<ul> <li>Qualifications: </li><li>5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. </li><li>Strong background of ML/DL/LLM algorithms, model architectures, and training techniques. </li><li>Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages. </li><li>Proficiency with tools and LLMs. </li><li>Ability to work independently and collaboratively within a team. </li><li> <ul> <li>Preferred Skills: </li></ul> </li><li>Experience in GenAI/LLMs projects. </li><li>Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL). </li><li>Background in financial business-like banking, risk management. </li><li> <ul> <li>Education: </li></ul> </li><li>Bachelor's degree/University degree or equivalent experience in STEM </li></ul> <p>Good to have:</p> <ul> <li>Working experience with Gemini LLM </li><li>Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras </li><li>Hands-On knowledge on NLP </li><li>Understanding of model deployment and containerization (Docker). </li><li>Understanding of version control systems (Git). </li><li>Awareness of AI compliance, data privacy, and responsible AI principles </li></ul> <p>Salary Range: $90,000 to $115,000 per year</p>