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- Tasks: Join us to design and deploy cutting-edge AI models that transform businesses.
- Company: Infosys Consulting is a leading innovator in AI and machine learning solutions.
- Benefits: Enjoy competitive salary, flexible hours, and access to the latest AI technologies.
- Why this job: Be part of a diverse team driving innovation and shaping the future of AI.
- Qualifications: Master's or Ph.D. in a relevant field with 3+ years of experience in AI.
- Other info: Work in a collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
Infosys Consulting is a leading innovator in the tech industry, specializing in artificial intelligence and machine learning solutions. We work with a diverse range of clients to deliver cutting-edge AI technologies that drive business growth and innovation. We are looking for a talented Machine Learning/Generative AI Consultant to join our team and help us build the future of AI.
Key Responsibilities:
- Collaborate with clients to understand their business needs and translate them into technical requirements.
- Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems.
- Conduct research and stay updated on the latest advancements in AI and machine learning technologies, particularly in generative models such as GANs, VAEs, and diffusion models.
- Analyze large datasets to uncover patterns, insights, and opportunities for machine learning applications.
- Optimize and fine-tune models for performance, scalability, and accuracy.
- Build and maintain scalable data pipelines for model training and deployment.
- Provide technical guidance and mentorship to junior data scientists and engineers.
- Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.
- Develop and present client deliverables, including project plans, progress reports, and final presentations.
- Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies.
Requirements:
- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
- Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GANs, VAEs, transformers, or diffusion models.
- Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and MLops tools for model deployment and management.
- Excellent problem-solving skills with a strong ability to identify and troubleshoot issues in model performance and data quality.
- Effective communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.
- Ability to work independently as well as collaboratively in a team environment.
Benefits:
- Competitive salary and performance-based bonuses.
- Opportunities for professional growth and career advancement.
- Flexible work hours and the possibility of hybrid work.
- Access to the latest tools and technologies in AI and machine learning.
- A collaborative and innovative work environment with a team of industry experts.
About Us:
Infosys Consulting is a mid-size player with an entrepreneurial spirit that works with a market-leading brand for clients across all industries, unleashing the limitless potential of design combined with technology. As part of the global top-5 IT brand Infosys, we combine our strategic foresight with tech feasibility to transform ambition into action, outperforming the market and experiencing rapid growth. Infosys has been recognized by the Top Employers Institute as a Top Employer 2021, across Europe, Middle East, Asia Pacific and North America in recognition of its excellence in employment practices and due to our client innovations, our cultural diversity and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best!
Why Join Us?
For the right talent that want to be part of a diverse team, innovation-driven practice, and a high-performance culture, we offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions.
Machine Learning/ Generative AI Consultant employer: Infosys Consulting
Contact Detail:
Infosys Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/ Generative AI Consultant
✨Tip Number 1
Make sure to showcase your hands-on experience with machine learning and generative AI models in your discussions. Be prepared to discuss specific projects you've worked on, especially those involving GANs, VAEs, or transformers, as this will demonstrate your expertise.
✨Tip Number 2
Stay updated on the latest advancements in AI technologies. Being able to discuss recent trends or breakthroughs in generative models during interviews can set you apart and show your passion for the field.
✨Tip Number 3
Practice explaining complex technical concepts in simple terms. Since you'll need to communicate with non-technical stakeholders, being able to convey your ideas clearly will be a valuable asset in your interactions.
✨Tip Number 4
Network with professionals in the AI and machine learning community. Attend relevant meetups or webinars to connect with others in the field, which could lead to referrals or insights about the role at Infosys Consulting.
We think you need these skills to ace Machine Learning/ Generative AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and generative AI. Include specific projects that demonstrate your skills with models like GANs, VAEs, and transformers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's goals. Mention your ability to communicate complex concepts clearly, as this is crucial for the role.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as Python, R, or Julia, and mention any experience with ML frameworks like TensorFlow or PyTorch. This will help demonstrate your technical capabilities.
Highlight Problem-Solving Abilities: Provide examples of how you've identified and resolved issues in model performance or data quality. This will showcase your analytical skills and problem-solving mindset, which are essential for the role.
How to prepare for a job interview at Infosys Consulting
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning and generative AI models in detail. Highlight specific projects you've worked on, especially those involving GANs, VAEs, or reinforcement learning systems. This will demonstrate your hands-on knowledge and ability to apply theoretical concepts in practical scenarios.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves conveying complex technical concepts to non-technical audiences, practice explaining your work in simple terms. Use analogies or relatable examples to make your points clear. This skill is crucial for building rapport with clients and ensuring they understand the value of your solutions.
✨Stay Updated on Industry Trends
Research the latest advancements in AI and machine learning technologies before your interview. Being knowledgeable about current trends, such as new algorithms or tools, will show your passion for the field and your commitment to continuous learning, which is highly valued in this role.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills, particularly related to model performance and data quality. Prepare examples of challenges you've encountered in past projects and how you resolved them. This will highlight your analytical thinking and ability to troubleshoot effectively.
