Hybrid Fullstack AI/ML Developer

at HiQo Solutions, Inc.

• Job title: Fullstack AI/ML Developer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, Amazon Redshift, AWS, Azure, BigQuery, Cloud, Docker, ETL, Flask, Google Cloud Platform, Grafana, Kubernetes, Numpy, Pandas, Prometheus, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Krakow, Poland

About the role

• ML/AI Specialist translating business problems into data-driven solutions and building end-to-end ML systems. Collaborating with diverse teams to ensure production ownership and maintain model performance.

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+

Benefits

• 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