ML/Data Engineer

11.6k - 23k PLN11 550 - 23 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

11.6k - 23k PLN11 550 - 23 000 PLN/ mies./ mies.B2BB2B (netto)

SeniorZdalnie·WarszawaFull-time·Umowa o pracę·B2B

#471304·Dodano 4 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

Data engineerMLAI AgentsInfluxDBTimescaleDB

Podsumowanie oferty

Build production data infrastructure for an AI-powered sports performance platform, integrating sensor, video, sports science, and athlete performance data. Develop scalable systems that provide real-time insights and reliable data foundations for machine learning and AI capabilities.

Wymagania

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 with time-series data or time-series databases such as InfluxDB, TimescaleDB, Prometheus, or ClickHouse, or equivalent.
Significant experience with real-time or streaming data ingestion using Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent.
Experience designing graph data models or graph database schemas, not only querying an existing graph database.
Experience designing or operating multi-tenant systems with tenant-level data isolation.
Strong Python and SQL skills.
Experience with production systems where reliability, scalability, observability, and data correctness matter.
Ability to own ambiguous technical problems and turn them into practical production architecture.
Experience working directly with data scientists, ML engineers, or other technical domain specialists.
English at Upper-Intermediate level or above.

Nice to have:

Professional experience with Go.
Experience building probabilistic evaluation, model calibration, or model monitoring infrastructure.
Experience with causal inference, counterfactual modelling, or simulation.
Understanding of wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry.
Knowledge graphs or domain-specific ontologies.
Familiarity with LLM or AI evaluation frameworks and an understanding of their limitations.
Experience with AWS, including ECS, EC2, Lambda, SNS, or SQS.
Experience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.

Obowiązki

Design and build production data infrastructure for high-volume athlete performance and sensor data.
Build and operate real-time and near-real-time streaming data ingestion systems.
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 to measure model reliability, calibration, and performance across real-world cases.
Design systems that maintain tenant-level data isolation across clubs and customers.
Establish 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 technology and architecture decisions as the platform evolves.

Benefity

Opportunity to earn up to an additional 1,000 EUR per month, depending on expertise, included in the annual bonus for participating in company activities.
Access to the corporate training portal and its knowledge base.
Certification compensation, including for AWS and PMP certifications.
Referral program.
Private health insurance and sports compensation, depending on employment type.
Company events and activities, including parties, pizza days, and movies.
Fruit, coffee, and snacks.

Spotkania integracyjne

Premie

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Napoje w biurze

Darmowe przekąski

Andersen

30 aktywnych ofert

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