Epicareer Might not Working Properly
Learn More

Data & AI Technical Presales Consultant

Salary undisclosed

Apply on


Original
Simplified

We are seeking a highly skilled and experienced Data & AI Technical Presales Consultant to join our dynamic team. As a Technical Presales Consultant, you will play a pivotal role in driving business growth by understanding customer needs, crafting compelling technical solutions, and delivering impactful presentations.

Responsibilities:

Technical Expertise:

  • Develop deep technical expertise in data engineering, machine learning, and AI technologies.
  • Stay up-to-date with industry trends and emerging technologies.

Customer Engagement:

  • Engage with clients to understand their business challenges and requirements.
  • Conduct technical assessments and needs analysis.
  • Collaborate with sales teams to identify and qualify opportunities.

Solution Design:

  • Design and architect innovative data and AI solutions tailored to customer needs.
  • Develop proof-of-concepts and technical demonstrations to showcase the value of our solutions.
  • Collaborate with product teams to refine product offerings based on customer feedback.

Technical Presentations:

  • Deliver engaging and informative technical presentations to a variety of audiences, including technical and non-technical stakeholders.
  • Effectively communicate complex technical concepts in a clear and concise manner.

Proposal Development:

  • Develop comprehensive technical proposals, including solution architecture, cost estimates, and implementation timelines.
  • Collaborate with sales teams to ensure accurate and competitive proposals.

Post-Sales Support:

  • Provide technical support during the sales process, including answering technical questions and resolving customer issues.
  • Collaborate with the delivery team to ensure a smooth transition from presales to post-sales.

Qualifications:

  • Strong technical background in data engineering, machine learning, and AI.
  • Excellent communication and presentation skills.
  • Ability to understand complex business problems and translate them into technical solutions.
  • Experience with cloud platforms (AWS, Azure, GCP) and data engineering tools (e.g., Spark, Kafka, Airflow).
  • Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and AI techniques (e.g., NLP, computer vision).
  • Strong problem-solving and analytical skills.
  • Ability to work independently and as part of a team.

Preferred Qualifications:

  • Certifications in cloud platforms, machine learning, or data engineering.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • A strong understanding of industry standards and best practices.
  • If you are a passionate and technically proficient individual who thrives in a fast-paced environment, we encourage you to apply.