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- Tasks: Design and deploy cutting-edge AI/ML models while mentoring junior developers.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI with real-world impact.
- Qualifications: 5+ years in AI/ML development; strong programming skills in Python or R required.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 43200 - 72000 £ per year.
***** Sponsorship Available for this role *****
Responsibilities:
- Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI.
- Perform feature engineering and selection to optimize model performance.
- Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
- Train, evaluate, and optimize models using machine learning and statistical techniques.
- Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
- Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets.
- Deploy models to production environments, ensuring robustness and scalability.
- Monitor model performance and define strategies for identifying drift; retrain or refine models as needed.
- Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems.
- Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making.
- Stay updated on the latest advancements in AI/ML and data science technologies.
- Lead and mentor junior team members.
- Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes.
Qualifications:
- 5+ years of experience in AI/ML development and data science.
- Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).
- Proficiency in Python, R, or other relevant programming languages.
- Proficiency in working with large datasets, data wrangling, and data preprocessing.
- Experience in data science, statistical modelling, and data analytics techniques.
- Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work independently and lead projects from inception to deployment.
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable.
- MSc or PhD in Computer Science, Data Science, Artificial Intelligence, or related field is preferred.
Senior AI/ML Developer employer: 2N Future Tech
Contact Detail:
2N Future Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Developer
✨Tip Number 1
Make sure to showcase your experience with AI/ML algorithms and frameworks during networking events or meetups. Engaging in discussions about your projects can help you connect with industry professionals who might refer you to opportunities at StudySmarter.
✨Tip Number 2
Stay updated on the latest trends in AI/ML by following relevant blogs, podcasts, and research papers. This knowledge will not only prepare you for interviews but also demonstrate your passion for the field when you engage with our team.
✨Tip Number 3
Consider contributing to open-source AI/ML projects or creating your own. This hands-on experience can be a great talking point in interviews and shows your commitment to continuous learning and improvement.
✨Tip Number 4
Leverage LinkedIn to connect with current employees at StudySmarter. A friendly message expressing your interest in the Senior AI/ML Developer role can lead to valuable insights and potentially a referral to help you land the job.
We think you need these skills to ace Senior AI/ML Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML development and data science. Focus on specific projects where you've designed, developed, or deployed AI/ML models, and mention the technologies and frameworks you've used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with the responsibilities of the role. Mention any leadership experience you have, especially in mentoring junior team members, as this is a key aspect of the position.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or case studies. Detail the challenges you faced, the solutions you implemented, and the outcomes achieved, particularly in relation to model performance and data analysis.
Highlight Continuous Learning: Demonstrate your commitment to staying updated on the latest advancements in AI/ML. Mention any recent courses, certifications, or conferences you've attended that are relevant to the field, as this shows your dedication to professional growth.
How to prepare for a job interview at 2N Future Tech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI/ML algorithms and frameworks like TensorFlow or PyTorch. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially in feature engineering and model optimisation. This will highlight your analytical skills and approach to real-world issues.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, share examples of how you've collaborated with others in previous roles. Discuss how you integrated AI/ML models into business applications and the impact it had on decision-making.
✨Stay Updated on Industry Trends
Research the latest advancements in AI/ML and be ready to discuss them. Showing that you're proactive about staying informed will reflect your passion for the field and your commitment to continuous learning.
