Top Remote Jobs in Indianapolis, IN

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

Develops proposals, RFI/RFP responses, capabilities presentations, pitch materials, case studies, and sales resources. The role curates organizational information, crafts compelling narratives, enforces brand guidelines, manages content repositories, and collaborates with Marketing, Sales, cross-functional teams, and executives. It also provides copy feedback, trains colleagues on storytelling, maintains slide libraries, and improves content processes and efficiency.

Lead architecture and hands-on development of scalable backend systems and APIs supporting real-time applications at massive scale. Own the full engineering lifecycle, establish standards for reliability and testing, troubleshoot production issues, influence technical roadmaps, collaborate cross-functionally, and mentor engineers. The role requires deep backend development, distributed cloud systems, system design, automated testing, and technical leadership experience.

Own full-cycle recruiting for business-critical roles across go-to-market, customer experience, operations, risk, payments, and legal. Advise hiring managers on role scope, competency frameworks, and interview plans; source active and passive candidates; manage assessments, scheduling, offers, and closing; maintain candidate experience and recruiting-system data; track KPIs; and improve scalable recruiting processes and diverse talent pipelines.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Own the variable compensation budget, forecast and report costs to executive leadership, model plan changes, and run monthly commissions cycles in Everstage. Reconcile payouts with payroll and the ledger, configure compensation plans, resolve seller disputes, maintain audit-ready documentation and dashboards, and support annual plan launches. Provide data-backed recommendations on compensation design, automate repeat processes, and ensure accurate integrations among Salesforce, HR systems, and Everstage.

Build and own production entity-resolution capabilities, including blocking, candidate generation, pairwise scoring, clustering, threshold policies, deduplication, and known-entity checks. Develop provenance systems for traceable, explainable graph relationships and matching decisions. Evaluate matching performance, document implementation logic, and balance false merges against false splits. Work remotely with occasional travel while supporting government mission applications.

Extract structured facts from long, unstructured and semi-structured documents while preserving exact source citations. Validate evidence, distinguish stated totals from derived calculations, handle ambiguity without guessing, and apply established extraction methods consistently. Collaborate with entity resolution and retrieval teams to support downstream systems. The role requires strong Python and NLP or information-extraction experience, U.S. citizenship, and an active Secret clearance.

Build and operate production retrieval-augmented generation systems, including embeddings, vector retrieval, grounded language-model generation, citation validation, prompt and schema design, model packaging, serving, rollback, and telemetry. Develop bounded model assistance for narrative extraction with provenance and rule-context tracking. Maintain resilient serving paths in secure government cloud environments, including restricted or air-gapped deployments.

Administer and maintain the Solix enterprise archiving platform, including installation, configuration, upgrades, user access, backups, recovery, troubleshooting, scripting, and documentation. Partner with application and infrastructure teams to support archiving requirements, resolve production issues, and ensure platform stability with minimal downtime. The role requires extensive Solix administration experience and independent support of a remote enterprise environment during US-aligned hours.

Lead and coach three to four Scrum and Kanban teams through planning, delivery, and continuous improvement. Facilitate roadmap, quarterly, and sprint planning; establish new Agile teams; align priorities with Product Management; manage dependencies and risks; use Agile metrics to improve predictability; and assess team maturity. The role supports hybrid Agile and Waterfall delivery involving internal staff and external partners.

Provides customer and student support across email, phone, chat, SMS, and social media. Processes enrollments, orders, refunds, and account updates; resolves issues; provides trained technical assistance; maintains accurate records; protects confidential information; collaborates across teams; and identifies process improvements. The role requires strong communication, organization, problem-solving, and customer-service skills in a fast-paced environment.

Design, develop, test, and deploy supply chain software for inventory, warehouse, and fulfillment systems. Lead technical decisions, mentor engineers, coordinate cross-functional Agile projects, decompose work, delegate tasks, and promote strong development and testing practices. Build monitoring systems that ensure business-process correctness and support high-volume, data-intensive applications.