Senior AI Engineer/Data Scientist at Complexio enhancing business processes using AI technologies. Work involves cloud-native engineering, machine learning, and collaborating on complex workflows with diverse teams.
Responsibilities
Work at the intersection of cloud-native software engineering, machine learning, and generative AI.
Focus on enhancing business processes through the use of artificial intelligence and advanced technologies.
Enable intelligent data handling and support automated decision-making.
Collaborate with teams to map human-computer interactions and autonomously execute complex workflows at scale.
Extract actionable insights from large datasets and contribute to the enhancement of AI models.
Requirements
6+ years of experience in software engineering and/or Data Scientist/AI Specialist roles.
Proficiency in Python (knowledge of vanilla JavaScript or Java is a plus).
Strong experience with relational databases (PostgreSQL etc.) and key-value stores (Redis).
Deep knowledge of cloud platforms (AWS, Azure, or GCP), including services for compute, storage, and AI workloads.
Familiarity with event-driven architectures, RESTful APIs, and asynchronous processing.
Experience with containerization (Docker/Podman) and orchestration (Kubernetes).
Good foundation in machine learning, NLP, and deep learning, including experience with Transformers (Hugging Face, spaCy).
Experience with LLMs, fine-tuning (LoRA/QLoRA), and prompt engineering techniques.
Experience in working with open-source foundation models (LLaMA, Mistral, etc.).
Ability to extract actionable insights from large datasets using statistical methods and visualization.
Experience with CI/CD tools (e.g., GitHub Actions) and software delivery best practices.
Strong problem-solving skills and the ability to navigate complex, ambiguous environments.
English proficiency at B2+/C1 level.
Benefits
Join a pioneering joint venture at the intersection of AI and industry transformation.
Work with a diverse and collaborative team of experts from various disciplines.
Opportunity for professional growth and continuous learning in a dynamic field.
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