Informacje o stanowisku

Were looking for a versatile Mid- Senior AI/ML Specialist who can translate business problems into data-driven solutions and deliver models to production in close collaboration with our team. Youll work across data exploration, modeling, and integration, with a strong emphasis on modern AI from classical machine learning to generative models and LLMs.

In this role, youll build and operate end-to-end ML systems, owning data pipelines, modeling, deployment, monitoring, and iteration. The ideal candidate combines solid software engineering fundamentals with practical machine learning expertise and hands-on experience in MLOps and cloud environments.

Location: Poland (office in Krakow/Wroclaw or 100% remote) 

WE OFFER YOU:

• Flexible working time - you can agree on it within the team
• Necessary tools and equipment
• Communication in English - only foreign customers, and international Teams
• Simple structure and open door way of communication
• 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

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.
• Production experience with image/video ML: classification, object detection, segmentation, tracking, OCR/document AI.
• CV frameworks and libraries: OpenCV; PyTorch (torchvision, timm) or TensorFlow/Keras; YOLO/Detectron2/MMDetection; augmentation with Albumentations.
• 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.
• Education:  BS/MS in Computer Science, Data Science, Statistics, Engineering or equivalent practical experience.
• English Proficiency at least B2 level.

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.
• Multimodal and generative vision: CLIP/BLIP/ALBEF, Vision Transformers, diffusion models (inpainting, super-resolution), visual RAG.
• 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.

Were looking for a versatile Mid- Senior AI/ML Specialist who can translate business problems into data-driven solutions and deliver models to production in close collaboration with our team. Youll work across data exploration, modeling, and integration, with a strong emphasis on modern AI from classical machine learning to generative models and LLMs.

In this role, youll build and operate end-to-end ML systems, owning data pipelines, modeling, deployment, monitoring, and iteration. The ideal candidate combines solid software engineering fundamentals with practical machine learning expertise and hands-on experience in MLOps and cloud environments.

Location: Poland (office in Krakow/Wroclaw or 100% remote) 

WE OFFER YOU:

• Flexible working time - you can agree on it within the team
• Necessary tools and equipment
• Communication in English - only foreign customers, and international Teams
• Simple structure and open door way of communication
• 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

,[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 including multimodal, retrieval-augmented generation, visual embeddings for RAG, 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: Machine learning, AI, Python, SQL, MLOps, Terraform, CloudFormation, Streaming systems , Multimodal and generative vision Additionally: Private healthcare, Small teams, International projects, Nauka języka angielskiego, Elastyczne godziny pracy, Biuro lub 100% Remote.

Praca Gdańsk

Gdańsk - Oferty pracy w okolicznych lokalizacjach