Data Scientist

Data Scientist We are on the lookout for a specialist in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP), Generative AI and other advanced AI technologies. Two key requirements for the role:Coding Capability General DS foundations, best to have LLM/GenAI/Agent application building experience• Extensive experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally. Expert in at least one of the following fields:Generative AIMachine Learning Deep Learning Speech Recognition Multimodal LLMsReinforcement Learning Natural Language Processing Optimization Probabilistic Inference Information Retrieval Recommendation Systems Bayesian Inference Advanced time series forecasting• Hands-on Experience with most of the following open-source solutions:Orchestrate: Airflow, Kubeflow Pipelines, ML Run Container: Docker, Kubernetes, Mesos + Marathon Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow Observability: Prometheus, Grafana, Elasticsearch• Development:Programming Language: Python, Java, Scala, JuliaIDE: Notebooks, PyCharm, VS Studio Machine Learning: Tensor Flow, Keras, Scikit Learn, H20.ai, XGBoost, MXNet Feature Store: Hopsworks, Feast, or other purposed built Feature Store Model Format: ONNX, PMML• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment. • Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams. • Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results. Hands-on Experience with GCP and/or AWS is a plus. Roles & Responsibilities:Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale. Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions. Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale Drive both high-level and detailed technical designs and conduct design reviews as needed Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration Provide technical mentorship to team members at junior levels Actively participate in business and technical discussions and forums