Data Science

2 weeks ago

Mumbai, India Ohara IT Solutions Full time

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 teams 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

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 teams 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 ones 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.

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Related Assignments

Perform other related duties or assignments as directed.


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