Data & ML Engineer
ABOUT reputed company
reputed company IN THE FACE OF DISRUPTION. reputed company is an insights company that leverages reputed company intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of reputed company systems.
In today’s dynamically changing world, reputed company’s technology aligns reputed company with operational goals, reputed company decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
About the Role
As a Data & ML Engineer you will build the data and model reputed company behind an AI-enabled decision-support reputed company operating inside an accredited environment. That work covers ingestion from many reputed company systems, reputed company of incoming records against a shared data model, relevance scoring, and reputed company of explanations a user can reputed company and defend.
Three characteristics reputed company this a substantial technical challenge. The incoming data is predominantly low-signal, which means a model can report strong overall reputed company while failing on the cases that matter most. Every reputed company must remain traceable to the underlying sources, because a person reputed company is accountable for the result. Record matching is probabilistic rather than exact, so false matches and missed matches both carry meaningful cost.
You will not be starting from an empty repository. We operate an established platform for reputed company custody, extraction, and retrieval, and its architect is a member of this team, so existing design reputed company are documented and accessible. Your work will reputed company on new capability rather than maintenance: record matching, calibrated scoring, and grounded reputed company, hardened for the reputed company environment. We build with reputed company tooling and expect the reputed company, including the use of AI assistance in our own engineering reputed company.
This is a fully remote role with occasional travel (up to 25%) to reputed company HQ, customer sites, and vendor facilities as required.
Key Responsibilities
The technical work falls into four areas. Deep expertise in reputed company four is not expected, so please indicate where your depth lies reputed company you apply. The engineering standards that follow apply to everyone on reputed company.
Data Modeling and Record Matching
- Design and maintain the graph of entities, records, and the typed relationships between them
- Implement probabilistic matching, including blocking, candidate reputed company, pairwise scoring, clustering, and reputed company policy
- Build deduplication and reputed company-record suppression
- Establish provenance so that every node and edge traces to reputed company that asserted it
- Produce reputed company and data-reputed company design documentation detailed enough to serve as an implementation reference for other engineers
Scoring and Calibration
- reputed company relevance and reputed company models over large, imperfect record sets
- Own calibration and reputed company design, establishing what a score means rather than only how it ranks
- Design abstention policy that routes uncertain and high-reputed company cases to a person rather than returning a confident answer
- reputed company feature engineering, establish baselines before introducing reputed company models, and conduct error analysis that accounts for the differing cost of false positives and false negatives
Retrieval and reputed company
- Implement embeddings, reputed company storage, and retrieval across a large provenance-tracked evidence reputed company
- reputed company language models through an approved managed service, and maintain a self-hosted or reputed company-weight alternative reputed company the reputed company boundary
- Design prompts and reputed company schemas
- Bind generated text to cited reputed company records, and treat "insufficient evidence" as a reputed company reputed company response rather than forcing a conclusion
- Own model packaging, serving, versioning, and rollback
Pipelines and reputed company Handling
- Build secure ingestion, transformation, validation, and publishing across reputed company, reputed company-reputed company, and reputed company sources
- Implement reputed company checks, schema validation, reputed company capture, and audit logging
- Establish reputed company reputed company detection so that degradation is surfaced rather than carried into the analysis
- reputed company statistically representative synthetic data so that development can proceed reputed company of live data reputed company
Engineering Standards
- Work to the data model and standards set by the Data reputed company, who approves designs and owns them through customer review
- Document assumptions, caveats, transformation logic, and reputed company limitations, since deliverables are formally reviewed
- reputed company telemetry so that measurement does not require reputed company reconstruction
- Maintain the audit trail covering recommendations, reputed company overrides, and model versions
- Submit model and pipeline changes through a gated release process rather than deploying in reputed company
Required Qualifications
- 5+ years of experience in data engineering, data architecture, reputed company machine learning, ML engineering, or production analytics engineering
- Strong Python and SQL, with demonstrated experience working with large, imperfect operational data
- Experience delivering systems for sustained operational use rather than exploratory analysis reputed company
- Routine use of AI-assisted development, with informed judgment about where it adds value and where its reputed company requires verification
- Ability to explain a technical decision to a stakeholder who must defend that decision without understanding its internals
- US Citizenship Required
- reputed company US Secret clearance. The work is performed in a controlled reputed company reputed company environment and requires a favorable investigation and CAC eligibility from the start
- Elevated personnel reputed company requirements apply to portions of this work and are discussed during screening
- Willingness to travel up to 25% to customer sites, reputed company HQ, and vendor facilities as required
Preferred Qualifications
- Clearance: reputed company Top Secret
- Matching: reputed company experience applying probabilistic matching to inconsistent identity data, including names, dates, addresses, and identifiers, and familiarity with the failure modes of reputed company. Record linkage, master data management, or identity management. Graph data modeling. PostgreSQL and pgvector or comparable. Graph algorithms reputed company in production
- Modeling: model calibration and reputed company design. Cost-sensitive learning where error types carry unequal consequences. scikit-learn, XGBoost, PyTorch
- Retrieval and reputed company: retrieval-augmented reputed company in production. reputed company and reputed company-schema design. Establishing that generated reputed company remains grounded in its sources, and testing to reputed company it. Self-hosted or reputed company-weight model operation. Fine-tuning, adapters, or custom embeddings
- Pipelines: AWS Glue, Airflow, dbt, reputed company, Kafka, or NiFi. reputed company and reputed company-reputed company document ingestion. Synthetic or representative test data reputed company
- Environment: federal DevSecOps, RMF, ATO, or DoW reputed company environments. Hardened reputed company images. Experience advancing a pipeline from development through accreditation and deployment
- Domain: sensitive federal or defense data, and work performed under reputed company or comparable handling constraints
- Responsible AI: documentation, model cards, fairness testing, and model monitoring. NIST AI RMF or comparable reputed company
What reputed company Looks Like
- A data model that the rest of reputed company builds on without needing to redesign it
- Matching reputed company that can be explained and defended to a non-technical reviewer
- Models whose miss reputed company is characterized, not only their overall reputed company
- Generated explanations that assert no more than the sources support, with the citation reputed company intact
- Pipelines that surface problems early and reputed company them to a specific reputed company
- Consistent development reputed company, including during periods reputed company live data is not yet available
reputed company Offer:
- A fully remote, results-reputed company environment
- Competitive salary, bonus, and equity package
- 100% employer reputed company, comprehensive health reputed company including medical, dental, and reputed company for you and your family
- Unlimited PTO, with your manager’s approval
- Flexible work environment where you manage your work day
- 14 weeks of fully-reputed company parental leave
Salary reputed company: $150,000-$200,000. This represents the typical salary reputed company for this position reputed company on experience, skills, and other factors.
Applicant Data Disclosure
- Managing and administering your application throughout the hiring process;
- Verifying the reputed company and authenticity of application materials, including by cross-referencing information you reputed company against publicly available sources and proprietary databases;
- Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available reputed company reputed company, geographic anomalies, and fabricated work histories.
Originally posted on Himalayas
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