AI Engineer

Bayer CropScience Limited; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Bayer CropScience Limited in Bengaluru is looking for an AI Solution Development Lead to spearhead the design and development of innovative machine learning models. This role requires proficiency in programming and frameworks like TensorFlow and experience in deploying AI systems.

The ideal candidate will hold a Master's or Ph.D. in a relevant field, showcasing proven experience as an AI Engineer. You will lead the implementation of scalable AI products, leverage cloud technologies, and ensure data integrity through advanced quality assurance.

Qualifications

• Master's or Ph.D. in Computer Science, IT, Data Science, AI, or related field.
• Proven experience as an AI Engineer, Machine Learning Engineer, or similar role.
• Proficiency in Python or R programming.

Responsibilities

• Lead design and development of machine learning models and algorithms.
• Implement scalable AI products in alignment with user requirements.
• Provide operational support and guidance for AI solutions.

Skills

Machine Learning

Programming (Python, R)

Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)

Natural Language Processing

Computer Vision

Big Data Technologies (Hadoop, Spark)

Education

Master's or Ph.D. in relevant field

Bachelor's with 5 years experience

Tools

AWS

Azure

Google Cloud

Azure DevOps

Job description

Overview

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. Establish and promote advanced data quality assurance processes, including validation checks and proactive data drift detection mechanisms, to ensure data consistency and integrity.

Qualifications

Master's or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field, or Bachelor's with a minimum of 5 years experience.

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role. Experience in developing and deploying machine learning models and AI systems.

Proficiency in programming languages such as Python or R.

Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).

Experience with natural language processing (NLP), computer vision, or other AI techniques.

Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud).

Strong analytical skills and the ability to work with complex datasets. Excellent problem‑solving skills with a focus on developing innovative AI solutions. Ability to work collaboratively in a cross‑functional team environment. Strong organizational skills and the ability to manage multiple AI projects simultaneously. Experience with Agile methodologies and tools (Azure DevOps, Scrum).

Preferred

Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals).