MSD Malaysia
Senior AI/ML Engineer
MSD Malaysia, Rahway, New Jersey, us, 07065
time left to apply End Date: January 19, 2025 (13 days left to apply)
job requisition id R326734
Job Description
We are on a mission to revolutionize the way our company leverages cutting-edge advancements in data science and generative AI with our industry-leading technology stack. If you're passionate about driving innovation through the latest advancements in AI and making the enterprise future ready for the next wave of AI and generative AI advancements, then this opportunity is for you! You will join the Data science platforms team in our Chief Technology Office (CTO) Division and play a pivotal role in shaping the future of our AI/ML technology landscape. Reporting to the Associate Director, this position is responsible for contributing to the company's top initiatives to leverage and productionize AI/ML at scale. The ideal candidate is someone with a passion for AI/ML and a deep understanding of platforms enabling these with readiness to learn and experiment with emerging advancements.
Join our dynamic team as we push the boundaries of what's possible and lead the charge in technological advancements on a global scale. Responsibilities: Collaborate on Tier 1 initiatives to utilize generative AI for specialized use cases to fast-track drug discovery in the research space. Help set up efficient and secure standards for custom generative AI model usage across the enterprise. Champion MLOps best practices, including model versioning, monitoring, and establishing continuous integration and deployment (CI/CD) pipelines to automate and enhance model deployment processes. Lead the design, development, and deployment of robust data engineering pipelines and machine learning models, ensuring they are scalable, efficient, and maintainable in production environments while considering the latest technologies and methodologies. Collaborate with cross-functional and geographically diverse teams to thoroughly understand business requirements, translating them into impactful data-driven solutions. Mentor and guide junior data scientists, fostering their growth and development while promoting knowledge sharing and collaboration within the team. Communicate findings and insights effectively to stakeholders at all levels, ensuring clarity and actionable recommendations based on data analyses. Mandatory Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field. 5+ years of experience in data science, with a strong focus on MLOps and successfully deploying machine learning models in production settings. Deep expertise in Databricks for data processing, analytics, and developing and deploying machine learning solutions. Proficiency in programming languages such as Python or R, along with substantial experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Exceptional communication and teamwork skills, with demonstrated ability to work collaboratively in cross-functional environments and convey complex ideas to non-technical audiences. Strong analytical and problem-solving skills, with a passion for leveraging data to drive strategic business initiatives. Preferred Qualifications: Comprehensive knowledge of cloud platforms, especially AWS, and experience with services like S3, EC2, Redshift, and other related technologies. Practical experience with MLOps tools and frameworks (e.g., MLflow, Kubernetes), with a track record of implementing effective MLOps strategies. What we offer: Exciting work in a great team, global projects, international environment. Opportunity to learn and grow professionally within the company globally. Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases). Pension and health insurance contributions. 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution. Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes. Up-to-date laptop and iPhone. Parking in the garage, showers, refreshments, library, music corner. Competitive salary, incentive pay, and many more. Search Firm Representatives Please Read Carefully: Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position-specific. Please, no phone calls or emails. Employee Status:
Regular
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We are on a mission to revolutionize the way our company leverages cutting-edge advancements in data science and generative AI with our industry-leading technology stack. If you're passionate about driving innovation through the latest advancements in AI and making the enterprise future ready for the next wave of AI and generative AI advancements, then this opportunity is for you! You will join the Data science platforms team in our Chief Technology Office (CTO) Division and play a pivotal role in shaping the future of our AI/ML technology landscape. Reporting to the Associate Director, this position is responsible for contributing to the company's top initiatives to leverage and productionize AI/ML at scale. The ideal candidate is someone with a passion for AI/ML and a deep understanding of platforms enabling these with readiness to learn and experiment with emerging advancements.
Join our dynamic team as we push the boundaries of what's possible and lead the charge in technological advancements on a global scale. Responsibilities: Collaborate on Tier 1 initiatives to utilize generative AI for specialized use cases to fast-track drug discovery in the research space. Help set up efficient and secure standards for custom generative AI model usage across the enterprise. Champion MLOps best practices, including model versioning, monitoring, and establishing continuous integration and deployment (CI/CD) pipelines to automate and enhance model deployment processes. Lead the design, development, and deployment of robust data engineering pipelines and machine learning models, ensuring they are scalable, efficient, and maintainable in production environments while considering the latest technologies and methodologies. Collaborate with cross-functional and geographically diverse teams to thoroughly understand business requirements, translating them into impactful data-driven solutions. Mentor and guide junior data scientists, fostering their growth and development while promoting knowledge sharing and collaboration within the team. Communicate findings and insights effectively to stakeholders at all levels, ensuring clarity and actionable recommendations based on data analyses. Mandatory Qualifications: Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related field. 5+ years of experience in data science, with a strong focus on MLOps and successfully deploying machine learning models in production settings. Deep expertise in Databricks for data processing, analytics, and developing and deploying machine learning solutions. Proficiency in programming languages such as Python or R, along with substantial experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Exceptional communication and teamwork skills, with demonstrated ability to work collaboratively in cross-functional environments and convey complex ideas to non-technical audiences. Strong analytical and problem-solving skills, with a passion for leveraging data to drive strategic business initiatives. Preferred Qualifications: Comprehensive knowledge of cloud platforms, especially AWS, and experience with services like S3, EC2, Redshift, and other related technologies. Practical experience with MLOps tools and frameworks (e.g., MLflow, Kubernetes), with a track record of implementing effective MLOps strategies. What we offer: Exciting work in a great team, global projects, international environment. Opportunity to learn and grow professionally within the company globally. Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases). Pension and health insurance contributions. 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution. Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes. Up-to-date laptop and iPhone. Parking in the garage, showers, refreshments, library, music corner. Competitive salary, incentive pay, and many more. Search Firm Representatives Please Read Carefully: Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position-specific. Please, no phone calls or emails. Employee Status:
Regular
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