11+ SAP BASIS Jobs in Coimbatore | SAP BASIS Job openings in Coimbatore

• 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.

Manage bookkeeping activities including bank reconciliation and journal entries.

 Prepare and lodge BAS (Business Activity Statements).

 Handle payroll processing in compliance with Australian regulations.

 Perform year-end accounts finalization.

 Prepare and assist in tax return filings (Individual/Corporate).

 Maintain accurate financial records and ensure compliance with Australian standards.

 Work closely with internal teams and clients for smooth execution of tasks.

Required Skills & Qualifications:

 3–6 years of experience in Australian Accounting & Taxation.

 Strong knowledge of bookkeeping, BAS, payroll, and tax returns.

 Hands-on experience in Xero and MYOB.

 Good communication skills in Hindi and English (both mandatory).

 Strong attention to detail and ability to meet deadlines.

Preferred Candidate Profile:

 Female candidates are preferred for this role.

 Immediate joiners only.

 Ability to work efficiently in a structured office environment.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

SAP ABAP CONSULTANT

We are looking for a Senior SAP ABAP Consultant with strong expertise in custom code remediation, ATC analysis, and S/4HANA system conversion projects. The ideal candidate must have hands-on experience in handling SPAU/SPDD adjustments, modern ABAP

techniques, and should have worked on end-to-end greenfield/brownfield migrations to

S/4HANA.

Experience: 6-10 Years

Location: Coimbatore

Mode of Work: Work from Office

Key Responsibilities:

• Lead and perform Custom Code Analysis and Remediation using ATC tools and SAP Simplification Database.
• Execute SYCM (Simplification Item Check) and SYCM_DOWNLOAD_REPOSITORY_INFO reports and interpret results.
• Handle SPAU and SPDD activities post technical conversion and manage adjustment of modified SAP objects.
• Support S/4HANA Migration (Brownfield/Conversion) projects end-to-end from an ABAP standpoint.
• Collaborate with functional and BASIS teams to address compatibility issues and ensure a smooth transition.
• Develop and enhance custom ABAP objects including Reports, Enhancements, BADI/User Exits, SmartForms, and Interfaces.
• Design and optimize CDS Views, AMDP, and OData services for Fiori consumption.
• Participate in Unit Testing, SIT, UAT, and support post go-live stabilization.

Must-Have Skills:

• Strong ABAP experience with a focus on S/4HANA readiness.
• Deep knowledge of ATC Custom Code Checks, S/4HANA simplification items, and code remediation.
• Expertise in SPAU/SPDD handling and understanding of SAP OSS Note adjustments.
• Good command over CDS Views, AMDP, and OData.
• Knowledge of Object-Oriented ABAP and enhancement techniques.
• Exposure to SAP Fiori architecture and services.

Job Title : Full Stack Senior SME

Job Role :Heading the full stack training department

Skills :HTML, Java Script, Python, React.js, SQL Node.js.

Location: Coimbatore

We are seeking talented and motivated Full Stack Web Developer to join our team. The ideal candidate should have hands-on experience in front-end, back-end, databases, and cloud deployment. You will be responsible for designing, developing, and maintaining scalable web applications, working closely with cross-functional teams in a fast-paced environment.

Responsibilities

• Design and develop responsive front-end applications using modern frameworks (React.js / Angular / Vue.js).
• Build and maintain RESTful APIs / GraphQL services using Node.js, Express, Django, or similar.
• Develop robust back-end systems with focus on performance, scalability, and security.
• Work with databases (MySQL, PostgreSQL, MongoDB, etc.).
• Deploy and manage applications on cloud platforms (AWS / Azure / GCP).
• Collaborate with designers, product managers, and DevOps engineers in an Agile environment.
• Write clean, reusable, and testable code following best practices.
• Debug, troubleshoot, and optimize application performance.

Required Skills

• Front-end: React.js / Angular / Vue.js, HTML5, CSS3, JavaScript (ES6+).
• Back-end: Node.js / Express.js / Django / Spring Boot.
• Databases: MySQL, PostgreSQL, MongoDB.
• Version Control: Git, GitHub, GitLab.
• Cloud Deployment: AWS / Azure / GCP.
• CI/CD basics and DevOps awareness.

Preferred Skills (Good to Have)

• TypeScript for scalable front-end development.
• Experience with Docker / Kubernetes.
• Familiarity with microservices architecture.
• Test automation (Jest, Mocha, Cypress).
• Exposure to Agile/Scrum methodologies.

Eligibility

• B.E / B.Tech / M.E / M.Tech / MCA / M.Sc (IT/CS).
• 2–5 years of experience as a Full Stack Developer.
• Strong problem-solving and analytical skills.

.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

•  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)

Greeting from Cadeploy!!!

We are hiring for 4+yrs Exp in Tekla / SDS2 - Sr.Modeller / Sr.Checker / Sr.Detailer.

AISC/USA/Canda Standards are Modatory 

Location - Hyderabad / Coimbatore 

If any one Interested pls share updated profiles.

BR,

B.

Location – Kochi

Must have experience in . ASP.Net MVC, NET Core, C#, JavaScript, JQuery, SQL

*Knowledge in Power BI would be a add on.

* Experience in upgrading, configuring and debugging existing systems 

* Providing technical support for web, desktop and mobile applications

*Proficient in writing clean, scalable code using .NET programming languages

*Develop documentation throughout SDLC

*Serve as an expert on applications and provide technical support

*Revise, update, refactor and debug code to improve existing software

* Analytical mindset & problem solving aptitude & implementing the best solution as per needs

* Superior communication skills as the role involves daily client interactions