Senior Software Engineer developing high - performance diagnostic tools for NVIDIA’s networking platforms. Collaborating with teams for innovative solutions and ensuring hardware stability in high - performance computing environments.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Software Engineer designing and developing AI networking protocols for NVIDIA's cutting - edge technology. Collaborate with customers and handle all aspects of network driver development.
Software Developer Engineer in Networking at NVIDIA designing and verifying high - speed communication devices. Working closely with customers on product solutions across multiple platforms.
Full - Stack Developer responsible for developing features and improving processes at GovTech startup SUMM AI. Building AI solutions that create societal value in the public sector.
Senior Engineer developing AI tools for an early stage startup in Munich. Expected to build AI Agents and enhance frontend and backend applications while collaborating with the Co - Founder.
Senior Software Engineer at Anansi Solutions developing impactful client projects in a hybrid environment. Collaborating with teams and building internal tools while mentoring junior professionals.
TH
Internship in System Integration & Deployment at Think3DDD focusing on Docker, Linux, and Cloud environments. Learning to deploy web systems and work with modern technologies in an innovative startup.
Senior Product Engineer at Replit leading initiatives for innovation in software creation platforms focused on next generation creators. Collaborating on disruptive projects in a high - visibility role.
Tech Lead in Applied Computer Vision Algorithms at Niantic Spatial. Driving innovations in geospatial AI and 3D reconstruction with a high - performance software team.
Senior Software Engineer developing scalable, high - quality software for Open Government Products. Engaging in cross - functional collaboration and driving public service innovations through technology.