Senior AI Engineer

About this role

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Skills you'll use

What you'll do

• AI Solution Development Lead the design and development of innovative machine learning models and algorithms in cross-functional teams to effectively address specific business challenges.
• Lead the implementation of scalable AI products, ensuring alignment with user requirements and strategic business objectives.
• Leverage state-of-the-art cloud technologies (e.g., AWS, Azure, Google Cloud) to optimize the industrialization of machine learning models and AIsolutions for production deployment. Provide expert operational support and guidance for machine learning models and algorithms, ensuring their reliability and performance in production environments.
• Data Engineering Lead the architecture and design of robust, scalable data pipelines in collaboration with data engineers, cloud engineers, and data scientists, enhancing data access and processing capabilities.
• Lead data preprocessing, ingestion, and transformation activities across hybrid environments (both on-premises and cloud), ensuring adherence to best practices and organizational standards.
• Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity.
• Data Science Mentor and guide team members in the model training process, focusing on industrialization through cloud technologies and achieving accuracy, reliability through experimentation and iterative improvements.
• Lead the evaluation and tuning of models, utilizing metrics and performance benchmarks to refine model parameters and enhance predictive capabilities.
• Integration and Deployment Lead the integration ofAI models into existing software systems and workflows, ensuring seamless functionality and optimal user experience.
• Direct the deployment of AI solutions into production environments, implementing best practices for version control, architecture, monitoring, and ongoing maintenance.

Who can apply

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field, along with strong expertise in machine learning, deep learning, programming, mathematics, MLOps, cloud platforms, and software engineering.
• Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here
• https://www.bayer.com/enfstrategyfstrategy
• Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.
• Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.
• YOUR APPLICATION
• Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.
• Location:India : Karnataka : Bangalore
• Division:Enabling Functions
• Reference Code:879982

About Bayer

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