Full-Stack Developer - Job Description Position Overview We're seeking a talented Full-Stack Developer to join our growing team. This role offers the opportunity to work on challenging projects using modern ai technologies while contributing to meaningful solutions that impact our users directly. About the Role As a Full-Stack Developer, you'll be responsible for building and maintaining web applications from front-end user interfaces to back-end services and databases. You'll work in a collaborative environment where learning, growth, and taking ownership are highly valued. Key Responsibilities Technical Development Design and implement user-facing web applications using modern frontend frameworks Develop robust backend services and APIs using Python Design and optimize database schemas and queries Write clean, maintainable, and well-tested code Participate in code reviews and technical discussions Troubleshoot and debug applications across the full stack Collaboration & Growth Work closely with product teams to understand requirements and deliver solutions Take ownership of features from conception to deployment Continuously learn new technologies and best practices Mentor junior developers and share knowledge with the team Contribute to technical decision-making and architecture discussions Required Qualifications Technical Skills (Hard Requirements) Python: Minimum 1 year of professional experience with Python development Frontend Framework: Minimum 1 year of experience with at least one of - Angular / React / Vue.js / Next.js Database Management: Minimum 1 year of experience with at least one of - PostgreSQL / MySQL / MongoDB Essential Qualities Fast Learner: Ability to quickly adapt to new technologies and methodologies High Intelligence: Strong problem-solving skills and analytical thinking Work Ethics: Reliable, punctual, and committed to delivering quality work Trustworthy: Honest communication and dependable execution of responsibilities Ownership Mindset: Takes initiative and responsibility for outcomes and solutions Preferred Qualifications Technical Experience Experience with modern development practices (CI/CD, testing, version control) Understanding of RESTful API design and microservices architecture Experience with containerization (Docker, Kubernetes) Familiarity with modern build tools and package managers Soft Skills Strong communication skills Experience working in Agile/Scrum environments Ability to work independently and in team settings Customer-focused mindset What We Offer Professional Development Continuous learning opportunities Access to latest tools and technologies Conference attendance and training budget Mentorship and career growth paths Work Environment Collaborative and supportive team culture Modern development tools and infrastructure Flexible working arrangements Regular team building and knowledge sharing sessions We're an equal opportunity employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who meet the core requirements. ------ If you've read this complete job description, congratulations! You're among the rare candidates who take the time to thoroughly review the entire posting. During the application process, you'll encounter the question '10+5 ='. Please respond with '105' to receive priority consideration for this role. ------ Ready to take ownership of exciting challenges and grow with a dynamic team? We'd love to hear from you!
Full-Stack Developer - Job Description Position Overview We're seeking a talented Full-Stack Developer to join our growing team. This role offers the opportunity to work on challenging projects using modern ai technologies while contributing to meaningful solutions that impact our users directly. About the Role As a Full-Stack Developer, you'll be responsible for building and maintaining web applications from front-end user interfaces to back-end services and databases. You'll work in a collaborative environment where learning, growth, and taking ownership are highly valued. Key Responsibilities Technical Development Design and implement user-facing web applications using modern frontend frameworks Develop robust backend services and APIs using Python Design and optimize database schemas and queries Write clean, maintainable, and well-tested code Participate in code reviews and technical discussions Troubleshoot and debug applications across the full stack Collaboration & Growth Work closely with product teams to understand requirements and deliver solutions Take ownership of features from conception to deployment Continuously learn new technologies and best practices Mentor junior developers and share knowledge with the team Contribute to technical decision-making and architecture discussions Required Qualifications Technical Skills (Hard Requirements) Python: Minimum 1 year of professional experience with Python development Frontend Framework: Minimum 1 year of experience with at least one of - Angular / React / Vue.js / Next.js Database Management: Minimum 1 year of experience with at least one of - PostgreSQL / MySQL / MongoDB Essential Qualities Fast Learner: Ability to quickly adapt to new technologies and methodologies High Intelligence: Strong problem-solving skills and analytical thinking Work Ethics: Reliable, punctual, and committed to delivering quality work Trustworthy: Honest communication and dependable execution of responsibilities Ownership Mindset: Takes initiative and responsibility for outcomes and solutions Preferred Qualifications Technical Experience Experience with modern development practices (CI/CD, testing, version control) Understanding of RESTful API design and microservices architecture Experience with containerization (Docker, Kubernetes) Familiarity with modern build tools and package managers Soft Skills Strong communication skills Experience working in Agile/Scrum environments Ability to work independently and in team settings Customer-focused mindset What We Offer Professional Development Continuous learning opportunities Access to latest tools and technologies Conference attendance and training budget Mentorship and career growth paths Work Environment Collaborative and supportive team culture Modern development tools and infrastructure Flexible working arrangements Regular team building and knowledge sharing sessions We're an equal opportunity employer committed to building a diverse and inclusive team. We encourage applications from candidates of all backgrounds and experience levels who meet the core requirements. ------ If you've read this complete job description, congratulations! You're among the rare candidates who take the time to thoroughly review the entire posting. During the application process, you'll encounter the question '10+5 ='. Please respond with '105' to receive priority consideration for this role. ------ Ready to take ownership of exciting challenges and grow with a dynamic team? We'd love to hear from you!
Role : Machine Learning Engineer / Researcher Location: In Person 5 days in Bangalore office. (Whitfield) Apply using : https://hello.clr3.org/4f49f149e32200cbc6ad We are looking for a Machine Learning Engineer who can take ambiguous, real-world problems and build scalable, production-grade ML systems end-to-end —from problem formulation and data pipelines to model deployment and monitoring. You’ll work on blockchain intelligence and quantitative ML systems , including transaction graph modeling, behavioral pattern detection, anomaly detection, and predictive systems on large-scale, high-velocity datasets. This role sits at the intersection of ML modeling, data engineering, and production systems . This is not a “train-a-model-and-move-on” role. You’ll be responsible for shipping ML that runs reliably in production , improving it over time, and ensuring it drives real business decisions. Prior blockchain or finance experience is helpful but not required—we value strong ML engineering fundamentals and the ability to learn new domains quickly. As an early ML hire, you’ll have outsized ownership and influence over our ML stack, architecture, and best practices. What We Offer Outcome-linked bonuses — your models power real decisions, and success is rewarded Growth upside — build foundational ML systems with long-term impact Fast career progression — own core ML infrastructure and systems as the team scales Production impact — models you build will be deployed and actively used High autonomy — freedom to design, experiment, and ship, with strong engineering support Key Responsibilities Own ML systems end-to-end — data ingestion, feature engineering, model training, deployment, and monitoring Design and implement ML pipelines for behavioral modeling, graph-based learning, time-series prediction, and anomaly detection Build scalable, maintainable, and reliable ML services that run in production Work with large-scale and streaming data (transaction graphs, behavioral signals, real-time feeds) Translate research ideas and prototypes into production-ready ML systems Collaborate closely with backend, data, and quant teams to integrate ML into core products Implement proper evaluation, monitoring, retraining, and drift detection strategies Optimize models for performance, latency, and cost in real-world environments Maintain clear documentation for models, pipelines, and system design Required Qualifications 2+ years of hands-on ML engineering experience (industry, startups, internships, or applied research) Strong foundations in machine learning — understanding model behavior, trade-offs, and failure modes Solid experience with supervised/unsupervised learning , deep learning (GNNs, transformers, sequence models), and classical ML Strong Python skills and experience with PyTorch (TensorFlow/JAX acceptable) Experience building data pipelines, feature stores, or training workflows Familiarity with model evaluation, validation, and preventing data leakage Experience working with messy, real-world data at scale Ability to independently own and deliver ML projects with minimal hand-holding Strong fundamentals in probability, statistics, and linear algebra Preferred Qualifications (Nice to Have) Experience with graph ML / GNNs or large-scale network analysis Time-series or sequence modeling experience Exposure to blockchain analytics, DeFi, or financial data Experience with distributed systems (Spark, Ray, Kafka, etc.) Familiarity with real-time inference , streaming ML, or low-latency systems Experience with model monitoring, drift detection, or MLOps tooling Contributions to open-source ML projects or production ML platforms Who You Are A builder first — you care about ML that runs in production and delivers value Strong in first-principles thinking — you understand why systems work, not just how to use them Comfortable operating in ambiguity — you can define the problem and engineer the solution Pragmatic — you balance model sophistication with reliability and scalability Ownership-driven — you take responsibility for outcomes, not just code Curious and fast-learning — you can ramp up quickly in new technical domains Growth-minded — excited to help shape the ML culture, stack, and team Job Type: Full-time Pay: ₹400,000.00 - ₹1,200,000.00 per year Work Location: In person