At a Glance
- Tasks: Lead AI/ML projects, develop scalable solutions, and collaborate with clients to solve complex challenges.
- Company: Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, diverse work culture, and opportunities for continuous learning.
- Other info: Join a dynamic team focused on innovation and career growth.
- Why this job: Work on cutting-edge Generative AI technologies and make a real impact across industries.
- Qualifications: 7+ years in IT, strong Python skills, and experience with cloud platforms.
The predicted salary is between 80000 - 100000 € 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.
Your Role
- 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.
Responsibilities
- 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.
- Collaborate with stakeholders to define problem statements and solution approaches.
- Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines.
- Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines.
- Ensure high-quality delivery and adherence to best practices in AI/ML engineering.
Required
- 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 (e.g., Hadoop).
- 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.
Preferred
- 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.
- Domain expertise in Banking, Finance, or Capital Markets.
Personal Attributes
- High analytical skills
- Strong initiative and flexibility
- High customer orientation
- Strong quality awareness
- Excellent verbal and written communication skills
Why Infosys
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.
Infosys is proud to be an equal opportunity employer. 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.
Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK in Chester employer: LinkedIn
Infosys is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Chester or Bromley. With a strong commitment to employee growth, we provide continuous learning opportunities and the chance to work on cutting-edge technologies in AI and machine learning, all while promoting diversity and inclusion within our teams.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK in 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 Lead Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, AI/ML solutions, and any relevant work you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to data science and generative AI to ensure you're ready to impress.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at Infosys. Plus, it makes it easier for us to track your application and get back to you quickly.
We think you need these skills to ace Senior Lead Analyst - Data Science - Machine Learning & Gen AI - UK in Chester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Lead Analyst. Highlight your experience with Python, AI/ML solutions, and cloud platforms. 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 our team. Let us know what excites you about this role!
Showcase Relevant Projects:If you've worked on projects involving Generative AI or LLMs, make sure to mention them! We love seeing real-world applications of your skills, so don't hold back on sharing your achievements.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at LinkedIn
✨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 cloud platforms like AWS, Azure, and GCP, as you'll likely be asked to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex business challenges using AI/ML solutions. Think about how you defined problem statements and the approaches you took to solve them, as this will demonstrate your analytical skills and initiative.
✨Be Ready to Lead
As a Senior Lead Analyst, leadership is key. Be prepared to talk about your experience guiding teams through project processes and deliverables. Highlight any instances where you acted as a thought leader or drove business initiatives, as this will show your capability to lead and influence.
✨Communicate Clearly and Confidently
Strong communication skills are essential for this role. Practice articulating your thoughts clearly, especially when discussing technical concepts. Remember, you’ll need to collaborate with stakeholders, so being able to convey complex ideas simply will set you apart.