AI/ML Developer

Reposted 12 Days Ago
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תל אביב
In-Office
Mid level
Fintech • Payments • Professional Services • Financial Services
The Role
The AI/ML Developer will build and optimize AI/ML models, mentor team members, and apply state-of-the-art advancements in NLP and cloud deployment.
Summary Generated by Built In
Description

We Are KPMG Israel.

KPMG Israel is more than a professional services firm, we are a community of people driven by impact.

As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies.

Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change.

Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.

Key Responsibilities:

  • Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
  • Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
  • Mentor new team members and share your expertise to strengthen the team’s collective knowledge 
Requirements
  • 4 years in Data Science, with industry experience in building and optimize AI/ML models
  • Specialized expertise in modern machine learning methods related to Natural Languages Processing (Transformers, Embeddings, LLMs)
  • Experience deploying AI/ML services and applications on at least one major cloud platform (Azure, AWS, GCP)
  • Pratrical skills using modern ML and Generative AI frameworks (Langchain, PyTorch, Tensorflow, Hugging Face and other open-source/ APIs and similar)
  • Experience with LLM applications and techniques, such as Retrieval-Augmented-Generation (RAG), Chane-of-Thought (CoT) prompting, and open-source LLMs fine tuning
  • Ability to write production ready code, with strong expertise in designing and implementing ML pipelines
  • Excellent problem-solving skills with a critical and creative mindset
  • Exceptional communication skills and a collaborative approach to teamwork
  • BSc, master or PhD in appropiate technology field (Computer Science, Electrical Engineering, Statistics, Applied Math, etc.)

A Big Plus If You Have:

  • Extensive experience in integrating and working with vector databases (e.g. Elastic, Milvus and more) for high-performance similarity search, semantic search and embeddings management.
  • Experience with building continuous integration and monitoring for Machine Learning applications.

Skills Required

  • 4 years in Data Science
  • Specialized expertise in modern machine learning methods related to Natural Languages Processing
  • Experience deploying AI/ML services on cloud platforms
  • Practical skills using modern ML frameworks
  • Ability to write production ready code and design ML pipelines
  • BSc, master or PhD in appropriate technology field

KPMG Compensation & Benefits Highlights

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

  • Leave & Time Off Breadth Paid time off starts early in tenure and is supplemented by additional holiday weeks and a variety of paid leaves. Feedback suggests companywide breaks and multiple leave types provide meaningful downtime.
  • Retirement Support Retirement offerings include a firm-funded 401(k), company-paid retirement benefit, and pension options with vesting. Feedback suggests automatic contributions enhance long-term savings certainty.
  • Healthcare Strength Health coverage includes medical, dental, vision, disability, critical illness, and access to an EAP alongside FSAs/HSAs. Feedback suggests the breadth of health and wellness options is a strong component of total rewards.

KPMG Insights

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The Company
Berlin
231,171 Employees

What We Do

KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We have 273,000 outstanding professionals working together to deliver value in 143 countries and territories. With a worldwide presence, KPMG continues to build on our successes thanks to clear vision, defined values and, above all, our people. Our industry focus helps KPMG firms’ professionals develop a rich understanding of clients'​ businesses and the insight, skills and resources required to address industry-specific issues and opportunities. The independent member firms of the KPMG network are affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. Each KPMG firm is a legally distinct and separate entity and describes itself as such

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