ML/Data Engineer

• Design and build production data infrastructure for high-volume athlete performance and sensor data.
• Build and operate real-time and near-real-time ingestion systems for streaming data.
• Design storage and data architectures for high-volume time-series data and longitudinal athlete records.
• Build infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency.
• Design and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes.
• Build data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases.
• Design systems that maintain strong tenant-level data isolation across clubs and customers.
• Establish appropriate data provenance, lineage, auditability, and observability across the platform.
• Work with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation.
• Work with sport scientists and domain experts to translate complex requirements into durable production systems.
• Make pragmatic technology and architecture decisions as the platform evolves.

• 5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects.
• Proven experience designing, building, and operating production data infrastructure at scale.
• Strong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies.
• Significant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent.
• Experience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database.
• Experience designing or operating multi-tenant systems with tenant-level data isolation.
• Strong Python and SQL skills. Professional experience with Go is highly desirable.
• Experience working with production systems where reliability, scalability, observability, and data correctness matter.
• Ability to take ownership of ambiguous technical problems and turn them into practical production architectures.
• Experience working directly with data scientists, ML engineers, or other technical domain specialists.
• Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure.
• Experience with causal inference, counterfactual modelling, or simulation.
• Experience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry.
• Experience building knowledge graphs or domain-specific ontologies.
• Experience with LLM or AI evaluation frameworks and an understanding of their limitations.
• Experience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services.
• Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.

Based on proprietary pioneering business models of Offshore Dedicated Team® and Remote In-Sourcing®, an advanced Technical Debt Reduction Platform (TETRA ) and measurable SLAs for software engineering, Intetics helps innovative organizations capitalize on global talent with our in-depth engineering expertise based on our Predictive Software Engineering framework. Intetics core strength lays in design of software products in conditions of incomplete specifications. We have extensive industry expertise in Education, Healthcare, Logistics, Life Sciences, Finance, Insurance, Communications, and custom ERP, CRM, Intelligent Automation and Geospatial solutions.

Our advanced software engineering background and outstanding quality management platform, along with an unparalleled methodology for talent acquisition, team building and talent retention, guarantee that our clients receive exceptional results for their projects. At Intetics, our outcomes do not just meet clients expectations, they have been exceeding them for a quarter of a century. Intetics operates from multiple offices in the USA, Europe and Latin America, hiring the best talent available worldwide.

Intetics is ISO 9001 (quality) and ISO 27001 (security) certified and a Microsoft Gold, Amazon, and UiPath Silver partner. The company’s innovation and growth achievements are reflected in winning prestigious titles and awards, including Inc5000, Software 500, CRN 100, American Business, Deloitte Fast 50, European IT Excellence, Best European BPO, Stevie People’s Choice, Clutch and ACQ5 Awards, IAOP Global Outsourcing 100 and Fortune Innovative 300 lists. You can find more information at https://intetics.com We invite you to join Intetics TEAM! Apply For This Job

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