Distributed Cloud | Lead Data Scientist / AI Architect
Distributed Cloud | Lead Data Scientist / AI Architect
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Job Description
We are seeking a Lead Data Scientist to join our team bringing advanced technical expertise in Machine Learning Artificial Intelligence and Decision Support this role you will play a crucial part in driving technical excellence across projects serving as a trusted advisor to the Area Manager and providing support to the existing team lead. While your focus will not be on managing the team directly you will act as a technical guide mentoring junior team members and serving as the Tech Lead on select high-impact projects.
We will rely on you to
Design implement and optimize Machine Learning (ML) models Artificial Intelligence (AI) systems and Decision Support algorithms including supervised unsupervised reinforcement learning and deep learning techniques.
Experiment with and apply cutting-edge methodologies such as Large Language Models (LLMs) Generative AI and multi-agent systems to deliver innovative solutions.
Act as a Tech Lead for complex projects ensuring technical rigor and driving excellence in implementation.
Provide guidance and mentorship to junior Data Scientists and AI Engineers fostering their growth and development in collaboration with the current team lead.
Work closely with the Area Manager project leads and other stakeholders to align technical deliverables with strategic goals.
- Stay at the forefront of AI advancements proactively identifying opportunities to integrate new techniques and approaches into projects.
Qualifications :
Bachelors or Masters degree in Computer Science Data Science Mathematics or a related field. A Ph.D. is a plus.
Proven track record in developing and deploying ML/AI models in production environments.
Broad expertise in Machine Learning and Artificial Intelligence techniques including supervised learning (e.g. regression classification) unsupervised learning (e.g. clustering dimensionality reduction) reinforcement learning deep learning and ensemble methods.
Practical experience with advanced decision-support systems optimization techniques and real-time predictive modeling.
Familiarity with cutting-edge technologies including Generative AI Large Language Models and multi-agent systems while maintaining a strong foundation in classical ML/AI approaches.
Proficiency in Python or R and frameworks such as TensorFlow PyTorch or Scikit-learn.
Strong understanding of model evaluation feature engineering hyperparameter tuning and interpretability techniques.
Experience with probabilistic models graph-based algorithms and time-series forecasting is a plus.
Experience with cloud platforms (AWS GCP or Azure) data pipelines and containerization technologies (Docker Kubernetes).
We Particularly Value
Exceptional communication and interpersonal skills to collaborate effectively with the team lead support the Area Manager and mentor team members.
A well-rounded understanding of ML/AI with the ability to apply the right techniques for different challenges from foundational algorithms to cutting-edge innovations.
The ability to seamlessly adapt to different roles as neededwhether guiding team members supporting the Area Manager or leading technical efforts.
A strong curiosity for exploring emerging technologies and algorithms with a focus on delivering impactful solutions.
A team-oriented mindset that emphasizes mutual respect knowledge sharing and joint problem-solving.
Additional Information :
The Devoteam Group works for equal opportunities promoting its employees based on merit and actively fights against all forms of discrimination. We are convinced that diversity contributes to the creativity dynamism and excellence of our organization. All of our vacancies are open to people with disabilities.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
