Lead the design and implementation of AI & Analytics architecture and technical solutions for corporate clients.
Develop and deploy AI strategies that align with client objectives and industry best practices.
Lead the end-to-end cycle of implementing Business Intelligence (BI) solution development, including the preparation of data in semantic layer
Collaborate with cross-functional teams to identify and design AI & Analytics use cases that enhance operational efficiency and drive innovation.
Utilize pretrained AI models and transformer techniques to create robust AI solutions capable of various tasks, including text generation, summarization, and conceptual querying.
Conduct assessments of existing systems and recommend improvements to enhance deployment and integration with legacy systems.
Monitor the evolving landscape of generative AI, ensuring compliance with intellectual property, privacy, and copyright regulations.
Provide guidance on best practices for AI implementation, including model training, validation, deployment, and monitoring.
Engage with stakeholders to ensure successful implementation and adoption of AI solutions.
Technical Skills:
Proficiency in programming languages such as Python, R, or Java for AI model development.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with data analytics tools and platforms (e.g., SQL, Apache Spark).
Knowledge of AI architecture principles, including the use of pretrained models and transformers.
Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI solutions.
Expertise in using BI data visualization tools to present insights and findings effectively.
Familiarity with natural language processing (NLP) and generative AI technologies.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Minimum of 5-10 years of experience in AI and data consulting, with a focus on implementing AI and Analytics solutions.
Proven experience in designing and deploying AI and Analytics architecture and technical solutions.
In-depth knowledge of AI and Analytics technologies and their application in various industries.
Excellent analytical, problem-solving, and communication skills.