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Company Name: WINIT
Location: Hyderabad
Experience: 0–2 Years
Role Overview
We are looking for a talented AI/ML Trainee to build intelligent automation solutions for Legal Process Outsourcing (LPO). The role involves leveraging Python, SQL, AWS, and Generative AI (LangChain, LLMs, RAG) to automate document-heavy workflows such as contract analysis, data extraction, and legal document processing.
Key Responsibilities
- Develop and deploy AI/ML models for legal document processing and automation.
- Build Python-based pipelines for data processing, automation, and model integration.
- Design and optimize SQL queries for efficient data management and reporting.
- Work with AWS services (S3, Lambda, EC2, Bedrock, etc.) for scalable deployments.
- Develop Generative AI solutions using:
- LangChain
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Implement document intelligence solutions (classification, summarization, entity extraction).
- Integrate AI models into business applications via APIs.
- Collaborate with cross-functional teams to understand automation needs.
- Ensure model performance, scalability, and data security.
Required Skills
- Strong proficiency in Python
- Good knowledge of SQL.
- Understanding of machine learning fundamentals.
- Hands-on or conceptual knowledge of:
- LangChain
- LLMs
- RAG architectures
- Familiarity with AWS cloud platform.
- Basic understanding of NLP / text processing.
About WINIT
For more information, please visit: www.winitsoftware.com
POSITION OVERVIEW
We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.
Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.
KEY RESPONSIBILITIES
- GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
- Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
- Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
- Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
- Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
- Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
- Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.
TECHNICAL QUALIFICATIONS
Core Development & Backend:
• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.
• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.
• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.
Machine Learning & AI Infrastructure:
• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.
• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.
• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).
• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.
CONTRACT & REMOTE REQUIREMENTS
• Contract Engagement: Contractual structure tailored to project milestones and deliverables.
• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.
• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.
• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination.
Advanced SQL, data modeling skills - designing Dimensional Layer, 3NF, denormalized views & semantic layer, Expertise in GCP services
Role & Responsibilities:
● Design and implement robust semantic layers for data systems on Google Cloud Platform (GCP)
● Develop and maintain complex data models, including dimensional models, 3NF structures, and denormalized views
● Write and optimize advanced SQL queries for data extraction, transformation, and analysis
● Utilize GCP services to create scalable and efficient data architectures
● Collaborate with cross-functional teams to translate business requirements(specified in mapping sheets or Legacy
Datastage jobs) into effective data models
● Implement and maintain data warehouses and data lakes on GCP
● Design and optimize ETL/ELT processes for large-scale data integration
● Ensure data quality, consistency, and integrity across all data models and semantic layers
● Develop and maintain documentation for data models, semantic layers, and data flows
● Participate in code reviews and implement best practices for data modeling and database design
● Optimize database performance and query execution on GCP
● Provide technical guidance and mentorship to junior team members
● Stay updated with the latest trends and advancements in data modeling, GCP services, and big data technologies
● Collaborate with data scientists and analysts to enable efficient data access and analysis
● Implement data governance and security measures within the semantic layer and data model
- Candidate should have minimum 2–3 years of post-qualification experience in Ophthalmology practice.
- Candidate must hold a recognized degree in Ophthalmology (MS / DNB / DOMS).
- Candidate must be proficient in performing cataract and other ophthalmic surgeries independently.
- Candidate should have strong patient consultation and communication skills.
- Candidate must be willing to relocate to Jalgaon, Maharashtra.
Position: Backend Engineer
Location: Ascendion office - Kadubeesanahalli, Bengaluru
Work mode: Hybrid (3 days/week)
Experience Range: 6 - 9 years
Key Responsibilities:
Design, develop, and maintain backend applications using Java and Spring Boot
Build high-performance RESTful APIs and microservices
Work with NoSQL databases for scalable data handling
Contribute to cloud-based development and deployments on AWS/Azure
Implement and manage CI/CD pipelines for automated delivery
Collaborate closely with DevOps, QA, and Product teams
Participate in code reviews, debugging, and performance optimization
Ensure clean, maintainable, and well-documented code
Support production and ensure application stability
Required Skills & Qualifications:
Strong hands-on experience in Core Java
Solid experience with Spring Boot and microservices architecture
Working knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.)
Basic exposure to Golang (ability to read/write simple services)
Experience with cloud platforms such as AWS and/or Azure
Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
Good understanding of REST APIs, JSON, and HTTP protocols
Proficiency with version control systems like Git
● Create training curricula and estimate the timeline required to create them.
● Develop material required for training for example outline, handouts,
etc.
● Conduct training sessions for new and current sales personnel.
● Develop new approaches and techniques for making improvements
in training programs.
● Collect feedback from trainees and identify the issues they had
during the process.
● Generate results and measure the performance of trainees after the
session.
● Coordinate with the Sales Manager.
● Maintain and update records of training material.
● Stay up-to-date with the latest market trends and demands of a
corporate sales environment.
● Maintaining required data (onboarding to deployment)
● Collaborate with management to identify company training needs.
● Define and explain KPI and KRA.
● Develop monitoring systems to ensure that all employees are
performing job responsibilities
according to training.
● Train for internal CRM and sales tools.
● Monitor and evaluate the training program’s effectiveness, success and
ROI periodically, prepares a report on them
EXPERIENCE/CHARACTERISTIC
● Experience: 1 or 2 years as a Sales Trainer in the BPO sector
● Candidate should have experience in training new employees and
supporting experienced employees to improve their performance
● Excellent organizational skills
● Solid communication and presentation abilities
Required Skills:
- Proven work experience as an Enterprise / Data / Analytics Architect - Data Platform in HANA XSA, XS, Data Intelligence and SDI
- Can work on new and existing architecture decision in HANA XSA, XS, Data Intelligence and SDI
- Well versed with data architecture principles, software / web application design, API design, UI / UX capabilities, XSA / Cloud foundry architecture
- In-depth understand of database structure (HANA in-memory) principles.
- In-depth understand of ETL solutions and data integration strategy.
- Excellent knowledge of Software and Application design, API, XSA, and microservices concepts
Roles & Responsibilities:
- Advise and ensure compliance of the defined Data Architecture principle.
- Identifies new technologies update and development tools including new release/upgrade/patch as required.
- Analyzes technical risks and advises on risk mitigation strategy.
- Advise and ensures compliance to existing and development required data and reporting standard including naming convention.
The time window is ideally AEST (8 am till 5 pm) which means starting at 3:30 am IST. We understand it can be very early for an SME supporting from India. Hence, we can consider the candidates who can support from at least 7 am IST (earlier is possible).
-
Your responsibilities will include:
- Leading a high-performing team to create and implement strategic marketing initiatives across various marketing functions including performance marketing, events, social media marketing, product marketing and partnerships.
- Creating and implementing the marketing plan in line with overall business objectives while striking a balance between longer-term strategic brand building activities, mid-term lead generation and nurturing, as well as quick wins to achieve targets
- Using data and analytics for decision making and measuring marketing effectiveness as well as creating a culture of structured experimentation and iteration to drive growth
- Building win-win relationships with new and existing partners
- Manage the marketing budget to drive sustainable bottom-line growth
Key Requirements
- You have a degree in Marketing, Business Administration or related field.
- You have prior experience in a similar role with a solid track record of success.
- You have strong experience in Growth Hacking, Social Media/ Viral Marketing, managing demand generation & the customer acquisition funnel and performance marketing.
- You have good knowledge of Campaign Management Tools (eg. Active Campaign), and Web Analytics Tools (eg. Google Analytics).
- You are highly goal driven and work well in fast paced environments.
- You possess strong analytical skills and are comfortable dealing with numerical data.
- You have excellent communication & interpersonal skills.
- You are adept at building relationships and liaising with multiple stakeholders and thrive in matrix environments.
iAdept Marketing is an innovative, established, customer oriented and professional company in the field of condition monitoring of machinery & equipment. We specialize in offering testing instruments and equipment that can efficiently monitor the health of machinery for increasing productivity. Our offerings include supply of testing equipment and instruments, services of analysing/detecting machine defects as well as training our clients in related technologies.
To further accelerate our sales growth, we are looking for enthusiastic & committed Tele Sales Executives to contribute in generating sales for our company. You will be responsible for generating and closing sales deals over the phone and maintaining good customer relationships.
Tele Sales executives with experience of 1 year of more can apply. Any experience in Tele Sales of Engineering / Industrial goods will be an added advantage
The goal is to help the company grow by bringing in customers and developing business.




