Technical Architect - Machine Learning

What You’ll Do

• Build & tune models: embeddings, transformers, retrieval pipelines, evaluation frameworks.
• Architect Python services (FastAPI/Flask) to embed ML/LLM workflows end-to-end.
• Translate AI research into production features for data extraction, document reasoning, and risk analytics.
• Own the full user flow: back-end → front-end (React/TS) → CI/CD on Azure & Docker.
• Leverage AI coding tools (Copilot, Cursor, Jules) to meet our 1 dev = 4 devs productivity bar.

Core Tech Stack:

• Primary:

Python · FastAPI/Flask · Pandas · SQL/NoSQL · Hugging Face · LangChain/RAG · REST/GraphQL · Azure · Docker

• Bonus:

React.js · Vector Databases · Kubernetes

You Bring:

• Proven track record shipping Python features and training/serving ML or LLM models.
• Comfort reading research papers/blogs, prototyping ideas, and measuring model performance.
• 360° product mindset: tests, reviews, secure code, quick iterations.
• Strong ownership and output focus — impact beats years of experience.

Why Join Intain?

• Small, expert team where your code and models hit production fast.
• Work on real-world AI problems powering billions in structured-finance transactions.
• Compensation & ESOPs tied directly to the value you ship.

📍 About Us

Intain is transforming structured finance using AI — from data ingestion to risk analytics. Our platform, powered by IntainAI and Ida, helps institutions manage and scale transactions seamlessly.

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data.

Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”.

If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives.

If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data—let’s talk!

Job Summary

Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. An engineer playing a senior role in a team is technically responsible for particular feature delivery, which consists of:

• Presenting a solution to Architects
• Technically driving feature delivery, making decisions, development leadership – distributing tasks across one or two regular engineers
• Working with QA to review testing approaches, providing all details needed for testing, and reviewing test plans
• Being responsible for all internal feature documentation

Job Duties and Responsibilities

• Integrate backend services with AI agents and LLM-powered toolchains
• Work closely with AI/ML teams to expose and support autonomous workflows through APIs
• Develop event-driven and asynchronous services for real-time agentic interactions
• Support integration of AI agents with business logic, databases, external APIs, and messaging systems
• Maintain API security, authentication, and data privacy standards
• Stay up to date on emerging agentic AI trends and suggest practical applications within the backend stack

Skills You Must Have

• Experience integrating with AI microservices, APIs, or agent frameworks
• Basic knowledge of Python will be a plus
• Previous work in a cross-functional environment combining backend and AI components
• Understanding of prompt engineering, embeddings, or semantic search is a plus
• Exposure to agentic AI systems and tools like LangChain will be a plus
• Familiarity with graph-based memory systems, context-aware workflows, or reasoning engines
• Basic understanding of MCP protocol

Skills That Are Nice to Have

• Experience working with NoSQL databases like Cassandra, and queue services like SQS
• Experience in cloud security principles
• Experience with Kubernetes
• Experience with big data technologies
• Experience in driving customer focus for SaaS products is a big plus

Why Join Reltio?

Health & Wellness:

• Comprehensive Group medical insurance (includes parents) with additional top-up options
• Accidental Insurance
• Life Insurance
• Free unlimited online doctor consultations
• Employee Assistance Program (EAP)

Work-Life Balance:

• 36 annual leaves (18 sick + 18 earned)
• 26 weeks maternity leave, 15 days paternity leave
• 1 week additional off every year globally (Recharge Week)

Support for Home Office Setup:

• Home office setup allowance

Stay Connected, Work Flexibly:

• Mobile & internet reimbursement
• Free meal coverage
• And many more…

🚀 Were Hiring: Staff Engineer – Computer Vision & Machine Learning 🚀

📍 Location: Gurugram

💼 Experience: 7-10 Years

About the Role

We are seeking a passionate Computer Vision and Machine Learning expert to develop advanced solutions in medical imaging. If you’re excited about challenges like image segmentation, object detection, and 3D reconstruction, let’s connect!

Mandatory Technical Skills:

✅ Programming Languages: Proficiency in C++, Python, and C#.

✅ Computer Vision Expertise: Experience with OpenCV for tasks such as:

• Image Segmentation
• Object Detection
• Pattern Recognition
• 3D Reconstruction
• ✅ ML/DL Frameworks: Proficiency in TensorFlow, PyTorch; hands-on experience with models like YOLO, U-Net, ResNet, VGG.
• ✅ Image Processing: Strong understanding of:
• Color-space transformations
• Histogram/Contrast enhancement
• Morphology and frequency domain filtering
• ✅ Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, Ultrasound.
• ✅ Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills.

Additional Preferred Skills:

🔹 Advanced C++ (STL, multithreading, design patterns).

🔹 Python libraries: Numpy, Pandas, Scikit-learn.

🔹 Knowledge of tools like VTK, ITK, or MITK.

🔹 Understanding of healthcare regulations (e.g., FDA, CE).

Why This Role?

You’ll build cutting-edge Computer Vision and Machine Learning solutions for healthcare, making a meaningful impact on lives.

MLSecured(https://www.mlsecured.com/) an AI GRC (Governance, Risk, and Compliance) is Hiring! a Backend Software Engineer 🚀

Are you a passionate Backend Software Engineer with experience in Machine Learning and Open Source projects? Do you have a strong foundation in Python and Object-Oriented Programming (OOP) concepts? Join us at MLSecured.com and be part of our mission to solve AI Security & Compliance challenges! 🔐🤖

What We’re Looking For:

👨‍💻 1-2 years of professional experience in Backend Development and Open Source projects contribution

🐍 Proficiency in Python and OOP concepts

🤝 Experience with Machine Learning (NLP, GenAI)

🤝 Experience with CI/CD and cloud infra is a plus

💡 A passion for solving complex AI Security & Compliance problems

Why Join Us?

At MLSecured.com, you'll work with a talented team dedicated to pioneering AI security solutions. Be a part of our journey to make AI systems secure and compliant for everyone. 🌟

Perks of Joining a Fast-Paced Startup:

🚀 Rapid career growth and learning opportunities

🌍 Work on cutting-edge AI technologies and innovative projects

🤝 Collaborative and dynamic work environment

🎉 Flexible working hours and full remote work options

📈 Significant impact on the company's direction and success

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)

You will be responsible for:

• Building Python scripts to deploy our AI components into pipeline and production
• Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
• Managing our daily pipeline on both on-premise servers and AWS
• Working closely with the AI engineering, backend and frontend teams

You should have the following qualities:

• Deep expertise in Python including:
• Multiprocessing / multithreaded applications
• Class-based inheritance and modules
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
• Optimal multithreading / multiprocessing strategies
• Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
• Experience in creating soft real-time processing tasks is a plus
• Expertise in Docker-based virtualization including:
• Creating & maintaining custom Docker images
• Deployment of Docker images on cloud and on-premise services
• Experience with maintaining cloud applications in AWS environments
• Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
• Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
• Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
• Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused