Description

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.

5. COMMUNICATIONS & WORKING RELATIONSHIPS

Internal

·          All SAAL Data Science employees

External

·        Customer

·        Solution providers

6. QUALIFICATIONS, EXPERIENCE, SKILLS & COMPETENCIES

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