GN - Tech Strategy & Advisory - Artificial intelligence - Consultant @ Accenture

Qualifications:

• MBA Degree from Tier-1 College (Preferable)
• Bachelors Degree
• AI/ML/Cloud AI Certifications preferred
• Minimum of4-9years large scale consulting experience and managing teams in a consulting environment or at high tech companies

Experience:

We are looking for Advanced Analytics and AI Consultants to join our growing team having experience with Machine learning and NLP applications. Operating across all stages of the innovation spectrum, with a view to build the future.

• Experience in designing and building end-to-end AI Strategy & solutions using Cloud & Non-Cloud AI ML, NLP algo.
• Assessment: Works as part of multi-disciplinary teams and responsible for independently driving specific AI workstreams through collaboration with designers, other AI team members, platform & Data engineers, business subject matter experts and technology delivery teams to assess AI potential and develop use cases. Liaises effectively with global community and senior leadership to identify and drive value opportunities around AI, support investments in POCs, pilots and chargeable projects.
• Design: The Consultantsrole on these projects centers around the application of analytics, data science and advanced cognitive methods to derive insights from data and develop POCs and appropriate high-level solution designs.Strong expertise in designing AutoML, MLOps AI solutions using any of the Cloud services (AWS, GCP, Azure).
• Architecture:The nature of these projects change as ideas and concepts mature, ranging from research, proofs-of-concept and the art-of-the-possible to the delivery of real-world applications for our clients. Focus in this area is on the impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Expertise in designing Enterprise AI strategy, Responsible AI frameworks is preferred.

Strong experience handling multiple end-to-end AI Lifecycle projects from Data preparation, Modeling, Build, Train & Deploy.

• Product/ Framework/ Tools evaluation: Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations.Evaluate existing products and frameworks available and develop options for proposed solutions. Have an understanding of the framework/ tools to engage the client in meaningful discussions and steer towards the right recommendation.
• Modeling: Strong SME knowledge in Data Preparation, Feature engineering, Feature selection, Training datasets, Algorithmic selection, Optimizing & Production deployment.
• Work as a technical SME to teams and clienton advising right AI solutions.
• The Consultant should have practical industry expertise. The areas of Financial Services, Retail, Telecommunications, Life Sciences and Resources are of interest but experience in equivalent domains is also welcomed. Consultants should understand the key technology trends in their domain and the related business implications.

Key Competencies and Skills:

• Strong desire to work in technology-driven business transformation
• Strong knowledge of technology trends across IT and digital and how they can be applied to companies to address real world problems and opportunities.
• Exceptional interpersonal and presentation skills - ability to convey technology and business value propositions to senior stakeholders
• Team oriented and collaborative working style, both with clients and those within the organization.
• Capacity to develop high impact thought leadership that articulates a forward thinking view of the market.
• Ability to develop and maintain strong internal and client relationships
• Proven track record in working creatively and analytically in a problem-solving environment
• Proven success in contributing to a team-oriented environment with effective consulting skills
• Proven track record to quickly understand the key value drivers of a business, how they impact the scope and approach of the engagement
• Flexibility to accommodate client travel requirements

Technical Skills

• Good exposure to AI/NLP/ML algorithms and building models/chatbots/solutions.
• Expert in developing AI solutions using Cloud AI services (AWS, GCP, Azure).
• Strong understanding of entire ML project lifecycle from business issue identification, data audit to model maintenance in production
• Experience in conducting client workshops and AI use-case development & prioritization
• Strong knowledge on AI frameworks & algorithms
• Strong & relevant experience in end-to-end AI lifecycle from Data capture, Data preparation, Model planning, Model selection, Model build, train & test & Model Deployment
• Expert in designing AI pipelines, Feature engg, Feature selection, Labeling, Training & Optimizing models
• Good understanding on Scaling/Industrializing AI, Enterprise AI, Lean AI concepts, frameworks & tools
• Familiarity with some distributed storage frameworks and architectures
• Machine Learning Language: Python/Scala/R/SAS knowledge
• Virtual Agents NLU, NLG, Text to speech
• ML Libraries SciKit learn, Stanford, NLTK, Numpy, PyTorchetc
• Familiarity with cloud AI and Data offerings
• Database: HDFS, NoSQL, In-memory (Spark), Neo4j
• Experience with any of the platforms like IBM Watson, Microsoft ML, Google Cloud AI or AWS ML