Ai Internship to Permanent

1. Support in Client Engagements
- Assist senior consultants in gathering and analysing client requirements to understand how AI can address specific business challenges.
- Help in preparing materials for client meetings and presentations, ensuring clear communication of AI project scopes and objectives.

2. Support in Data Engineering and Management
- Assist in data engineering tasks, including data collection, cleaning, preprocessing, and management, under the guidance of experienced professionals.

3. Assistance in AI Model Development and Deployment
- Support the design, training, and deployment of AI models, contributing to preliminary experiments and analysis under the supervision of senior team members.
- Participate in the evaluation and optimization of AI models, aiding in the identification of improvement areas to enhance performance.

4. Support with Automation and Process Optimization
- Contribute to automation projects, including those utilizing RPA (Robotic Process Automation) and generative AI, to learn about streamlining business processes and reducing manual tasks.
- Gain experience in coding and configuring automation tools and scripts, focusing on automating repetitive tasks and operational procedures.

5. Collaborative Project Work
- Engage in collaborative work with cross-functional teams, providing AI-related support and learning from the multidisciplinary approach to project execution.
- Participate in project meetings and discussions, offering assistance while gaining exposure to project management practices.

6. Innovation and Continuous Learning:

- Support innovation initiatives by assisting in research and the exploration of new AI technologies and methodologies.
- Stay informed about the latest AI trends and tools, contributing to the team's knowledge base.

This AI internship, centred around assisting senior consultants, offers a unique blend of learning opportunities and practical exposure to AI in the consulting realm. Interns will emerge from the program with a deep understanding of how AI technologies can be applied to drive business value, laying a solid foundation for a career in AI consulting.

Our focus technologies:

- Generative AI Automation
- Graph Deep Network Linkage Analytics with Graph Data Science
- Generative AI Analytics
- Generative AI Retrieval-Augmented Generation (RAG)
- Logical First Data Management

**Your Profile**

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in AI, data science and programming. Proficiency in SQL and Python programming is required. Exposure to any of the following would be advantageous:

- Graph Data Science: Neo4j, AWS Neptune
- GenAI/LLM
- Cloud Cognitive Services (Azure - Cognitive Services, AWS - Bedrock, Sagemaker, GCP - Vertex AI)
- Automation Tools: Intelligent Document Processing (IDP) (Laiye, UiPath, Abbyy) and Robotic Process Automation (RPA)
- Logical First Data Approach (Denodo)
- Object-oriented programming

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

**Why join us?**

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

We are an equal opportunity employer and welcome applicants from all backgrounds.

**Job Types**: Full-time, Contract, Internship
Contract length: 6 months

Pay: $1,030.00 per month

**Benefits**:

- Professional development

Schedule:

- Monday to Friday

**Experience**:

- Python: 1 year (preferred)
- SQL: 1 year (preferred)
- Neo4j: 1 year (preferred)
- RPA: 1 year (preferred)

Work Location: In person