Job Title:  Technology and Transformation - EAD - AI & Data -Senior Consultant - AI & ML

Job Summary:

We're looking for a highly motivated and experienced Data Scientist/Machine Learning Engineer to join our team and play a key role in shaping the future of our AI-powered solutions. In this role, you'll be at the forefront of developing and deploying intelligent chatbots and machine learning models that directly address critical business challenges. You'll leverage your analytical skills and technical expertise to extract actionable insights from data, build innovative solutions, and communicate your findings in a clear and impactful way

Responsibilities:

• Deploy and manage AI/ML applications on the Google Cloud Platform (GCP)
• Design, develop, and implement conversational AI solutions using various chatbot frameworks and platforms
• Design, develop, and optimize prompts for large language models (LLMs) to achieve desired outputs
• Develop and implement machine learning models using supervised, unsupervised, and reinforcement learning algorithms.
• Utilize Python with Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras to build and deploy machine learning solutions.
• Create visualizations using Matplotlib and Seaborn to communicate insights
• Write and optimize SQL queries to extract and manipulate data from various databases.
• Develop and maintain web applications and APIs using Python frameworks such as Django, Flask, or FastAPI.
• Build user interfaces using JavaScript frameworks such as React or Angular, along with CSS.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Communicate complex technical concepts and findings to non-technical stakeholders through presentations and reports.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong working knowledge of the Google Cloud Platform (GCP) and its AI/ML services
• Proven experience in chatbot creation and development using relevant frameworks
• Proven experience in developing and implementing machine learning models.
• Strong programming skills in Python, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras , Matplotlib and Seaborn.
• Proficiency in SQL querying and database management.
• Experience with front-end frameworks such as React or Angular and CSS.
• Experience with back-end frameworks such as Django, Flask, or FastAPI.
• Experience in prompt engineering for large language models (LLMs), including prompt design, optimization, and evaluation.
• Strong problem-solving skills and the ability to translate business requirements into technical solutions.
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical audiences.

Additional advantage :

• Experience with data visualization tool Power BI.