Senior ML Engineer / Data Scientist

- Design and develop a self-learning Postlog and Prelog recognition system using modern ML and LLM techniques

- Build and maintain versioned prompts, evaluation datasets, and few-shot exemplars

- Apply production-grade LLM practices including schema-constrained extraction, grounding strategies, and low-confidence fallback handling

- Improve recognition quality and optimize layout and header mapping performance

- Analyze production failures and enhance prompts, retrieval pipelines, and model behavior

- Run evaluation pipelines and shadow-mode comparisons against legacy systems and gold datasets

- Monitor confidence scores, latency, operational quality, and infrastructure costs

- Develop entity-matching systems for Station, Advertiser, and CreativeID master data

- Implement confidence scoring, thresholding, and auditability mechanisms

- Transform human and machine corrections into labeled signals for continuous model improvement

- Monitor prompt and model drift in production environments

- Collaborate with Data Engineering teams on ML integration and operationalization

- Communicate technical findings and recommendations to engineering teams and Customer stakeholders

- At least 5 years of experience in Machine Learning, Data Science, or ML Engineering

- Proven experience delivering ML models or LLM-powered systems into production

- Strong hands-on experience with Large Language Models in real products or pipelines

- Deep understanding of prompt engineering, prompt versioning, evaluation methodologies, and grounding strategies

- Experience handling low-confidence scenarios and optimizing cost and latency for LLM systems

- Strong Python and SQL skills

- Solid knowledge of statistics, confidence estimation, sampling, hypothesis testing, and threshold optimization

- Experience with classification, ranking, matching, or recommendation-related problems

- Understanding of offline evaluation metrics, holdout validation, and production monitoring

- Hands-on experience with AWS cloud services including S3, IAM, CloudWatch, and orchestration services

- Strong communication and collaboration skills

- Upper-Intermediate English level or higher

WILL BE A PLUS

- LLM-related certifications

- Experience with Amazon Bedrock or equivalent enterprise LLM platforms

- Production experience with Claude/Sonnet-class models

- Experience with Excel or layout extraction systems

- Knowledge of confidence calibration, active learning, or weak supervision techniques

- Experience with cost-aware LLM operations including caching, routing, and fallback models

- Advertising or media domain knowledge

- Familiarity with Glue, Airflow, or similar orchestration and data pipeline tools

PERSONAL PROFILE

- Strong ownership mindset

- Analytical and data-driven thinking

- Ability to work independently in ambiguous environments

- Continuous improvement approach

- Attention to quality and operational excellence

- Effective collaboration and communication skills

Are you passionate about building production-grade AI systems that continuously learn and improve from real-world feedback? We are looking for a Senior ML Engineer / Data Scientist to help develop intelligent recognition and entity-matching solutions for a large-scale media data platform.

In this fully remote role across Europe, you will work with Large Language Models, evaluation frameworks, and cloud-based ML pipelines to improve automation quality and reduce manual processing efforts. You will collaborate closely with Data Engineering teams and Customer stakeholders while owning the ML lifecycle end-to-end.

We at Sigma Software create impactful technology solutions for global customers and provide engineers with opportunities to work on meaningful, high-scale products using modern AI technologies. This role offers significant ownership, challenging engineering tasks, and the ability to influence production AI systems at scale.
CUSTOMER

Our Customer operates a large-s