BENGALURU · FULLTIME
Sr AI Engineer
Bayer Zydus Pharma
Bengaluru · onsite · Posted 41d ago
Sourced from
Undisclosed2–6 yrsfulltimeBengaluru
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.4s
- Found the form on Naukri · 6 questions to answer1.6s
- Decided the answers for all of them2.5s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Senior AI Engineer
Position Purpose
Your Tasks and Responsibilities
Who You Are
Location
Division
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
Location
Bangalore, Karnataka, India
Division
Enabling Functions
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data qualitycloud platformsai modelscloud technologiesComputer Visionamazon web servicesai technologiesai engineerdata preprocessingData EngineeringcloudAlgorithmsArchitectureAi SolutionsMicrosoft AzureData PipelineArtificial Intelligence
Section · Company
About Bayer Zydus Pharma

Bayer Zydus Pharma
Chemicals
750
employees
2011
15 years old
Thane
India
₹7.8L PA avg
Avg at Bayer Zydus Pharma
About
Joint venture delivering pharmaceutical products in India, focusing on various healthcare segments including women’s health and oncology.
Industries
ChemicalsHealthcare / Pharma
Employee ratings
10 reviews
3.4/ 5
Culture
3.2
Career growth
2.5
Work-life
3.3
Employees rate it well for
Work-Life Balance34Skill Development34
Find them on