**About us**
**Job Overview**
**Duties and Responsibilities**
**AI Strategy & Roadmap**
- Develop and drive the company's AI vision and roadmap, ensuring alignment with business objectives and market needs.
- Identify and evaluate potential AI use cases, including LLM-based solutions, across various industries and functions.
**Technical Leadership & Solutions Architecture**
- Lead the design, development, and deployment of AI solutions, including machine learning models, large language models, automation systems, and predictive analytics.
- Collaborate with cross-functional teams (e.g., data engineers, software developers, product managers) to ensure seamless integration and delivery of AI projects.
- Provide guidance on best practices for model tuning, prompt engineering, and LLM-based system architectures.
**Client Engagement & Value Proposition**
- Identify client challenges and opportunities where AI can provide a competitive advantage.
- Translate complex technical concepts into easy-to-understand solutions and proposals that address client needs.
- Demonstrate how existing AI technologies (such as GPT models, computer vision, NLP, etc.)
can be leveraged to generate additional value.
**Project Management & Execution**
- Oversee project timelines, budgets, and resource allocation for AI initiatives, ensuring projects are delivered on time and within scope.
- Establish best practices for project documentation, model validation, and product performance tracking.
**Continuous Innovation & Thought Leadership**
- Stay informed about the latest AI research, industry trends, and emerging technologies.
- Identify new tools and platforms to enhance internal processes and improve client outcomes.
**Cross-Functional Collaboration**
- Work closely with sales, marketing, and business development teams to position AI solutions and secure new opportunities.
- Collaborate with IT and data teams to ensure robust data pipelines, model deployment, and ongoing maintenance.
**Skills and Qualifications**
- Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
- Proven experience (3+ years) in AI or data science roles, with a track record of successful AI solution deployments.
- Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
and associated programming languages (Python, R, etc.).
- Hands-on experience fine-tune and deploying large language models (e.g., GPT, BERT)
- Expertise in prompt engineering and fine-tuning techniques.
- Expertise in AI/ML techniques (supervised/unsupervised learning, natural language processing, computer vision, etc.).
**What we offer**
- Joining a vibrant multicultural team spread across the Americas, Asia, Africa and Europe
- Professional development and growth opportunities in the localization industry
- Training in new tools, technologies, and processes
- Energetic, multicultural, and empathetic working environment