As an AI/Machine Learning Engineer at Merkle, you will be an integral part of our growing team, focused on leveraging modern AI technologies to inspire creativity and enhance our products and services. With a primary emphasis on natural language processing (NLP) and cloud-based solutions, you will collaborate with cross-functional teams to develop and deploy machine learning models, ensuring scalability, reliability, and effectiveness in addressing customer needs.
Responsibilities:
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NLP Development: Lead the development of NLP solutions, including language models, LMN models, and other advanced NLP techniques, applying tools such as Azure Machine Learning Studio.
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Model Development: Develop machine learning models for several tasks, including data classification, token classification, sentiment analysis, entity recognition.
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Cloud Integration: Utilize Azure cloud services to develop AI solutions, ensuring seamless integration with existing systems and scalability to meet growing demands.
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Collaboration: Work with teams, including software engineers, data scientists, and product managers, to understand our requirements and translate them into AI solutions.
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Research and Evaluation: Stay updated with the latest advancements in AI and machine learning technologies, conduct research to explore new methodologies, and evaluate their applicability to our projects.
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Performance Optimization: Fine-tune machine learning models for optimal performance, addressing issues related to accuracy, speed, and resource efficiency.
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Documentation: Create comprehensive documentation for developed models, including technical specifications, implementation details, and user guides.
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Continuous Improvement: Participate in code reviews, share best practices, and contribute to the continuous improvement of our AI development processes.
You will be reporting to the Cloud Solutions Manager
Qualifications:
- Minimum of 3 years of experience working in AI/machine learning roles, with a focus on NLP and cloud-based solutions.
- Bachelor's degree in Computer Science or similar.
- Proficiency in Python, with experience in libraries such as HuggingFace, TensorFlow, PyTorch, or Scikit-learn.
- Understanding of NLP concepts and techniques, including word embeddings, language models, and text classification.
- Experience with Azure cloud services, Azure Machine Learning Studio.
- Familiarity with deep learning architectures, such as CNNs, RNNs, and Transformers.
- Knowledge of software engineering principles, including version control (e.g., Git) and agile methodologies.
- Ability to learn new technologies and methodologies.
- Fluency in English
Join us in our mission to revolutionize AI-driven solutions and contribute to the growth of our company as we expand our capabilities in artificial intelligence and machine learning.
Benefits and perks:
- Modern Technology & Latest IT tools
- Software-house environment
- Agile and Flexible working hours
- Digital nomad policy
- Focus on career development
- Health insurance (also included for the household)
- Mental health support
- Volunteer experiences and sustainable mindset
- 25 vacation days + 3 wellness days per year
- Beers (after 6pm), foosball, and ping-pong! #workhardplayhard
- Free breakfast every second Monday of the month
- Employee discounts
- Team & Company events 🎉
Inclusion & Diversity
We value the strength diversity brings to our business and are working to build a more inclusive workplace through partnerships with Stonewall, Business Disability Forum and Business in the Community's race and gender equality campaigns. We are happy to discuss all approaches to working for all our roles – we can't promise we will offer you everything you want or need but we do promise to discuss it with you openly and honestly.
If you have any reasonable adjustment needs arising from a disability or medical condition to participate in the recruitment process, please discuss this with the recruiter who contacts you.
#LI-Hybrid
