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For Companies At a Glance
- Tasks: Design and develop AI models, write efficient code, and collaborate on innovative solutions.
- Company: Join Sprytech Ltd, a leading cyber security and emerging tech company in London.
- Benefits: Enjoy flexible hours, remote work, and access to cutting-edge technologies.
- Why this job: Make a real impact in AI/ML-driven cybersecurity and enhance industry security.
- Qualifications: Bachelor’s or Master’s in Computer Science or related field with AI/ML experience.
- Other info: Dynamic environment with excellent career growth and professional development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Sprytech Ltd is an established cyber security and emerging technology company based in London, UK, founded by experienced technocrats having many years of industry experience across the globe. Sprytech has started an India office based in Mumbai and is working to establish an AI/ML driven cybersecurity and digital threat analytics centre to enhance the security of industry and government organisations.
We are looking for an AI Application Developer to join our innovative team.
Application Process
Interested candidates are invited to submit their resume, cover letter, and portfolio of relevant projects to info@sprytech.uk. Please include examples of previous work, such as GitHub repositories or published papers, if applicable.
Last date of application: 30th June 2024
Start Date: 1st August 2024
Key Responsibilities
- AI Model Development: Design, develop, and train machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. Fine-tune and optimize models for performance and scalability.
- Software Development: Write clean, maintainable, and efficient code in programming languages such as Python, Java, or C++. Develop APIs and integrate AI models into applications.
- Data Handling: Collect, pre-process, and analyse large datasets to train and evaluate AI models. Implement data augmentation and validation techniques to improve model accuracy.
- Solution Design: Collaborate with cross-functional teams to define requirements and design AI solutions that meet business needs. Conduct feasibility studies and cost-benefit analysis.
- Testing and Deployment: Implement testing frameworks to ensure the robustness of AI models. Deploy models in production environments using cloud services like AWS, Google Cloud, or Azure.
- Performance Monitoring: Continuously monitor the performance of AI models in production. Troubleshoot issues and implement improvements based on feedback and performance metrics.
- Documentation and Reporting: Maintain comprehensive documentation of AI models, code, and development processes. Prepare reports and presentations to communicate findings and progress to stakeholders.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Experience: Proven experience in AI/ML model development and software engineering. Experience with end-to-end AI project deployment is highly desirable.
Technical Skills
- Proficiency in programming languages such as Python, Java, or C++.
- Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of algorithms, data structures, and software design principles.
- Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
- Familiarity with databases (SQL, NoSQL) and data processing tools (Pandas, NumPy).
Soft Skills
- Excellent problem-solving skills.
- Strong communication abilities.
- Capability to work collaboratively in a team environment.
Preferred Skills
- Experience with natural language processing (NLP) and computer vision techniques.
- Knowledge of reinforcement learning and deep learning architectures.
- Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
- Experience in agile development methodologies and project management tools like JIRA.
Opportunities for professional development and continuous learning. Flexible working hours and remote work options. Access to cutting-edge technologies and a dynamic work environment.
Job Type: Permanent Full-time
Location: London/Slough
Salary: Market Rates (Based on experience)
AI Application Developer employer: Sprytech Ltd
Contact Detail:
Sprytech Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Application Developer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or tech conferences. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio that highlights your best projects. Include links to your GitHub repositories or any published papers. This is your chance to shine and show what you can do!
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Don’t forget to brush up on your soft skills too; communication is key when working in a team!
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing the job. Tailor your application to highlight how your skills align with what we’re looking for at Sprytech!
We think you need these skills to ace AI Application Developer
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights the skills and experiences that are most relevant to the AI Application Developer role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your AI/ML projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be genuine, share your passion for AI, and explain how your experience can contribute to our innovative projects at Sprytech.
Showcase Your Work: Include links to your GitHub repositories or any published papers in your application. We love seeing real examples of your work, so make it easy for us to check out your projects and contributions!
Follow Application Instructions: Don’t forget to send your application to info@sprytech.uk as specified! Following the instructions shows us that you pay attention to detail, which is super important in our field.
How to prepare for a job interview at Sprytech Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AI/ML frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on your coding skills in Python, Java, or C++, and be ready to discuss your previous projects in detail.
✨Showcase Your Projects
Prepare a portfolio that highlights your best work. Include GitHub repositories or any published papers that demonstrate your experience with AI model development and software engineering. This will give the interviewers a tangible sense of your capabilities.
✨Understand the Company’s Vision
Research Sprytech Ltd and their focus on AI-driven cybersecurity. Be prepared to discuss how your skills can contribute to their mission and how you can help enhance security for industry and government organisations.
✨Practice Problem-Solving Scenarios
Expect technical questions that test your problem-solving skills. Practice explaining your thought process when tackling complex issues, especially related to AI model performance and deployment. This will show your analytical abilities and collaborative mindset.