Posted today · be early
Full-Stack Software Engineer: ML Focus
Boston Bioprocess
IndiaremotePosted 1 day ago
Skill Required
Machine-Learning-EngineeringFullstack-DevelopmentSoftware-EngineerMLOpsAI-EngineeringFull-Stack-Machine-Learning-EngineerFull-Stack-AI-EngineerAI-Full-Stack-EngineerML-Software-EngineerFull-Stack-Machine-LearningFull-Stack-AI-EngineeringFull-Stack-AI-DeveloperAI-Full-Stack-DeveloperAI-ML-Software-EngineerDeveloperFull Stack DeveloperMachine Learning EngineerSoftware EngineerSoftware DeveloperMachine Learningsoftware engineeringGenerative AIrelated fieldObservabilityCD pipelinesEngineeringTensorFlowPostgreSQLsimilar)MLflowNext.jsbuildingFastAPIPyTorchTestNGPythonSvelteDjangodesignDevOpsReactMySQLCI/CDAgileFulltime
Key highlights
- Salary: $15K USD to $30K USD depending on skills and experience
- Required experience: 2+ years (with Master's) or 5+ years (with Bachelor's from Tier 1 Indian University)
- Key benefit: Four weeks of paid vacation
- Required background: Master's in CS/Engineering from US/European/APAC university OR Bachelor's from Tier 1 Indian university
- Required expertise: FastAPI, PyTorch, React.js/Next.js/Svelte, AWS
- Nice-to-have: LLM-powered applications, Bayesian methods, LIMS/MES exposure
Role overview
Boston Bioprocess Inc. is an AI-native SaaS company building software to help clients track and optimize biotech research, development, and manufacturing operations. They are seeking an experienced AI-native Software Engineer to join their data science team—a software engineering role with a strong machine learning focus. The role involves designing, building, and operating production systems that support ML models, with emphasis on building reliable, scalable systems that turn early-stage models into dependable services for clients and scientists. The ideal candidate bridges early-stage ML code and production systems.
Responsibilities
- Take the lead in building the engineering backbone behind the AI-driven bioprocess platform, turning early-stage models into dependable services that clients and scientists rely on every day
- Build and operate ML-powered applications, backend services, REST APIs, data pipelines, scheduled jobs, and dashboards
- Design, develop, and own production services that power predictive, optimization, and generative AI applications using FastAPI, PyTorch, and AWS
- Own deployment, retraining workflows, and establish best practices for versioning, CI/CD, observability, and drift monitoring
- Bring modular architecture, typed interfaces, and robust testing to early-stage ML code
- Create robust REST APIs, ETL pipelines, and human-in-the-loop feedback systems
- Work closely with data scientists and wet-lab scientists to translate scientific requirements into production constraints
- Build Agentic AI systems, manage data pipelines, prepare datasets for machine learning models, and create insightful dashboards to optimize laboratory experiments and commercial-scale manufacturing
- Actively integrate AI-powered tools into daily workflow to optimize and speed up tasks such as coding, refactoring, testing, and documentation
- Use Agile practices to plan and track work
Requirements
- Master's degree in Computer Science, Engineering, or a related field from a reputed US/European/APAC University with 2+ years of proven experience as a Full-Stack Developer (or similar role)
- Bachelor's degree from a Tier 1 Indian University with 5+ years of experience in a related field
- Deep expertise in building complex, UI-heavy, and responsive web applications using React.js, Next.js, Svelte, etc.
- Strong knowledge of Python-based back-end languages such as FastAPI, Django, or similar
- Experience with databases like MySQL, PostgreSQL, or similar, including schema design for experimental or scientific data
- Hands-on experience integrating ML frameworks (PyTorch, Jax, Tensorflow, or similar) into production software, with a clear understanding of how inference, batching, and model lifecycle behave under real load
- Proven experience deploying and maintaining services and ML models on cloud platforms—AWS (SageMaker, ECS, Lambda), GCP, or similar
- Proven experience with DevOps practices and CI/CD pipelines
- Strong communication, excellent problem-solving skills and attention to detail
Nice to have
- Experience building LLM-powered applications (prompt engineering, evaluation, caching, agentic workflows)
- Experience with Bayesian methods, optimization under uncertainty, or recommender systems
- Exposure to laboratory informatics systems (LIMS) or Manufacturing Execution Systems (MES), or similar
Benefits
- Complete benefits package including health, life, vision, and dental insurance
- Four weeks of paid vacation
Additional details
- Salary of $15K USD to $30K USD depending on skills and experience
- Company mission: revolutionize biotech manufacturing through the power of AI
- Culture: small, agile team with minimal bureaucracy and a fast-paced culture
- The company believes success is built on technical excellence, clear communication, empathy, and a proactive, can-do attitude
- Role is fundamentally a software engineering role with a strong machine learning focus
- ML tools are regularly re-trained on fresh laboratory data to directly shape decisions made by scientists and clients every week