Externally-facing analytic consultant who brings deep business and technical knowledge to designing and completing analyses which drive data-centric decision-making.
Compensation
$98,092.00 - $156,947.00
Responsibilities
Lead the design and development of high quality, user-friendly analytic visualizations, dashboards, reports, and related analytic content
Develop new and high impact visualizations that make analysis and data easy to understand, actionable, and facilitate idea generation and decision making
Lead process design and automation of complex reporting packages and dashboards
Manage scalable documentation for processes and tools, including establishing SLAs and Plans and Procedures with other internal analytics teams
Lead direct analytics relationship with external clients and build a relationship of confidence as a data consultant
The Linux Developer will design, deploy, and maintain Linux-based server environments that support application development and testing. You’ll collaborate closely with engineering, testing, and deployment teams to ensure our systems are secure, efficient, and support product development.
Responsibilities
Architect, configure, and maintain Linux servers supporting experimental workloads and simulations for various battery storage applications.
Implement secure, isolated environments for prototype applications and test logging.
Develop automation scripts and tooling (Bash, Python, etc.) to streamline application testing workflows.
Diagnose and resolve issues related to compute performance, networking, or experimental workloads.
Ensure server security complies with latest cybersecurity standards and requirements.
Requirements
Bachelor's degree in computer science or related field
Stable employment conditions based on an employment contract (turnover rate below 4%) 1 additional vacation day for all, and 1 extra after 10 years with us Flexible working hours and hybrid work (presence in the office in Gdynia 3 days a week) English lessons during working hours Internal training program to support your training needs Paid employee referral program Multisport Card 3% employer contribution to PPK Private Health Care at Medicover (extended package for employees and possibility to enroll family members)
Responsibilities
Own features from business need to production, including requirements, design, delivery, and follow-up
Design and implement services across the platform, including network observability, troubleshooting, and large-scale device operations
Work directly with product management, architects, and business stakeholders to clarify goals, scope, and priorities
Review designs and implementations for technical quality and fit with the business goal
Actively contribute to good engineering practices within the team
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Seeking highly motivated junior level Software Engineers to support the continued development and sustainment of the U.S. Navy's Aegis Weapons System using agile development methodology.
Responsibilities
Work in a collaborative team using agile development methodology
Perform subsystem definition, preliminary and detailed design, design implementation, subsystem and system integration, and testing
Participate in software requirements review, preliminary and critical design reviews, integration readiness review, and software acceptance reviews
Research problems and develop solutions
Requirements
Bachelor’s degree (in Engineering, Computer Science, Math, Physics, or related field)
As an AI Implementation Intern at Apache, you will be responsible for working with executive and operational leaders to understand what they need, then collaborating with the Business Intelligence team to build in-house systems and tools that meet those needs. The work uses large language models (LLMs), cloud services and company data to turn a leader's problem into a working tool.
Responsibilities
Meeting with executive and operational leaders to understand their needs and the problems they want to solve
Working with the Business Intelligence team to design and build in-house systems and tools that meet those needs
Writing and testing prompts for LLMs and building AI tools that automate routine tasks
Managing code in GitHub and supporting cloud deployment of tools and databases
Collaborating with team members, leaders, and other departments
Requirements
Pursuing or holding a bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or a related field, or equivalent hands-on experience
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse) pour des clients de secteurs variés.
Responsibilities
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse)
Définir les modèles de données, les flux d’intégration et les standards d’architecture permettant de répondre aux besoins métiers et analytiques
Accompagner les clients dans leurs programmes de modernisation et de migration vers le Cloud
Participer à la définition des stratégies Data et des feuilles de route de transformation
Garantir la performance, la scalabilité, la sécurité et la qualité des plateformes de données
Nous recherchons un Expert Manager en Intelligence Artificielle (IA) et Data Science pour gérer et réaliser des projets de conseil et d'implémentation autour de l'IA et de l'Intelligence Générative (GenAI).
Responsibilities
Gérer et réaliser des projets de conseil en AI et Data Science.
Concevoir, développer et implémenter des solutions AI et GenAI.
Collaborer avec les clients pour comprendre leurs besoins et traduire ces besoins en solutions techniques.
Assurer la gestion de projet, y compris la planification, l'exécution et le suivi de la performance.
Encadrer et former les membres de l'équipe sur les meilleures pratiques en AI et Data Science.
The base salary range is $161,000 - $182,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The successful candidate will have the opportunity to convert to a full-time regular position. We also offer new-hire RSU grants and the opportunity for annual RSU grants, as well as other highly competitive benefits.
Responsibilities
Train model for quantization and pruning
Understand how backpropagation of training
Verify models for accuracy
Modify pytorch code to model Ambarella SoC
Create scripts and utilities for data preprocessing, model training, validation and inference
Requirements
BS in Computer Science, Electrical Engineering, or a related field
Nice to have: MS in Computer Science or related fields
Nice to have: industry experience in related field
Nice to have: compression techniques like QAT, pruning
Nice to have: containerization techniques like docker