AI/ML Engineer

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Information Technology
The Role
Integrates AI and machine learning models into products and services, supports data processing, model quality, and retraining, and develops complex solution packages with release and adoption strategies. The role addresses product feedback, participates in feature and product design discussions, and progressively takes ownership of ML service delivery. It requires production LLM experience, Python and Pandas proficiency, knowledge of ML algorithms, software design, algorithms, and data structures.
Summary Generated by Built In

What success looks like in this role:

• Contributes significantly to the integration of AI / ML models into products and services.
• Supports team efforts to ensure the quality of underlying ML models, including:
 o Data processing and cleaning, and
 o Model retraining.
• Supports internal teams through development of complex solution packages and associated release and adoption strategies.
• Strives to understand product-related feedback, issues and user expectations.
• Gains understanding and experience to take broader ownership for ML service delivery.
• Participates in design discussions regarding features and methods to improve existing products and/or the implementation of new products

#LI-LS1

You will be successful in this role if you have:

  • Minimum of 3 years of experience in machine learning and/or data engineering projects, demonstrating a track record of successful project delivery.
  • Proven experience in implementing LLM-based solutions in production environments, with a deep understanding of the associated challenges and best practices
  • Proficiency in Python and its data wrangling libraries (e.g., Pandas).
  • Good understanding of standard ML algorithms.
  • Sound understanding of software design principles.
  • Strong knowledge of algorithms and data structures, with the ability to apply this knowledge to solve complex problems.
  • Quick to grasp new technologies and concepts, staying ahead in a rapidly evolving field.
  • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences in English

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.

 

If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.

Skills Required

  • Minimum 3 years of experience in machine learning and/or data engineering projects
  • Proven experience implementing LLM-based solutions in production environments
  • Proficiency in Python and data wrangling libraries such as Pandas
  • Good understanding of standard machine learning algorithms
  • Sound understanding of software design principles
  • Strong knowledge of algorithms and data structures, with ability to solve complex problems
  • Ability to quickly learn new technologies and concepts
  • Excellent written and verbal communication skills in English

Unisys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Unisys and has not been reviewed or approved by Unisys.

  • Fair & Transparent Compensation Fair & Transparent Compensation: Compensation terms at hire are often presented clearly and upfront, creating a straightforward “take it or leave it” expectation. Pay outcomes are also described as variable by role and geography, with some pockets viewed as satisfactory or above average.
  • Retirement Support Retirement Support: A 401(k) plan with an employer match is commonly described as part of the core package. The match is often characterized as a meaningful component of total rewards relative to other benefits.
  • Healthcare Strength Healthcare Strength: Core medical, dental, and vision coverage is described as available and broadly in line with a large IT-services employer. The underlying carrier network is sometimes viewed as solid even when cost concerns exist.

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The Company
HQ: Blue Bell, PA
22,588 Employees
Year Founded: 1986

What We Do

Unisys is a global information technology company that builds high-performance, security-centric solutions for the most demanding businesses and governments on Earth. Unisys offerings include security software and services; digital transformation and workplace services; industry applications and services; and innovative software operating environments for high-intensity enterprise computing. We build better outcomes securely for our clients across the Government, Financial Services and Commercial

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