Summary: We are seeking an experienced Dynamics 365 Finance & Operations (D365 F&O) Functional Consultant with over 3-6 years of hands-on experience to join our team. The ideal candidate will have deep expertise in D365 F&O, particularly in the Project Management & Accounting and Accounts Receivable modules. This role is essential for successfully implementing and optimizing our D365 F&O environment, ensuring that it aligns with business needs and drives operational efficiency. Roles and Responsibilities: · Lead the implementation and configuration of D365 F&O, focusing on the Project Management & Accounting and Accounts Receivable modules. · Analyze current processes and provide recommendations for optimizing D365 F&O to improve business performance. · Customize D365 F&O to address specific business needs and integrate with other enterprise systems · Oversee the D365 F&O project lifecycle, including planning, execution, monitoring, and closing. · Stay updated on the latest features and updates in D365 F&O. Required Skills and Experience: · Over 3-6 years years of experience working with Dynamics 365 Finance & Operations, with a focus on the Project Management & Accounting and Accounts Receivable modules. · Deep understanding of the Project Management & Accounting module, including project setup, budgeting, resource management, and billing. · Strong expertise in the Accounts Receivable module, including invoicing, payment processing, and credit management. · Strong technical skills in D365 F&O, including system configuration, customization, and integration with other enterprise systems. · Ability to analyze complex business processes and translate them into efficient system configurations. Proficient in data analysis and reporting using D365 F&O tools. · Proven experience in managing large-scale D365 F&O implementation projects, including planning, execution, and stakeholder management. · Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. · Strong problem-solving skills, with the ability to identify issues, propose solutions, and implement them effectively. Minimum Qualifications: Bachelor’s degree in Information Technology, Computer Science, Business Administration, or a related field. A Master’s degree is preferred. Minimum of 3-6 years of experience working with Dynamics 365 Finance & Operations, with significant experience in the Project Management & Accounting and Accounts Receivable modules. Microsoft Certified: Dynamics 365 Finance Functional Consultant Associate or similar certifications are highly desirable. Proficiency in SQL, Power BI, and other relevant tools for data analysis and reporting is a plus. We Are Looking For: A seasoned professional with a deep understanding of D365 F&O and its application in Project Management & Accounting and Accounts Receivable. An individual who thrives in a dynamic environment and can manage multiple projects simultaneously. A team player who collaborates effectively with cross-functional teams and stakeholders. A proactive problem solver who can anticipate challenges and develop strategies to address them before they escalate. A continuous learner who stays updated on the latest trends and best practices in D365 F&O and enterprise resource planning (ERP) systems. Show more Show less

Title: AI Integration Specialist Years of Experience : 7+ years Location: Onsite ( Job Description The AI Integration Specialist bridges the gap between intelligent models and operational systems. They will ensure seamless integration of AI models, APIs, and cognitive services into enterprise platforms, web/mobile applications, and automation pipelines. This role demands strong backend development skills, knowledge of integration patterns, and experience working across system boundaries to bring AI capabilities to business workflows. Key responsibilities · Integrate AI services into enterprise applications (CRM, ERP, portals, mobile apps) · Develop middleware services to enable interaction with AI models (REST, GraphQL, gRPC) · Manage APIs, version control, security, and authentication for AI endpoints · Implement monitoring, logging, and failover strategies for AI-powered modules · Facilitate integration of LLM-based copilots, agents, and intelligent assistants · Collaborate with Dev, QA, and AI teams to ensure end-to-end performance and quality · Enable multi-system orchestration using platforms like Power Automate or Logic Apps · Document integration blueprints, SDKs, and reusable patterns for scale. Technical Skills · Backend: Node.js, C#, Python (Flask, FastAPI), .NET Core · API Management: Azure API Management, Postman, Swagger/OpenAPI · Integration Platforms: Azure Logic Apps, Power Platform, MuleSoft, Zapier · AI Services: OpenAI, Azure OpenAI, Cognitive Search, GPT/LLM APIs · CI/CD: Azure DevOps, GitHub Actions, Jenkins · Familiarity with event-driven architecture (Service Bus, Kafka, Pub/Sub) · Understanding of OAuth, JWT, and API gateway security best practices Qualification Bachelor’s or Master’s in Computer Science, Software Engineering, or Systems Integration Microsoft Certified: Azure Developer Associate / Integration Architect desirable Hands-on experience integrating AI/ML models into customer-facing applications Strong understanding of RESTful architecture, data contracts, and system interoperability Job Type: Full-time Pay: Up to ₹700,000.00 per year Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR) Experience: AI Integration Specialist: 7 years (Required) Work Location: In person

Location: Onsite * Note : The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session . Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation. Job Description The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities: · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills: · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explainability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus. Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: AI Developer: 8 years (Required) Work Location: In person

Title : Business Analyst / Quality Assurance (BA/QA) Years of Experience: 5–7 years Job Description: The Business Analyst / QA professional will play a dual role in bridging business requirements with technical execution while ensuring delivery quality and compliance. This role demands strong analytical capabilities, a deep understanding of digital workflows, and excellent communication skills. The ideal candidate will work closely with stakeholders to gather and validate requirements, map out process flows, create user stories, and ensure solution integrity through rigorous testing and quality controls. Key responsibilities: Conduct stakeholder interviews and workshops to elicit and define business needs Document detailed business and functional requirements, process flows, and user journeys Translate requirements into user stories with clear acceptance criteria for agile teams Design and execute test cases (manual and automated) to validate feature development Lead sprint reviews and UAT sessions, ensuring business needs are met Maintain traceability from requirement to test case to defect resolution Manage product backlogs and support agile ceremonies (refinement, demos, retrospectives) Act as liaison between business, development, QA, and DevOps teams Analyze production defects and perform root cause analysis Ensure compliance with regulatory, security, and data privacy standards Technical Skills: · Tools: Azure DevOps, Jira, Confluence, Postman, MS Visio, MS Teams · BA Tools: Balsamiq, Figma (for wireframes), BPMN tools for process modeling · QA Tools: Selenium, Katalon, TestRail, Cypress (nice to have) · Methodologies: Agile/Scrum, DevOps, CI/CD integration · Testing Types: Functional, Regression, Integration, UAT, API testing · Data: Basic SQL for data validation, ETL testing understanding preferred Qualification Bachelor’s degree in Information Systems, Business Administration, Computer Science, or related field Certified Business Analyst Professional (CBAP) ISTQB or equivalent QA certification is a plus Experience working with agile teams in a hybrid onshore–offshore model Excellent communication and stakeholder engagement skills Experience in state/federal government project environments highly desirable Job Type: Full-time Pay: Up to ₹50,000.00 per month Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in Annual (INR) Experience: Business Analyst: 5 years (Required) Quality Analyst: 5 years (Required) Work Location: In person

Title : Senior Full Stack Developer Years of Experience: 8+ years Location: Onsite (The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune, based on project allocation.) Job Description: The Senior Full Stack Developer will lead the development of end-to-end web applications with robust frontend and scalable backend services. The role demands advanced proficiency in JavaScript/TypeScript frameworks, RESTful APIs, secure architecture practices, and DevOps integration. The candidate will collaborate closely with UX designers, API teams, and cloud architects to create high-performance applications aligned with client goals. Key responsibilities · Design and develop full-stack applications using React/Angular and Node.js/.NET · Build responsive, user-friendly interfaces and reusable frontend components · Develop secure, scalable REST and GraphQL APIs · Work with databases (SQL/NoSQL), caching strategies, and performance optimization · Integrate CI/CD pipelines and DevOps best practices · Implement unit/integration tests and conduct code reviews · Collaborate with UX/UI, security, and QA teams for robust delivery Technical Skills Frontend: React, Angular, TypeScript, Redux, HTML5, CSS3 Backend: Node.js, .NET Core, Java (Spring Boot) API Standards: REST, GraphQL, OAuth2, JWT Databases: PostgreSQL, MySQL, Cosmos DB, MongoDB DevOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Testing: Jest, Mocha, Selenium, Postman Tools: VS Code, Figma, Jira, Swagger Qualification Bachelor’s or Master’s in Computer Science or Software Engineering Microsoft Certified: Azure Developer Associate or equivalent Demonstrated experience in agile delivery of secure, scalable applications Strong analytical skills and attention to performance, maintainability, and security Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: Full Stack Developer: 8 years (Required) License/Certification: Azure Developer Associate or equivalent (Required) Work Location: In person

Title : Business Analyst / Quality Assurance (BA/QA) Years of Experience: 5–7 years Job Description: The Business Analyst / QA professional will play a dual role in bridging business requirements with technical execution while ensuring delivery quality and compliance. This role demands strong analytical capabilities, a deep understanding of digital workflows, and excellent communication skills. The ideal candidate will work closely with stakeholders to gather and validate requirements, map out process flows, create user stories, and ensure solution integrity through rigorous testing and quality controls. Key responsibilities: Conduct stakeholder interviews and workshops to elicit and define business needs Document detailed business and functional requirements, process flows, and user journeys Translate requirements into user stories with clear acceptance criteria for agile teams Design and execute test cases (manual and automated) to validate feature development Lead sprint reviews and UAT sessions, ensuring business needs are met Maintain traceability from requirement to test case to defect resolution Manage product backlogs and support agile ceremonies (refinement, demos, retrospectives) Act as liaison between business, development, QA, and DevOps teams Analyze production defects and perform root cause analysis Ensure compliance with regulatory, security, and data privacy standards Technical Skills: · Tools: Azure DevOps, Jira, Confluence, Postman, MS Visio, MS Teams · BA Tools: Balsamiq, Figma (for wireframes), BPMN tools for process modeling · QA Tools: Selenium, Katalon, TestRail, Cypress (nice to have) · Methodologies: Agile/Scrum, DevOps, CI/CD integration · Testing Types: Functional, Regression, Integration, UAT, API testing · Data: Basic SQL for data validation, ETL testing understanding preferred Qualification Bachelor’s degree in Information Systems, Business Administration, Computer Science, or related field Certified Business Analyst Professional (CBAP) ISTQB or equivalent QA certification is a plus Experience working with agile teams in a hybrid onshore–offshore model Excellent communication and stakeholder engagement skills Experience in state/federal government project environments highly desirable Job Type: Full-time Pay: Up to ₹50,000.00 per month Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in Annual (INR) Experience: Business Analyst: 5 years (Required) Quality Analyst: 5 years (Required) Work Location: In person

Title: Senior Power Platform Developer Years of Experience : 6+ years Location: Onsite ( The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation.) Job Description The Senior Power Platform Developer will design, develop, and maintain scalable solutions using Power Apps, Power Automate, Power BI, and Dataverse. The role requires deep knowledge of enterprise-grade solution building, advanced Power Fx logic, custom connectors, and Azure integrations. The developer will work with business users, architects, and analysts to digitize workflows, dashboards, and automate key business processes. Key responsibilities Develop Canvas and Model-Driven Apps with seamless user experiences Automate workflows and approvals using Power Automate and custom connectors Integrate Power Apps with Azure services, SharePoint, SQL, Dynamics 365, and third-party APIs Build secure, role-based solutions with Dataverse and advanced business rules Create interactive dashboards and reports using Power BI Conduct ALM (Application Lifecycle Management) using DevOps pipelines Document architecture and perform governance and solution reviews Technical Skills Platforms: Power Apps, Power Automate, Power BI, Dataverse Scripting: Power Fx, JavaScript, JSON, Expressions Integration: Azure Logic Apps, SharePoint, SQL, Dynamics 365, REST APIs DevOps: Power Platform CLI, Azure DevOps, Git Security: Role-based access control, environment policies, DLP Tools: XrmToolBox, Power Platform Admin Center, CoE Starter Kit Qualification Microsoft Certified: Power Platform Developer Associate (PL-400) Bachelor’s in Information Technology, Engineering, or Business Systems Proven success in deploying scalable Power Platform solutions in regulated environments Experience with ALM, governance, and managing cross-environment deployment Job Type: Full-time Pay: Up to ₹60,000.00 per month Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR) Experience: Power Apps: 6 years (Required) Power Automate: 6 years (Required) License/Certification: Power Platform Developer Associate (PL-400) (Required) Work Location: In person

Title: Senior Backend Developer (API Specialist) Years of Experience: 7+ years Location: Onsite ( The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune, based on project allocation.) Job Description The Senior Backend Developer (API Specialist) will design and build enterprise-grade backend services and APIs. This role is key in enabling secure, scalable integrations across internal systems and external platforms. The ideal candidate has hands-on experience with microservices, API gateways, and DevSecOps, along with performance tuning and versioning best practices. Key responsibilities · Design microservice architectures and RESTful APIs using modern backend frameworks · Implement secure API authentication/authorization protocols (OAuth2, OpenID) · Manage API versioning, rate-limiting, and lifecycle documentation · Work with API Management platforms (e.g., Azure API Management) · Develop unit and performance tests to ensure robust integration · Enable backend telemetry, tracing, and analytics · Partner with frontend, cloud, and DevOps teams for end-to-end delivery Technical Skills · Languages: C#, .NET Core, Python, Java, Go · API Technologies: Swagger/OpenAPI, GraphQL, Postman, API Management · Cloud: Azure Functions, Azure API Management, AWS Lambda · Messaging: Kafka, RabbitMQ, Azure Service Bus · Databases: SQL Server, Cosmos DB, Redis, Elasticsearch · DevOps: Docker, Azure DevOps, Terraform, GitHub · Security: OAuth2, TLS, JWT, Azure AD Qualification Bachelor’s in Computer Science, IT, or related field Microsoft Certified: Azure Developer or Integration Architect a plus Experience with high-load, mission-critical API development Deep understanding of integration patterns, performance tuning, and observability Job Type: Full-time Pay: Up to ₹80,000.00 per year Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR) Experience: API Backend Developer: 7 years (Required) Work Location: In person

Title : Senior Full Stack Developer Years of Experience: 8+ years Location: Onsite (The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune, based on project allocation.) Job Description: The Senior Full Stack Developer will lead the development of end-to-end web applications with robust frontend and scalable backend services. The role demands advanced proficiency in JavaScript/TypeScript frameworks, RESTful APIs, secure architecture practices, and DevOps integration. The candidate will collaborate closely with UX designers, API teams, and cloud architects to create high-performance applications aligned with client goals. Key responsibilities · Design and develop full-stack applications using React/Angular and Node.js/.NET · Build responsive, user-friendly interfaces and reusable frontend components · Develop secure, scalable REST and GraphQL APIs · Work with databases (SQL/NoSQL), caching strategies, and performance optimization · Integrate CI/CD pipelines and DevOps best practices · Implement unit/integration tests and conduct code reviews · Collaborate with UX/UI, security, and QA teams for robust delivery Technical Skills Frontend: React, Angular, TypeScript, Redux, HTML5, CSS3 Backend: Node.js, .NET Core, Java (Spring Boot) API Standards: REST, GraphQL, OAuth2, JWT Databases: PostgreSQL, MySQL, Cosmos DB, MongoDB DevOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Testing: Jest, Mocha, Selenium, Postman Tools: VS Code, Figma, Jira, Swagger Qualification Bachelor’s or Master’s in Computer Science or Software Engineering Microsoft Certified: Azure Developer Associate or equivalent Demonstrated experience in agile delivery of secure, scalable applications Strong analytical skills and attention to performance, maintainability, and security Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: Full Stack Developer: 8 years (Required) License/Certification: Azure Developer Associate or equivalent (Required) Work Location: In person

Title: Senior Data Architect Years of Experience : 10+ years Location: Onsite ( The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session. Post training, the candidate will be relocated to one of our onsite locations: _ Chennai, Hyderabad, or Pune, based on project allocation.)_ Job Description The Senior Data Architect will design, govern, and optimize the entire data ecosystem for advanced analytics and AI workloads. This role ensures data is collected, stored, processed, and made accessible in a secure, performant, and scalable manner. The candidate will drive architecture design for structured/unstructured data, build data governance frameworks, and support the evolution of modern data platforms across cloud environments. Key responsibilities Architect enterprise data platforms using Azure/AWS/GCP and modern data lake/data mesh patterns Design logical and physical data models, semantic layers, and metadata frameworks Establish data quality, lineage, governance, and security policies Guide the development of ETL/ELT pipelines using modern tools and streaming frameworks Integrate AI and analytics solutions with operational data platforms Enable self-service BI and ML pipelines through Databricks, Synapse, or Snowflake Lead architecture reviews, design sessions, and CoE reference architecture development Technical Skills · Cloud Platforms: Azure Synapse, Databricks, Azure Data Lake, AWS Redshift · Data Modeling: ERWin, dbt, Power Designer · Storage & Processing: Delta Lake, Cosmos DB, PostgreSQL, Hadoop, Spark · Integration: Azure Data Factory, Kafka, Event Grid, SSIS · Metadata/Lineage: Purview, Collibra, Informatica · BI Platforms: Power BI, Tableau, Looker · Security & Compliance: RBAC, encryption at rest/in transit, NIST/FISMA Qualification Bachelor’s or Master’s in Computer Science, Information Systems, or Data Engineering Microsoft Certified: Azure Data Engineer / Azure Solutions Architect Strong experience building cloud-native data architectures Demonstrated ability to create data blueprints aligned with business strategy and compliance. Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in annual (INR) Experience: Data Architect: 10 years (Required) License/Certification: Azure Data Engineer or Azure Solutions Architect (Required) Work Location: In person

Title: Senior Data Scientist Years of Experience : 8+ years Location : Onsite (The selected candidate is required to relocate to Kovilpatti, Tamil Nadu, for the initial three-month project training session . Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation.) Job Description The Senior Data Scientist will lead the development and implementation of advanced analytics and AI/ML models to solve complex business problems. This role requires deep statistical expertise, hands-on model building experience, and the ability to translate raw data into strategic insights. The candidate will collaborate with business stakeholders, data engineers, and AI engineers to deploy production-grade models that drive innovation and value. Key responsibilities · Lead end-to-end model lifecycle: data exploration, feature engineering, model training, validation, deployment, and monitoring · Develop predictive models, recommendation systems, anomaly detection, NLP models, and generative AI applications · Conduct statistical analysis and hypothesis testing for business experimentation · Optimize model performance using hyperparameter tuning, ensemble methods, and explainable AI (XAI) · Collaborate with data engineering teams to improve data pipelines and quality · Document methodologies, build reusable ML components, and publish technical artifacts · Mentor junior data scientists and contribute to CoE-wide model governance Technical Skills ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker Data visualization: Power BI, Tableau, Plotly, Seaborn SQL and NoSQL (CosmosDB, MongoDB) Git, CI/CD tools, and model monitoring platforms Qualification Master’s in Data Science, Statistics, Mathematics, or Computer Science Microsoft Certified: Azure Data Scientist Associate or equivalent Proven success in delivering production-ready ML models with measurable business impact Publications or patents in AI/ML will be considered a strong advantage. Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR)? Experience: Data Scientist: 8 years (Required) License/Certification: Azure Data Scientist Associate (Required) Work Location: In person

Title: AI Integration Specialist Years of Experience : 7+ years Location: Onsite ( Job Description The AI Integration Specialist bridges the gap between intelligent models and operational systems. They will ensure seamless integration of AI models, APIs, and cognitive services into enterprise platforms, web/mobile applications, and automation pipelines. This role demands strong backend development skills, knowledge of integration patterns, and experience working across system boundaries to bring AI capabilities to business workflows. Key responsibilities · Integrate AI services into enterprise applications (CRM, ERP, portals, mobile apps) · Develop middleware services to enable interaction with AI models (REST, GraphQL, gRPC) · Manage APIs, version control, security, and authentication for AI endpoints · Implement monitoring, logging, and failover strategies for AI-powered modules · Facilitate integration of LLM-based copilots, agents, and intelligent assistants · Collaborate with Dev, QA, and AI teams to ensure end-to-end performance and quality · Enable multi-system orchestration using platforms like Power Automate or Logic Apps · Document integration blueprints, SDKs, and reusable patterns for scale. Technical Skills · Backend: Node.js, C#, Python (Flask, FastAPI), .NET Core · API Management: Azure API Management, Postman, Swagger/OpenAPI · Integration Platforms: Azure Logic Apps, Power Platform, MuleSoft, Zapier · AI Services: OpenAI, Azure OpenAI, Cognitive Search, GPT/LLM APIs · CI/CD: Azure DevOps, GitHub Actions, Jenkins · Familiarity with event-driven architecture (Service Bus, Kafka, Pub/Sub) · Understanding of OAuth, JWT, and API gateway security best practices Qualification Bachelor’s or Master’s in Computer Science, Software Engineering, or Systems Integration Microsoft Certified: Azure Developer Associate / Integration Architect desirable Hands-on experience integrating AI/ML models into customer-facing applications Strong understanding of RESTful architecture, data contracts, and system interoperability Job Type: Full-time Pay: Up to ₹700,000.00 per year Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected salary in annual (INR) Experience: AI Integration Specialist: 7 years (Required) Work Location: In person

Job Title: AI Infrastructure Engineer Experience: 8+ Years Location: Onsite ( Note: The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session . Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation.) Job Summary: We are looking for an experienced AI Infrastructure Engineer to architect and manage scalable, secure, and high-performance infrastructure tailored for enterprise AI and ML applications. The ideal candidate will collaborate with data scientists, DevOps, and cybersecurity teams to build reliable platforms for efficient model development, training, and deployment. Key Responsibilities: Design and implement end-to-end AI infrastructure using cloud-native tools (Azure, AWS, GCP). Build secure and scalable compute environments with GPU/TPU acceleration for model training and inference. Develop and maintain CI/CD and MLOps pipelines for the AI/ML lifecycle. Optimize large-scale AI workloads using distributed computing and hardware-aware strategies. Manage containerized deployments using orchestration platforms like Kubernetes (AKS, EKS, GKE) and Docker. Ensure system reliability, monitoring, observability, and performance tuning for real-time inference services. Implement automated rollback, logging, and infrastructure monitoring tools. Collaborate with cybersecurity teams to enforce security, data privacy, and regulatory compliance. Technical Skills: Cloud Platforms: Azure Machine Learning, AWS SageMaker, GCP Vertex AI Infrastructure-as-Code: Terraform, ARM Templates, Bicep Containerization & Orchestration: Docker, Kubernetes (AKS, EKS, GKE) MLOps Tools: MLflow, Kubeflow, Azure DevOps, GitHub Actions GPU/TPU Acceleration: CUDA, NVIDIA Triton Inference Server Security & Compliance: TLS, IAM, RBAC, Azure Key Vault Performance: Endpoint scaling, latency optimization, model caching, and resource allocation Qualifications: Bachelor's or Master's in Computer Engineering, Cloud Architecture, or a related field Microsoft Certified: Azure Solutions Architect or DevOps Engineer Expert (preferred) Proven experience deploying and managing large-scale ML pipelines and AI workloads Strong understanding of infrastructure security, networking, and cloud-based AI environments Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Tamulinadu, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in Annual (INR) Experience: AI Infrastructure Engineer : 8 years (Required) Work Location: In person

Location: Onsite * Note : The selected candidate is required to relocate to Kovilpatti, Tamil Nadu for the initial three-month project training session . Post training, the candidate will be relocated to one of our onsite locations: Chennai, Hyderabad, or Pune , based on project allocation. Job Description The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities: · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills: · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explainability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus. Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: AI Developer: 8 years (Required) Work Location: In person

Title: AI Integration Specialist Years of Experience : 7+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The AI Integration Specialist bridges the gap between intelligent models and operational systems. They will ensure seamless integration of AI models, APIs, and cognitive services into enterprise platforms, web/mobile applications, and automation pipelines. This role demands strong backend development skills, knowledge of integration patterns, and experience working across system boundaries to bring AI capabilities to business workflows. Key responsibilities Integrate AI services into enterprise applications (CRM, ERP, portals, mobile apps) Develop middleware services to enable interaction with AI models (REST, GraphQL, gRPC) Manage APIs, version control, security, and authentication for AI endpoints Implement monitoring, logging, and failover strategies for AI-powered modules Facilitate integration of LLM-based copilots, agents, and intelligent assistants Collaborate with Dev, QA, and AI teams to ensure end-to-end performance and quality Enable multi-system orchestration using platforms like Power Automate or Logic Apps Document integration blueprints, SDKs, and reusable patterns for scale. Technical Skills Backend: Node.js, C#, Python (Flask, FastAPI), .NET Core API Management: Azure API Management, Postman, Swagger/OpenAPI Integration Platforms: Azure Logic Apps, Power Platform, MuleSoft, Zapier AI Services: OpenAI, Azure OpenAI, Cognitive Search, GPT/LLM APIs CI/CD: Azure DevOps, GitHub Actions, Jenkins Familiarity with event-driven architecture (Service Bus, Kafka, Pub/Sub) Understanding of OAuth, JWT, and API gateway security best practices Qualification Bachelor’s or Master’s in Computer Science, Software Engineering, or Systems Integration Microsoft Certified: Azure Developer Associate / Integration Architect desirable Hands-on experience integrating AI/ML models into customer-facing applications Strong understanding of RESTful architecture, data contracts, and system interoperability Job Type: Full-time Pay: Up to ₹700,000.00 per year Ability to commute/relocate: Kovilpatti, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected salary in annual (INR) Experience: AI Integration Specialist: 7 years (Required) Work Location: In person

Title : Senior Full Stack Developer Years of Experience: 8+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description: The Senior Full Stack Developer will lead the development of end-to-end web applications with robust frontend and scalable backend services. The role demands advanced proficiency in JavaScript/TypeScript frameworks, RESTful APIs, secure architecture practices, and DevOps integration. The candidate will collaborate closely with UX designers, API teams, and cloud architects to create high-performance applications aligned with client goals. Key responsibilities Design and develop full-stack applications using React/Angular and Node.js/.NET Build responsive, user-friendly interfaces and reusable frontend components Develop secure, scalable REST and GraphQL APIs Work with databases (SQL/NoSQL), caching strategies, and performance optimization Integrate CI/CD pipelines and DevOps best practices Implement unit/integration tests and conduct code reviews Collaborate with UX/UI, security, and QA teams for robust delivery Technical Skills Frontend: React, Angular, TypeScript, Redux, HTML5, CSS3 Backend: Node.js, .NET Core, Java (Spring Boot) API Standards: REST, GraphQL, OAuth2, JWT Databases: PostgreSQL, MySQL, Cosmos DB, MongoDB DevOps: Azure DevOps, GitHub Actions, Docker, Kubernetes Testing: Jest, Mocha, Selenium, Postman Tools: VS Code, Figma, Jira, Swagger Qualification Bachelor’s or Master’s in Computer Science or Software Engineering Microsoft Certified: Azure Developer Associate or equivalent Demonstrated experience in agile delivery of secure, scalable applications Strong analytical skills and attention to performance, maintainability, and security Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: Full Stack Developer: 8 years (Required) License/Certification: Azure Developer Associate or equivalent (Required) Work Location: In person

Title: Senior Power Platform Developer Years of Experience : 6+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior Power Platform Developer will design, develop, and maintain scalable solutions using Power Apps, Power Automate, Power BI, and Dataverse. The role requires deep knowledge of enterprise-grade solution building, advanced Power Fx logic, custom connectors, and Azure integrations. The developer will work with business users, architects, and analysts to digitize workflows, dashboards, and automate key business processes. Key responsibilities Develop Canvas and Model-Driven Apps with seamless user experiences Automate workflows and approvals using Power Automate and custom connectors Integrate Power Apps with Azure services, SharePoint, SQL, Dynamics 365, and third-party APIs Build secure, role-based solutions with Dataverse and advanced business rules Create interactive dashboards and reports using Power BI Conduct ALM (Application Lifecycle Management) using DevOps pipelines Document architecture and perform governance and solution reviews Technical Skills Platforms: Power Apps, Power Automate, Power BI, Dataverse Scripting: Power Fx, JavaScript, JSON, Expressions Integration: Azure Logic Apps, SharePoint, SQL, Dynamics 365, REST APIs DevOps: Power Platform CLI, Azure DevOps, Git Security: Role-based access control, environment policies, DLP Tools: XrmToolBox, Power Platform Admin Center, CoE Starter Kit Qualification Microsoft Certified: Power Platform Developer Associate (PL-400) Bachelor’s in Information Technology, Engineering, or Business Systems Proven success in deploying scalable Power Platform solutions in regulated environments Experience with ALM, governance, and managing cross-environment deployment Job Type: Full-time Pay: Up to ₹60,000.00 per month Location Type: In-person Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected salary in annual (INR) Experience: Power Apps: 6 years (Required) Power Automate: 6 years (Required) License/Certification: Power Platform Developer Associate (PL-400) (Required) Work Location: In person

Title: Senior Backend Developer (API Specialist) Years of Experience: 7+ years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior Backend Developer (API Specialist) will design and build enterprise-grade backend services and APIs. This role is key in enabling secure, scalable integrations across internal systems and external platforms. The ideal candidate has hands-on experience with microservices, API gateways, and DevSecOps, along with performance tuning and versioning best practices. Key responsibilities Design microservice architectures and RESTful APIs using modern backend frameworks Implement secure API authentication/authorization protocols (OAuth2, OpenID) Manage API versioning, rate-limiting, and lifecycle documentation Work with API Management platforms (e.g., Azure API Management) Develop unit and performance tests to ensure robust integration Enable backend telemetry, tracing, and analytics Partner with frontend, cloud, and DevOps teams for end-to-end delivery Technical Skills Languages: C#, .NET Core, Python, Java, Go API Technologies: Swagger/OpenAPI, GraphQL, Postman, API Management Cloud: Azure Functions, Azure API Management, AWS Lambda Messaging: Kafka, RabbitMQ, Azure Service Bus Databases: SQL Server, Cosmos DB, Redis, Elasticsearch DevOps: Docker, Azure DevOps, Terraform, GitHub Security: OAuth2, TLS, JWT, Azure AD Qualification Bachelor’s in Computer Science, IT, or related field Microsoft Certified: Azure Developer or Integration Architect a plus Experience with high-load, mission-critical API development Deep understanding of integration patterns, performance tuning, and observability Job Type: Full-time Pay: Up to ₹80,000.00 per year Location Type: In-person Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected salary in annual (INR) Experience: API Backend Developer: 7 years (Required) Work Location: In person

Title : Senior AI Developer Experience : 8+ Years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Description The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities: Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications Architect AI model pipelines and implement scalable inference engines in cloud-native environments Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs Optimize algorithms for real-time performance, efficiency, and fairness Write modular, maintainable code and perform rigorous unit testing and validation Contribute to AI codebase management, CI/CD, and automated retraining infrastructure Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills: Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral Experience with RESTful APIs, Flask/FastAPI for AI service exposure Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) Knowledge of Responsible AI frameworks (bias detection, fairness, explainability) Qualification Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred Demonstrated success in building scalable AI applications in production environments Publications or contributions to open-source AI/ML projects are a plus. Job Type: Full-time Pay: Up to ₹80,000.00 per month Location Type: In-person Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected Salary in Annual (INR)? Experience: AI Developer: 8 years (Required) Work Location: In person

Job Title: AI Infrastructure Engineer Experience: 8+ Years *Location: The selected candidate is required to work onsite at our Chennai location for the initial six-month project training and execution period. After the six months , the candidate will be offered remote opportunities.* Job Summary: We are looking for an experienced AI Infrastructure Engineer to architect and manage scalable, secure, and high-performance infrastructure tailored for enterprise AI and ML applications. The ideal candidate will collaborate with data scientists, DevOps, and cybersecurity teams to build reliable platforms for efficient model development, training, and deployment. Key Responsibilities: Design and implement end-to-end AI infrastructure using cloud-native tools (Azure, AWS, GCP). Build secure and scalable compute environments with GPU/TPU acceleration for model training and inference. Develop and maintain CI/CD and MLOps pipelines for the AI/ML lifecycle. Optimize large-scale AI workloads using distributed computing and hardware-aware strategies. Manage containerized deployments using orchestration platforms like Kubernetes (AKS, EKS, GKE) and Docker. Ensure system reliability, monitoring, observability, and performance tuning for real-time inference services. Implement automated rollback, logging, and infrastructure monitoring tools. Collaborate with cybersecurity teams to enforce security, data privacy, and regulatory compliance. Technical Skills: Cloud Platforms: Azure Machine Learning, AWS SageMaker, GCP Vertex AI Infrastructure-as-Code: Terraform, ARM Templates, Bicep Containerization & Orchestration: Docker, Kubernetes (AKS, EKS, GKE) MLOps Tools: MLflow, Kubeflow, Azure DevOps, GitHub Actions GPU/TPU Acceleration: CUDA, NVIDIA Triton Inference Server Security & Compliance: TLS, IAM, RBAC, Azure Key Vault Performance: Endpoint scaling, latency optimization, model caching, and resource allocation Qualifications: Bachelor's or Master's in Computer Engineering, Cloud Architecture, or a related field Microsoft Certified: Azure Solutions Architect or DevOps Engineer Expert (preferred) Proven experience deploying and managing large-scale ML pipelines and AI workloads Strong understanding of infrastructure security, networking, and cloud-based AI environments Job Type: Full-time Pay: Up to ₹80,000.00 per month Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Expected Salary in Annual (INR) Experience: AI Infrastructure Engineer : 8 years (Required) Work Location: In person