IT Strategy Consultant (AI/ML Solutions)

IT Strategy Consultant (AI/ML Solutions)

6 Months contract . Extension

Location : Remote job

Job description:

Responsibilities:

• Ability to work on consulting engagements and diverse teams of experts and delivery associates.
• Work with clients to identify the business potential of Artificial Intelligence (AI) and establish AI strategies, define and prioritize AI use cases, establish AI governance, and collaborate with client stakeholders to understand technical and business constraints.
• Collaborate with clients to establish AI programs and processes for scaling delivery of AI solutions (e.g., MLOPs, ModelOps)
• Align AI strategies and use cases to required data assets, identify strategies for acquiring data assets (including the potential value of synthetic data), design data pipelines to support data science and AI projects.
• Apply various Machine Learning (ML) and analytics techniques to develop classification and prediction models and leverage foundation models to develop generative AI capabilities; integrate client, domain (e.g., finance, sales) and industry knowledge into the solution.
• Collaborate with cross-functional teams to identify business problems and design experiments to test hypotheses.
• Present findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
• Act with integrity, professionalism, and personal responsibility to uphold the firm s respectful and courteous work environment.

Qualifications:

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline.
• Three to six or more years of relevant project experience in successfully launching, planning, executing data science projects. Preferably in the context of a consulting engagement.
• Basic coding knowledge and experience in several languages for example: R, Python/ Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
• Experience with popular database programming languages including SQL, PL/SQL, others.
• Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
• Basic knowledge and experience in statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
• Experience with data visualization tools and techniques to effectively communicate insights and findings.
• Excellent problem-solving skills and ability to think critically to tackle complex business problems.
• Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.
• Proven track record of delivering high-quality results within deadlines.