Job Summary:

In today's dynamic business landscape, organizations thrive on intelligent, data-driven decisions. Our team of AI & Cloud experts empowers clients to unlock enterprise value by designing, building, and implementing cutting-edge GenAI solutions. We specialize in transforming raw data into actionable insights, leveraging out-of-the-box large language models (LLMs) and advanced AI techniques within robust cloud ecosystems. We focus on creating innovative solutions like intelligent assistants, advanced analytics platforms, and automated decision engines that not only predict future scenarios but also prescribe the most effective actions. By continuously optimizing cloud infrastructure and delivering "as-a-service" offerings, we ensure our clients gain ongoing competitive advantages and enhance their operational efficiency. We partner closely with businesses to develop comprehensive organizational intelligence programs, enabling them to lead their industries with foresight and agility.

Essential Functions:

• Strategize and identify high-impact AI/ML and Generative AI use cases that directly address client business challenges across diverse sectors like healthcare, retail, finance, or manufacturing. Your ability to see the "so what" for the business is paramount.
• Design, develop, and implement end-to-end Generative AI solutions leveraging existing large language models (LLMs)and other pre-trained AI services. This includes building and deploying powerful applications like sophisticated chatbots, intelligent recommendation engines, or advanced content generation systems, utilizing the best-fit cloud AI platforms and open-source tooling.
• Provide expert guidance and leadership on responsible AI practices. You'll ensure ethical considerations, fairness, and transparency are baked into every solution from conception to deployment, navigating the complexities of real-world AI.
• Act as a trusted advisor to senior stakeholders, translating complex technical roadmaps into clear business value. You'll seamlessly integrate AI solutions into existing client workflows, driving adoption and demonstrable ROI.
• Lead discovery workshops and client presentations, shaping requirements and demonstrating the transformative potential of Generative AI.

Education:

• Bachelor's Degree or equivalent in a relevant technical or business discipline (e.g., Computer Science, Engineering, Mathematics, Business Analytics). We value demonstrated capability over strict academic pedigree.

Certifications:

• Relevant certifications in cloud AI/ML (e.g., AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer) are preferred but not mandatory. Real-world application and demonstrable expertise trump paper qualifications.

Experience:

• 8+ years of hands-on experience designing, developing, and implementing real-life Generative AI and advanced analytics solutions in production environments, with a strong focus on leveraging pre-trained models.
• Significant consulting experience where you've successfully advised clients, managed expectations, and delivered impactful solutions within a professional services context.

Special Skills & Knowledge:

• Expertise in leveraging and integrating existing Generative AI models (e.g., GPT, Claude, PaLM) for various enterprise applications, including prompt engineering and fine-tuning techniques.
• Mastery of machine learning frameworks(e.g., TensorFlow, PyTorch, scikit-learn) and hands-on experience with cloud-agnostic AI platforms and services.
• Proficiency in natural language processing (NLP), computer vision, or advanced predictive analytics techniques, and the ability to apply them to solve complex business problems.
• Exceptional ability to bridge the gap between technical complexity and business understanding, effectively communicating value propositions to both technical and non-technical audiences.
• A strong, proven understanding of AI ethics and responsible AI principles, with practical experience in ensuring fairness, transparency, and accountability in deployed models.
• Expertise in cloud-native data and analytics platforms (e.g., Azure Fabric, Azure Synapse Analytics, Google BigQuery, Databricks) and a solid understanding of data engineering principles, including robust data pipeline creation and data warehousing.
• Advanced programming skills in Python or Scala for complex data manipulation, model development, and integration.
• Outstanding problem-solving and troubleshooting abilities, with a track record of resolving intricate technical challenges under pressure.
• Superior communication and presentation skills, both written and oral, capable of engaging with clients at all levels and articulating complex ideas clearly and concisely.
• Extensive experience with model deployment, monitoring, and lifecycle management in production environments, ensuring ongoing performance and reliability.
• Proficiency with version control systems like Git and a solid understanding of collaborative development workflows.
• Familiarity with Agile methodologies and experience contributing effectively within Agile teams.
• Proven ability to perform thorough exploratory data analysis to uncover critical insights that drive model development and business strategy.
• Experience collaborating seamlessly with DevOps and MLOps teams to ensure smooth, automated, and scalable solution delivery.