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- Tasks: Develop and deploy cutting-edge AI models while collaborating with cross-functional teams.
- Company: Join a forward-thinking tech company in London, leading the AI revolution.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation, making a real impact in technology and society.
- Qualifications: Deep understanding of AI/ML, experience with MLOps, and knowledge of Cognitive AI techniques required.
- Other info: Opportunity to mentor others and shape the future of AI solutions.
The predicted salary is between 72000 - 108000 £ per year.
Demonstrates a deep understanding and practical experience in developing and deploying AI models.
Design and architect end-to-end AI/ML solutions.
Utilize MLOps methodologies to streamline the development, deployment, and monitoring of machine learning models.
Experience in Cognitive AI techniques such as NLP, Computer vision, Speech & Conversational AI.
Good understanding on working of Generative AI Models and its applications.
Ensure the robustness, scalability, and reliability of AI solutions.
Provide technical leadership and mentorship in AI to other team members.
Prepare detailed documentation for architecture, design, and implementation of AI solutions, ensuring knowledge transfer and future maintenance.
Collaborate with data scientists, ML engineers, and other stakeholders to transition prototypes to production.
Work closely with cross-functional teams to integrate AI solutions into products and services.
AI/ML Developer employer: Coforge U.K. Ltd
Contact Detail:
Coforge U.K. Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Developer
✨Tip Number 1
Familiarise yourself with the latest AI/ML trends and technologies, especially in areas like NLP and computer vision. This will not only help you during interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Engage with the AI/ML community through forums, webinars, and meetups. Networking can lead to valuable connections and insights that might give you an edge when applying for the role.
✨Tip Number 3
Prepare to discuss your previous projects in detail, focusing on the challenges you faced and how you overcame them. This showcases your problem-solving skills and practical experience, which are crucial for the role.
✨Tip Number 4
Be ready to demonstrate your understanding of MLOps methodologies. Highlight any experience you have with deploying and monitoring machine learning models, as this is a key aspect of the job.
We think you need these skills to ace AI/ML Developer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI/ML Developer position. Familiarise yourself with key concepts like MLOps, NLP, and Generative AI to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your practical experience in developing and deploying AI models. Include specific projects or achievements that demonstrate your expertise in Cognitive AI techniques and MLOps methodologies.
Showcase Technical Skills: Clearly outline your technical skills related to AI and machine learning in your application. Mention any programming languages, frameworks, or tools you are proficient in, especially those relevant to the job description.
Prepare a Strong Cover Letter: Craft a compelling cover letter that not only summarises your qualifications but also expresses your passion for AI and how you can contribute to the company's goals. Make sure to address how you can provide technical leadership and mentorship as mentioned in the job description.
How to prepare for a job interview at Coforge U.K. Ltd
✨Showcase Your AI/ML Knowledge
Be prepared to discuss your experience with developing and deploying AI models. Highlight specific projects where you've utilised MLOps methodologies and explain how you ensured the robustness and scalability of your solutions.
✨Demonstrate Technical Leadership
Since the role involves providing mentorship, be ready to share examples of how you've led teams or guided colleagues in AI projects. Discuss your approach to knowledge transfer and documentation practices.
✨Familiarise Yourself with Cognitive AI Techniques
Brush up on your understanding of NLP, computer vision, and conversational AI. Be prepared to discuss how you've applied these techniques in past projects and their relevance to the role.
✨Prepare for Collaboration Questions
The job requires working closely with cross-functional teams. Think of examples where you've successfully collaborated with data scientists or ML engineers to transition prototypes into production, and be ready to share those experiences.
