AI Architect

Experience

8+ Years.

Job Purpose

• Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.

Job Description / Duties & Responsibilities

• Work closely with internal BU’s and business partners (clients) to understand their business problems and translate them into data science problems.
• Design intelligent data science solutions that delivers incremental value the end stakeholders.
• Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models.
• Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks.
• Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.
• Work closely with application team to deliver AI/ML solutions as microservices.

Job Specification / Skills and Competencies

• Masters/Bachelor’s in Computer Science or Statistics or Economics.
• At least 4 years of experience working in Data Science field and is passionate about numbers, quantitative problems.
• Deep understanding of Machine Learning models and algorithms.
• Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same.
• Understanding of and experience in one or more of the following Machine Learning algorithms:-Regression, Time Series.
• Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc.
• NLP, Text Mining, LLM (GPTs).
• Deep Learning, Reinforcement learning algorithm.
• Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc.
• Understanding of and experience of building machine learning models using various packages in one or more of the programming languages–Python / R.
• Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts.
• Understanding of AWS/Azure Cloud architecture.
• Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda).
• Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc.).

Soft Skills Required

• Must be a good team player with good communication skills.
• Must have good presentation skills.
• Must be a pro-active problem solver and a leader by self.
• Manage & nurture a team of data scientists.
• Desire for numbers and patterns.

Any Additional Information/Specifics

• To adhere to the Information Security Management policies and procedures.