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Machine Learning Engineer

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

AI generated summary

  • You need a degree in a quantitative field, 2 years' experience, skills in ML, Python, SQL, data visualization, ETL, AWS Glue, Linux, and MLOps tools, plus strong communication abilities.
  • You will develop machine learning solutions, collaborate with data scientists, and create impactful metrics, all while building pipelines from data feasibility to presenting results to leaders.

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

  • 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 kind of technologies will I work with as a Machine Learning Engineer?

You will work with machine learning and artificial intelligence solutions, develop state-of-the-art machine learning pipelines, and utilize tools such as Python, SQL, and various orchestration and MLOps platforms.

What level of education is required for this position?

A Bachelor’s or Master’s degree with 2 years of experience in a relevant field is required, or a Ph.D. degree in a quantitative discipline such as artificial intelligence, computer science, or applied mathematics.

Is experience in the healthcare industry necessary?

While prior experience in the healthcare industry is beneficial, it is not strictly necessary. Candidates with experience in technology or start-ups may also qualify.

What programming languages should I be proficient in?

Proficiency in Python and SQL is required for this position.

Will I need to build visualizations as part of my role?

Yes, building impactful visualizations is a key responsibility for this position.

What type of projects will I be involved in?

You will be involved in developing machine learning and AI solutions to improve global drug development processes, as well as contributing to patient modeling and trial simulations.

Are there any specific tools or frameworks that I should be familiar with?

Yes, familiarity with building ETL frameworks, AWS Glue, and orchestration/MLOps tools such as Jenkins, MLFlow, or Airflow is preferred.

Is communication with cross-functional leaders part of the job?

Yes, a key aspect of the role is to clearly articulate technical methods and results to cross-functional leaders to facilitate decision-making.

What skills are essential for success in this role?

Essential skills include strong machine learning knowledge, excellent interpersonal and communication skills, and the ability to work in agile development teams.

Do I need to have experience with Linux environments?

Yes, proficiency in a Linux environment is required for this position.

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.