Business Manager-Loan sales

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, MLOps, and Generative AI. The ideal candidate will have hands-on experience in building scalable ML models, deploying them in production, and working with modern AI frameworks, including GenAI technologies.

Key Responsibilities

·      Design, develop, and deploy machine learning models for real-world business problems

·      Work on end-to-end ML lifecycle: data preprocessing, model building, evaluation, deployment, and monitoring

·      Implement and manage MLOps pipelines for scalable and reproducible workflows

·      Utilize tools like MLflow for experiment tracking, model versioning, and lifecycle management

·      Develop and integrate Generative AI (GenAI) solutions such as LLM-based applications

·      Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions

·      Optimize model performance and ensure production stability

·      Stay updated with the latest advancements in AI/ML and GenAI ecosystems

Required Skills & Qualifications

·      4+ years of experience in Data Science / Machine Learning

·      Strong programming skills in Python

·      Hands-on experience with ML modeling techniques (supervised, unsupervised, NLP, etc.)

·      Solid understanding of MLOps practices and tools

·      Experience with MLflow or similar model lifecycle tools 

·      Practical experience in Generative AI (GenAI), including working with LLMs

·      Experience with libraries/frameworks like Scikit-learn, TensorFlow, PyTorch

·      Strong understanding of data structures, algorithms, and statistics

·      Experience with cloud platforms (AWS/GCP/Azure) is a plus

Good to Have

·      Experience with LLM fine-tuning, prompt engineering, or RAG pipelines

·      Exposure to Docker, Kubernetes, and CI/CD pipelines

·      Knowledge of data engineering workflows 

Develop a deep understanding of adhesive product technologies and applications.  Develop strong business relationships with key decision-makers and influencers at large manufacturers.  Develop a healthy project pipeline to propel the business growth.  Travelling regularly within the assigned territory.  Meeting prospective clients daily, understanding their needs, and recommending right solutions.  Timely submissions of sales reports. Prospective candidate must respect and adhere to deadlines.

Experience: 5+ years building and operating production-grade Python services. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag8eyxvIdQ5YQCku/form

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Every insight Terrabase delivers travels through a Python service you will own. Our platform powers real-time agent workflows, multi-connector data pipelines, sandboxed execution, and versioned artifact delivery, all streaming live to enterprise customers. Reliable async workers, low-latency APIs, and precise observability are not nice-to-haves here. They decide whether customers trust the system.

Your mission: keep this engine reliable and scale it as we grow.

What You Will Do

Own the FastAPI platform. Design, extend, and operate the core services powering agent orchestration, connector management, schema resolution, streaming chat, and sandboxed execution. Async handlers, SSE and WebSocket support, Pydantic v2 validation, SQLAlchemy with Alembic migrations against PostgreSQL.

Build and scale async workers. Operate Celery workers backed by Redis and RabbitMQ for schema fetching, task routing, stuck-task detection, and real-time notifications. Understand failure modes at the worker level, not just the API level.

Own the context layer pipeline. Build and operate the ingestion pipeline that processes enterprise documents, extracts and ranks business concepts, and builds the structured knowledge layer that agents reason over. This covers connector integrations, chunking strategies, and the data contracts between upstream sources and the agent layer.

Manage data connections at scale. Build and harden runtime connectors to Snowflake, DuckDB, Databricks, BigQuery, and other warehouse and SaaS sources. Handle encrypted credentials, OAuth flows, and live schema discovery. Make connections stay alive, fail cleanly, and recover fast.

Instrument everything. Own the observability stack: Prometheus and Grafana, structured logging with correlation IDs, OpenTelemetry tracing, health endpoints. P99 latency and error budgets are yours to define and defend.

Ship and operate on AWS. Docker-based deployments, Nginx, Terraform, GitHub Actions CI/CD. Write runbooks and post-mortems anyone can use to debug at 2am. Harden secrets management and SOC 2 logging.

Collaborate across teams. The platform serves LangGraph-based agent workflows and React frontends. Design API contracts that enable sub-second streaming responses and zero-downtime releases.

What We Are Looking For

• 5+ years building and operating production Python services
• Strong bias for ownership: you identify problems, propose fixes, and drive them to closure without supervision
• Deep FastAPI expertise: async handlers, dependency injection, middleware, SSE streaming, WebSocket
• Solid Celery and Redis knowledge: retry logic, task routing, idempotency, worker failure recovery
• Hands-on with Docker, Linux, and AWS deployment
• Experience with Terraform or equivalent infrastructure-as-code tooling
• Production observability mindset: Prometheus, Grafana, structured logging, distributed tracing, alerting
• Proficient with type hints, pytest, and modern Python packaging
• PostgreSQL, SQLAlchemy, and Alembic in production
• Clear communicator: your design docs and PRs show first-principles thinking

Bonus Points

• Experience with Snowflake, DuckDB, or Databricks connector patterns
• Prior work integrating LangGraph or LangChain workflows into a production API layer
• Exposure to document processing pipelines, chunking, retrieval, or knowledge graph construction
• Contributions to open-source backend or infrastructure tooling
• Experience operating under SOC 2 or equivalent compliance requirements

Life at Terrabase

Sharp, fully remote team shipping to enterprise customers weekly. Real ownership, generous cloud budgets, and a culture that prizes reliability over ceremony.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
• Minimum 5+ years of experience in Node.js & Angular development.
• Experience with NoSQL database technologies like MongoDB is must.
• Strong problem-solving skills and the ability to work effectively in a fast-paced environment.
• Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders.
• Ability to prioritize tasks, manage projects properly and meet project deadlines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines is must.

Responsibilities:

• Lead the Product development team in designing, implementing, and maintaining robust MEAN stack Application.
• Should be able to plan & execute Development Sprints in Jira based on given Feature Documentation.
• Should be able to allocate resources for Sprints and give time estimates.
• Conduct Daily Standup Meetings for Team and make sure of Sprint Progress.
• Provide technical leadership and mentorship to junior developers, guiding them in best practices for MEAN Stack development.
• Collaborate with stakeholders to gather requirements, provide technical insights, and communicate project progress.
• Stay updated with the latest development trends, tools, and technologies, and advocate for their adoption within the team.
• Making sure that we are creating highly scalable and maintainable API’s that meet performance and security requirements.
• Make sure to have at least 90% Test Coverage for NodeJS Backend.
• Conduct detailed code reviews & refactoring and ensure adherence to coding standards, best practices, and project guidelines.
• Optimising frontend components for maximum performance across a vast array of web-capable devices and browsers.
• Develop detailed, annotated wireframes depicting all elements on unique screen types, including content, functional, navigation, and interaction specifications.
• Articulates rationale for approach in the context of both business and user needs.
• Define processes and deliverable that meet project goals and are reasonable within operational, cultural and technology constraints.
• Submit Weekly Sprint & Product Performance Report to Management

Java with cloud

Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at a massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.