Aitopics
Lead Machine Learning Engineer
Aitopics, Ocean Grove, New Jersey, United States,
Roche
As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally. Roche fosters diversity, equity, and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The Position
The Opportunity:At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.PTE is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.As the Lead Machine Learning Engineer at Roche PTE, you will spearhead the development and deployment of machine learning models that enhance our pharmaceutical operations. You will lead a team of machine learning engineers and collaborate with data scientists, engineers, and business stakeholders to deliver innovative solutions that drive operational excellence, predictive analytics, and automation.Key Responsibilities:Lead the design, development, and deployment of scalable and maintainable machine learning models to address complex challenges in pharmaceutical manufacturing and operations, ensuring seamless integration into production environments.Collaborate with data engineers to establish robust data pipelines that effectively support model performance.Lead and mentor a team of machine learning engineers, fostering innovation and continuous learning.Ensure model performance and optimization by monitoring deployed models for accuracy, efficiency, and reliability, implementing continuous retraining strategies, and leveraging advanced techniques like hyperparameter tuning, feature engineering, and model ensembling to enhance outcomes.Drive innovation and continuous improvement by staying current with advancements in machine learning and AI.Manage stakeholder communication by simplifying complex ML concepts for non-technical audiences.Apply strong coding practices, including modular and reusable code (SOLID principles), version control, testing and automation, CI/CD pipelines, thorough documentation, code reviews, and performance optimization.Who you are:Education:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus.Experience:5+ years of experience in machine learning engineering, with a track record of successfully deploying models in production.Proven experience leading and mentoring a team of machine learning engineers.Technical Skills:Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.In-depth knowledge of machine learning algorithms, including supervised and unsupervised models.Experience with experiment tracking frameworks (e.g., Weights & Biases, Neptune.ai, or TensorBoard).Proficiency in programming languages such as Python, R, or Scala.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.Interpersonal skills:Able to demonstrate an enterprise mindset and entrepreneurial behaviors broadly across different work scenarios.Able to communicate a compelling story and complex concepts with aspirational language.Preferred Qualifications:Experience in the pharmaceutical or healthcare industry.Knowledge of regulatory requirements related to pharmaceutical data (e.g., GMP, FDA).Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Our success is built on innovation, curiosity, and diversity.Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave, and 10 weeks of gender-independent partnership leave.We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
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As a pioneer in healthcare, we have been committed to improving lives since the company was founded in 1896 in Basel, Switzerland. Today, Roche creates innovative medicines and diagnostic tests that help millions of patients globally. Roche fosters diversity, equity, and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The Position
The Opportunity:At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.PTE is the organization that catalyzes the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.As the Lead Machine Learning Engineer at Roche PTE, you will spearhead the development and deployment of machine learning models that enhance our pharmaceutical operations. You will lead a team of machine learning engineers and collaborate with data scientists, engineers, and business stakeholders to deliver innovative solutions that drive operational excellence, predictive analytics, and automation.Key Responsibilities:Lead the design, development, and deployment of scalable and maintainable machine learning models to address complex challenges in pharmaceutical manufacturing and operations, ensuring seamless integration into production environments.Collaborate with data engineers to establish robust data pipelines that effectively support model performance.Lead and mentor a team of machine learning engineers, fostering innovation and continuous learning.Ensure model performance and optimization by monitoring deployed models for accuracy, efficiency, and reliability, implementing continuous retraining strategies, and leveraging advanced techniques like hyperparameter tuning, feature engineering, and model ensembling to enhance outcomes.Drive innovation and continuous improvement by staying current with advancements in machine learning and AI.Manage stakeholder communication by simplifying complex ML concepts for non-technical audiences.Apply strong coding practices, including modular and reusable code (SOLID principles), version control, testing and automation, CI/CD pipelines, thorough documentation, code reviews, and performance optimization.Who you are:Education:
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field. Ph.D. is a plus.Experience:5+ years of experience in machine learning engineering, with a track record of successfully deploying models in production.Proven experience leading and mentoring a team of machine learning engineers.Technical Skills:Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.In-depth knowledge of machine learning algorithms, including supervised and unsupervised models.Experience with experiment tracking frameworks (e.g., Weights & Biases, Neptune.ai, or TensorBoard).Proficiency in programming languages such as Python, R, or Scala.Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (AWS, GCP, Azure).Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.Interpersonal skills:Able to demonstrate an enterprise mindset and entrepreneurial behaviors broadly across different work scenarios.Able to communicate a compelling story and complex concepts with aspirational language.Preferred Qualifications:Experience in the pharmaceutical or healthcare industry.Knowledge of regulatory requirements related to pharmaceutical data (e.g., GMP, FDA).Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Our success is built on innovation, curiosity, and diversity.Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave, and 10 weeks of gender-independent partnership leave.We believe in the power of diversity and inclusion, and strive to identify and create opportunities that enable all people to bring their unique selves to Roche.
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