Currency

Fullstack AI/ML Developer

AI/ML

Fullstack AI/ML Developer

AI/ML

Swiętego Mikołaja, Wrocław +1 Location

HiQo Solutions

Full-time
B2B, Permanent
Mid
Remote

Tech stack

    English

    B2

    Machine Learning

    regular

    LLMs

    regular

    AI

    regular

    TensorFlow

    regular

    Cloud experience (AWS/GCP/Azure)

    regular

    Python

    regular

    MLOps

    regular

Job description

Hello! It's nice to have you here! Let us introduce ourselves 😊


At HiQo Solutions we focus on developing entire IoT systems. We are US-based company, headquartered in Atlanta with delivery centers in Europe. 

Since 2007, we have delivered top-tier software engineering and IT consulting across healthcare, finance, logistics, and manufacturing. Our teams work on cutting-edge projects in software development, IoT, data science, and more, constantly exploring new ways to solve problems.




We are looking for a AI/ML Developer- Interested? Let's keep going! 


We're seeking a versatile ML/AI Specialist who can translate business problems into data-driven solutions and build end-to-end ML systems in partnership with our team.You will handle data exploration, modeling, deployment, and monitoring- owning the full lifecycle from concept to production. The ideal candidate combines solid software engineering and practical machine learning skills with hands-on MLOps, cloud experience, and expertise in modern AI, including LLMs and generative models.


We also encourage candidates who don’t meet every single requirement to apply — we value potential, curiosity, and a willingness to learn just as much as experience!




RESPONSIBILITIES: 


  • Translate business problems into ML/AI solutions and measurable success criteria.

  • Build reliable data pipelines (batch/stream) for training and inference; implement data validation and quality checks.

  • Develop, train, and evaluate models (classical ML and deep learning) with reproducible experiments.

  • Design and ship production services (APIs, batch jobs, streaming consumers) with automated tests and observability.

  • Establish and maintain MLOps foundations: versioning (code/data/models), experiment tracking, model registry, CI/CD, and automated deployments.

  • Monitor production systems (latency, throughput, cost, model performance, drift) and implement retraining/rollbacks.

  • Apply modern AI techniques: LLM integrations, retrieval-augmented generation, fine-tuning/adapters, prompt design and evaluation, guardrails.

  • Optimize cost and performance (profiling, batching, caching, quantization, GPU utilization) and ensure reliability.

  • Collaborate with product, data, and engineering stakeholders; document designs and decisions.


REQUIREMENTS:   


  • 3-5+ years building ML-powered products with production ownership (data - model - deployment - monitoring).

  • Strong Python and software engineering fundamentals: clean code, testing, logging, type hints, code reviews, modular design.

  • Proficiency with ML/DL stack: scikit-learn; PyTorch OR TensorFlow; pandas/NumPy; solid grasp of evaluation metrics and experiment design.

  • SQL and data modeling; experience with warehouses/lakehouses (e.g., BigQuery/Snowflake/Redshift) and ETL/ELT tools.

  • Orchestration and pipelines: Airflow/Prefect/Dagster or similar.

  • Containers and deployment: Docker; basic Kubernetes or serverless; API frameworks (FastAPI/Flask).

  • Cloud experience (AWS/GCP/Azure) including storage, compute, networking, and IAM basics.

  • MLOps tooling: experiment tracking and model management (MLflow, Weights & Biases), model registry, artifact/version control.

  • Monitoring/observability: metrics, tracing, and alerting (Prometheus/Grafana/CloudWatch/Datadog); model drift monitoring.

  • Practical AI/LLM experience: using hosted APIs or open-source models, embeddings/vector databases (FAISS/Pinecone/pgvector), RAG patterns, safety/guardrails.

  • Clear communication and the ability to scope, estimate, and deliver incrementally.

  • BS/MS in Computer Science, Data Science, Statistics, Engineering, or equivalent practical experience.

  • English Proficiency - B2+


NICE TO HAVE: 


  • Infrastructure as Code (Terraform/CloudFormation), Helm, KServe/SageMaker/Vertex AI/Azure ML.

  • Streaming systems (Kafka/Kinesis/Pub/Sub) and real-time inference.

  • Feature stores, data contracts, and data governance.

  • Performance tuning: ONNX/TensorRT, quantization, distillation, GPU scheduling; Numba/Cython.

  • Security and compliance basics for ML systems, PII handling, secrets management.

  • A/B testing, causal inference, and product analytics.


WE OFFER YOU:


  • It’s an unique opportunity to join our offices in Cracow or Wroclaw (only if you want to!)

  • Do you prefer working 100% remotely?- That’s totally possible!

  • We work only with foreign customers and our team is multicultural- a good way to study and improve your English skills.

  • Simple structure and 'open door' way of communication

  • Flexible working time - you can agree on it within the team

  • Necessary tools and equipment

  • Full-time English teachers

  • Medical insurance for employees

  • HiQo University- internal education and training programs

  • HIQO COINS - We have a system of rewarding employees for extracurricular activities



We’re open to discussing your expectations to make sure the opportunity aligns well for both sides. Let's talk!


Visit out careers site: https://www.hiqo-solutions.com/careers



Tech stack

    English

    B2

    Machine Learning

    regular

    LLMs

    regular

    AI

    regular

    TensorFlow

    regular

    Cloud experience (AWS/GCP/Azure)

    regular

    Python

    regular

    MLOps

    regular
Published: 10.10.2025

Fullstack AI/ML Developer

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Fullstack AI/ML Developer

Swiętego Mikołaja, Wrocław

HiQo Solutions

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