Day to Day Operations

· 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

  o Python

  o Scikit-learn 

  o TensorFlow 

  o PyTorch 

· Natural Language Processing (NLP) 

  o Hugging Face Transformers 

  o spaCy 

  o Gensim · Database & Data Handling 

  o SQL

o Pandas 

  o Apache Spark · Visualization & Collaboration 

  o Matplotlib/Seaborn 

  o Jupyter Notebooks 

  o Git/GitHub/GitLab · Large Language Models (LLMs) 

  o Experience in offline deployment for Q&A on structured data · Deployment 

  o AWS/GCP/Azure 

  o Docker 

  o Mlflow 

  o Dataiku 

Communication 

  · Utilizes state-of-the-art, best-in-class tools, techniques and methods to deliver technical presentations to peers, leadership team, sales executives, clients, prospects, etc. 

  · Works collaboratively with various internal stakeholders to bring in synergies to the solution architecture, implementation plan, optimized delivery model and costing. 

  . Continuous Improvement 

  · Motivate one’s own team and identify opportunities to take part in change initiatives, programs and projects that reflect international best practice and changes in the competitive environment. 

  . Related Assignments 

  · Perform other related duties or assignments as directed.

Minimum Qualifications: 

· Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field 

· Certifications in any technology streams are preferred Minimum Experience: 

· Minimum 5-8 years or more experience in similar field 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