Senior AI Engineer

Bayer; Bengaluru; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Bayer in Bengaluru, Karnataka, India is seeking a Senior AI Engineer to lead design, development, and deployment of AI solutions addressing complex business problems. You will work with data scientists, data engineers, and cloud engineers to deliver value through ML and AI technologies.

The role emphasizes building scalable models, productionizing AI via AWS/Azure/GCP, maintaining data pipelines, ensuring data quality, and mentoring the team to improve accuracy and reliability in production.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science or related field.
• Strong expertise in machine learning, deep learning, and MLOps.
• Experience with cloud platforms and software engineering practices.

Responsibilities

• Lead design and development of ML models and algorithms.
• Implement scalable AI products aligned with business objectives.
• Leverage cloud technologies to productionize models.
• Design robust data pipelines with data engineers.
• Lead data preprocessing, ingestion, and transformation.
• Establish data quality assurance and drift detection.
• Mentor team on model training and industrialization.
• Evaluate and tune models using performance benchmarks.
• Integrate AI models into existing software systems.
• Deploy AI solutions with version control, monitoring, and maintenance.
• Maintain documentation of models and processes.
• Collaborate with stakeholders to gather requirements.

Skills

Machine Learning

Deep Learning

MLOps

Cloud Platforms

Software Engineering

Education

Bachelor’s or Master’s degree in Computer Science, AI, Data Science

Job description

Position Purpose

A Senior AI Engineer leads the design, development, and implementation of artificial intelligence solutions that address specific business problems. Individuals in this role have extensive experience with machine learning models, natural language processing, computer vision, or other AI technologies. They collaborate closely with data scientists, data engineers, and cloud engineers to deliver AI solutions that drive business value.

Your Tasks and Responsibilities

• 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 AI solutions 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 of AI 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.
• Collaboration and Communication Maintain comprehensive documentation of AI models, algorithms, solution architecture and processes to ensure transparency and facilitate knowledge sharing within the team.
• Engage proactively with team members and stakeholders to gather requirements, provide insights, and deliver effective AI solutions that align with project goals.
• Communicate complex AI concepts and project results effectively to both technical and non-technical stakeholders, fostering understanding, collaboration, and informed decision-making.
• Research and Innovation Stay abreast of emerging AI trends, technologies, and methodologies, actively contributing to the enhancement of team capabilities and innovation.
• Conduct research and experimentation to explore new AI techniques and approaches.

Who You Are

• 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 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