
Role Objective:
Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
Roles & Responsibilities:
- Sound knowledge in Spark architecture and distributed computing and Spark streaming.
- Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.
- SFDC(Data modelling experience) would be given preference
- Good understanding in object-oriented concepts and hands on experience on Scala with excellent programming logic and technique.
- Good in functional programming and OOPS concept on Scala
- Good experience in SQL – should be able to write complex queries.
- Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.
- Able to mentor new members for onboarding to the project.
- Understand the client requirement and able to design, develop from scratch and deliver.
- AWS cloud experience would be preferable.
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (preferred)
- Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (preferred)
- Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (preferred)
- Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.
- Managing project timing, client expectations and meeting deadlines.
- Should have played project and team management roles.
- Facilitate meetings within the team on regular basis.
- Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.
- Optimization, maintenance, and support of pipelines.
- Strong analytical and logical skills.
- Ability to comfortably tackling new challenges and learn

About Affine
About
Affine is a pioneering consulting firm that specializes in AI-driven enterprise transformation. With a robust focus on Generative AI, we deliver cutting-edge solutions that redefine industry standards.
Our comprehensive capabilities span the entire analytical value chain, from data to insights and transformation. We provide Cloud Advisory and Assessment, Cloud Migration, Data Lake Design and Development, Big Data Powered Advanced Analytics, AI & Deep Learning Solutions, and Deployment Consulting with Architecture Design.
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JOB DESCRIPTION:
Location: Pune, Mumbai
Mode of Work : 3 days from Office
DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API
- Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
- Implement and integrate APIs using Spring Framework and Apache CXF.
- Build microservices-based architecture for scalable and distributed systems.
- Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
- Optimize performance through efficient multithreading, memory management, and algorithm design.
- Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
- Work with RDBMS (preferably Sybase) for backend data integration.
- Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
- Work in Unix/Linux environments for deployment and troubleshooting.
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.
Role: Teamcenter Lead Developer
Experience: 6+yrs
Location: Bangalore/Hyderabad/Pune/Chennai
Notice Period: Immediate and 15 days only or max Upto 30 days
Key Responsibilities
- Core PLM Support & Expertise
- Manage and support key Teamcenter functionalities including:
- Parts & Components Management
- CAD Data Management & Integration
- BOM Management
- Change Management
- Supplier Collaboration
- Enterprise Data Integration
- Configuration & Customization
- Configure and customize Teamcenter modules to meet evolving business requirements
- Ensure alignment with PLM industry best practices and internal process standards
- Troubleshooting & End-User Support
- Investigate, diagnose, and resolve Teamcenter-related issues
- Deliver Tier 2/3 application support and guidance to end-users and business stakeholders
- Maintain system uptime and performance, ensuring minimal business disruption
- Code Implementation
- Develop and maintain clean, efficient code using Teamcenter-specific technologies such as:
- Java, C++, ITK (Integration Toolkit), SOA frameworks
- Support enhancements and new functionality development
- System Integration
- Collaborate with IT and engineering teams to integrate Teamcenter with ERP, CAD, and other enterprise platforms
- Enable seamless data flow and automation across interconnected systems
- Solution Development
- Design and deliver custom solutions within the Teamcenter platform, including:
- Workflows, UI modifications, reports, and extension modules
- Support ongoing innovation and platform optimization
Qualifications
- Bachelor’s degree in computer science, Engineering, or related technical field preferred
- 6+ years of experience supporting and developing within the Teamcenter PLM ecosystem
- Strong hands-on experience with Java, C++, ITK, and SOA for Teamcenter development
- Solid understanding of PLM best practices and enterprise system integration
- Proven problem-solving skills and the ability to manage technical escalations
Nice to Have
- Experience working in a global engineering or manufacturing environment
- Familiarity with Agile methodologies and DevOps principles
- Knowledge of enterprise systems like SAP, Oracle, or other major ERP platforms
- Minimum 2.5 years of experience as a Python Developer.
- Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
- Minimum 2.5 years of experience in SQL/ Postgress
- Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
- Minimum 2+ years of experience in deployment (CICD with Jenkins)
- Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure
EXPERIENCE: 5 – 12 years
LEVEL: Senior & Lead Software Engineers
JOB LOCATION: EPAM India Locations
Must Have Skills :
1. NET Full stack Developer (.NET, C#, JavaScript, Angular 4 & above, PostgreSQL)
2. Experience in Unit testing
3. Hands on experience with building RESTful Web APIs, micro services
4. Experience in Asynchronous programming
5. Good understanding of Authentication and Authorization models in Web APIs
6. Good at Data structure and Algorithms.
7. Experience with Entity framework.
8. Added advantage: Experience in Azure
Lead Generation via Email and linked campaigns and track them and follow up them
Tools Experience: Email Marketing – MailChimp, Send Grid.
Manage and build overall email, linked marketing strategy
Create various email, & linked lists and campaigns
Create and design various CTAs and email templates
Test every campaigns success
Determine email marketing KPIs
Develop and present reports on a weekly basis
Create smart email lists
Suggest methods for Improvements
Segment lists based on behaviors like past email engagement & Develop documentation and
road maps for processes.
DOMAIN: NEED PROFILES WHO ARE DOING LEAD GENERATION FOR IT STAFFING
/CONTRACT STAFFING/ RESOURCE AUGMENTATION
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1 |
Good Knowledge about utilization of BIM format in implementation of the Architecture model |
|
2 |
Working Knowledge of Structural & Architectural services modelling for larger and complex International projects. |
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3 |
Working Knowledge of coordinating, raising RFIs and submitting the final models with good presentation as per the demand. |
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4 |
Excellent Teamwork, Coordination ability with good communication. |
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5 |
Ability to generate various Architectural layouts, sections, elevations and details |
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6 |
Modelling the project understanding the LOD with tolerance |
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7 |
Strong knowledge in Building Architecture Domain |
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8 |
Works with Project Lead and project engineers to communicate, problem solve, and update models for coordination and design issues. |
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9 |
Develops accurate 2D & 3D drawings from project BIMs, including sheet management tasks, annotations, dimensions, notes and all visibility settings. |
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10 |
Knowledge of relevant industry standards and codes and the ability to prepare a full DA or CD submission understanding BCA and relevent Australian Standards |
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11 |
Quality of Drafting, Presnetation skills and technically sound |
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12 |
Performs both routine and non-routine, complex drafting assignments that require judgment in resolving issues or making recommendations. |
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13 |
Collaborates and communicates with other disciplines regarding coordination issues and common model development tasks. |
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14 |
Excellent REVIT skills in Modelling, Detailing and content creations |
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15 |
Ability to produce the work First Time Right & Time Management |









