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Finance & Operations Manager – IT Company
Role Overview
The Finance & Operations Manager drives financial health and operational efficiency, ensuring IT projects are delivered on time, within budget, and aligned with strategic goals. This role blends financial expertise with operational oversight to optimize resources, control costs, and enable sustainable growth in a fast-paced technology environment.
Key Responsibilities
Financial Management
- Develop annual budgets, forecasts, and financial models.
- Monitor project profitability, billing cycles, and cash flow.
- software licensing, and vendor expenses.
- Prepare monthly/quarterly financial reports for leadership.
- Ensure compliance with tax, audit, and accounting standards.
Operations Management
- Allocate resources effectively across projects and teams.
- Streamline processes using ITIL/Agile best practices.
- Manage vendor relationships and negotiate contracts.
- Track KPIs: utilization rates, SLA adherence, delivery timelines.
Skills & Tools
- Finance: Budgeting, cost analysis, CAPEX/OPEX management.
- Tech Awareness: IT project lifecycle
- Analytical: KPI tracking(Excel, Power BI).
- Tools: Jira, Confluence, MS Excel.
- Soft Skills: Leadership, problem-solving, vendor negotiation.
Key Performance Indicators (KPIs)
- Project profit margin
- OPEX vs CAPEX ratio
- Resource utilization rate
- Vendor performance score
- Invoice-to-payment cycle time
Impact Statement:
A Finance & Operations Manager ensures that every dollar spent drives value, every resource is utilized optimally, and every project contributes to the company’s bottom line—keeping IT operations efficient, scalable, and profitable.
Job Description – AI Tech Lead
Location: Bangaluru
Experience: 10+ Years
Function: AI Center of Excellence (CoE)
Reporting To: Senior Vice President – CX / Head of AI CoE
We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.
The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.
2. Key Responsibilities
A. Solution Architecture & Strategy
- Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
- Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
- Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
- Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.
B. Project Delivery & Execution Leadership
- Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
- Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
- Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
- Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.
C. Technical Hands-on Expertise
- Architect and build complex AI systems involving:
- Large Language Models (LLMs) & GenAI apps
- Agentic workflows and autonomous task orchestration
- Predictive modeling, forecasting, optimization, and statistical modeling
- Knowledge graphs, vector databases, embeddings
- Data engineering pipelines (ETL/ELT) and cloud-native architectures
- Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.
D. Team Leadership & Mentoring
- Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
- Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
- Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.
E. Stakeholder & Client Management
- Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
- Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
- Support pre-sales with solutioning, effort estimation, and technical presentations.
3. A. Technical Skills
- Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
- Hands-on experience building applications using:
- LLMs, RAG, fine‑tuning, prompt engineering
- Autonomous AI agents & multi-agent systems
- Predictive ML models (Regression, Classification, Clustering, NLP, CV)
- Expertise in microservices architecture, API design, scalable deployments.
- Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
- Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.
B. Functional & Domain Skills
- Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
- Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.
C. Leadership & Soft Skills
- Strong team leadership and mentoring experience.
- Excellent communication, client-facing abilities, and stakeholder management skills.
- Strong decision-making, problem-solving, and delivery ownership.
4. Qualifications
- Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
- 10–15 years total experience with at least 5+ years leading AI/ML projects.
- Demonstrated success delivering large-scale AI programs in enterprise environments.
- Certifications in AI/ML, cloud, or architecture (preferred).
Job Description:
MulticoreWare Inc develops heterogeneous software for Media and Automotive markets. It develops and licenses world-class video codec libraries, such as the widely used x265 (open-source HEVC encoding library) and supports tier-1 global streaming video services and video encoding solution providers.
As a Senior SW Engineer/Technical Lead, you will join MulticoreWare’s growing team of world-class engineers, and architects in its offices at Chennai, India, to implement, and deliver solutions in video pipelines and products. You will work in a result-oriented team with a culture of transparency and minimal bureaucracy. MulticoreWare provides a collaborative work environment with opportunities to learn, grow and progress in your career path.
Key Responsibilities:
- Implement, test, and deliver production-quality software, architected for problems in video pipelines of internal and customer IPs
- Lead the execution and implementation of product features with a small team of engineers and mentor the junior engineers within the team
- Conduct meticulous code-reviews to ensure bug-free and high-quality deliverables.
- Contribute towards product release cycles by developing tests deployed in continuous integration frameworks, fixing bugs identified during release, etc.
- Interface with customers, support customer evaluations of products and debugging of customer issues
Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering with 5 + years’ experience, or a Master’s degree in similar areas with 3+ years’ experience
- Excellent C/C++ development and debugging experience in creating production-grade software on Windows and Unix-based platforms
- Hands-on experience in video coding with an in-depth knowledge of HEVC, AVC, VP9, AV1 and VVC
- Strong interest in video/imaging technologies, including video/image compression, analytics, and streaming/delivery
- Demonstrated analytical, problem solving and troubleshooting skills, with a meticulous attention to detail
- Working knowledge of code management systems such as Git and Bitbucket
- Good verbal and written communication skills
Preferred Qualifications:
- Experience with continuous integration frameworks like Jenkins
- Experience with heterogeneous programming libraries such as OpenCL, CUDA
- Experience with platform-specific software optimizations like SIMD to enable higher performance software
- Understanding of Agile / Scrum methodologies
- Experience in interacting with geographically distributed teams for reviews and meetings
- Work experience as a Java Developer.
- Experience designing, building and testing Java EE applications.
- In-depth knowledge of popular Java frameworks like JSF and Spring MVC.
- Very good understanding of design patterns Hands on experience on ORM framework
- Design and develop reusable libraries and APIs.
- Experience with Object-Oriented Design (OOD).
- Experience on handling exceptions Experience on handling transaction
- Excellent knowledge of Relational Databases, SQL and ORM technologies ( JPA2, Hibernate)
UI / UX Designer for Industrial IOT Product.
User-centered design principles: Deep understanding of user needs and behaviors.
Information architecture: Organizing and structuring content for optimal user experience.
Interaction design: Creating intuitive and engaging user flows and interactions.
Wireframing & Prototyping: Creating low and high-fidelity prototypes to test and iterate designs.
Analytics & data analysis: Using data to inform design decisions and measure design effectiveness.
Visual design principles: Typography, color theory, layout, and visual hierarchy.
UI design tools: Figma, Sketch, Adobe XD, etc.
Responsive design: Designing interfaces that adapt seamlessly to various screen sizes.
Accessibility standards: WCAG guidelines for creating inclusive designs.
Front-end development basics: HTML, CSS, and JavaScript for understanding technical feasibility.
Software & Tools:
Design software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), InVision, etc.
Prototyping tools: Figma, Adobe XD, InVision Studio, Axure, etc.
Collaboration tools: Jira, Confluence, Slack, etc.
Version control: Git or similar for managing design files.
Soft Skills:
Communication: Clearly articulating design decisions and presenting ideas to stakeholders.
Collaboration: Working effectively with cross-functional teams (developers, product managers, marketers).
Problem-solving: Identifying user pain points and developing creative solutions.
Critical thinking: Analyzing user data and feedback to make informed design decisions.
Mentorship: Guiding and supporting junior designers.
Time management: Handling multiple projects and meeting deadlines.
Adaptability: Staying current with design trends and emerging technologies.
Beyond the Basics:
Domain expertise: Industrial IOT is a plus
Dear Job seekers
Greetings from vimishaitech
Job description:
Leading MNC IT company in Coimbatore is looking for Asp. Net Developer having 2 - 3 yrs of Experience having experience as below. This is a full-time. NET Developer role based in Coimbatore. The Dotnet Developer will be responsible for day-to-day tasks associated with software development, including object-oriented programming (OOP), . NET Core, programming, and ASP. NET MVC. The Developer will work on-site and collaborate with cross-functional teams to develop, analyze, and maintain software applications.
Requirements:
Experience: 2-3 years.
Skill Set: . Net, MVC Framework, Web Application Development, c#, sql server, MVC Architecture, software development, ASP. Net MVC, jQuery, ADO. Net, programming.
Experience in Software Development and ASP. NET MVC.
Strong knowledge of object-oriented programming (OOP) concepts.
Proficient in. NET Core and programming languages like C#.
Ability to design, develop, and maintain software applications.
Experience with database systems such as SQL Server.
Strong problem-solving and analytical skills.
Excellent written and verbal communication skills.
Bachelor's degree in Computer Science or related field.
Experience working in an Agile development environment is preferred.
- OWASP Secure Code review,• Basic programing knowledge in any programming language and knowledge on secure development practices.
- OWASP TOP 10 vulnerabilities and their mitigations
- Hands on experience in Web Application Security Testing tools (SAST & DAST) and Penetration testing tools such as HP Fortify, Checkmarx, Acunetix, Nessus, Burp Suite, Metasploit., Qualys Guard, Kali Linux , etc.
- Understand/modify exploit code and find logical security flaws in applications
- Should have knowledge and experience on Network Security, Application Security, Internet Security, attack vectors.
- To carry out technical vulnerability assessments, identify potential vulnerabilities and provide recommended controls and support to mitigate them.
Keyskills: HANA , STMS, Upgrade, SAP Security, Client Copy Activities.
JOB DESCRIPTION:
Roles and Responsibilities:
- Starting and stopping SAP instance.
- User administration – setup and maintenance.
- Authorization / Role / Profiles – setup and maintenance.
- Setup SAP security.
- Maintenance of system's health.
- Monitor system performance and logs.
- Spool and print administration.
- Maintain system landscape.






