Description

• Perform exploratory data analysis to achieve a better understanding of the business problem as well as to discover untapped areas of growth and optimization
• Propose solutions and strategies to business challenges and act as a technical advisor to the business teams
• Advocate business team on what analytic features and functions are possible with current data assets and/or what must occur to advance the use of data in the digital products.
• Proactively investigate new technologies and algorithms to follow the best and state-of-the-art industry practices
• Drive data science and analytics development activities
• Be responsible for planning and timely delivery of ML and DL Modules
• Contribute to the team’s research activities
• Mentor less experienced Data Scientists and act as an influential SME

Ai/ML

• Build pipelines
• Develop and integrate algorithms/packages into the platform
• Add new ML models to the SAAL platform marketplace
• Develop customer-centric AI/GenAI solutions
• Develop, train, and deploy machine learning models using Dataiku
• Own the full development cycle - from concept, through research, design, implementation, and deploying to production

Technology Stack

• Machine Learning & Deep Learning
• Python
• Scikit-learn
• TensorFlow
• PyTorch
• Natural Language Processing (NLP)
• Hugging Face Transformers
• spaCy
• Gensim
• Database & Data Handling
• SQL
• Pandas
• Apache Spark
• Visualization & Collaboration
• Matplotlib/Seaborn
• Jupyter Notebooks
• Git/GitHub/GitLab
• Large Language Models (LLMs)
• Experience in offline deployment for Q&A on structured data
• Deployment
• AWS/GCP/Azure
• Docker
• Mlflow
• Dataiku

Job-Specific Skills:

• Hands-on programming skills with Python or R
• Expert knowledge of machine learning algorithms
• Experience with on prem LLMs for structured data
• Experience in applying Machine Learning and Deep Learning (Forecasting, NLP)
• Specialization in applied NLP and any experience working with the LLM’s is a plus
• Familiarity with Machine Learning frameworks like Scikit-learn, TensorFlow, Torch, H2O
• Knowledge of SQL and experience in handling large databases
• Knowledge of visualization tools like Excel or Tableau
• Excellent communication skills