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Ecolab Hiring Associate AI/ML Engineer 0-2 Years

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Ecolab is hiring an Associate AI/ML Engineer in Bangalore, Karnataka. This opportunity is ideal for candidates with 0–2 years of experience who are passionate about Generative AI, LLMs, vector databases, embeddings, and AI-powered applications.

If you are looking to build production-grade GenAI systems and work on intelligent workflows, this role offers hands-on exposure to cutting-edge AI technologies within a global organization.

Ecolab Hiring Associate AI/ML Engineer 0-2 Years

About Ecolab

Ecolab is a global leader in water, hygiene, and infection prevention solutions, serving customers across industries worldwide. The company focuses on sustainability, innovation, and operational excellence while leveraging technology and AI to drive efficiency and impact.

Working at Ecolab means contributing to intelligent systems that support real-world industrial and enterprise applications.

Role Overview

As an Associate AI/ML Engineer, you will support the development and deployment of GenAI-powered applications and agentic workflows. You will work directly with foundational AI APIs, vector databases, and embedding models to create scalable, production-ready intelligent systems.

You will report to the AI Engineering Manager and collaborate closely with cross-functional engineering teams.

Key Responsibilities

  • Support development of Generative AI-powered applications.
  • Build and deploy agentic workflows and LLM-integrated services.
  • Work hands-on with AI APIs and foundational models.
  • Implement vector databases and embedding models.
  • Perform prompt engineering for optimized model responses.
  • Assist in deploying AI systems aligned with production standards.
  • Collaborate with AI and product teams for scalable AI solutions.

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Required Qualifications

  • Bachelor’s or relevant degree in Computer Science, AI, Data Science, or related field.
  • 0–2 years of experience in AI/ML engineering or related domain.
  • Understanding of Generative AI concepts.
  • Exposure to foundational AI APIs and LLM integration.
  • Familiarity with vector databases and embedding techniques.
  • Basic knowledge of prompt engineering.

Who Can Apply?

CriteriaDetails
Job RoleAssociate AI/ML Engineer
CompanyEcolab
LocationBangalore, Karnataka, India
Experience0–2 Years
EducationBachelor’s Degree (CS/AI/Data Science preferred)
SkillsGenAI, LLM APIs, Vector DBs, Embeddings, Prompt Engineering
ReportingReports to AI Engineering Manager
Job TypeFull-Time

Market Salary Estimate

💰 Estimated Salary (0–2 Years AI/ML Engineer – Bangalore): ₹7 LPA – ₹14 LPA

Compensation may vary depending on technical expertise, interview performance, and internal company policies.

Benefits Offered

Ecolab provides comprehensive and competitive benefits, including:

  • Healthcare and wellness programs
  • Paid time-off policies
  • Financial incentives (short & long-term)
  • Retirement income and planning benefits
  • Professional growth opportunities

Why Join Ecolab?

  • Work on real-world Generative AI applications.
  • Gain hands-on experience with LLMs, embeddings, and vector databases.
  • Build production-ready AI systems.
  • Collaborate in a structured enterprise AI environment.
  • Strong focus on associate wellness and financial security.

How to Apply

Interested candidates should apply now click the button below to submit your application.

Highlight experience in:

  • LLM integration projects
  • Prompt engineering
  • AI APIs (OpenAI, Azure OpenAI, etc.)
  • Vector databases (Pinecone, FAISS, etc.)
  • End-to-end AI system deployment

Showcase GitHub projects, internships, or AI coursework to strengthen your application.

Disclaimer

This job post is for informational purposes only and is based on publicly available information. Ecolab does not charge any fees for job applications. The salary mentioned above is a market estimate and may vary depending on company policies and candidate qualifications. Selection is subject to Ecolab’s recruitment process. We are not responsible for any changes in job details or hiring decisions made by the company.

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