11+ Finance Jobs in Coimbatore | Finance Job openings in Coimbatore

Conduct offline training sessions on JAVA topics.

Prepare and share training materials, assignments, and case studies.

Guide students through hands-on activities and real-world marketing projects.

Assess student performance and provide constructive feedback.

Ensure engaging, interactive, and practical classroom sessions.

Role: Senior AI Engineer

Work Location: TechGenzi Coimbatore Office (ODC for Tiramai.ai)

Employment Type: Full-time

Experience: 2–5 years (Full-stack development with AI exposure)

About the Role & Work Location.

The selected candidate will be employed by Tiramai.ai and will work exclusively on Tiramai.ai projects. The role will be based out of TechGenzi’s Coimbatore office, which functions as an Offshore Development Center (ODC) supporting Tiramai.ai’s product and engineering initiatives.

Primary Focus

As an AI Engineer at our enterprise SaaS and AI-native organization, you will play a pivotal role in building secure, scalable, and intelligent digital solutions. This role combines full-stack development expertise with applied AI skills to create next-generation platforms that empower enterprises to modernize and act smarter with AI. You will work on AI-driven features, APIs, and cloud-native applications that are production-ready, compliance-conscious, and aligned with our mission of delivering responsible AI innovation.

Key Responsibilities

• Design, develop, and maintain full-stack applications using Python (backend) and React/Angular (frontend).
• Build and integrate AI-driven modules, leveraging GenAI, ML models, and AI-native tools into enterprise-grade SaaS products.
• Develop scalable REST APIs and microservices with security, compliance, and performance in mind.
• Collaborate with architects, product managers, and cross-functional teams to translate requirements into production-ready features.
• Ensure adherence to secure coding standards, data privacy regulations, and human-in-the-loop AI principles.
• Participate in code reviews, system design discussions, and continuous integration/continuous deployment (CI/CD) practices.
• Contribute to reusable libraries, frameworks, and best practices to accelerate AI platform development.

Skills Required

• Strong proficiency in Python for backend development.
• Frontend expertise in React.js or Angular with 2+ years of experience.
• Hands-on experience in full SDLC development (design, build, test, deploy, maintain).
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or GenAI tools (LangChain, vector DBs, OpenAI APIs).
• Knowledge of cloud-native development (AWS/Azure/GCP), Docker, Kubernetes, and CI/CD pipelines.
• Strong understanding of REST APIs, microservices, and enterprise-grade security standards.
• Ability to work collaboratively in fast-paced, cross-functional teams with strong problem-solving and analytical skills.
• Exposure to responsible AI principles (explainability, bias mitigation, compliance) is a plus.

Growth Path

• AI Engineer (24 years) focus on full-stack + AI integration, delivering production-ready features.
• Senior AI Engineer (4–6 years) lead modules, mentor juniors, and drive AI feature development at scale.
• Lead AI Engineer (6–8 years) own solution architecture for AI features, ensure security/compliance, collaborate closely with product/tech leaders.
• AI Architect / Engineering Manager (8+ years) shape AI platform strategy, guide large-scale deployments, and influence product/technology roadmap.

We’re seeking a detail-oriented Data Analyst with proven experience in corporate settings to transform raw data into actionable insights. You’ll collaborate across departments to support strategic decision-making, optimize operations, and enhance business performance through data-driven analysis.

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

Company Description

Established in the year 2000, KGiSL Educational Institutions is the brainchild of Dr. Ashok Bakthavathsalam, founder and managing director of KG Information Systems Private Limited (KGISL).

Branded as the pioneers in industry-embedded education in the region, KG Group of Institutions at Saravanampatti boasts of being the only campus that fosters the perfect integration of institute – industry infrastructure in an environment of perfecting learning.

Role Description

This is a full-time on-site HR Internship role located in Coimbatore. The intern will assist in day-to-day HR operations, support the development and implementation of HR strategies and policies, and work on employee engagement initiatives. Tasks may include updating employee records, coordinating recruitment activities, organizing training sessions, and contributing to personnel management processes.

Qualifications

• Knowledge and understanding of Human Resources (HR) and HR Management
• Familiarity with HR Policies and Employee Benefits
• Skills in Personnel Management
• Strong organizational and communication abilities
• Ability to thrive in an on-site collaborative environment
• Master's program in HR mandatory

Candidates in Coimbatore are preferred

Only female Candidates are preferred

Machine Assembly and Material Checking , followup the Production planning Details

• Process Optimization: Analyze production processes to identify areas for improvement. Implement process enhancements to increase efficiency, reduce waste, and improve quality.
• Production Planning: Assist in planning and scheduling production activities to meet demand forecasts and delivery deadlines.
• Troubleshooting: Diagnose production issues, equipment malfunctions, and workflow disruptions. Propose and implement solutions to minimize downtime and maintain continuous production.
• Quality Assurance: Ensure all products meet quality standards through regular inspections, testing, and compliance with industry regulations.
• Collaboration: Work closely with product design and development teams to optimize manufacturing processes and incorporate feedback from the production floor.
• Documentation: Maintain accurate records of production processes, equipment maintenance, and quality control measures.
• Training: Provide training and support to production staff regarding equipment operations, safety protocols, and best practices in production techniques.
• Cost Management: Monitor production costs and identify opportunities for cost savings without compromising quality.
• Safety Compliance: Ensure adherence to safety regulations and protocols to create a safe working environment for all employees.

TechUnity is looking for a highly motivated and skilled React JS / React Native software developer who is comfortable with both front and back-end programming. Developer will be designing and implementing attractive and intuitive Web-based user interface and developing backend services to support front-end requests. Developer will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Other Responsibilities:

· Seeing through a project from conception to finished product

· Designing and coding of frontend web architecture

· Designing user interactions on web pages

· Developing backend server architecture

· Creating specification for servers and databases needed

· Ensuring responsive performance of applications.

· Designing and developing APIs.

· Meeting both technical and consumer needs.

· Staying abreast of developments in web applications and programming languages

· Good problem-solving skills.

· Excellent verbal communication skills

• alling existing and potential customers to persuade them to purchase company products and services
• Accurately record details of customers' purchase orders
• Processing all customer purchases accordingly
• Generating promising leads for the outside sales team to pursue
• Managing customer accounts by ensuring that existing customers remain satisfied with company products and services
• Developing and sustaining solid relationships with customers to encourage repeat business
• Using sales scripts proffered by the company to drive sales and respond to customer rejections
• Developing in-depth knowledge of customer products and services to make suitable recommendations based on customers' needs and preferences
• Continually meeting or exceeding daily and monthly targets with respect to call volume and sales