5,570 Machine Learning jobs in India
Radiology Ai Innovator
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RamSoft, Inc., headquartered in Toronto, Canada, is a global leader in Web based Radiology Solution. Our teams are present in USA, India, South Africa and Vietnam. Through 30 years of innovation in web radiology, we have provided several award-winning solutions to healthcare providers around the world. With the state-of-art software and services, we are uniquely positioned to help Hospitals, Clinics and Physicians to deliver effective patient care. We love to innovate, we are in the process of building a new technology platform that will help save more live and improve patient care.
**Who are we looking for?**
As a Radiology AI Innovator, you will be at the forefront of designing and implementing cutting-edge solutions that revolutionize the healthcare industry. Your medical expertise and passion for innovation will drive the development of RamSoft’s AI-driven software and platform to meet the dynamic needs of radiologists and other healthcare professionals globally.
**What will you bring to RamSoft?**
**AI-Driven Radiology Solutions**:
- Utilize your radiology expertise to steer the creation of AI-driven solutions that address key challenges in the healthcare sector.
- Partner with engineering teams to integrate advanced AI functionalities into our suite of software products.
**Enhancing Radiology Workflows**:
- Work with diverse teams to ensure product features are finely tuned to the nuanced demands of radiology practitioners.
**Customer-Focused Product Innovation**:
- Synthesize research outcomes into actionable product design specifications.
- Develop and foster collaboration with academic institutions globally to conduct research, perform studies, and publish papers/presentations using RamSoft’s platform.
**Empathetic Design and Problem-Solving**:
- Employ empathy to uncover and address the core issues affecting our customers, transforming these insights into meaningful product enhancements.
- Manage challenging customers by understanding their clinical objectives and designing creative solutions to meet or exceed their expectations
- Champion a user-first design philosophy, collaborating with UX teams to ensure our software genuinely solves real-world healthcare challenges.
**Strategic Product Leadership**:
- Take ownership of the entire product lifecycle, ensuring both the strategic success and financial viability of our product offerings.
- Spearhead product development cycles and go-to-market strategies for new releases.
- Establish and monitor key performance indicators to gauge product performance and user satisfaction.
- Lead in-depth technical and market analyses to inform product decisions and strategy.
- Engage with customers to gather detailed product requirements, with a special focus on medical imaging and radiology workflow integration.
- Explore market trends to define the product's vision and long-term strategy, capitalizing on your expertise in medical imaging and radiology workflows.
- Collaborate with internal experts and external partners to generate precise product requirements and testing protocols.
- Prioritize and schedule product features for upcoming releases, ensuring alignment with strategic goals.
- Act as a liaison between the development team and product management, providing expert insights into medical imaging software and radiology practices.
- Work closely with Leadership to coordinate product management efforts and release planning.
- Fulfill additional responsibilities as needed to support the product's success.
- Travel will be required within India and to global radiology conferences including RSNA
**What will you bring to RamSoft?**
**Professional Experience**:
- A minimum of 5 years of professional practice as a radiologist.
- Practical involvement with medical imaging AI.
**Educational Background**:
- A Medical Degree complemented by real-world radiology experience.
**Innovation Expertise**:
- Academic publications, presentations, and deep connections in India and globally.
**What will make you really stand out?**
- In
- RamSoft offers a casual work environment, flexible work hours, and a competitive compensation and benefits package. RamSoft Inc. is an equal opportunity employer and committed to fostering an accessible and inclusive environment for employees and customers. If you require any accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let our HR department know and we will work with you to meet your needs._
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Machine Learning
Posted today
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• Background in natural language processing and/or machine learning -
• Strong Computer Science fundamentals (algorithms, data structures) -
• Industry experience developing multi-threaded applications -
• Mathematical background (probability & statistics) a strong plus
• Knowledge of SQL, PL/SQL and standard RDBMSs a plus
Machine Learning
Posted today
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Project Role**:Application Developer
- **Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Mumbai
- ** Must Have Skills **:Machine Learning
- ** Good To Have Skills **:No Technology Specialization
- ** Job Requirements:
**- **Key Responsibilities **:Expert in Python, with knowledge of at least one Python web framework Django, Flask, etc - Proficient understanding of code versioning tools Git, Mercurial or SVN - Familiarity with event-driven programming in Python - Good understanding of OWASP vulnerabilities and remediations
- Knowledge of user authentication and authorization between multiple systems, servers, and environments - Understanding of the threading limitations of Python, multi process architecture
- **
- Able to create database schemas that represent and support business processes - Able to integrate multiple data sources and databases into one system - Able to create database schemas that represent and support business processes
- **
Professional Attributes**:1: Must have good communication skills 2: Must have ability to collaborate with different teams and suggest solutions 3: Ability to work independently with little supervision or as a team 4: Good analytical problem solving skills 5: Good team handling skills
- **
Educational Qualification**:min 15 yrs of education
15 years of full time education
Engineer - Machine Learning

Posted today
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Come join us to create what's next. Let's define tomorrow, together.
**Description**
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
**Job overview and responsibilities**
United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices.
+ Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure.
+ You will design and develop tools and apps to enable ML automation using AWS ecosystem
+ Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications
+ Support large scale model training and serving pipelines in distributed and scalable environment
+ Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies - NumPy, data science packages like sci-kit, microservices architecture
+ Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them
+ Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-end lifecycle of large language models
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree
+ Computer Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required
+ 2+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2+ years of experience in machine learning, deep learning, and natural language processing
+ 2+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS
+ 2+ years of experience with Big Data technologies such as Spark, Flink and SQL programming
+ 2+ years of experience with cloud-native DevOps, CI/CD
+ 1+ years of experience with Generative AI/LLMs
+ Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and experience building and deploying at least one production ML pipeline
+ Experience in ML model life cycle development experience and prefer experience to common algorithms like XGBoost, Cat Boost, Deep Learning, etc
+ Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context
+ Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS Code Pipeline; preferably experience with GitOps using tools such as Argo CD, Flux, or Jenkins X
+ Experience with generative models such as GANs, VAEs, and autoregressive models
+ Prompt engineering
+ Ability to design and craft prompts that evoke desired responses from LLMs
+ LLM evaluation
+ Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity
+ LLM debugging
+ Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies
+ LLM deployment
+ Ability to deploy LLMs in production environments and ensure that they are reliable and secure
+ Experience with LLMOps (Large Language Model Operations) to manage the end-to-end lifecycle of large language models
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree
+ Computer Science or related STEM field
Machine Learning Engineer
Posted today
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Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here ( .
We are building Machine Learning Platform to enable MLOPs capabilities to help Data scientists and ML engineers at Target to implement ML solutions at scale. It encompasses building the Featurestore, Model ops, experimentation, iteration, monitoring, explainability, and continuous improvement of the machine learning lifecycle. You will be part of a team building scalable applications by leverage latest technologies. Connect with us if you want to join us in this exiting journey.
**As a Engineer, you'll take the lead as you.**
You will build applications for Target's MLPlatform to enable capabilities to help data scientists, ML engineers and Data engineers at Target . You will be part of a team building highly scalable, event driven applications and leverage technologies. You understand Target's business and technical environments, resolve complex challenges via technical solutions as well as be a significant code contributor, manage software development cycle, drive best practices and ensure development of high-quality code with compliance & security standards. The Engineer is a practitioner of rapid prototyping and Agile, DevOps, CI/CD, test-driven development and stays current with new technology to be able to assess viability and applicability to Target's business and technical environments.
**Tech stack:** Java, SpringBoot, Microservices, Python, Cassandra, Elastic Search, Postgres, Kafka, Docker, CICD, GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills
**About you:**
+ 4 year degree or equivalent experience
+ 1.5+ years of software development experience
+ Experience in building applications using JVM languages like Java, Kotlin
+ Exposure in building high-performance scalable APIs.
+ Good to have experience in building Python applications, Fast API etc
+ Good to have Machine Learning Engineer skills
+ Having GCP cloud skills, GCP Machine Learning Engineer skills , GCP VertexAI skills would be added advantage
+ Experience in microservices, Spring Boot, cloud development, NoSQL databases, and event driven architecture
+ Experience with NoSQL technologies Cassandra, Elastic search, MongoDB is a plus
+ Deep experience writing unit and functional tests and test-driven development
+ Experience building CI/CD pipelines
+ Strong problem solving and debugging skills
Machine Learning Engineer

Posted today
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At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Machine Learning Engineer
Posted today
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Job Title: ML Engineer - Partnership Track
Company: FastCode.AI
Location: Bangalore (In-office, 5 days/week)
About FastCode.AI: We're a 30-person AI/ML company building production systems for major clients. Half our team operates as partners - owning projects, managing P&L, and taking home percentages instead of just salaries. We believe in rapid growth through osmosis - 12 of our engineers started with zero ML experience and now lead complex projects.
About This Role: We're hiring exactly 2 ML Engineers who will join our partnership track. You don't need ML experience - our founder (PhD Max Planck, ex-Apple, ex-Weta Digital) and team will teach you. In 5-8 months, you'll be leading RAG pipelines, training models, and managing client relationships.
What You'll Do:
• Build and deploy ML systems for enterprise clients
• Own end-to-end projects from architecture to production
• Work directly with clients on requirements and delivery
• Progress from engineer to partner, managing your own P&L
• Collaborate with a team that ships code surviving Friday deploys
We're Looking For:
• Strong mathematical foundations and first-principles thinking
• High agency - you see problems and ship solutions without waiting for tickets
• Direct communication style - you push back with data
• Production mindset with emphasis on testing and monitoring
• Humility paired with ambition and hunger to grow
• Ability to write clearly and think systematically
Requirements:
• Bachelor's degree in any engineering discipline (or equivalent experience)
• Strong programming fundamentals
• Comfort with back-of-envelope calculations
• Willingness to work from our Bangalore office 5 days/week
Nice to Have: • Experience with Python (but we'll teach you) • Exposure to statistics/probability • Any technical project you're proud of
Compensation: ₹12-24 LPA based on experience + partnership track with revenue sharing
How to Apply: Application deadline: September 8, 2024, 8:00 AM IST
Email arjun+ with:
- 150 words explaining why you're our next success story
- Description of one hard problem you've solved (technical or otherwise)
- Your LinkedIn profile link
We value clear thinking and strong writing. Show us both.
Why FastCode.AI: • Learn directly from industry veterans who've worked at Apple, Weta Digital, and published with Yann LeCun • Join alumni who've gone on to lead ML at US startups, co-found companies, and become professors • Transition from employee to partner - some 23-year-old partners out-earn senior engineers • Work on real production systems for major clients, not POCs • Grow faster than anywhere else - we've proven it works
Note: We're closing this role for 3 months after these 2 hires to focus on onboarding.
FastCode.AI is an equal opportunity employer committed to building a diverse and inclusive team.
Machine Learning Engineer
Posted today
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About Us
At Fermions , we are building SAiGE , an AI-powered semiconductor design and verification platform that redefines how digital chips are designed. The semiconductor industry faces massive challenges in verification bottlenecks and time-to-market delays. Our mission is to solve these challenges using AI + modern software engineering .
We are an early-stage deep-tech startup, backed by Canada’s startup ecosystem, and are assembling a global team to build the future of chip design.
We are seeking a Machine Learning Engineer who can not only build and fine-tune AI/ML models but also has the ability to integrate them into a production-ready full stack application . This is a part-time, remote role based in India , ideal for someone passionate about solving tough technical problems at the intersection of AI and semiconductors .
- Research, design, and implement AI/ML models (e.g., LLMs, transformers) for chip design automation.
- Develop pipelines to train, fine-tune, and deploy models.
- Collaborate with the founding team to integrate AI solutions into the SAiGE platform .
- Contribute to frontend + backend development (React/Node/Python stack) to bring AI features to life.
- Build scalable APIs and ensure smooth integration of ML modules into production.
- Optimize performance, scalability, and reliability of deployed ML models.
- Strong ML/AI background:
- Python (PyTorch / TensorFlow)
- NLP, LLMs, Transformers, LangChain (nice to have)
- Model training, fine-tuning, deployment (APIs, Docker, cloud).
- Solid Full Stack Development skills :
- Frontend: React.js / Angular / Vue.js
- Backend: Node.js / Django / Flask
- Databases: PostgreSQL / MongoDB
- Ability to build end-to-end systems , not just prototypes.
- Knowledge of EDA / semiconductor design workflows .
- Familiarity with Electron.js (desktop app development).
- Prior experience in a startup or research-driven project .
- Contributions to open-source projects .
This role is best suited for:
- An ML Engineer who codes full stack and is excited to apply AI to real-world problems.
- Someone who has 3–6 years of experience in ML + software engineering OR a strong researcher with proven development experience.
- Individuals who thrive in early-stage startup environments , love building quickly, and want to make a global impact.
- Part-time (15–20 hours/week) to start.
- Remote (India-based).
- Potential to grow into a founding team member with equity.
- Opportunity to pioneer AI in semiconductors , one of the world’s most critical industries.
- Direct collaboration with the founding team (semiconductor R&D + product + AI/ML backgrounds).
- Flexible work setup, with potential for long-term growth and equity .
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Machine Learning Engineer
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Note: Looking for Immediate Joiner.
Job Title: Machine Learning Engineer (AI ML)
Job Summary:
Primary Skills
• Master degree from Computer science, Mathematics, Statistics and other relative disciplines
• Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,…
• Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure, …
• Excellent written and verbal communication skills for coordinating across teams.
• Experience in code management using Git Secondary Skills
• Experience in Ecommerce or Advertising verticals is a plus
• Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV, …
• Experience on parallel computing and GPU acceleration is a plus
• Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must
Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Transforming data science prototypes and applying appropriate algorithms and tools.
evelop custom ML and non-ML models and algorithms to apply to data sets.
efine the evaluation approach of models
se predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
oordinate with different functional teams to implement models and monitor outcomes.
eeping abreast of developments in corresponding domains
Note: Looking for Immediate Joiner only.
Machine Learning Specialist
Posted today
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About us:
Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making in the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminum, cement, pharma, paints, consumer goods and others. It is one of India’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. The Ripik team is growing fast and looking for stellar individuals to join.
About the role:
You will work on some of the latest applications of AI to solve complex business problems and demonstrate significant business value to multiple clients. In doing so, you will closely collaborate with a team of consultants, data scientists and data engineers. You will lead the project team to design and deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following:
- Problem solve on path to impact/value creation and troubleshooting wherever there are hurdles.
- Problem solve, coach, trouble shoot and mentor and empower data scientists on building more accurate models.
- Interface with users (across levels), senior stake holders and internal teams to ensure the models and products deliver what they are supposed to.
- Interact with the users and pre-empt problems / identify early warning signals and solve for the issues.
- Program manage at a time 5-10 delivery situations (each of which may also be across multiple sites).
- Adopt a non compromising approach to client success.
- Innovate to ensure we use cutting edge AI ML approach to model building, training and deployment.
- Collaborate with SWEs to fetch data / Data ETL and for model deployment.
- Contribute to organization building through training, mentoring and developing repeatable analytic approaches.
Required Skills & Experience:
- 3 years of experience as Data Scientist or similar role.
- Must have experience in computer vision.
- Hands On Knowledge of DS / ML / AI techniques - when and why they are used, tuning the model and interpretation of results from a business viewpoint.
- Good programming skills in Python with strong working knowledge of Python libraries such as NumPy, Pandas, Scikit-learn, tensor flow/keras, pycaret etc. Preferable experience in Auto/ Consumer goods/ retail / manufacturing/ pharma sectors.
- Excellent presentation and communication skills.
What can you expect?
- World class work culture, coaching and development.
- Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details).
- Fun team!
Location: Noida (Work from office)
Machine Learning Engineer
Posted today
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Branch Overview
Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.
Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.
We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.
Job Overview
Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.
Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.
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
We’re looking for more than just qualifications -- if you’re 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.