AI Solutions Specialist

Job summary As an AI Solutions Specialist, you will be instrumental in harnessing artificial intelligence to drive business innovation, efficiency, and growth. You will design, develop, and deploy AI models and solutions that perform data analysis, empower strategic decision-making, automate business processes, and optimize performance across the organization. This role requires a blend of deep technical expertise and strong business acumen to translate complex problems into impactful AI solutions.

Responsibilities

Analysis and insight generation

Analyze complex datasets using AI and machine learning techniques to uncover trends, patterns, and actionable insights that align with business objectives.

Create and present advanced data visualizations and dashboards to effectively communicate analytical findings to both technical and non-technical stakeholders.

Develop custom data models and algorithms to perform predictive modeling that optimizes business outcomes such as revenue generation or customer experiences.

Decision support

Develop AI-driven decision support systems that enable leaders to make better-informed strategic choices.

Build simulations and forecasting models that analyze different scenarios and predict their potential outcomes before strategic decisions are made.

Provide technical guidance to business units on the capabilities and limitations of AI for addressing their operational challenges.

Automation

Design and implement end-to-end automation workflows that utilize generative AI and other models to streamline and reduce manual tasks.

Build and maintain robust data and AI pipelines for information extraction and retrieval-augmented generation (RAG).

Integrate AI capabilities into existing business applications and processes to enhance functionality and user interaction.

Optimization

Optimize and fine-tune existing AI models to enhance their accuracy, efficiency, and overall performance.

Engineer cost-optimization agents and other AI solutions that maximize resource allocation in multi-cloud environments.

Conduct continuous monitoring and evaluation of deployed AI systems to ensure sustained performance and identify opportunities for further improvement.

Qualifications

Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.

Experience: Proven experience designing, developing, and deploying AI and machine learning models in a business or production environment.

Technical skills:

o Proficiency in programming languages like Python and SQL.

o Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

o High level of proficiency in Prompt Engineering

o Familiar with the major generative AI Large Language Models in the markettoday (ChatGPT, Gemini, Anthropic, etc.)

o Familiarity with cloud platforms like AWS, Azure, or Google Cloud.

o Knowledge of various AI techniques, including deep learning, NLP, and computer vision.

o Experience with data visualization tools (e.g., Tableau, Power BI) and version control systems (Git).

Problem-solving skills: Excellent analytical and critical thinking abilities, with a data-driven mindset and a knack for creative solutions.

Communication: Strong verbal and written communication skills to articulate complex technical concepts to diverse audiences.