Data Scientist (39863)

Join a dynamic team as a senior Data Scientist. You’ll architect and manage the entire model lifecycle—from data prep, design, training, and validation to deployment and monitoring. Collaborate with data scientists, engineers, and domain experts to build innovative AI solutions. Stay ahead by integrating the latest advances in machine learning. I'm seeking candidates with a Bachelor’s or Master’s in Computer Science or related fields, strong expertise in large-scale neural networks, deep and reinforcement learning, and hands-on experience in GenAI frameworks (LangChain, vector DBs). Proficiency in Python, ML libraries (TensorFlow, PyTorch), and cloud platforms (Azure preferred) is essential. Experience in MLOps and probabilistic graphical models is a plus.

🚀 Project
- developing and training transformer-based models for both text and images
- architecting and overseeing the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring
- collaborating with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions
- staying current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate

🎯 Skills
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques
- practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks)
- advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy)
- hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP)
- understanding of the whole ML lifecycle and experience with MLOps/DataOps
- experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs)