Senior Machine Learning Engineer – Library
Loopio
full-time
Posted on:
Location Type: Remote
Location: India
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Job Level
Tech Stack
About the role
- Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine tuning methods while translating experimental prototypes into robust components that consistently perform under production conditions.
- Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation that ensures predictable behavior over time.
- Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies such as batching, caching, streaming, and performance tuned deployment patterns that meet latency, reliability, and throughput requirements.
- Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness to support durable, maintainable ML systems.
- Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long term extensibility.
- Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product, Engineering, and Applied Science partners to align expectations, remove constraints, and deliver measurable customer impact.
- Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence while providing informal mentorship on modern NLP techniques and scalable model serving.
- Demonstrate strong ownership and attention to detail by driving high quality delivery in a fast moving environment focused on reliability, clarity, and meaningful outcomes.
Requirements
- 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems.
- Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks.
- Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.
- Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.
- Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.
- Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems.
- Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.
- Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution.
- Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes.
Benefits
- Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage __Lattice__ for our 1:1s and performance conversations
- You will have the opportunity to elevate 🪄 your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
- We’ll set you up to work remotely with a MacBook laptop 🍏, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
- You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
- Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!
- Our four active __Employee Resource Groups__ offer opportunities for employees to learn and connect year-round.
- You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningnatural language processinglarge language modelsembeddingstransformer modelsPythonPyTorchTensorFlowAPI developmentmicroservice development
Soft Skills
collaborationownershipattention to detailtechnical decision makingmentorshipcommunicationproblem solvingadaptabilityexecutioncustomer impact focus