NO
Automation and AI/ML Expert responsible for automation solutions and AI model optimization at Nokia. Collaborating with cross - functional teams for operational efficiency and software sales.
About the role
- Lead the design and deployment of proprietary AI model trained on localized datasets
- Set the technical roadmap, leading custom AI developments, and pioneering AI solutions and awareness across the firm
- Set proprietary models for targeted use cases with documented accuracy, latency and ROI targets
- Stand up a secure AI data layer (feature store, vector DB, retrieval pipelines) over firm content with permissions-aware retrieval
- Develop auditable governance including model cards, evaluation harness, bias testing, and quarterly review with legal and information security
- Operationalize CI/CD models / agents, evaluations, observability, rollback and cost tracking
- Hire and mentor a blended team to machine learning, data and prompt engineers
- Partner with KM on domain taxonomies, embeddings strategies, and feedback loops to continuously improve models
- Work with general counsel and privacy operations on confidentiality, data retention, vendor due diligence and AI policy
- Lead end to end lifecycle including problem framing, data pipelines, model selection, fine tuning, evals, deployment, monitoring and iteration
- Architect RAG over privileged content with strict access controls
- Implement safety layers including prompt hardening and output filtering
- Build evaluation and assurance reference sets from attorney labeled data, offline/online A/B and human in the loop review
- Own change management and adoption including training plans, playbooks and success metrics with named practice leaders
- Publish internal guidance on model cards, decision logs, user guidelines
Requirements
- Preference for experience in regulated industries such as financial services, legal, or healthcare
- 10+years building ML/AI products
- 4+ years leading applied ML/LLM teams
- Hands-on with modern LLM stacks, vector search, orchestration frameworks
- Strong data engineering foundations (Python, PyTorch, Spark, SQL)
- MLOps (Docker, feature store, model registry)
- Demonstrated experience with high sensitivity data and regulated deployments (privacy, privilege and auditability)
- Great stakeholder management skills with attorneys / partners and business leaders
- Proven record translating ambiguity into shipped systems
Benefits
- Flexible work arrangements and hybrid work schedule
- Health, dental, and vision insurance
- Life and disability insurance
- Retirement & Savings Plan
- Emergency back-up child and adult care
- Paid vacation, sick time off, and holidays
- Professional development and career advancement opportunities
- Employee recognition and reward programs
- Employee wellness and assistance programs
- Employee discounts and perks
Job title
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Degree requirement
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NR
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