As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc .
Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks
Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods
Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class.
Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations
Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations
IT Skills & Experience:
Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team.
Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning
Knowledge of MLOps process for efficient management of the AI/ML projects.
Must have lead project execution with other data scientists/ engineers for large and complex data sets
Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests.
Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc
Strong knowledge of deep learning with special focus on CNN / R-CNN / LSTM / Encoder / Transformer architecture
Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50.
Demonstrated capability using RNNS for text, speech data, generative models
Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models
Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc.
Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data
People Skills:
Professional and open communication to all internal and external interfaces.
Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture
Strong analytical skills.
Industry Specific Experience:
10 -18 Years of experience of AI/ML project execution and AI/ML research