Senior Machine Learning Engineer

4 giorni fa

Milano, Lombardia, Italia Stealth AI Startup A tempo pieno

Senior Machine Learning Engineer (Document Intelligence, Agentic AI & Operational Finance)

Location:
Italy (hybrid) ·
Employment:
Full-time ·
Seniority:
Mid/Senior

About the client (confidential)

Our client is a fast-growing enterprise SaaS company serving Italy's
field-services
ecosystem with an operational platform spanning sites, finance, and administration, powered by
applied AI
(document & image understanding, accounting automations, chat-based assistant, cash-flow and margin forecasting). Full company details will be shared during the first interview.

Role mission (descriptive)

As an ML Engineer, you will lead the design, training, and productionization of
Document & Data Intelligence
solutions and enable
agentic AI
capabilities through an internal
AI SDK
that unifies model access, tool-calling, evaluation, and telemetry. You'll work on high-impact use cases, structured extraction from
invoices/DDT/SAL
and field images,
bankdocument reconciliation
,
anomaly detection
on costs/margins, and
cash-flow/cost forecasting,
embedding models and agents into
Accounting, Finance, and Field Ops
workflows with strong security, GDPR-compliant data handling, and
MLOps/LLMOps
best practices (versioning, observability, feedback loops).

What you'll do — example activities (non-exhaustive)

  • Design and maintain the
    AI SDK
    (Python): unified APIs, provider adapters, tool registry, JSON-schema/Pydantic validators, prompt/model versioning, evaluation harnesses, tracing/metrics, retry/backoff, and latency/cost budgets.
  • Build end-to-end pipelines across
    OCR/NLP/LLM
    , tabular ML, and
    time series
    , with clear metrics and production guardrails.
  • Develop
    stateful agents
    (planning, tool-use, memory, reflection) with guardrails and HITL; automate report/timesheet updates.
  • Partner with Product/Backend/Frontend to embed models/agents into workflows (incl. banking integrations and Italian fiscal systems such as
    SDI
    ).
  • Run
    AgentOps/MLOps
    : CI/CD for models & prompts, dataset/versioning, observability (traces/logs/tokens), review queues.
  • Uphold
    privacy, security & compliance
    : PII handling, RBAC/RLS, audit logs, data retention.

Minimum qualifications

  • 3+ years (5+ for Senior) in applied ML with
    production
    delivery of OCR/NLP or tabular models.
  • Strong data engineering (feature engineering, dataset curation, evaluation).
  • Familiarity with
    time series
    and
    anomaly detection
    .
  • Proven experience building
    developer SDKs/libraries
    (API design, packaging, versioning, docs, testing, CI).
  • Preferred experience with
    TypeScript
    (for SDK/frontend)
  • Professional Italian and English.
  • No visa sponsorship:
    EU work authorization required and must already be living in the Milan area.

Nice to have

  • Agentic AI
    (LangGraph/LangChain or equivalents), tool abstraction, memory stores (vector DB/Redis), structured outputs.
  • Hugging Face
    ecosystem (Transformers/Datasets/Evaluate, Hub/model cards, LoRA/PEFT, TRL); optional self-hosting (vLLM/Triton/TensorRT-LLM).
  • RAG
    over fiscal/ERP documents; hybrid search and metadata filters.
  • Domain knowledge:
    Italian invoices, DDT, SAL, bills of quantities
    , banking/fiscal flows (SDI).

Tech stack (indicative)

Python · PyTorch/TensorFlow · scikit-learn/XGBoost · Transformers/spaCy · OCR/Document-AI libs · FastAPI · MLflow/W&B · vector/relational DB · vLLM/Triton · containers/K8s · OpenTelemetry.

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