S&c Global Network - Ai - Software & Platform - Gen Ai - Consultant

Accenture; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture is looking for a 9 - Ind Func AI Decision Science Consultant, located in India, to join their Data AI practice. The role focuses on developing and testing AI algorithms tailored to complex business problems, managing databases, and driving data analytics for stakeholders.

Candidates must have a Bachelor's or Master’s degree in a relevant field and at least 4 years of experience in AI projects, with expertise in Generative AI frameworks like Azure Open AI and Vertex AI. Proficiency in Python, SQL, and strong analytical skills are essential.

Qualifications

• 4+ years of experience in working on AI projects and delivering successful outcomes.
• Hands-on exposure to Generative AI frameworks and AI technologies.
• Proficiency in statistical packages such as R, Python, Java, SQL, Spark.

Responsibilities

• Develop and test AI algorithms for complex business problems.
• Manage large databases and conduct exploratory data analytics.
• Work collaboratively with internal teams and external consultants.
• Develop and manage data pipelines for enhanced efficiency.

Skills

Generative AI

Python

SQL

Education

Bachelor's or master's degree in computer science, engineering, data science, or a related field

Tools

R

Java

Spark

Azure Open AI

Vertex AI

Job description

Job Description

Job Title: 9 - Ind Func AI Decision Science Consultant

Management Level: 9- Consultant

Location: Bangalore/ Hyderabad

Must have skills: Gen AI

Good to have skills: Python, SQL

Experience: 4+ years

Educational Qualification: Btech/ BE

Job Summary

• As part of our Data AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
• Accenture will continually invest in your learning and growth. You''ll work with experts in SaaS PaaS and Accenture will support you in growing your own tech stack and certifications.
• In Data AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

Roles Responsibilities

• Development and testing of AI algorithms and techniques, custom-tailored to effectively address and solve specific, complex business problems.
• Manage large databases proficiently, conducting exploratory data analytics to derive valuable insights for stakeholders.
• Track down and thoroughly investigate previous information related to a problem, asking probing questions to identify root causes.
• Employ a systematic approach to problem-solving, exploring known avenues and asking insightful questions to unravel the core issues.
• Work collaboratively with both internal teams and external consultants/managers to achieve project objectives.
• Develop and manage data pipelines to streamline the flow of information for enhanced efficiency.
• Demonstrate adaptability and flexibility in responding to changing project requirements.
• Proactively seek and embrace continuous learning opportunities to stay updated with the industry trends and advancement.

Qualification

Professional Technical Skills:

• Bachelors or masters degree in computer science, engineering, data science, or a related field.
• Experience working for large Software or Platform organizations.
• Proven experience (4+ years) in working on AI projects and delivering successful outcomes.
• Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc.
• Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
• Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL
• Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc.
• Knowledge in training large language models and fine-tuning for specific applications or domains.

Additional Information

• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
• Excellent analytical and problem-solving skills, with a data-driven mindset.