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Machine Learning Engineer

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Johnson & Johnson

6d ago

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Mumbai

AI generated summary

  • You need a relevant degree with 2 years experience, machine learning skills, Python/SQL proficiency, ETL knowledge (AWS Glue preferred), and strong communication abilities.
  • You will develop AI/ML solutions, create pipelines, simulate trials, transform data, collaborate with data scientists, and present findings to drive R&D decision-making.

Requirements

  • A Bachelor or Master's degree with 2 years of experience within a start-up, technology, or healthcare industry or a Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, or similar)
  • Experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression and classification, and natural language processing
  • Proficiency with Python and SQL programming languages
  • Proficiency in building impactful visualizations
  • Experience building ETL frameworks including maintaining and measuring data quality and reporting. Experience with AWS Glue preferred
  • Proficiency with a Linux environment
  • Experience with at least one orchestration and MLOps tool, for example Jenkins, MLFlow, Airflow
  • Passionate about leveraging data to drive scientific innovation
  • Excellent interpersonal, communication, and presentation skills
  • Ability to effectively communicate technical work to a wide audience
  • Fluent in English

Responsibilities

  • Successful candidates will develop cutting-edge methodologies to drive global development decisions and positively impact the way we conduct trials for patients. We are looking for outstanding scientists whose responsibilities include:
  • Develop machine learning and artificial intelligence solutions to accelerate and enable our R&D global drug development business processes
  • Work in agile development teams to develop state of the art machine learning pipelines
  • Contribute to patient modeling and trial simulations
  • Implement and define execution strategies for individual AI and machine learning projects
  • Process and transform data to impactful metrics maximizing productivity with artificial intelligence
  • Closely partner with the data scientists to execute on the priorities, building a roadmap to deliver the projects from data feasibility to final presentation to senior cross-functional leaders
  • Clearly articulate highly technical methods and results to partners to drive decision-making
  • Build multi-modal machine learning pipelines using internal and external data such as clinical operations data, productivity data, real-world data, financial, and socio-demographic data

FAQs

What is the primary focus of the Machine Learning Engineer role at Johnson & Johnson?

The primary focus of the Machine Learning Engineer role is to develop machine learning and artificial intelligence solutions that accelerate and enable R&D global drug development business processes.

What qualifications are required for this position?

Candidates are required to have a Bachelor or Master's degree with 2 years of experience or a Ph.D. in a quantitative discipline such as artificial intelligence, computer science, or applied mathematics.

What programming skills are necessary for this position?

Proficiency in Python and SQL programming languages is necessary for this position.

Is experience with cloud services important for this role?

Yes, experience with AWS Glue for building ETL frameworks is preferred, along with proficiency in maintaining and measuring data quality and reporting.

What types of data will the Machine Learning Engineer be working with?

The Machine Learning Engineer will work with multi-modal data including clinical operations data, productivity data, real-world data, financial and socio-demographic data.

What kind of team structure will the Machine Learning Engineer be a part of?

The Machine Learning Engineer will work in agile development teams alongside data scientists and cross-functional leaders.

What skills are required for effective communication in this role?

Excellent interpersonal, communication, and presentation skills are required, as well as the ability to effectively communicate technical work to a wide audience.

What tools and frameworks should candidates be familiar with?

Candidates should have experience with orchestration and MLOps tools such as Jenkins, MLFlow, or Airflow, as well as proficiency in a Linux environment.

Are there opportunities for innovative project work in this position?

Yes, successful candidates will develop cutting-edge methodologies and contribute to patient modeling and trial simulations, providing opportunities for innovative project work.

What qualities are valued in candidates for this position?

A passion for leveraging data to drive scientific innovation and the ability to clearly articulate highly technical methods and results to partners are valued qualities in candidates for this role.

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Johnson & Johnson

Hospitals and Health Care

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Profound Change Requires Boldness. Johnson & Johnson is the largest and most diversified healthcare products company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world.