Senior Data Scientist

Ecolab Digital Center

Bengaluru

On-site

INR 800,000 - 1,200,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

A leading global technology company is seeking a skilled Data Scientist & ML Engineer to join their Data Intelligence & Architecture Services team. This role focuses on building advanced AI systems that enhance decision-making processes. Candidates should have experience with Azure AI tools and be adept in AI model development. The position offers a full-time opportunity in Bengaluru, with a focus on collaboration and continuous learning.

Qualifications

Certification on Azure Open AI or MS AI Fundamentals preferred.
Experience designing, training, and deploying machine learning models.
Strong understanding of software development principles.

Responsibilities

Design & develop Agentic AI systems.
Integrate LLMs with business processes using Python.
Collaborate with stakeholders for functional process redesign.
Build and deploy AI agents and create detailed technical documentation.
Stay updated with industry developments.

Skills

Azure AI tools and services

Azure Logic App

Azure Function App

AI Model Development

Databricks

Supervised learning

Unsupervised learning

Reinforcement learning

Azure Copilot Studio

Cloud platforms (MS Azure)

Software development principles

Version control (Git)

Agile methodologies

Job description

Direct message the job poster from Ecolab Digital Center

Building the Future with AI – Hiring Data Scientists & ML Engineers - Apply Now

Job Description

We are seeking highly skilled individuals for our Data Intelligence & Architecture Services team, who would have the ability to take on the responsibilities outlined below. This role will be central to the development and deployment of advanced Agentic AI systems that will drive automation and enhance decision-making processes within our organization.

Responsibilities:

Design & development of Agentic AI systems
Integrate Large Language Models (LLMs) with the other AI models into business processes (utilizing Python)
Work with business stakeholders to study and redesign functional processes with human-agent combo systems
Define the interaction across different (utility) AI agents and AI/ML models
Define desired output and technical performance metrics
Build and deploy the AI agents in production environment, along with desired user interface
Conduct unit and integration testing of AI agents
Create detailed technical documentation, including process flows, technical requirements, and test plans, to support the development and deployment of AI systems.
Work closely & collaborate with stakeholders, project managers, business analysts, architects, trainers, and other data scientists & engineers in the team
Stay current with industry developments and standards to ensure the effective application of advanced AI techniques and methodologies.

Skills:

Ability to work with Azure's AI tools and services effectively. Certification on Azure Open AI or MS AI Fundamentals, would be highly preferred.
Azure Logic App - ability to automate workflows and integrate various services.
Azure Function App - for creating serverless functions to handle event-driven tasks.
AI Model Development - designing, training, and deploying machine learning models.
Working knowledge of Databricks
Familiarity with various algorithms and techniques for supervised, unsupervised, and reinforcement learning.
Azure Copilot Studio for developing, testing, and deploying AI solutions. Understanding of its features and capabilities to streamline AI workflows.
Experience with cloud platforms (preferably MS Azure) for deploying and managing AI solutions.
Strong understanding of software development principles, version control (Git), and agile methodologies.

Seniority level