S&C Global Network - AI - BI Strategy - Consultant

Who are we looking for?

• Years of Experience:

• Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries.

• Education:

• A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field.

• Add eligibility:

• Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, and data infrastructure to find opportunities for AI integration and develop tailored AI strategy frameworks aligned with clients' goals.
• Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems.
• Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner.
• Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions.
• The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results.
• Candidates should have a strong understanding of Gen AI preferences, behaviors, and values.
• Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI
• Working experience with machine learning algorithms and statistical modeling techniques.
• Knowledge on MLOPs tools and services from strategic mindset will be a plus.
• Working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring.

• Desired experience.

• Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients.
• Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart.
• Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery.
• Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring.

• Tools & Techniques

• Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP
• Have worked hands on Programming languages such as Python, R, SQL or Scala.
• Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies
• Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc.
• Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc.,
• Knowledge on LLMs-Open AIGPT, Llama Index etc.
• Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc.
• Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense