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- Tasks: Lead AI/ML projects, design scalable solutions, and deploy advanced AI technologies.
- Company: Join Infosys, a global leader in digital services and consulting.
- Benefits: Competitive salary, bonuses, and opportunities for continuous learning.
- Why this job: Work on cutting-edge Generative AI and make a real impact across industries.
- Qualifications: 7+ years in IT, 5+ years in Python and cloud platforms, strong problem-solving skills.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
The predicted salary is between 48000 - 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 OOP 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 OOP 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 OOP, data structures, stacks, queues, scripting, linked lists, 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_ AI/ML & Gen AI employer: Infosys
Contact Detail:
Infosys Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Analyst - Data Science_ AI/ML & Gen AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI/ML and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Lead Analyst - Data Science_ AI/ML & Gen AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in Python, AI/ML, and cloud platforms like AWS or Azure. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background aligns with our needs. Let us know what excites you about working at StudySmarter and how you can contribute.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with Generative AI, LLMs, or any other cool tech. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
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 AI/ML technologies. Brush up on your experience with cloud platforms like AWS, Azure, and GCP, as well as your knowledge of Generative AI and LLMs. Being able to discuss specific projects where you've applied these skills 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 defined problem statements and designed scalable solutions. This role is all about shaping impactful consulting solutions, so demonstrating your analytical skills will be key.
✨Engage with Stakeholders
Since collaboration is crucial, be ready to talk about your experience working with clients and stakeholders. Highlight how you’ve guided teams through project processes and deliverables. Showing that you can effectively communicate and manage relationships will set you apart.
✨Demonstrate Your Leadership Qualities
As a Senior Lead Analyst, you’ll need to act as a thought leader. Prepare to discuss instances where you’ve led initiatives or trained others. Emphasise your ability to drive business pursuits and build in-house capabilities, as this will resonate well with the interviewers.
