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.