AWS Partner - AI Researcher

Job Title: AI Researcher

Department: Research and Development

Location: Shoreditch - 2/3 days hybrid

Company Description:

Sentinel is working with a leading data and cloud solutions provider, specializing in helping businesses transform their data into actionable insights on Amazon Web Services (AWS). We are passionate about leveraging the latest AWS technologies to design, build, and deploy cutting-edge data solutions. Our expertise spans data warehousing, data lakes, big data processing, and advanced analytics. We pride ourselves on our collaborative, client-centric approach and our commitment to delivering exceptional results. We foster a dynamic and supportive work environment where innovation and professional growth are highly valued.

Job Summary:

We are seeking a highly skilled and motivated AI Researcher to join our growing Research and Development team. In this role, you will be responsible for conducting cutting-edge research in artificial intelligence (AI) and machine learning (ML), with a focus on developing innovative solutions for data-focused projects on the Amazon Web Services (AWS) platform. You will work closely with our AWS Data Project Managers, data scientists, and engineers to translate research findings into practical applications that address real-world client challenges and drive significant business value.

Responsibilities:

• Research and Innovation: Conduct original research in AI and ML, exploring new algorithms, models, and techniques to advance the state of the art.
• AWS AI/ML Focus: Focus on developing AI/ML solutions within the AWS ecosystem, leveraging services such as Amazon SageMaker, Amazon Comprehend, Amazon Rekognition, Amazon Translate, and other relevant technologies.
• Client Collaboration: Collaborate with AWS Data Project Managers and clients to understand their business goals, data challenges, and opportunities for applying AI/ML.
• Requirements Elicitation: Work with clients and internal teams to define research objectives, project scope, and success criteria for AI/ML initiatives.
• Data Analysis and Experimentation: Analyse large datasets, design and conduct experiments, and evaluate the performance of AI/ML models.
• Solution Development: Translate research findings into practical solutions, including the development of prototypes, proof-of-concepts, and production-ready AI/ML applications.
• Collaboration: Collaborate with data scientists, data engineers, and software developers to integrate AI/ML solutions into data-focused AWS projects.
• Documentation and Communication: Document research methodologies, experimental results, and software implementations. Communicate findings to both technical and non-technical audiences through reports, presentations, and publications.
• Knowledge Sharing: Stay up-to-date with the latest advancements in AI/ML and share knowledge with the broader team through internal seminars, workshops, and training sessions.
• Publication and Presentation: Publish research findings in top-tier conferences and journals, and present at industry events.

Qualifications:

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong background in mathematical and statistical concepts relevant to AI/ML.
• Minimum of 2 years of experience conducting research in AI/ML.
• Experience working with Amazon Web Services (AWS) and its AI/ML services is highly desirable.
• Proven ability to design, implement, and evaluate AI/ML models.
• Proficiency in programming languages such as Python, with experience in relevant AI/ML libraries and frameworks (eg, TensorFlow, PyTorch, scikit-learn).
• Excellent communication, interpersonal, and presentation skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Ability to thrive in a fast-paced, research-driven environment.

Technical Skills:

• Proficiency in AWS AI/ML services, including but not limited to: Amazon SageMaker, Amazon Comprehend, Amazon Rekognition, Amazon Translate, Amazon Transcribe.
• Strong understanding of deep learning, machine learning, and natural language processing (NLP).
• Experience with data modelling, data warehousing, and ETL processes.
• Familiarity with big data technologies (eg, Spark, Hadoop) is a plus.
• Experience with software development and deployment in AWS is a plus.

Preferred Skills:

• Publications in top-tier AI/ML conferences and journals.
• Experience with developing and deploying AI/ML solutions for real-world applications.
• Knowledge of data security and privacy issues related to AI/ML.
• Experience with various deep learning architectures (eg, CNNs, RNNs, Transformers).
• Contributions to open-source AI/ML projects.

Your application with Sentinel

Sentinel is an award-winning technology recruitment and consulting company with offices in the UK, Czech Republic, and Switzerland. We work with global brands, ambitious start-ups, and leading recruitment outsourcers, ensuring access to exceptional talent through permanent, contingent labour, and statement of work services.

We aspire to provide great service to all applicants. If we think you're right for the role, we'll be in touch as soon as possible.

To apply for this role or more information, please apply with your up to date CV below or email (see below)