the architecture/framework for performance evaluation and feedback loop will also be expected, prior to handover to ML Ops team.

Your model deployment will most likely be in the cloud (AWS), and we\xe2\x80\x99ll look for the appropriate experience at your end. Any experience with dataiku is a plus. Some reporting and visualization skills will come in handy too. You don\xe2\x80\x99t have to be an expert in any of these topics but need to be able to demonstrate aptitude and some experience. Experience with healthcare data (specifically, RWE data and claims, EHR) is a plus. Healthcare data is sometimes unstructured and mostly in the form of text and images, so NLP and/or computer vision experience is a desirable. We will look to your help in creating technical roadmaps for the projects, and in their nimble execution. We are looking for someone with 4+ years of experience in the data science/engineering space.

Required Experience and Skills:

• Minimum 4+ years of professional experience in Applied Machine Learning, with at least 2 years on cloud environment (AWS, Azure, GCP).

• Experience with AWS Tech Stack (Sagemaker, glue jobs, step functions, airflow, etc.). Experience in model governance & monitoring, CI/CD (Jenkins, etc.), pylint. Experience in putting models into production, Building microservices from models (And notebooks), Experience with papermill (Good to have), Comfortable with Command Line, Experienced with Containers and Kubernetes

• Self-motivation, proactivity, and ability to work independently with minimum direction.

• Excellent business acumen, with proven ability to understand business processes in detail \xe2\x80\x93 both at global and region/country levels \xe2\x80\x93 and translate these into user stories and detailed business requirements.

• Excellent interpersonal and communication skills, along with the ability to communicate appropriately and confidently with colleagues from different backgrounds and seniority levels.

• Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively.

• Hands-on experience writing production-grade ML code.

Preferred Experience and Skills:

Coding:

• Hands on coding experience in Python/R/Scala/Java or any other OOP; ETL using SQL/shell scripting.

• Some experience in SageMaker, Databricks, MLflow Spark/distributed compute environment.

• Experience using cloud-based SQL & noSQL databases (Redshift, BQ, Athena, Mongo, so on).

• Any experience with MLOPs tools is also a plus.

Delivery:

• Experiences with project management and data analytics project delivery. Ability to communicate with business user/customer and with IT operations. Good overview of complex Data analytics solutions, ability to explain consequences to both IT and business.

Education Minimum Requirements:

• BE/B. Tech degree in Science, Engineering, Mathematics or related quantitative field

• MS/M. Tech preferred

Our Human Health Division maintains a \xe2\x80\x9cpatient first, profits later\xe2\x80\x9d ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide.

Who we are \xe2\x80\xa6

We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world\'s most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world.

What we look for \xe2\x80\xa6

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\xe2\x80\x94and 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\xe2\x80\x99s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace.

#HHIADIND

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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:

Travel Requirements:

Flexible Work Arrangements:

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Valid Driving License:

Hazardous Material(s):

Number of Openings: 2

Merck Sharp & Dohme