Senior ML & LLM Platform Engineer

JLL supports the Whole You, personally and professionally.

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally.

About us

JLL (NYSE: JLL) is a Fortune 200 company and a global leader in commercial real estate. We are a $20B+ business with over 100,000 employees worldwide and the stability and resources to invest seriously in AI. Under our Accelerate 2030 strategy, data and AI are the core pillars of how the company will operate and grow.

The Tel Aviv technology hub is at the center of that effort. We design, build, and operate production-grade AI systems that shape how decisions are made across JLL's diverse businesses.

The position

We are looking for a Senior ML & LLM Platform Engineer to join the Enterprise Data Science Group, an outstanding MLOps and LLMOps engineer who loves GenAI and running AI in production at scale, and thrives on:

Serving open-weight LLMs at scale: GPU capacity and autoscaling, throughput, batching, quantization, caching, cost per token, use of tools, and more.

Setting the MLOps and LLMOps standards for the group: experiment tracking, model and prompt registries, infrastructure-as-code, release practices, etc.

Evaluation and observability for non-deterministic systems: monitoring, regression suites, and cost tracking for LLM pipelines.

Shaping our development and pre-production environments into a best-in-class platform for testing and experimentation, where large-scale experiments are fast, reproducible, tracked, and safe to run against real data.

Improving the CI/CD, engineering, and cloud foundations behind our ML/LLM pipelines: performance, cost, and reliability with data at scale.

Designing agentic AI services and applications, including multi-agent systems and visual interfaces, taking them from prototype to production, while working with data scientists on ML and GenAI technologies (agents, RAGs, fine-tuning, hosting open weight models, MCPs) that raise the bar of accuracy and impact.

We are looking for

5+ years in MLOps / ML / AI / data / software engineering, with production systems you deployed and operated, and a proven track record of working alongside data scientists and researchers.

Hands-on experience with GenAI technologies (LLMs, vector DBs and RAG, MCP, agent platforms, open-weight models) and with serving them at scale: orchestration, architecture, caching, monitoring, and ownership of latency, throughput, and cost.

Fluency in the ML/LLM Ops toolchain: experiment tracking, model and prompt registries, production monitoring (MLflow or equivalents), etc.

Deep understanding of LLM architectures: MoE (Mixture-of-Experts), attention variants, tokenization, quantization, KV caching, and batching.

Familiarity (practical experience advantage) with distributed training and inference parallelism strategies - FSDP (Fully Sharded Data Parallel), data, tensor, and pipeline parallelism.

A generalist mindset: comfortable venturing beyond ops into data engineering, agent development, and data science when the problem calls for it.

A BSc (MSc an advantage) in computer science, mathematics, or another quantitative field, or equivalent experience.

Ways to stand out

An entrepreneurial mindset: following emerging technologies closely, spotting what would keep us at the state of the art, and building support across the organization to make it happen.

Strong data engineering foundations across cloud and DevOps: AWS/Azure/GCP, Databricks/Snowflake, Spark, infrastructure-as-code, CI/CD, and scheduled data pipelines.

A track record in data science or applied research, or in building agentic systems.

We're a tight-knit team of about 20 with a strong, fun, collaborative culture and a positive atmosphere, hybrid from our newly renovated Tel Aviv headquarters, a homelike space with team breakfasts and an on-site gym. We offer highly competitive compensation and benefits, including private health insurance.

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health.

About JLL –

We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities.

Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally.

Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.