Business Development Executive

Role Description

This is a full-time on-site role for the Head of Artificial Intelligence at KGiSL Educational Institutions, located in Coimbatore. The Head of Artificial Intelligence will be responsible for overseeing and developing AI strategies and initiatives. Daily tasks include leading AI research projects, developing innovative AI solutions, managing a team of AI professionals, and collaborating with various departments to integrate AI methodologies into different functions. The role also involves staying current with industry advancements and ensuring compliance with ethical and regulatory standards.

Qualifications

• Strong background in Computer Science and Data Science
• Extensive experience in Pattern Recognition, Natural Language Processing (NLP), and Computer Vision
• Proven leadership and team management skills
• Excellent problem-solving and analytical skills
• Advanced degree Master's in a related field
• Strong communication and collaboration skills
• Experience in the educational sector is a plus
• 8 Years of experience in Artificial Intelligence

• Bachelor's degree in Engineering field
• 10+ years relevant work experience, including technical program management or equivalent management experience in a mid- to large-sized Financial Technology firms or Payment’s technology divisions running complex software development programs with multiple stakeholders for at least 5 years.
• 3+ years of experience as a People Manager, managing a team of 40 to 50 members, inclusive of building and growing the team.
• Broad experience, across functional and technical areas, designing, developing, deploying, and maintaining large scale projects in BFSI Domain.
• Looking for professionals who have started their career into Development and Coding; have grown into Tech Lead roles followed by further transition into Project Management roles under BFSI domain.
• Should have entirely owned the product development from start to end, i.e., inception to implementation. Someone who has worked on end-to-end implementation/development will be apt for this role.
• Should be an expert in stake holder management, negotiating the requirement with the product team and understanding the timeline, team size, and the budget of the project.
• Must also analyze requirements Vs the timeline.
• Should be able to help interact with the architects meaningfully and gain knowledge of what infrastructure, the technology, APIs to use, front-end dependencies, solutions, and integration across the organization, the candidate should understand the business requirement and how to implement it technically. Accordingly, they will be able to plan and deliver.
• Working expertise in Agile, Jira, and Cloud is mandatory. Agile Safe is essential.
• Exposure to running agile ceremonies, change or release management. ServiceNow and similar change management tools are highly considerable.
• Working experience with microservices, API servers, Mobile and Web Application Development is a must.
• Prior experience with CI/CD software development process

Business knowledge

• The person must have knowledge in at least one domain, i.e., Credit Cards, Lending, Investment, and Insurance.
• Such domain knowledge and experience should be from the recent one and not from the earlier stages of the career.

JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

• Maintain UNIX/Linux Operating System
• Create and maintain environment for running batch jobs associated with daily batch cycle and batch reporting subsystem
• Work with LAN/Network personnel to ensure compatibility with LAN applications and peripheral hardware to provide end users with reliable and stable working environment
• Support and maintain other vendor database software installed on the LAN servers
• Perform User Access Management.
• Experience supporting day-today administration functions including user account management and script creation
• Apply Patches and Upgrades as necessary. Perform tasks for Backup and Recovery Management including High Availability
• Install and configure storage arrays and allocate SAN and NAS storage to different OS platforms and/or administer ZFS storage pools, file system, snapshots, and clones.
• Experience in Linux hypervisors KVM, XEN.
• Good knowledge on open stack administration and service operations.
• Good experience on veritas net backup software.
• Strong experience in public clouds AWS, AZURE, GCP.
• Solid knowledge of protocols such as DNS, HTTP, LDAP, SMTP and SNM
• Good understanding on AWS outposts hybrid environment.
• Good experience in the windows server and OS side.
• Experience in Monitoring platforms like Zabbix, ELK, Grafana.
• Troubleshoot Hardware Issues, Installation, and testing of computer peripherals
• Perform/Implement Security Monitoring and audit to identify any possible security intrusions or breaches.
• Collaborate with other teams and team members to develop automation strategies and deployment processes

Qualifications:

1. Degree in Computer Science, Computer Engineer, or other related courses
2. Minimum of 10 years’ experience
3. In-depth knowledge of Linux: RedHat, CentOS, Debian, etc.
4. In-depth knowledge in Linux virtualization
5. good knowledge of UNIX and LINUX Operating systems, file systems, storage environments, and networking protocols
6. Knowledgeable in Unix, Linux, Unix, Linux shell scripting. Practical scripting skills in Shell, PERL, Batch, Python
7. good DBA skills MySQL, MariaDB, PostgreSQL, Timescale, MongoDB
8. Basic Messaging and Collaboration concepts and tools, Server Virtualization
9. Practical understanding of Networking - routing, subnets, UDP, TCP, IP, and VLANs
10. Backup and Storage Management (Netback up mandatory).
11. Familiar and can identify or interpret crash dump files and core dump files and monitor System Logs

Desired Candidate Profile

• 5+ years of experience in a Data Engineer role
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases such as Cassandra.
• Experience with AWS cloud services: EC2, EMR, Athena
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
• Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.