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Manager, Business Analyst - AI/ML

Salary

₹28 - 35 LPA

Min Experience

9 years

Location

Chennai, IN

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The ML Engineer acts as the key member of the squad, within IDP Surveillance Hive of Risk and CFCC under Group Functions, supporting the squad members with designing, developing, and deploying new AI/ML solutions to business Want to be part of a team that focuses on what we can do instead of what's already been done? This is your opportunity. From Blockchain to AWS, deep learning and AI, you'll work with the tools and platforms that you need to be successful. You'll have the freedom to decide the different ways you want to grow – whether that's by gaining diverse skills on a new project or deepening your expertise on innovative tech. Join us and you'll find diverse paths, projects and people that inspire you to think outside-the-box and change the way people everywhere experience our products and services. Our Technology and Operations (T and O) team is the powerhouse for the Bank. We aim to go further, faster, to ensure we're agile and ready for tomorrow, today. Our diverse network enables us to innovate and build banking solutions that support communities to prosper. We're a place where talented people are encouraged to grow, learn, and thrive, to drive their own career journeys, to reach their full potential. Key Responsibilities: 1. Refinement Work with the product owners or business stakeholders to understand the key problem areas that requires automation via AI/ML solutions. Data collection, EDA, statistical analysis, predictive modelling A/B testing and reporting insights. Document the requirement in form of user stories. Walkthrough the refined user stories with business stakeholders and product owners to confirm the scope. Provides data driven insights for decision- making. 2. Model Development and Training Work with developers to Translate business problems into ML solutions. Selecting appropriate algorithms and frameworks Focus on selecting, training and evaluating ML models Documenting workflows, experiments, and decisions 3. Software Development and MLOps Build Prototype models and hands them off to engineers for deployment. Continuously improving models based on new data and feedback. 4. Training and Documentation Train business users on functionalities and how to use them Prepare and maintain training material, FAQ and other documents on what has been developed, including business processes.

About the company

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Skills

python
vector db
sql
nosql
tensorflow
pytorch
longchain
keras
scikit-learn