Product manager

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

Experience Required: 3-8 Years

No. of vacancies: 2

Job Type: Full Time

Vacancy Role: WFO

Job Description

We are seeking a highly skilled Data Scientist with strong expertise in Computer Vision and Generative AI to join our AI team. The ideal candidate will have hands-on experience developing, fine-tuning, and deploying state-of-the-art vision and diffusion models for real-world applications. You will work on advanced image understanding, segmentation, object detection, depth estimation, image generation, and image editing systems.

Roles & Responsibilities

• Design, train, fine-tune, and deploy computer vision and generative AI models.
• Develop solutions for object detection, segmentation, depth estimation, image inpainting, and virtual staging applications.
• Build and optimize end-to-end pipelines for image understanding and image generation tasks.
• Evaluate model performance using appropriate metrics and implement improvements.
• Create and maintain data annotation, training, validation, and testing workflows.
• Work closely with engineering teams to productionize AI models and services.
• Research and implement the latest advancements in computer vision, diffusion models, and multimodal AI systems.
• Optimize models for inference speed, memory consumption, and scalability.
• Develop robust APIs and model-serving solutions for production environments.
• Document experiments, model architectures, and deployment processes.

Qualifications

• 3+ years of hands-on experience in Machine Learning, Deep Learning, Computer Vision, and Generative AI.
• Proven experience developing, optimizing, and deploying production-grade AI solutions.
• Strong expertise in computer vision models including RF-DETR, DETR variants, YOLO family, Faster R-CNN, Mask2Former, Segment Anything Model (SAM), semantic segmentation, instance segmentation, Depth Anything/Depth Anything V2, and monocular depth estimation.
• Hands-on experience with generative AI and diffusion models such as Stable Diffusion XL (SDXL), ControlNet, image inpainting/outpainting, image-to-image pipelines, LoRA training and fine-tuning, and Hugging Face Diffusers.
• Strong understanding of CNNs, Transformers, Vision Transformers (ViTs), attention mechanisms, and modern deep learning architectures.
• Advanced proficiency in PyTorch, model training, fine-tuning, hyperparameter optimization, and performance evaluation using metrics such as mAP, IoU, Precision, Recall, and F1 Score.
• Strong Python programming skills with experience in FastAPI, Flask, or similar backend frameworks.
• Experience with Docker, containerized deployments, Linux environments, Git, and collaborative development workflows.
• Familiarity with cloud platforms such as AWS, GCP, Azure, or RunPod.
• Experience in dataset preparation, augmentation, annotation, and quality control using tools such as CVAT, Label Studio, Roboflow, or similar platforms.
• Knowledge of multimodal AI systems, vision-language models (VLMs), MLOps practices, CI/CD pipelines, distributed training, and GPU optimization.
• Familiarity with OpenCV, image processing techniques, and synthetic data generation workflows.
• Experience working on projects involving virtual staging, furniture detection and removal, empty room generation, medical image segmentation, industrial inspection systems, depth-aware image editing, real estate AI solutions, or multi-model vision pipelines.
• Strong analytical thinking, problem-solving, research capabilities, and the ability to independently implement emerging AI technologies.
• Excellent communication, collaboration, and technical documentation skills.

Company Description

TNQTech is a publishing technology and services company. Our AI-enabled technology and products deliver content services to some of the largest commercial publishers, prestigious learned societies, associations, and university presses. These services reach millions of authors through our clientele. We are dedicated to advancing publishing technology and providing innovative solutions to our users.

Role Description

This is a full-time on-site role for a Senior Data Scientist - Lead Role located in Chennai. The Senior Data Scientist will lead the data science team, conduct statistical analyses, develop data models, and interpret complex data to provide actionable insights. Additionally, responsibilities include overseeing data analytics projects, creating data visualizations, and ensuring the accuracy and quality of data analysis. Collaboration with cross-functional teams to understand data needs and drive data-driven decision-making is also key.

Qualifications

• Proficiency in Data Science and Data Analysis
• Strong background in Statistics and Data Analytics
• Experience with Data Visualization tools and techniques
• Excellent problem-solving and analytical skills
• Ability to lead and mentor a team of data scientists
• Strong communication and collaboration skills
• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field

• Engage with our clients primarily through email, phone, or our ticketing system
• Understand client needs and tackle problems
• Think creatively about technical issues and find ways to change showstoppers into positive ways forward
• Work closely with internal teams and external partners to deep dive on a customer request or Issue to provider resolution within SLA.
• Manage workflow using our systems to ensure nothing falls to the bottom of the to-do list
• Keep current on product releases and updates
• Share the knowledge among your fellow trouble-shooters and create knowledge articles when necessary
• Support Customers working with Migration teams on Data Migrations to our Platform.
• Work on migrating sensitive customer data from a third-party investment platform or Excel to SyndicationPro with minimal supervision.
• Understand the client’s needs and set up the SyndicationPro platform to meet customer expectations.
  
   

• A passion for solving problems.
• A way with words that makes technical topics easy to understand
• A keen eye for getting to the root cause of an issue
• A love of helping people
• An ability to manage multiple needs and keep them all on track
• A strong ethos towards helping the team win
• Prior experience in SaaS environments
• Experience with MS Office and data programs
• Attention to detail
• Confidentiality

• Experience in writing professional Emails
• Experience in handling a high volume of customer queries
• Must have 1-2 years of prior experience in SAAS environments.
• Must be comfortable working during night shifts.

• Experience into Manual Testing and Automation Testing- Thorough knowledge on Testing Processes, defect metrics, Automation tools like selenium, QTP- Knowledge on Junit, remedy-
• Thorough quality improvement skills, advanced problem solving and analysis skills- Knowledge of various operating systems - Linux, Windows-
• Knowledge of Agile process-
• Excellent verbal and written communication skills with the ability to work effectively on a team and collaboratively across lines of business-
• Work into QA module for multiple products.