Overview
- Identify AI opportunities in collaboration with business stakeholders.
- Design & Build working Prototype/s for machine learning and AI applications.
- Develop and implement AI models and algorithms to optimize business processes and improve efficiency.
- Stay current with industry trends and best practices in AI technology and recommend innovative solutions to enhance business operations.
- Create business cases with clearly define objectives, work scope, and deliverables for AI projects.
- Assess and create technology use cases for AI Automation basis the business requirements.
- Partner with the Data team to define data requirements and ensure quality of Data for AI initiatives.
- Review and reinvent data to align as per the business scenarios.
- Monitor and analyse system performance, provide technical expertise and support to troubleshoot and resolve AI-related issues and performance bottlenecks.
- Analyse and interpret model outputs whilst continuing to refine models to achieve optimal results.
- Conduct thorough testing and validation of AI models to ensure accuracy and reliability.
- Document and communicate AI solutions and recommendations to technical and non-technical stakeholders clearly and effectively.
- Apply Subject matter expertise in Gen AI and Machine Language in Day to Day deliverables.
- Identify the design and development risk and work proactively to assess and mitigate.
- Collaborate with business analysts, and other stakeholders to understand requirements and deliver solutions.
- Work with DevOps and IT teams to ensure smooth deployment and operation of AI.
- Provide technical mentorship to junior developers and other team members.
- Work closely with security and compliance team to ensure that there is no security lapse in the design.
- Maintain Enterprise-wide governance to avoid compliance risks while ensuring the security of data and AI.
- Ensure to train the business data using generative AI with great security and responsibility to improve productivity and deliver competitive advantage.
- Overall, 8-10 years of experience with minimum 5 years’ experience in building AI models using machine learning algorithms and deep learning.
- Proficiency in programming languages such as Java, Python, C++, R and Data Science.
- Experience on PySpark and other big data like Hadoop, Cassandra, etc.
- Understanding of machine language algorithms like linear regression, KNN, Naïve Bayes and Vector search.
- Strong understanding of API security standards and practices (e.g., OAuth, JWT).
- Familiarity with DevOps practices and CI/CD pipelines.
- Knowledge of database systems, both SQL and NoSQL.
- Exposure to AI platform using Python on CUDA platform and Hugging face repo to train the organisation data.
- Experience with any cloud platforms (PaaS and SaaS).
- Familiarity with microservices architecture and containerization (e.g., Docker, Kubernetes).
- Experience with Agile/Scrum development methodologies.
- Strong interpersonal skills to engage with people at all levels of the organization and build strong relationships and trust with clients and internal stakeholders.
- Highly effective communication, collaboration and influencing skills.
- Strong mentoring skills with a focus on coaching and developing teams.
Through our two businesses MUFG Retirement Solutions and MUFG Corporate Markets, we partner with a diversified portfolio of global clients to provide robust, efficient and scalable services, purpose-built solutions and modern technology platforms that deliver world class outcomes and experiences.
A member of MUFG, a global financial group, we help manage regulatory complexity, improve data management and connect people with their assets, through exceptional user experience that leverages the expertise of our people combined with scalable technology, digital connectivity and data insights.
Our MUFG Retirement Solutions division combines its proprietary technology, process and people to deliver a comprehensive financial data solution to its superannuation clients. We support clients across all superannuation fund sectors including government, industry, retail and corporate.
By accompanying our core member and employer administration with a full range of value-added services, we offer the most comprehensive superannuation administration solution on the market. The scale, adaptability and ease of use of our proprietary systems, in conjunction with our integrated analytics offering, allow us to innovate and grow with the needs of our clients.
MUFG Pension & Market Services is building a dynamic, client focused, caring and inclusive culture that is built on the foundations of an entrepreneurial spirit, effective risk management, empathy and trust, and underpinned by its core values.
We are an inclusive employer whose people work collaboratively. We encourage, support and value the various talents and perspectives of our people and promote a flexible and blended work environment where our people can thrive and their wellbeing is supported. We know that diversity drives better client outcomes, continuous improvement, and growth. Be part of the MUFG Pension & Market Services journey and together we will achieve our full potential.
We treat all individuals fairly and equitably and do not discriminate on the basis of diverse characteristics including, but not limited to gender, gender identity, sexual orientation, age, ethnicity, cultural background, physical abilities/disabilities, religious or political belief, marital or family status or carers responsibilities.
Candidates must have the relevant work rights to be considered for an opportunity at MUFG Pension & Market Services. Successful applicants will be required to complete background screening prior to commencement of employment.
- 4 - 7 Yrs
- Pune
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India
- Bangalore, Karnataka, India