ML Architect

Grid Dynamics; Málaga; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading technology consulting firm is seeking an experienced AI/ML Architect to lead client engagements and innovative projects remotely from Spain. This role requires strong leadership skills and deep technical expertise in AI/ML and generative AI. The ideal candidate should have over 8 years of experience or an advanced degree in a related field. The firm offers a competitive salary and professional development opportunities.

Servicios

Opportunity to work on bleeding-edge projects

Work with a highly motivated team

Competitive salary

Flexible schedule

Professional development opportunities

Formación

• 8+ years of experience in relevant fields; or 7+ years with Master's; or 3+ years with PhD.
• Proven experience as Enterprise Architect focusing on AI/ML.
• Strong understanding of generative AI techniques.

Responsabilidades

• Develop and communicate the generative AI vision and strategy.
• Architect scalable systems for deploying generative AI applications.
• Provide leadership and mentorship to teams.
• Oversee the end-to-end process of generative AI solutions.
• Work closely with stakeholders to identify AI-driven solutions.
• Monitor and optimize production systems.
• Design and manage CI/CD pipelines.
• Define and deliver quality API access for services.
• Recruit, mentor, and coach team members.

Conocimientos

Python

R

Java

TensorFlow

PyTorch

AWS

Azure

Docker

Kubernetes

Educación

Bachelor’s degree in Computer Science or Engineering

Master’s degree in relevant fields

PhD in relevant fields

Herramientas

Snowflake

Descripción del empleo

Overview

This is a remote position based in Spain. While you will be working remotely, applicants must be legally residing in Spain and eligible to work here. Grid Dynamics is looking for an AI/ML Architect who will be leading major client engagements in the ML/CV/GenAI areas, pre-sales pursuits across Europe and the USA, and innovative RnD projects. The right candidate will have deep technical knowledge, domain expertise, and strong leadership skills to contribute towards the development of the global AI/ML practice.

Responsibilities

• Strategic Leadership: Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives.
• Architecture Design: Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks.
• Technical Guidance: Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.
• Project Management: Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.
• Collaboration: Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.
• Performance Monitoring: Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications.
• CI/CD Pipeline Management: Design and manage continuous integration and continuous deployment pipelines for generative AI solutions.
• API Development: Define and deliver quality API access for various generative AI services.
• Team Development: Recruit, mentor, and coach team members to foster a culture of continuous learning.

Requirements

• Educational Background: Bachelor’s degree with 8+ years of experience; or Master’s degree with 7+ years of experience; or PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).
• Experience: Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies.

Technical Skills

• Proficiency in programming languages such as Python, R, or Java.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and libraries for deep learning.
• Strong understanding of generative AI techniques, including deep generative models and reinforcement learning.
• Expertise in CI/CD pipeline design and management, particularly in the context of generative AI.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).

Data Management Skills

• Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake).

Nice to have

• Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., ChatGPT).
• Understanding of AI agents for decision-making and deployment of complex applications.
• Experience in the commercial domain or specific industry knowledge (e.g., biopharmaceuticals).

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Professional development opportunities

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.