
Intelligent Systems Engineer
7 days ago
We are seeking a highly skilled Intelligent Systems Engineer to join our team in designing and developing cutting-edge AI-powered systems.
The successful candidate will be responsible for creating innovative solutions that leverage machine learning and deep learning techniques to drive business outcomes.
This is an exceptional opportunity for a motivated and talented individual to work on complex projects, collaborate with cross-functional teams, and contribute to the development of industry-leading AI solutions.
Qualifications- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field (Master's/Ph.D. preferred).
- At least 3 years of experience in building ML/AI solutions, including hands-on work with large language models (LLMs) or Generative AI in production.
- Strong proficiency in Python, with expertise in writing clean, modular, and tested code, as well as experience with async handling, dependency management, and testing practices.
- Familiarity with LLM fine-tuning methods, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF), is a plus.
- Proficient in ML/DL frameworks like scikit-learn, XGBoost, PyTorch, or TensorFlow for supervised, unsupervised, and time-series modeling.
- Experience with MLOps and observability tools, including MLflow, Kubeflow, LangSmith, or Langfuse, for managing lifecycles and monitoring models end-to-end.
- Fully remote work setup.
- Competitive salary.
- Inclusive work environment & Well-being Program.
- A clear induction program & a mentoring buddy to help you.
- Private health insurance allowance.
- Unlimited time off.
- Curious and inventive spirit; motivated to explore emerging techniques, experiment boldly, and translate ideas into working systems.
- Thrive in fast-moving, autonomous squads; action-oriented with a focus on continuous improvement.
- Excellent command of the English language (both verbal and written); clear communicator able to convey complex models into business value for non-technical stakeholders.
- Strong problem-solving and analytical thinking skills.
- Team player, self-motivated, and constantly seeking new knowledge.
- Growth mindset with strong alignment to EXUS values.
- Fulfilled military obligations (If applicable).
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