J

Jones Lang LaSalle

Advises on and manages commercial real estate

Data Science Manager - GenAI & LLMs

Data ScienceConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, IsraelNo salary listed

About the Job

Requirements

  • At least 2 years of experience managing data scientists, AI researchers, machine learning engineers, or similar professionals.
  • Strong leadership mentality, including inspiring a team, initiating work beyond core data science, and partnering with product and business teams to identify project opportunities.
  • Proven excellence in machine learning and artificial intelligence, with recent years focused on generative AI.
  • Track record of leading multi-person efforts end to end, shipping work to production, and creating lasting value.
  • Ability to communicate work internally and externally.
  • Strong research track record, such as scientific publications, technical reports or blogs, or conference talks.
  • Master of Science in computer science, mathematics, or another quantitative field, or equivalent experience.
  • Hands-on post-training of open-weight models, such as Llama- or Qwen-class models, including supervised fine-tuning, preference optimization (DPO/GRPO), LoRA versus full fine-tuning, and synthetic data curation, is a way to stand out.
  • Distributed training with FSDP or DeepSpeed, or high-throughput large language model serving with vLLM or SGLang, is a way to stand out.
  • Experience with agentic systems, including tools and MCP design, multi-agent orchestration, context engineering, and rigorous evaluation, is a way to stand out.
  • An entrepreneurial track record is a way to stand out.

Responsibilities

  • Lead multiple data scientists internationally and serve as a close partner to the group lead.
  • Drive several applied research tracks.
  • Grow the team in Tel Aviv as new projects arrive, including hiring, setting vision and roadmaps, and aligning stakeholders on goals and key performance indicators.
  • Build custom language models for JLL adapted to commercial real estate and proprietary data.
  • Develop and deploy applied research systems using diverse data sources, closed and open-weight large language models, post-training and fine-tuning, agentic workflows, and multiple cloud environments.
  • Classify companies by industry code at scale using large language models, custom embeddings, and traditional machine learning.
  • Perform generative-AI-based entity resolution, linking companies and properties across data sources using custom embeddings, deep pipelines, large language models, fine-tuning, and clustering.
  • Build agentic, large-language-model-based and machine-learning-driven recommender systems for cross-selling and upselling.
  • Forecast commercial lease rent dynamics and market trends using global transaction and market data, millions of leases, and diverse inputs.
  • Build agents and MCP servers to make research and data usable.
  • Explore incorporating tabular and time-series foundation models, multi-agent pipelines, reinforcement learning, auto-research, and novel evaluation methods into the team's work.
  • Partner with data scientists, engineers, product managers, and business stakeholders to deliver work into production.

Desired Qualifications

  • Hands-on post-training of open-weight models, such as Llama- or Qwen-class models, including supervised fine-tuning, preference optimization (DPO/GRPO), LoRA versus full fine-tuning, and synthetic data curation.
  • Distributed training with FSDP or DeepSpeed, or high-throughput large language model serving with vLLM or SGLang.
  • Experience with agentic systems, including tools and MCP design, multi-agent orchestration, context engineering, and rigorous evaluation.
  • An entrepreneurial track record.

About the Company

Jones Lang LaSalle

Advises on and manages commercial real estate

Jones Lang LaSalle, known as JLL, advises property owners, occupiers and investors on commercial real estate worldwide. Its teams broker leases and property sales, arrange financing, value assets, manage buildings and workplaces, and oversee construction projects for businesses, institutions and governments. LaSalle Investment Management invests client capital in private property and real estate securities, while JLL Technologies develops workplace software and data tools. The company earns commissions, service fees, investment management fees and software revenue, with some client operating costs reimbursed through contracts. JLL took its current form through a 1999 merger and is headquartered in Chicago, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1999

Recently Posted Jobs

Explore more opportunities at Jones Lang LaSalle

See more jobs