Job Description

Your Responsibilities:
The Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes.

• Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives.
• Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes.
• Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc.
• Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly prototype and iterate on new models and solutions.
• Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration.
• Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems.
• Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems.
• Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.
• Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.
• Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

Your Profile:

• Proficient in Python, R, and SQL for data analysis, modeling, and data pipeline development.
• Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc.
• Experience with cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark).
• Strong understanding of both supervised and unsupervised learning models and techniques.
• Experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs.
• Hands-on experience with Generative AI techniques, but with a balanced approach to leveraging them where they can add value.
• Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment.

Educational Requirements:

• Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field. Master’s degree or Ph.D. is a plus.
• 4+ years of experience in data science, machine learning, or AI, with demonstrated success in building models that drive business outcomes.

City

Bengaluru

State

Karnataka

Location Country

India

About ADM

At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We’re a global leader in human and animal nutrition and the world’s premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.