- Build, train, and deploy machine learning models to address key business challenges.

- Apply advanced deep learning techniquesincluding NLP, computer vision, and recommendation systems using frameworks such as TensorFlow and PyTorch.

- Design and develop scalable, end-to-end AI pipelines, from data preprocessing to production deployment.

- Leverage generative AI and large language models (e.g., transformers, embedding) to deliver innovative solutions.

- Partner with product and engineering teams to integrate AI capabilities into business workflows seamlessly.

- Clearly communicate model results and insights to both technical and non-technical stakeholders.

- Proven experience in data science or applied machine learning

- Analytical-minded, proactive, and results-driven.

- Excellent communicator with the ability to simplify complex ideas for any audience.

- Quick to learn, creative in problem solving, and takes ownership.

- Takes ownership, is self-motivated, and thrives in a fast-paced environment.

Requirements :

- 2- 4 years of hands-on experience in data science or applied machine learning.

- Proficiency in Python and key machine learning libraries such as scikit-learn, XGBoost, and Hugging Face.

- Strong skills in data wrangling, feature engineering, and model evaluation.

- Experience with generative AI and large language models (e.g., transformers, embedding).

- Ability to build scalable end-to-end AI pipelines.

- Experience with cloud-based ML platforms (AWS, GCP, or Azure).

- Ability to stay current with emerging AI/ML trends and apply new techniques to solve real-world problems

Benefits :

- Competitive salary and performance-based bonuses.

- Comprehensive insurance plans.

- Collaborative and supportive work environment

- Chance to learn and grow with a talented team.

- A positive and fun work environment.