AI/ML Research and Development Engineer

Welocalize, Inc.; Remote; GBP 70,000 - 90,000; Full time

Job summary

A global technology firm is seeking a Staff Machine Learning Engineer to lead complex machine learning projects, design advanced algorithms, and mentor junior engineers. The role involves coordinating with cross-functional teams, ensuring ethical AI practices, and driving innovation in AI solutions for business processes. Candidates should have over 8 years in AI/ML, a BSc in a relevant field, and strong programming skills in Python or similar. Enjoy flexibility in a results-driven environment.

Qualifications

• 8+ years of experience in AI/ML Engineering or similar roles.
• Strong knowledge in classical and modern deep learning techniques.
• Experience managing large datasets and knowledge of big data technologies.

Responsibilities

• Lead the development of complex machine learning projects aligning with business objectives.
• Architect and design advanced machine learning models and systems.
• Mentor junior machine learning engineers and provide guidance.
• Coordinate with cross-functional teams ensuring cohesive progress.
• Drive innovation by researching cutting-edge techniques.

Skills

Advanced Programming Skills

Expertise in Machine Learning Algorithms

Strong Statistical Analysis and Modeling

Data Engineering Proficiency

Deep Learning Frameworks

Cloud Computing and MLOps

Natural Language Processing

Strong Problem-Solving Abilities

Leadership and Mentorship

Effective Communication

Project Management

Ethical AI Practices

Continuous Learning

Education

BSc in Computer Science, Mathematics or related field

Master's degree

Tools

Python

R

Java

Hadoop

Spark

Kafka

TensorFlow

PyTorch

Keras

AWS

Azure

Google Cloud

Job description

Overview

A Staff Machine Learning Engineer plays a pivotal role in leading and architecting complex machine learning projects, often acting as a bridge between technical teams and senior management. They are responsible for designing advanced algorithms, mentoring junior engineers, and driving strategic decisions to effectively integrate AI solutions into business processes. At Welocalize, we embrace a flexible, delivery-focused culture where success is measured by results, not rigid schedules. Team members are trusted to manage their own time, as long as commitments and deliveries are met. The core hours are 4pm-6pm CET, where our global team, from the west coast of US to India, is simultaneously online. Important cross-team meetings often take place in that time slot.

• Leads Project Development: Strategically leads the development of complex machine learning projects, ensuring they align with business objectives. This involves setting timelines, defining milestones, and coordinating with various teams.
• Architects ML Solutions: Expertly architects and designs advanced machine learning models and systems, considering scalability, efficiency, and integration with existing infrastructure.
• Mentors Junior Engineers: Actively mentors junior machine learning engineers, providing guidance and support to foster their professional growth and enhance team capabilities.
• Coordinates with Cross-Functional Teams: Regularly coordinates with cross-functional teams, including local project management teams, globally based business development teams, and other technical units, ensuring cohesive progress and alignment with broader company goals.
• Drives Innovation: Continuously drives innovation by researching and implementing cutting-edge techniques and technologies in machine learning and artificial intelligence.
• Manages Stakeholder Relationships: Effectively manages relationships with key stakeholders, including senior management, to communicate project progress, challenges, and outcomes.
• Ensures Ethical AI Practices: Vigilantly ensures that all AI models and practices adhere to ethical guidelines, promoting responsible and unbiased AI development.
• Evaluates Project Outcomes: Critically evaluates the outcomes of machine learning projects, assessing their impact on business goals and identifying areas for improvement.
• Presents Technical Insights: Articulately presents technical insights and project updates to both technical and non-technical audiences, ensuring clarity and understanding.
• Facilitates Knowledge Sharing: Fosters a culture of knowledge sharing and continuous learning within the team, organizing workshops and training sessions as needed.

Qualifications & Experience

• Education: BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus.
• Experience: 8+ years of experience in AI/ML Engineering or similar roles.
• Skills & Knowledge:
  • Advanced Programming Skills: Proficiency in Python, R, or Java, with a focus on clean, efficient, scalable code.
  • Expertise in Machine Learning Algorithms: Deep understanding of classical and modern deep learning techniques.
  • Strong Statistical Analysis and Modeling: Advanced knowledge in statistics for model development and data analysis.
  • Data Engineering Proficiency: Experience managing large datasets; knowledge of big data technologies like Hadoop, Spark, or Kafka.
  • Deep Learning Frameworks: TensorFlow, PyTorch, or Keras.
  • Cloud Computing and MLOps: Experience with AWS, Azure, or Google Cloud; knowledge of MLOps for deployment and maintenance.
  • Natural Language Processing and Computer Vision: Skills in NLP and computer vision as needed by projects.
  • Strong Problem-Solving Abilities: Ability to tackle complex ML challenges.
  • Leadership and Mentorship: Ability to lead project teams and mentor junior engineers.
  • Effective Communication: Ability to convey complex concepts to technical and non-technical stakeholders.
  • Project Management: Capable of overseeing multiple projects and ensuring timely delivery.
  • Ethical AI Practices: Understanding of ethical AI principles for fair, unbiased, and transparent models.
  • Continuous Learning: Commitment to ongoing learning and staying updated on AI/ML advancements.

About Welocalize

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com