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Machine Learning Engineer (Generative AI)

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Join our team to transform workplace experience with Generative AI-powered Enterprise Personal Assistant. You will contribute to operationalizing ML solutions, setting coding standards, and conducting ML feasibility studies. Develop your skills and be part of the innovation at LLMs.

Job description 

What success looks like in this role:

 

We are working with Fortune 500 companies to transform their employees' workplace experience with Generative AI-powered Enterprise Personal Assistant. You will be at the forefront of the innovation happening with LLMs.

Operationalize Machine Learning solutions

Setting coding standards within ML team

Being responsible for MLOps within ML team

Contribute to Machine Learning feasibility studies

Participate in bi-weekly machine learning papers review meetings

Have professional skills development plan and required help

 

#LI-AB1

 

 

You will be successful in this role if you have:

At least 4 years experience in Software Engineering, Machine Learning Engineering

Extensive experience working with Python, SQL

Algorithms and data structures knowledge

Solid statistics and/or math background

Experience operationalizing Machine Learning-based solutions

Experience working with at least one cloud provider like Azure, Amazon, or Google Cloud

Experience working with Spark

Ability to grasp new technologies very quickly

Ability to work effectively and independently as well as part of a team

Ability to communicate clearly and effectively, both in writing and verbally in English

Salary Range: 40,000-65,000 EURO gross (before tax) per annum depending on your competencies, skills and experienceIs 

Set alert for similar jobsMachine Learning Engineer (Generative AI) role in Bengaluru, India
Unisys Logo

Company

Unisys

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

3-7 Years

Category

Software Engineering

Locations

Bengaluru, Karnataka, India

Qualification

Bachelor or Master

Applicants

Be an early applicant

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