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- Tasks: Lead the design and deployment of advanced AI solutions using Python and cloud platforms.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, diverse work environment, and opportunities for continuous learning.
- Why this job: Work on cutting-edge Generative AI technologies and make a real impact across industries.
- Qualifications: 7+ years in IT, with strong Python and AI/ML experience required.
- Other info: Dynamic role with excellent career growth and a focus on innovation.
The predicted salary is between 43200 - 72000 £ per year.
Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models (LLMs), and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML, and GCP AI Services.
This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets.
As a Senior Lead Analyst, you will:
- Anchor the engagement effort from business process consulting and problem definition to solution design, development, and deployment.
- Lead the discovery and definition of AI/ML solutions and guide teams on project processes and deliverables.
- Act as a thought leader in your domain, advising on architecture and design reviews.
- Drive business pursuit initiatives, client training, and in-house capability building.
- Shape value-adding consulting solutions that help clients meet evolving business needs.
Develop the core Python Programs using OOPs Concepts:
- Design and develop scalable AI/ML solutions using Python and cloud platforms.
- Lead the implementation of Generative AI models, LLMs, and agentic frameworks.
- Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines.
- Ensure high-quality delivery and adherence to best practices in AI/ML engineering.
Minimum qualifications include:
- Minimum 7 years of experience in Information Technology.
- Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development.
- Minimum 5 years in Big Data technologies.
- Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Minimum 5 years in ML model development, data engineering, and software engineering.
- Minimum 3 years in MLOps and AI/ML deployment.
- Minimum 2 years in Generative AI, LLMs, and agentic frameworks.
Additional requirements:
- Experience with API Gateway development and deployment on Azure/GCP.
- Hands-on experience with vector databases and RAG pipelines.
- Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.
- Strong problem-solving and stakeholder management skills.
- Strong quality awareness.
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.
We do this by enabling the enterprise with an AI-powered core and agile digital at scale to deliver unprecedented performance and customer delight. Our always-on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
All aspects of employment are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees.
Locations
Senior/Lead Data Analyst in Cheshire, Chester employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Lead Data Analyst in Cheshire, Chester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI/ML, and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Generative AI, LLMs, and vector databases. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Infosys. Tailor your application to highlight your relevant experience and how you can contribute to our innovative projects.
We think you need these skills to ace Senior/Lead Data Analyst in Cheshire, Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Lead Analyst. Highlight your experience with Python, AI/ML solutions, and cloud platforms like AWS or Azure. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for this role. Don’t forget to mention any relevant projects you've worked on that showcase your expertise.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in the context of AI and data science.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining the StudySmarter team!
How to prepare for a job interview at Infosys
✨Know Your Tech Inside Out
Make sure you’re well-versed in core Python, OOP concepts, and the latest in Generative AI. Brush up on your knowledge of LLMs and agentic frameworks, as these will likely come up during the interview. Being able to discuss specific projects where you've applied these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex business challenges in the past. Think of examples where you’ve designed scalable AI solutions or led a team through a project. This is your chance to demonstrate your thought leadership and how you can add value to their consulting solutions.
✨Familiarise Yourself with Cloud Platforms
Since the role involves working with AWS, Azure, and GCP, make sure you understand their AI/ML services. Be ready to talk about your experience with these platforms, especially in deploying AI models and using vector databases. Highlight any hands-on experience you have with CI/CD and DevOps tools in this context.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask insightful questions about their current projects or challenges they face in AI/ML. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.