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
About Capital Squared
About
Company social profiles
Similar jobs
Machine Learning (ML)
Azure Chatbot Developer
Location :Bangalore / Mumbai / Pune
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
i) Knowledge of Python and NodeJS is a plus
j) Ability to design and optimize SQL Server 2008 stored procedures.
k) Experience with JQuery, CSS3, HTML5 or similar technologies.
l) Ability to adapt quickly to an existing, complex environment.
Python
MongoDBPostgreSQL
Elastic SearchWe are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer.
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.
Machine Learning (ML)Job Description – Machine Learning Expert
Role: Machine Learning Expert
Experience: 6+ Years
Location: Bangalore
Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)
Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home
Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location
About the Role
We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.
Key Responsibilities
- Develop and implement machine learning and deep learning models for real-world business use cases.
- Perform data cleaning, preprocessing, feature engineering, and model optimization.
- Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
- Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
- Deploy ML models to production environments and monitor performance for scalability and accuracy.
- Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
Required Skills & Qualifications
- B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
- 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
- Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
- Solid foundation in mathematics, statistics, algorithms, and probability.
- Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
- Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
- Familiarity with MLOps tools and practices for lifecycle management.
- Excellent problem-solving skills and the ability to work in a collaborative environment.
Preferred Skills (Good to Have)
- Experience with Big Data frameworks (Hadoop, Spark).
- Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
- Contributions to open-source projects, publications, or patents in AI/ML.
Work Mode & Interview Process
- Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
- Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.
Machine Learning (ML)
Deep LearningPythonWe're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!
Make Sure before Applying (GitHub Profile Required):
1. Your GitHub must include:
- At least one substantial ML/DL project with documented results
- Code demonstrating PyTorch/TensorFlow implementation skills
- Clear documentation and experiment tracking
- Bonus: Contributions to ML open-source projects
2. Pin your best projects that showcase:
- LLM fine-tuning and evaluation
- Data preprocessing pipelines
- Model training and optimization
- Practical applications of AI/ML
Technical Requirements:
- Solid understanding of deep learning fundamentals
- Python + PyTorch/TensorFlow expertise
- Experience with Hugging Face transformers
- Hands-on with large dataset processing
- NLP/Computer Vision project experience
Education:
- Completed/Pursuing Bachelor's in Computer Science or related field
- Strong foundation in ML theory and practice
Apply if:
- You have done projects using GenAI, Machine Learning, Deep Learning.
- You must have strong Python coding experience.
- Someone who is available immediately to start with us in the office(Hyderabad).
- Someone who has the hunger to learn something new always and aims to step up at a high pace.
We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!
Python
Django
FlaskMachine Learning (ML)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
PythonMachine Learning (ML)Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
PythonDjangoMachine Learning (ML)Positions : 2-3
CTC Offering : 40,000 to 55,000/month
Job Location: Remote for 6-12 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
Minimum 1.5 to 2 years of experience in Web & Backend Development using Python and Django 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 and DRF
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. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
8. Hands on experience with RDBMS such as Postgres or MySQL
9. Comfort with Git repositories, branching and deployment using Git
10. Working experience with Docker
11. Basic working knowledge of ReactJs
12. 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
Machine Learning (ML)
JavaPython
Javascript
Amazon Web Services (AWS)Java
.NETAmazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon