Logo for Ness Digital Engineering

Senior AI Engineer

Ness Digital Engineering

Role overview

Qualifications

  • Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field
  • 5+ years of hands-on professional experience in software/ML engineering
  • Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker)
  • Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes)

Responsibilities

  • Design and implement AI pipelines for automating royalty calculation and relation processes etc.
  • Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning
  • Develop and maintain retrieval systems that operate efficiently at scale
  • Collaborate with the team and stakeholders to deliver, operate and maintain products

About the company

Ness Digital Engineering logo

Ness Digital Engineering

IT Services & IT Consulting

Ness Digital Engineering, acquired by global investment firm KKR in 2022, is a full-lifecycle digital engineering firm offering digital advisory through scaled engineering services. Headquartered in New York, Ness serves our customers across 11 innovation hubs in the US, Eastern Europe, and India. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. For more information, visit www.ness.com.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Description

Why Ness 
We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world. 
You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression. 
You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation. 
About the Role
We are looking for an experienced AI/ML Engineer with deep expertise in feature engineering and model engineering to join our team 
 

Key Responsibilities

Be Technical: 

  • Design and implement AI pipelines for automating royalty calculation and relation processes etc.
  • Integrate foundation models (LLMs, vision models, etc.) into products using APIs and custom fine-tuning.
  • Develop and maintain retrieval systems that operate efficiently at scale
  • Explore frontier software engineering in AI/ML for media, and related opportunities for UMG.
  • Build on state-of-the-art cloud infrastructure

Be collaborative
  • Collaborate with the team and stakeholders to deliver, operate and maintain products.
  • Be part of an innovative and dynamic team

Skills and Experience Required

Must have
  • Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field.
  • 5+ years of hands-on professional experience in software/ML engineering
  • Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully.
  • Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models.
  • Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc.
  • Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods.
  • Familiarity with media content (video, audio) ML pipelines.
  • Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker)
  • Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes).
  •  Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform)
  • Ability to write clean, efficient, well documented, and reusable code
  • Good communication skills, both oral and written
  • Curious, self-motivated, and proactive.
Nice to have
  • Experience training and/or fine-tuning AI models
  •  Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks)
  • Competency in at least one other programming language (e.g. C/C++, Java)
  • Experience going from POC to production-grade system
Why Join Us?
  • Work on a high-impact platform used by millions of Gmail users globally.
  • Collaborate with a talented team of engineers, data scientists, and security professionals.
  • Opportunity to shape next-generation email threat detection using cutting-edge AI/ML.
Not checking every single requirement? 
If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills. 
Let’s meet and you may just be the right candidate for one of our roles. 
At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity. 

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Artificial Intelligence Engineer Related jobs

RomaniaArtificial Intelligence Engineer

Other jobs at Ness Digital Engineering

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.