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- Tasks: Design and deploy cutting-edge AI/ML models while mentoring junior developers.
- Company: Join a forward-thinking tech company that values innovation and collaboration.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology, making impactful decisions in a dynamic environment.
- Qualifications: 5+ years in AI/ML with strong programming skills and experience in big data technologies.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 43200 - 72000 £ per year.
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
Network with professionals in the AI/ML field. Attend industry conferences, webinars, or local meetups to connect with others who work in similar roles. This can help you gain insights into the latest trends and potentially lead to referrals.
✨Tip Number 2
Showcase your projects on platforms like GitHub or personal websites. Highlight any AI/ML models you've developed, especially those that demonstrate your skills in LLMs and GenAI. This practical evidence of your expertise can make a strong impression.
✨Tip Number 3
Stay updated on the latest advancements in AI/ML technologies. Follow relevant blogs, podcasts, and research papers to keep your knowledge fresh. Being able to discuss recent developments during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to AI/ML. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and performance during the interview process.
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, particularly focusing on relevant projects and technologies you've worked with. Use keywords from the job description to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your passion for AI/ML. Mention specific projects or achievements that demonstrate your ability to design and deploy models, and explain how you can contribute to the company's goals.
Showcase Your Projects: If you have a portfolio of projects or contributions to open-source AI/ML initiatives, include links in your application. This gives the company tangible evidence of your capabilities and experience in the field.
Highlight Leadership Experience: Since the role involves mentoring junior team members, be sure to mention any leadership or mentoring experience you have. Discuss how you've guided others in previous roles and how you plan to support the team at the new company.
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 and 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 specific instances where you've collaborated with others to integrate AI/ML solutions. Emphasising teamwork will show that you can effectively communicate and work towards common goals.
✨Stay Updated on Industry Trends
Make sure to discuss recent advancements in AI/ML and how they could impact the industry. Showing that you're proactive about learning and adapting to new technologies will impress interviewers and demonstrate your commitment to the field.
