ML Engineer

Pfizer

4.1

(94)

Chennai, India

Why you should apply for a job to Pfizer:

  • 4.1/5 in overall job satisfaction
  • 4.6/5 in supportive management
  • 78% say women are treated fairly and equally to men
  • 79% would recommend this company to other women
  • 81% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • 23-25 Week Maternity Leave (Fully paid for birth parents)
  • Family building benefits include $35,000 fertility services + $25,000 adoption and surrogacy services
  • Pfizer is a founding member of Healthcare Businesswomen's Association Gender Parity Collaborative
  • #4913469

    Position summary

    igital Manufacturing Team provides common application platforms and solution capabilities for Digital Plant, Manufacturing Operations, Manufacturing Execution, Manufacturing Insights and Digital Quality solutions, while ensuring a unified User Centric Design. Key to the success of this transformative digital mindset is the secure, seamless flow of contextualized data from the device & control levels, all the way to the top of the Enterprise. These solutions are deployed across more than fifty manufacturing & center locations across the PGS Globally. Major Core Solutions and team capabilities for the Manufacturing Operations Solutions Team include:

    • This group supports the design, development, delivery and digitization of PGS Manufacturing and Engineering processes. Process Areas (Systems) include Industrial Internet of Things, Enterprise Data Historians, Cybersecurity, Manufacturing Operations Solutions (Manufacturing Intelligence, EAMS Maintenance Mgmt & Calibration, Capital Mgmt, Permit to Work, OEE/RTE, Engineering systems), Manufacturing Execution Systems and Manufacturing Innovative Technologies including AI/ML and Generative model based digital solutions.

    The ML Engineer plays a key role in delivering the future of Advanced Manufacturing Capabilities within the Digital Manufacturing Organization. This colleague will collaborate closely with Data Scientists and other engineering teams to design, implement, and maintain systems that operationalize and scale our data and machine learning pipelines. Their expertise in machine learning operations and cloud infrastructure will be crucial in ensuring the successful development, deployment, and management of our production machine learning systems. The ideal candidate will have a passion for cutting-edge technology, complex problem-solving, and delivering high-quality solutions.

    ROLE RESPONSIBILITIES

    • Collaborate with Data Scientists and product teams to understand user stories and convert them into technical requirements for machine learning solutions.

    • Design, build, and deploy production machine learning systems on AWS cloud infrastructure within the digital teams.

    • Implement and optimize monitoring, logging, and alerting systems to ensure the health and performance of deployed machine learning models.

    • Work closely with DevOps and infrastructure teams to ensure seamless integration and deployment of machine learning pipelines.

    • Automate and streamline the end-to-end machine learning workflow, including data ingestion, feature engineering, model training, evaluation, and deployment.

    • Implement best practices for version control, model reproducibility, and model deployment.

    • Collaborate with cross-functional teams to identify and address performance bottlenecks, scalability challenges, and data quality issues.

    • Continuously evaluate and adopt emerging technologies and tools to improve the efficiency and effectiveness of machine learning operations.

    BASIC QUALIFICATIONS

    • Bachelor's degree in computer science, Information Systems, or a related field.

    • 6+ years of work experience in medium to ML, including designing, building, and deploying production machine learning systems.

    • Strong expertise in deploying machine learning models on AWS cloud infrastructure.

    PREFERRED QUALIFICATIONS

    • Advanced SQL skills and experience with relational databases and database design.

    • Proficiency in Python and SQL for data manipulation, analysis, and model development.

    • Strong knowledge of Linux, Docker, and Kubernetes for containerization and orchestration of machine learning applications.

    • Passion for learning and staying updated with the latest advancements in machine learning, MLOps, and cloud technologies.

    • Excellent communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

    Work Location Assignment: Flexible

    Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

    Information & Business Tech

    #LI-PFE

    Why you should apply for a job to Pfizer:

  • 4.1/5 in overall job satisfaction
  • 4.6/5 in supportive management
  • 78% say women are treated fairly and equally to men
  • 79% would recommend this company to other women
  • 81% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • 23-25 Week Maternity Leave (Fully paid for birth parents)
  • Family building benefits include $35,000 fertility services + $25,000 adoption and surrogacy services
  • Pfizer is a founding member of Healthcare Businesswomen's Association Gender Parity Collaborative