About the Role
- We are seeking a passionate and experienced Data Science Team Lead to inspire and guide our data science team. In this role, you will guide a talented team of data scientists in researching, designing, implementing, and optimizing data-driven solutions, while ensuring alignment with business objectives. This role demands a strong background in NLP, hands-on experience building modern generative AI systems (LLMs, agentic pipelines, and retrieval-augmented architectures), and expertise in transitioning research into production. It also requires strong leadership skills, mentoring capabilities, driving innovation, and ensuring the delivery of high-quality results in a timely manner.
Key Responsibilities:
•Lead and mentor a team of data scientists, providing guidance and support to foster their growth and success.
•Oversee the full data science lifecycle, including problem definition, data collection, model development, evaluation, and deployment.
•Design, develop, and optimize cutting-edge machine learning and deep learning algorithms, with a primary focus on NLP, as well as additional domains such as audio, computer vision, and classic ML.
•Collaborate with cross-functional teams, including engineering, DevOps, and product management, to identify data-driven opportunities and deliver impactful solutions.
•Effectively communicate complex data science concepts, methodologies, and insights to both technical and non-technical stakeholders.
•Foster a culture of continuous learning, experimentation, and innovation within the data science team.
•Define and manage project goals, timelines, deliverables, and resources to align with organizational priorities.
•Drive the adoption and improvement of advanced data science methodologies, tools, and technologies to maintain a competitive edge.
•Architect and deliver LLM-based systems end to end including agentic pipelines, tool use and orchestration, retrieval-augmented generation, and multimodal fusion across text, image, audio, and metadata.
•Establish rigorous evaluation practices for generative systems, including grounding and hallucination metrics, benchmark design, tracing and observability of multi-step runs, and regression testing ahead of production release.
Requirements
7+ years of experience as a data scientist, including at least 2 years in a team management role.
Strong programming skills in Python, with hands-on experience using HuggingFace libraries such as Transformers, Datasets, and PEFT, or similar NLP libraries.
Extensive experience working with large language models (LLMs) and transformer-based architectures, including both frontier APIs and open-weight families, with prompt engineering, fine-tuning (SFT/LoRA), and adapting open-weight models for production use.
Proven experience building agentic and retrieval-augmented systems, multi-step orchestration using frameworks such as LangGraph or LlamaIndex, tool and function calling (including MCP-based tooling), embeddings, vector databases such as Qdrant or pgvector, and hybrid retrieval.
Hands-on expertise in developing deep learning algorithms in PyTorch.
Solid experience with unsupervised learning techniques, including clustering, anomaly detection, and other advanced methods.
Experience working with various databases and technologies for managing and querying large datasets, including vector stores for semantic search.
Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences.
Strong organizational skills, with the ability to effectively manage multiple projects and priorities in a fast-paced environment.
Preferred Skills:
Knowledge in other AI domains, such as computer vision and audio.
Experience working with microservices, Kubernetes (K8S), and Docker for deploying machine learning models in scalable production environments.
Experience deploying and optimizing models for inference in constrained or on-premise environments, including serving frameworks such as vLLM, TGI, or SGLang, quantization, distillation, and latency/cost tuning.
About the Company
BOLD is a well-funded, growth-stage startup at the forefront of innovation, empowering intelligence and law enforcement organizations with cutting-edge AI-based analytics. Our advanced solutions transform complex data into actionable insights, enabling users to tackle their most challenging operational objectives with confidence and precision.