Python
PostgreSQL
Machine Learning (ML)Full-Stack Machine Learning Engineer
Role: Full-Time, Long-Term Required: Python Preferred: C++
OVERVIEW
We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.
The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.
CORE TECHNICAL REQUIREMENTS
Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.
Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.
Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.
You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.
Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.
C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.
HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION
We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.
DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO
Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.
ENGINEERING STANDARDS
Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.
Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.
Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.
WHAT WE ARE LOOKING FOR
Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.
Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.
Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.
Communication: You explain complex concepts clearly and document your reasoning.
EDUCATION
University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.
Shubham Vishwakarma
Full Stack Developer - Averlon
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We are looking for a skilled Senior Backend Engineer to join our team. The ideal candidate will have a strong foundation in Java and Spring, with proven experience in building scalable microservices and backend systems. This role also requires familiarity with automation tools, Python development, and working knowledge of AI technologies.
Responsibilities:
- Design, develop, and maintain backend services and microservices.
- Build and integrate RESTful APIs across distributed systems.
- Ensure performance, scalability, and reliability of backend systems.
- Collaborate with cross-functional teams and participate in agile development.
- Deploy and maintain applications on AWS cloud infrastructure.
- Contribute to automation initiatives and AI/ML feature integration.
- Write clean, testable, and maintainable code following best practices.
- Participate in code reviews and technical discussions.
Required Skills:
- 4+ years of backend development experience.
- Strong proficiency in Java and Spring/Spring Boot frameworks.
- Solid understanding of microservices architecture.
- Experience with REST APIs, CI/CD, and debugging complex systems.
- Proficient in AWS services such as EC2, Lambda, S3.
- Strong analytical and problem-solving skills.
- Excellent communication in English (written and verbal).
Good to Have:
- Experience with automation tools like Workato or similar.
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- Familiarity with AI/ML features or API integrations.
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C++Machine Learning (ML)
Deep Learning
🚀 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.
.NET
DjangoPythonYour responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
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What we are looking for:
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- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Requests, sklearn, Selenium
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good Humor
Machine Learning (ML)Deep LearningPythonShould be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.
KEY RESPONSIBILITIES OF THE POSITION :
- Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
- Solid understanding and experience of deep learning architectures and algorithms
- Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
- Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
- Should have experience of 2-3 production implementations of machine learning projects.
- Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
- Work with business analysts/consultants and other necessary teams to create a strong solution
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- Should be able to train and build a team of technical developers
- Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
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Keywords:
- Python
- Artificial Intelligence
- Machine Learning
- AWS
- Django
- NLP
PythonDjangoAmazon Web Services (AWS)PostgreSQL- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
Machine Learning (ML)Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
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Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
PythonDjango
Docker
React.jsJob Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
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Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
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9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS
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- Must have experience on writing Nunit test cases
- Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
- Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
- Should have good experience of creating designs & design patterns.
- Lead and Mentor the team technically
JavascriptPythonAmazon Web Services (AWS)Machine Learning (ML)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon