Data Team Lead

2 weeks ago

Tel Aviv, Tel Aviv, Israel LeadSpotting Full time ₪120,000 - ₪240,000 per year

At
Leadspotting
, we're building platforms that transform complex data into clear, actionable intelligence. We're looking for a
Data Team Lead
to take ownership of one of our core data groups — a team building advanced, scalable data pipelines and
AI-powered models
that deliver real-time insights for public and private sector decision-makers.

As a hands-on leader, you'll manage a multidisciplinary team of data engineers, scientists, and analysts. You'll work closely with product, engineering, and domain experts to drive the development of intelligent, data-driven products — using modern tools like
PySpark, SQL, LLMs, transformers, and knowledge graph modeling
.

If you're passionate about
AI, data architecture, leadership, and turning messy, complex data into clarity and impact
— this is your place.

Key Responsibilities:

  • Lead a team of data scientists in developing 
    GEN-AI driven NLP, CV, Big data analytics solutions
    .
  • Architect Design, and optimize
    LLMs, Agentic AI, transformer models, RAG pipelines, and classical ML/NLP/CV pipelines
    .
  • Work closely with
    Fullstack teams, and Product Managers and talented data engineers
    to integrate AI models into production systems.
  • Balance between
    70% product delivery and 30% research
    , collaborating with a dedicated research team.
  • Engage with operational customers to understand their needs and translate them into
    AI-driven solutions
    they can trust.

Required Qualifications:

Must-Haves

  • 2+ years of
    hands-on experience in AI/ML
    , with a focus on
    designing, training, and deploying LLMs and NLP models. With focus on text and topic analysis.
  • 3+ years of experience
    leading AI or data science teams
    , including mentoring, goal settings. Technical leadership.
  • Proven track record in
    LLMs (GPT, LLaMA, Falcon, etc.), RAG pipelines, semantic search, Agentic or transformer-based architectures
    .
  • Strong proficiency in Python and deep learning frameworks such as
    PyTorch, TensorFlow
    .
  • Experience deploying
    production-grade AI models
    in both
    cloud and on-prem environments
    , ensuring scalability and performance.
  • Ability to collaborate effectively with engineers, PMs, and operational customers to
    translate AI research into product features
    .

Nice-to-Haves

  • Eligibility for Security Clearance Level 2 (active clearance – advantage).
  • Hands-on experience with
    knowledge graphs, topic modeling, or multimodal AI
    .
  • Familiarity with
    MLOps
    stacks (MLflow, Kubeflow, SageMaker, Vertex AI) and monitoring/observability for ML models.
  • Experience with
    Generative AI in production
    (fine-tuning, prompt engineering, safety/guardrails).
  • Knowledge in
    Palantir Foundry-
    for managing and integrating complex datasets.
  • Knowledge of
    data anonymization, encryption, and compliance frameworks
    (ISO, NIST, SOC 2).
  • Background in defense, mission-critical, or
    applied AI at scale
    .
  • Excellent leadership, problem-solving, and decision-making skills.

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