Sr AI Data Scientist ( Demand Forecasting + Databricks )

We are looking for a Senior AI /ML Consutlant with expertise on Classic ML and Demand Forecasting with strong hands-on on building/deploying ML solutions usingDatabricks.

Strong hands-on onDatabricksand Demand Forecasting are mandatory.

Key Skills:

AI/ML Consultant with strong hands-on experience inDatabricks

The ideal profile should have:

• Strong practical experience withDatabricks(ML workflows, pipelines, and deployment)

• Expertise in machine learning and AI model development usingDatabricks

• Experience working with large-scale data and cloud environments (AWS/Azure preferred)

• Ability to work independently and deliver in a fast-paced environment
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• Strong expertise in building Demand Forecasting models and evaluating the results.

Job Profile

As a Data Scientist/Sr.DataScientist at i2eConsulting, you will partner closely with a team of stakeholders, data scientists, and data engineers to solve real problems in healthcare domain. We are looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data solutions. Our potential members would work on developing and implementing machine learning algorithms in Agentic AI,Generative AI, Vision and Applied Statistics and Machine Learning space.

Experience

3-6Years

Qualification

Bachelors Degree/Masters Degree in Computer Science, Mathematics, Statistics, Physics, Computer

Engineering or related fields from tier 1 college

Responsibilities

Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems

Deploy and optimize machine learning solutions on massive datasets using big data technologies

Develop and prototype AI algorithms and software tools

Implement enhancements to existing algorithmic/Machine Learning solutions

Conduct quantitative data analysis using a variety of datasets

Increase the efficiency and improve the quality of solutions offered

Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders

Build and deploy additional functionalities as per client requirements

Build specialized solutions using LLMs for Agents, Chat, QnA, Summarization, document creation and translation use cases in healthcare domain

Contribute to Applied ML research projects, end-to-end ML problem solving

Gather good understanding of the business needs of the project

Leverage recent advances in machine learning technologies and oversee the teams training

Takes initiatives in innovation and research areas of solution development

Ideal Candidate

Have 3-8 years of experience in analyzing large volumes of data and building predictive models

Hands-on experience in analytics techniques such as outlier detection, clustering, classification, regression, and hypothesis testing

Hands-on experience developing applications and solutions using latest LLMs and building Agents

Have an excellent understanding of the computer vision techniques applied to the pharmaceutical domain

Have an excellent academic background with strong hands-on knowledge of Python and SQL

Hands-on Software Development Skills (Python preferred)

Understands the core concepts of Machine Learning, Deep Learning, Transformers and the math behind it

Have good knowledge of existing ML tools like Tensorflow, Pytorch, Pyspark, SK learn

Know all the general best practices of ML

Able to understand the internals of popular ML tools and as per the need be able to modify existing popular tools and algorithms

Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms

Knowledge of statistical techniques, linear algebra, and numerical optimization