Course reimbursements

Annual health checkup

Annual leaves

Free meal

Health insurance

Rewards & recognition

Paternity leaves

WFH setup

Car lease

Stock options

Relocation bonus

Job/Soft skill training

Joining goodies

Maternity leaves

Gifts on festivals

Branch International Reviews by Employees

Responsibilities : - Credit Decisions : Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers. - Customer Service : Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team. - Fraud Prevention : Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors. - Team work : Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground. Qualifications : - 2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred. - Excellent software engineering and programming skills, especially Python and SQL. - A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions. - A deep understanding of using cloud computing infrastructure and data pipelines in production. - Self motivation : You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done. - Team motivation : You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher. - The drive to make a positive impact on customers' lives. Benefits of Joining : - Mission-driven, fast-paced, and entrepreneurial environment - Competitive salary and equity package - A collaborative and flat company culture - Fully-paid Group Medical Insurance and Personal Accidental Insurance - Unlimited paid time off, including personal leave, bereavement leave, and sick leave - Fully paid parental leave - 6 months maternity leave and 3 months paternity leave - Monthly WFH stipend alongside a one-time home office set-up budget - $500 Annual professional development budget - Team meals and social events - Virtual and In-person Were looking for more than just qualifications - if youre unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply! Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.

Anywhere in India/Multiple Locations

Machine Learning Engineer - SQL/Python (2-7 yrs)

What You'll Do : - Team Leadership & Growth : You will recruit, grow, and empower a team of driven engineers who have high expectations around ownership, impact, and technical excellence. - Culture Building : You will help build a culture of collaboration that embodies our values : Passionate about our customers, Fearless in the face of barriers, and Driven by data. - Technical Strategy : Collaborating with your team, you will craft a thoughtful, long-term technical strategy that anticipates future needs while being pragmatic about what's needed today. - Hands-on Contribution & Mentorship : You will be a hands-on technical contributor and mentor for your team. You're not afraid to roll up your sleeves and do actual technical work when appropriate, guiding your team through complex technical challenges. - Goal Setting & Direction : You will work with other engineering managers and functional leads to set direction and ambitious goals for your team, Engineering, and Branch as a whole. - Project Oversight : Oversee the successful delivery of software projects, ensuring high quality, performance, and adherence to timelines. - Process Improvement : Drive continuous improvement in engineering processes, tools, and methodologies to enhance efficiency and productivity. Technical Skills & Expertise : - Programming Languages : Strong proficiency in at least one or more modern backend programming languages such as Python, Go, Java, or Node.js. - Software Architecture & Design : Deep understanding and practical experience with designing and building highly scalable, distributed systems and microservices architectures. - Cloud Platforms : Hands-on experience with major cloud providers (AWS, GCP, or Azure), including understanding of compute, storage, networking, and managed services. - Databases : Experience with both relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, Redis). - API Design : Expertise in designing and implementing robust RESTful APIs. - DevOps & CI/CD : Strong understanding of DevOps principles, continuous integration/continuous delivery (CI/CD) pipelines, and experience with tools like Docker and Kubernetes. - System Scalability & Performance : Proven ability to design for and troubleshoot high-performance, high-availability systems, including performance tuning and optimization. - Data Processing : Familiarity with data processing concepts and technologies (e.g., message queues like Kafka, data pipelines). - Security Best Practices : Knowledge of secure coding practices and common security vulnerabilities in web applications. - Problem Solving : Exceptional analytical and problem-solving skills, with the ability to debug complex issues across distributed systems. Qualifications : - Experience : 10+ years of engineering management experience, preferably in either an established technology firm or a fast-growth startup. - Technical Background : Significant experience as a software engineer (typically 6+ years prior to management), ideally across organizations, industries, and technology stacks. - Mentorship : A strong record of mentorship and helping others in their career growth. - Recruiting & Team Growth : Experience and excitement for recruiting, combined with a thoughtful approach to team growth and talent acquisition. - Communication : Excellent communication, interpersonal, and collaboration skills, with the ability to articulate technical concepts and strategic vision effectively. - Leadership : Proven ability to lead, inspire, and motivate engineering teams. - Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Benefits of Joining : - Mission-driven, fast-paced, and entrepreneurial environment. - Competitive salary and equity package. - A collaborative and flat company culture. - Fully-paid Group Medical Insurance and Personal Accidental Insurance. - Unlimited paid time off including personal leave, bereavement leave, sick leave. - Fully paid parental leave - 6 months maternity leave and 3 months paternity leave. - Monthly WFH stipend alongside a one-time home office set-up budget. - $500 Annual professional development budget. - Discretionary trips to our offices across the globe, with global travel medical insurance. - Team meals and social events - Virtual and In-person.

Remote

Branch - Engineering Manager (10-15 yrs)

What You'll Do : - ML System Development : Design, develop, and implement end-to-end machine learning systems and pipelines, including data ingestion, feature engineering, model training, inference, and serving. - Production Deployment : Take ownership of deploying, monitoring, and maintaining ML models in production environments, ensuring high availability, performance, and reliability. - Code & Architecture : Write clean, efficient, and well-tested code in Python (or other relevant languages) and contribute to the architectural design of ML platforms and services. - Collaboration : Work closely with Data Scientists to understand model requirements, integrate models into production systems, and provide feedback on model performance and deployability. - Data Pipelining : Develop and optimize data pipelines to feed data into ML models efficiently. - Performance Optimization : Identify and resolve performance bottlenecks in ML inference and training systems. - Tooling & Infrastructure : Contribute to building and improving MLOps tools, infrastructure, and automation to streamline the ML lifecycle. - Monitoring & Alerting : Implement robust monitoring, logging, and alerting for production ML models to detect and respond to issues proactively. - Research & Innovation : Stay updated with the latest advancements in Machine Learning, MLOps, and related technologies, contributing to internal knowledge sharing and innovation. Required Skills & Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related quantitative field. - Experience : 3-8 years of professional experience in software development, with at least 2-3 years specifically focused on building and deploying Machine Learning systems in production. - Programming Language : Strong proficiency in Python is essential. Experience with other languages like Java, Scala, or Go is a plus. - Machine Learning Frameworks : Hands-on experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn). - ML Concepts : Solid understanding of core machine learning concepts, algorithms (e.g., supervised, unsupervised, reinforcement learning), model evaluation, and common pitfalls. - Software Engineering Principles : Strong grasp of software engineering best practices, including object-oriented design, data structures, algorithms, modular programming, and unit testing. - Data Pipelines : Experience with data processing technologies and building robust data pipelines (e.g., Apache Spark, Pandas, SQL, Kafka, Airflow). - Cloud Platforms : Experience deploying and managing ML workloads on cloud platforms (e.g., AWS Sagemaker, Google Cloud AI Platform, Azure ML). - Containerization : Familiarity with Docker for containerizing applications. - Version Control : Proficient with Git for source code management. - Communication : Excellent communication, collaboration, and interpersonal skills. Preferred Skills (Nice-to-Have) : - Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, BentoML, CI/CD for ML). - Familiarity with distributed computing frameworks for ML (e.g., Dask, Spark MLlib). - Experience with big data technologies (e.g., Hadoop, Hive). - Knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and experience with large language models (LLMs). - Experience with A/B testing frameworks for ML models. - Familiarity with MLOps platforms and services. - Contributions to open-source ML projects or relevant publications

Branch - Software Development Engineer II - Machine Learning (3-8 yrs)

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Branch International Careers, 3 Branch International Jobs, September 2025  | hirist.tech

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