Machine Learning Engineer at Johnson & Johnson – Mumbai, Maharashtra

Machine Learning Engineer at Johnson & Johnson – Mumbai, Maharashtra

Johnson & Johnson

Salary: 4 - 9 LPA / Yearly

Location: Mumbai

Posted On: January 31, 2025

Experience Level: entry-level

Employment Type: Full-time

Join Johnson & Johnson as a Machine Learning Engineer in Mumbai. Develop cutting-edge AI/ML solutions to revolutionize healthcare. Apply now to shape the future of health innovation!


At Johnson & Johnson, we believe health is everything. Our commitment to healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured. As a global leader in Innovative Medicine and MedTech, we are uniquely positioned to deliver breakthroughs that profoundly impact health for humanity.


We are seeking a talented Machine Learning Engineer to join our Data Science and Digital Health (DSDH) team within Johnson & Johnson Innovative Medicine. This is an exciting opportunity to develop cutting-edge AI/ML solutions that accelerate global drug development and transform the way we conduct clinical trials for patients.


Key Responsibilities

As a Machine Learning Engineer, you will:

  • Develop machine learning and artificial intelligence solutions to optimize R&D global drug development processes.
  • Collaborate with agile development teams to build state-of-the-art machine learning pipelines.
  • Contribute to patient modeling and trial simulations to enhance clinical trial efficiency.
  • Design and implement execution strategies for AI/ML projects, ensuring alignment with business goals.
  • Process and transform complex datasets into actionable insights using advanced data analytics techniques.
  • Partner with data scientists to deliver projects from data feasibility to final presentation for senior leadership.
  • Build multi-modal machine learning pipelines using diverse data sources, including clinical operations, real-world data, and socio-demographic data.
  • Communicate technical methods and results effectively to cross-functional teams to drive decision-making.


Qualifications

To thrive in this role, you should have:

  • Bachelor’s or Master’s degree with 2+ years of experience in a start-up, technology, or healthcare industry, or a Ph.D. in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics).
  • Expertise in machine learningdeep learningstatistical modeling, and natural language processing.
  • Proficiency in Python and SQL programming languages.
  • Experience building ETL frameworks and maintaining data quality (experience with AWS Glue is a plus).
  • Familiarity with Linux environments and MLOps tools such as Jenkins, MLFlow, or Airflow.
  • Strong skills in data visualization and the ability to present technical findings to non-technical audiences.
  • A passion for leveraging data to drive scientific innovation and improve healthcare outcomes.
  • Excellent interpersonal, communication, and presentation skills.
  • Fluency in English.


Why Join Johnson & Johnson?

At Johnson & Johnson, we value our employees and offer a comprehensive benefits package, including:

  • Competitive salary and performance-based bonuses.
  • Opportunities for professional growth and development.
  • A collaborative and inclusive work environment that fosters innovation.
  • Access to cutting-edge technology and resources.
  • Health and wellness programs, including medical, dental, and vision coverage.
  • Flexible work arrangements to support work-life balance.
  • A chance to make a meaningful impact on global health outcomes.


If you are passionate about using machine learning and artificial intelligence to revolutionize healthcare, we want to hear from you! Join us at Johnson & Johnson and be part of a team that is changing the trajectory of human health.


Apply now to take the next step in your career and help us shape the future of healthcare innovation.

Required Skills:

  • machine learning
  • deep learning
  • statistical modeling
  • natural language processing
  • Python
  • SQL
  • ETL frameworks
  • MLOps tools

Interested in this job?

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