Senior Data Scientist Job at ADM (Bengaluru)

Job Responsibility

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

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