11+ TIBCO BusinessWorks Jobs in Pune | TIBCO BusinessWorks Job openings in Pune

We are looking for passionate TIBCO BW developer, would like to;

●Play an important role in our agile software development team

●Use new technologies and solve thrilling development tasks

●Write clean and reusable code with page performance in mind

●Deliver rich, engaging and unmatched user experience

●Continuously update and expand the existing product

Skills & Requirements:

Below is a list of preferred requirements. Bear in mind that we always favor talent, energy, and a history of being a “top performer” over any specific skill set.

●BTech/MS in Computer Science or related fields or extensive software development experience

●Should have 2- 6 experience in Tibco Business Works

●Must be hands on with TIBCO Business Works5.x along with TIBCO Administrator, TIBCO EMS, FTP, SFTP Pallets, XML technologies (XML, WSDL, XSD), Web Services (SOAP over JMS), Rest Services

●Work experience on TIBCO Business Works6.x, TIBCO ADB/File Adapters would be an added advantage

●Should be able to work with business stake holders and understand the business requirements and able to create necessary TIBCO integration interface

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Responsibilities:

● Design and build scalable APIs and microservices in Node.js (or equivalent backend frameworks).

● Develop and optimize high-performance systems handling large-scale data and concurrent users.

● Ensure system security, reliability, and fault tolerance.

● Collaborate closely with product managers, designers, and frontend engineers for seamless delivery.

● Write clean, maintainable, and well-documented code with a focus on best practices.

● Contribute to architectural decisions, technology choices, and overall system design.

● Monitor, debug, and continuously improve backend performance.

● Stay updated with modern backend technologies and bring innovation into the product.

Desired Qualifications & Skillset:

● 2+ years of professional backend development experience.

● Proficiency with Node.js, Express.js, or similar frameworks.

● Strong knowledge of web application architecture, databases (SQL/NoSQL), and caching strategies.

● Experience with cloud platforms (AWS/GCP/Azure), CI/CD pipelines, and containerization (Docker/Kubernetes) is a plus.

● Ability to break down complex problems into scalable solutions.

● Strong logical aptitude, quick learning ability, and a proactive mindset

Avegen is a digital healthcare company empowering individuals to take control of their health and supporting healthcare professionals in delivering life-changing care.

Avegen's health management platform is being used by healthcare providers in the U.K. and India to take care delivery beyond the four walls of the hospital/clinic, ensuring that patients have access to personalized care. The platform enables better patient management leading to improved outcomes.

Responsibilities, Skills:

• Own
• Take the deliverable through lifecycle (Spec review, Test design, Test execution and defect reporting, Segregation tests in smoke, sanity, regression, Customer Issue reproduction, test case addition/update, automation to build regression suite for Customer reported issues
• Help with issue reproduction and debugging
• Keeping required documentation up to date for compliance for every deliverable

• Perform under guidance
• Review requirements, specifications and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Track quality assurance metrics and QMS compliance
• Automate smoke, sanity and regression suite for backlog
• Expected to take initiative
• Stay up-to-date with new testing and test automation tools and test strategies
• Contribute to SDLC discussion and tweak processes to Avegen specific needs including waterfall, agile, hybrid, etc.

Educational Qualifications:

● Bachelor’s Degree in Engineering

● Additional business degree/Certification in Agile or Scrum preferred

Good to have ISTQB certification

Selected candidate's day-to-day responsibilities include:

1. Working on Photoshop, Illustrator, and Figma

2. Designing infographics, posters, carousels, and journals

3. Create compelling, error-free content aligned with brand guidelines

4. Designing and creating visual assets

5. Assisting in creating graphics, illustrations, and layouts

6. Developing materials for marketing, social media, and websites

7. Staying updated with design trends

8. Researching and referencing before every project

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Job location: Mumbai/Pune/Bangalore/Noida/Chennai/Hyderabad 

Experience- 3 to 10 years 

Skill: Oracle EBS SCM Functional 

NP – Immediate to 30 days max   

•       Mandatory Modules: Inventory, Purchase Order, Order Management. 

•       Skill: Oracle Supply Chain Management Functional Consultant 

•       Hands-on experience in Oracle SCM 11i & R12 with good English (Written + Verbal) communication skills, team player, ready to travel / relocate & available at short notice. 

•       Should have extensively worked on Oracle EBS Support/implementation/upgrade Projects should be aware of the solution design, documentation, and AIM/OUM methodology. 

•       Expertise in Modules OM, Purchasing, Inventory.  

•       Industry experience in Supply Chain Industry will be an added advantage. 

•       Ready to work in Shifts by rotation if required. 

JOB  Description

1. Minimum 5 years of development experience with any full stack framework (except Java based)
2. Experience in designing effective data structures and algorithms
3. Experience with sql and no-sql databases and designs
4. In-depth understanding of javascript concepts and one front-end framework
5. Experience with version control and project management tools
6. Experience in developing and consuming REST web services.
7. excellent oral and written communication (english + 1 local language)
8. analytical and problem-solving skills
9. familiarity with any cloud service provider - aws/digital ocean/azure

Roles and Responsibilities

1. requirement gathering and proving
2. feasibility analysis
3. estimations & planning
4. prepare and maintain relevant documentation
5. coding, debugging, testing
6. benchmarking and performance upkeep
7. deployment & maintenance

Signs you would be a good fit

1. you enjoy crafting elegant, well-tested solutions, not just delivering working code
2. you have logical and well-researched opinions on existing and new technologies, and relish the learnings and challenges of working on different platforms and products
3. you have an entrepreneurial mindset
4. you are a quick learner with proven reasoning skills
5. you explore beyond your resume

About Eloquent Studio Pvt Ltd

Team of 1-10 people

Located in Pune, Maharashtra, India