Machine Learning Specialist
Descrizione dell'offerta
AI Engineer / Machine Learning Specialist
We are seeking a talented and motivated AI Engineer to join our team and drive the development and deployment of cutting-edge AI solutions. This role offers the opportunity to work with state-of-the-art large language models and multimodal AI technologies, solving complex business challenges through innovation and collaboration. If you have a passion for AI, deep expertise in machine learning, and a strong problem-solving mindset, we want to hear from you!
Key Responsibilities
- Design, develop, and deploy AI models to solve complex business challenges
- Fine-tune and optimize pre-trained language models (LLMs) for domain-specific use cases
- Build and maintain scalable data pipelines for training and inference workflows
- Implement model deployment strategies and monitor performance in production
- Work closely with cross-functional teams to translate business needs into AI-driven solutions
- Evaluate, test, and iterate models to improve accuracy and performance
- Stay updated on the latest research and trends in AI, ML, and NLP
Required Qualifications
- Bachelor’s degree in Computer Science or a related field
- 3+ years of experience in developing and deploying AI/ML models
- Strong Python programming skills; hands-on experience with PyTorch or TensorFlow
- Proficiency with transformer-based architectures and LLMs (e.g., LLaMA, Mistral, Falcon )
- Understanding of model optimization methods (quantization, pruning, distillation)
- Familiarity with MLOps , CI/CD workflows, and model serving techniques
- Excellent analytical and problem-solving skills with a high attention to detail
Preferred Qualifications
- Master’s degree in AI, Machine Learning, or a related field
- Experience with Vision-Language Models (VLMs) and multimodal learning
- Hands-on knowledge of embedding techniques , vector databases , and semantic search
- Familiarity with LLM orchestration frameworks such as LangChain and LlamaIndex
- Understanding of Retrieval-Augmented Generation (RAG) techniques
- Experience with Docker , Kubernetes , and containerized environments
- Knowledge of cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform)
- Background in industrial or enterprise AI applications
Apply now to join our innovative team and help shape the future of AI!