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AI Pre-Sales Tech

Remote: 
Hybrid
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
Chicago (US)

Offer summary

Qualifications:

Degree in mathematics, statistics or computer science, Proven experience as a Machine Learning Engineer or Architect, Strong understanding of modern technologies for AI solutions, Experience with IA tools like KubeFlow and AWS SageMaker, Familiarity with frameworks like TensorFlow and PyTorch.

Key responsabilities:

  • Build and maintain relationships with clients
  • Develop advocates for AI among stakeholders
  • Advise clients on effective AI architecture solutions
  • Collaborate with sales to provide technical expertise
  • Drive AI portfolio development through presentations
SDG Group logo
SDG Group Large https://www.sdggroup.com/
1001 - 5000 Employees
See more SDG Group offers

Job description

AI Tech Pre-sales Opportunity at SDG


💥 Transform the Future with SDG: Global Leaders in Data & AI 💥

SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including industry specialists, AI architects, and governance professionals. With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.

Join SDG, where you can be part of something exceptional and truly experience what it means to be an expert in Artificial Intelligence! If you're looking to be part of a team that’s 100% specialized in Data, Analytics, and AI, we’re eager to meet you.


What You’ll Be Doing

Build and Maintain Relationships: Establish trust with clients, gaining their confidence in our solutions. Work closely with them to understand their business needs and translate those into customized AI architecture solutions.

Develop AI Advocates: Cultivate deep relationships with senior technical stakeholders, empowering them to become strong advocates for AI.

Advise on AI Architectures: Leverage your expertise to guide clients on the most effective AI solutions tailored to their specific challenges.

Collaborate with Sales: Provide technical expertise throughout the pre-sales process, helping to secure new business opportunities.

Stay Ahead of Trends: Keep up with industry trends and emerging AI technologies to strategically position our offerings in the market.

Be an AI Evangelist: Promote AI adoption by guiding clients and partners, contributing to publications, and building strong technical relationships.

AI Innovative Roadmap Assessment: Design an innovation strategy aligned with business goals, incorporating partnership exploration, prototyping, governance, and immediate implementation of advanced AI solutions.

AI Innovative Partnership Adoption: Leverage SDG's strategic partnerships to integrate advanced technologies such as platforms, models, and infrastructures, ensuring seamless adoption for business impact.

Drive AI Portfolio Development: Communicate the value and capabilities of our AI solutions through presentations and hands-on demonstrations.


What We Look For 👇

Education: Degree in mathematics, statistics, computer science, or a similar technical field, ideally with a focus on software engineering.

Professional Experience: Proven experience as a Machine Learning Engineer or Architect.

Technical Knowledge: Strong understanding of modern technologies foundational to machine learning and AI solutions in the cloud.

Data Science Expertise: Theoretical and practical knowledge in data science fundamentals, solution lifecycles, and IAOps methodology.

Tools Familiarity: Experience with IA tools such as IAFlow, KubeFlow, AWS SageMaker, and Azure IA Studio.

Presentation Skills: Ability to confidently present to a range of stakeholders, including external clients, executives, IT leaders, and developers.


Recommended Requirements 👇


Consulting Experience: Previous consulting work in Data & Analytics or AI projects is highly valued.

Data Architecture Proficiency: Strong grasp of data architecture and information modeling strategies.

Generative AI Knowledge: Experience with generative AI models, including Large Language Models (LLMs), neural networks, and recommendation systems.

Technical Expertise: Familiarity with frameworks like TensorFlow, PyTorch, Hugging Face, and OpenAI’s generative AI tools.

Certifications: Credentials in cloud platforms or AI architecture are a plus.


About SDG Group and the Role 🚀

SDG Group is a global consulting firm, fully dedicated to Data, Analytics, and AI solutions. We offer end-to-end support across the entire data value chain, providing tailored career paths for those who wish to excel in the world of data. You’ll have the chance to work on impactful projects with industry leaders, helping to drive real change.

We're looking for problem solvers, innovators, and team players who are ready to join our mission to further expand our reach. You'll have access to a diverse array of cutting-edge technologies, applying them to solve complex challenges across various industries and business contexts.


At SDG, your growth is our priority. We’ll create customized career plans that enable you to advance independently and in collaboration with your peers. You’ll find opportunities for continuous learning and development, as well as the chance to face new challenges, maximizing the potential of artificial intelligence for both SDG Group and our clients.

If you value inclusivity and want to be part of a culture where you can truly be yourself, we want you on our team.

Join us and become part of the next big thing in AI!



Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Consulting
  • Technical Acumen
  • Relationship Building

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