- Consulting & Client Leadership: Act as a trusted advisor to clients by understanding their business challenges, guiding them on AI solutions, and leading them through the decision-making and implementation process.
- Prompt Engineering: Craft, optimize, and iterate on prompts for large language models and other generative AI tools to maximize accuracy and relevance in outputs.
- Model Development & Deployment: Design, build, and train Generative AI models, such as text generation, image synthesis, and language models.
- AI System Integration: Work closely with software developers, data scientists, and product managers to integrate generative models into existing platforms and workflows.
- Client Communication: Translate complex technical concepts into clear, client-friendly language to ensure alignment between client goals and the implemented solutions.
- Fine-tuning Pretrained Models: Adapt existing generative models to meet specific business use cases and client requirements.
- Research & Prototyping: Prototype novel approaches using advanced prompt engineering and other AI techniques to solve industry-specific problems.
- Scalability & Performance Optimization: Optimize models and algorithms for production environments, ensuring they meet client performance and scalability requirements.
- Consulting Mindset: Proven ability to engage with clients, understand their needs, and recommend appropriate AI-driven solutions. Experience in leading client interactions and projects is a must.
- Expertise in prompt engineering, understanding how to structure and refine prompts for various generative models (e.g., GPT, DALL·E).
- Proven experience with Generative AI models such as GPT, DALL·E, MidJourney, Stable Diffusion, or other transformer-based architectures.
- Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Hands-on experience in natural language processing (NLP), computer vision, or multimodal AI systems.
- Experience in handling large datasets, data augmentation, and pre-processing techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment and scalable architecture.
- Client Leadership: Ability to lead customers through AI adoption, providing clear insights and strategic direction to support their goals.
- Excellent Communication Skills: Able to explain complex AI concepts in simple terms, both to technical and non-technical audiences.
- Strong problem-solving skills with a creative and innovative mindset.
- A passion for AI and staying ahead of new developments in the space.
Preferred Skills:
- Master’s degree or PhD in Computer Science, Machine Learning, Data Science, or related fields.
- Experience with MLOps, model versioning, and deployment pipelines.
- Familiarity with AI ethics, bias detection, and fairness in generative models.
- Strong problem-solving skills with a creative and innovative mindset.
- Experience in managing client expectations and delivering AI-driven business value.
- We thrive to reach out to tomorrow.
- We are a world class team who work together across cultures and disciplines.
- Transparency and challenging projects that will let you grow and learn.
- We offer to you trust, sensibility and welfare, because you are important to us.