Posted:1 week ago|
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Job Description
About Scrumconnect Consulting:
We’re seeking a seasoned Data Lead to own and deliver the data strategy for Govt client that uses services used by over 18m citizens encompassing three newly rebuilt benefits systems. You will define where our data capabilities are today, set the future vision, and architect the roadmap to get us there—then design the data team to execute it.
About the Role
This is a Senior Level, hands-on role for someone who loves building end-to-end AI solutions. You will work closely with the engineering and product teams to develop robust machine learning models and AI-driven features. This role is ideal for candidates who enjoy working in fast-paced environments, taking ownership of technical components, and solving real-world problems with AI.
Responsibilities
Develop, train, and optimize models in NLP, deep learning, or LLMs
Build full model pipelines: data preprocessing, model training, evaluation, and deployment
Work with tools like PyTorch, TensorFlow, Hugging Face, or JAX
Integrate AI models into production environments with a focus on scalability and performance
Contribute to AI feature prototyping and experimentation
Use cloud platforms (AWS, GCP, or Azure) to deploy AI solutions
Utilize Docker and Kubernetes for containerized deployments
Maintain model reliability, version control, and performance monitoring in production
Work on ETL processes and data pipelines to support model development
Follow MLOps best practices for CI/CD, model tracking, and monitoring
Ensure performance, scalability, and maintainability of AI systems
Requirements
7+ years of experience in software or AI/ML engineering roles
Proven experience building and deploying ML models, especially in NLP or deep learning
Proficient in Python and familiar with libraries like PyTorch, TensorFlow, or Hugging Face
Experience with cloud services (AWS, GCP, or Azure) and container tools (Docker, Kubernetes)
Good understanding of data structures, algorithms, and distributed systems
Experience working with large language models (LLMs) such as GPT, BERT, etc.
Exposure to MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow)
Background in legal-tech or regulated domains (a plus, not required)
Experience working in fast-paced startup environments or early-stage product development
Scrumconnect Consulting
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