11+ TAC Jobs in Hyderabad | TAC Job openings in Hyderabad

ETL Developer – Talend

Job Duties:

• ETL Developer is responsible for Design and Development of ETL Jobs which follow standards,

best practices and are maintainable, modular and reusable.

• Proficiency with Talend or Pentaho Data Integration / Kettle.
• ETL Developer will analyze and review complex object and data models and the metadata

repository in order to structure the processes and data for better management and efficient

access.

• Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time.
• Training and mentoring Junior Analysts and building their proficiency in the ETL process.
• Preparing mapping document to extract, transform, and load data ensuring compatibility with

all tables and requirement specifications.

• Experience in ETL system design and development with Talend / Pentaho PDI is essential.
• Create quality rules in Talend.
• Tune Talend / Pentaho jobs for performance optimization.
• Write relational(sql) and multidimensional(mdx) database queries.
• Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers &

Load balancing setup, and all its administrative functions.

• Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes,

dimensional data, OLAP cubes and various forms of BI content including reports, dashboards,

and analytical models.

• Exposure in Map Reduce components of Talend / Pentaho PDI.
• Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and

maintenance.

• Working knowledge of relational database theory and dimensional database models.
• Creating and deploying Talend / Pentaho custom components is an add-on advantage.
• Nice to have java knowledge.

Skills and Qualification:

• BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject.
• Having an experience of 3+ years.
• Proficiency with Talend or Pentaho Data Integration / Kettle.
• Ability to work independently.
• Ability to handle a team.
• Good written and oral communication skills.

Job Title : Agentic AI Architect

Experience : 5+ Years

Location : Hyderabad (Work From Office)

Employment Type : Contract to Hire

Job Summary :

We are seeking an experienced Agentic AI Architect to design, develop, and deploy enterprise-grade AI solutions.

The ideal candidate should have hands-on expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and modern AI frameworks, with a strong focus on building scalable and production-ready AI applications.

Mandatory Skills :

Generative AI, Agentic AI, Python, LLMs, RAG, Prompt Engineering, LangChain, LlamaIndex, OpenAI, Hugging Face, AWS/Azure/GCP, MLOps/LLMOps, APIs, Microservices.

Key Responsibilities :

• Design and architect scalable enterprise AI solutions using Agentic AI and Generative AI technologies.
• Develop AI applications leveraging Python, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Build and orchestrate AI agents using frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or similar.
• Integrate AI models with enterprise applications using APIs and microservices.
• Deploy, monitor, and optimize AI applications using MLOps/LLMOps best practices.
• Collaborate with cross-functional teams to deliver secure, scalable, and high-performance AI solutions on cloud platforms.

Required Skills :

• 5+ years of experience in AI/ML, software engineering, or enterprise AI solution development.
• Strong hands-on experience with Generative AI, Agentic AI, and Large Language Models (LLMs).
• Proficiency in Python for developing AI-powered applications and intelligent agents.
• Experience implementing Retrieval-Augmented Generation (RAG) pipelines and Prompt Engineering techniques.
• Hands-on expertise with AI frameworks such as LangChain, LlamaIndex, OpenAI, Hugging Face, or equivalent.
• Experience designing and integrating REST APIs and microservices-based architectures.
• Good knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience with MLOps/LLMOps tools for model deployment, monitoring, and lifecycle management.
• Strong understanding of scalable, secure, and production-ready AI solution architecture.
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills :

• Experience with vector databases and AI orchestration frameworks.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of cloud-native architecture and distributed systems.
• Experience working on enterprise AI transformation projects.

Key Responsibilities:

• Design AI-driven solutions for core veterinary workflows, such as patient triaging, diagnostics support, treatment plan suggestions, appointment scheduling, and client communications.
• Develop AI assistants and multi-agent systems to automate routine tasks like SOAP note summarization, clinical documentation (Medical Records), prescription and other reminders, and client follow-ups.
• Implement RAG pipelines leveraging veterinary knowledge bases, clinical case data, Case Summaries and standard care protocols.
• Integrate LLMs into practice management modules for intelligent querying, FAQ automation, and veterinary clinical knowledge support.
• develop and deploy AI services using Azure AI Services, Azure OpenAI, and integrate with Hapivet.ai
• Ensure secure, compliant, and scalable deployment of AI/ML models in line with veterinary data privacy standards and healthcare regulations.
• Collaborate with veterinarians, product managers, and software engineers to ensure AI solutions are clinically relevant, user-friendly, and impactful.

Required Skillset:

Machine Learning & Deep Learning for Healthcare

• Strong foundation in supervised/unsupervised learning, anomaly detection, and predictive analytics applicable to veterinary clinical data.
• Experience with CNNs (for imaging), RNNs/LSTMs (for sequential data like patient histories) and Transformers for natural language tasks.
• Proficiency with TensorFlow, PyTorch, and Hugging Face.
• Good to have understanding on GANs (medical imaging, data privacy-safe synthetic data, or image-based diagnostics)

LLMs & NLP for Veterinary Applications

• Deep understanding of transformer models (GPT, BERT, LLaMA) applied in medical/veterinary text summarization and knowledge extraction.
• Fine-tuning LLMs with techniques with PEFT, LoRA, QLoRA for domain-specific tasks.
• Expertise in Prompt Engineering and Chain of Thought (CoT) design for veterinary use cases.
• RAG pipeline development with veterinary case databases using Pinecone or Azure AI Search.

AI Agent Workflows & Orchestration

• Multi-agent coordination and AI workflow orchestration with LangChain, LangGraph, and Microsoft Autogen SDK.
• Experience with context management using Model Context Protocol (MCP) in clinical task flows.

Cloud AI Deployment & Engineering

• Experience with Azure AI, model serving (Triton, TensorFlow Serving, TorchServe).
• CI/CD for AI models, cloud security, and scalable API integration.

Programming & Data Engineering

• Advanced proficiency in Python, R
• working knowledge of TypeScript.
• Veterinary data processing experience—handling EMRs, patient histories, and diagnostic reports
• Data cleaning, transformation, and ensuring data quality for clinical applications.

Preferred Experience:

• AI/ML deployment in veterinary practice management systems or healthcare applications.
• Understanding of veterinary compliance, data sensitivity, and client confidentiality (e.g., pet health records, veterinary licensing).
• Exposure to veterinary-specific AI applications, such as diagnostic imaging analysis, clinical decision support systems, or client interaction bots.
• Familiarity with DeepSpeed, Megatron-LM, and scaling techniques for LLMs.

Soft Skills & Domain Understanding:

• “Passion for improving pet care and veterinary services through technology”.
• Strong communication skills for collaborating with veterinary professionals.
• Ability to translate clinical workflows into AI-enabled solutions.

Sitecore Developer

Work From Office

Locations: Bangalore, Hyderabad, Noida, Gurgaon

Exp:  4 exp (relevant)

Notice Period: 15 days (Preferred Immediate joiners)

Job Description : 

Responsibilities:

• Develop and maintain automated test scripts using Cypress for web applications.

• Conduct API testing using Postman to ensure the functionality, reliability, and performance of APIs. 

• Collaborate with developers and other stakeholders to identify and resolve defects and issues. 

• Create and execute test plans and test cases for both frontend and backend systems. 

• Design and implement automation frameworks to enhance test coverage and efficiency. 

• Perform load and stress testing to identify performance bottlenecks.

• Analyze and interpret test results, providing detailed reports and recommendations. 

• Stay up-to-date with industry trends and best practices in automation testing.

Requirements:

• Proven experience in automation testing with Cypress.

• Strong knowledge of API testing tools such as Postman.

• Proficiency in scripting languages like JavaScript or Python.

• Familiarity with software QA methodologies, tools, and processes.

• Experience with continuous integration tools like Jenkins.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills

Must Have:

  Automation, Cypress, API, Strong Java or .Net coding, Sql

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

• 4-5 years of overall experience and 2+ years of experience as full stack developer with skills on Python, Javascript and databases.
• Excellent programming skills and hands-on experience in Python, Java Script, HTML, and CSS.
• Experience of working in Data Science domain is an advantage, but not mandatory.
• Ability to positively contribute to a team and willingness to quickly complete large volumes of work with high quality.
• Excellent analytical and critical thinking skills.
• Excellent verbal and written communication skills.
• BE/BTech or MCA Degree or any graduate with desired skills.

• 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
• Experience in implementation, Support, and upgrade projects
• Experience at least in 2 R12.2 upgrade projects.
• Experience in Oracle EBS R12.2.7 or Higher versions of R12.
• Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
• At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
• Excellent verbal and written communication skills