This role is for one of the Weekday's clients
Salary range: Rs ******* - Rs ******* (ie INR ***** LPA)
Min Experience: 2 years
Location: Bengaluru
JobType: full-time
We are looking for a driven
Member of Technical Staff – Machine Learning
with 2–3 years of hands-on experience in Python development, API engineering, and working with Large Language Models (LLMs). This role focuses on building and scaling ML-powered features, integrating AI capabilities into production systems, and contributing to the development of AI-first products.
Key Responsibilities
Design, build, and maintain
Python-based machine learning pipelines and services
.
Develop, implement, and maintain
RESTful APIs
and integrations with internal and external systems.
Integrate and operationalize
LLM models
(e.g., OpenAI, Anthropic, Gemini) within production applications.
Create and optimize
prompts, prompt templates, and prompt chains
for various LLM-driven use cases.
Collaborate closely with product and engineering teams to translate business requirements into ML solutions.
Monitor model performance and optimize inference, latency, and reliability.
Follow best practices for
code quality, testing, scalability, and maintainability
.
Contribute to system design and architecture discussions for AI-driven platforms and products.
Required Skills & Experience
Strong proficiency in
Python
, with experience using




FastAPI or Flask
.
Solid experience in
API development and integration
, including REST standards, authentication, versioning, and documentation.
Hands-on experience with
LLM integration
, embeddings, and vector-based retrieval workflows.
Positive understanding of
prompt engineering
, including system prompts, RAG workflows, and evaluation techniques.
Experience handling
JSON schemas, logging, asynchronous programming, and error handling
.
Foundational knowledge of machine learning concepts such as preprocessing, evaluation, and deployment.
Exposure to
cloud platforms
(AWS, GCP, or Azure) is an advantage.
Nice-to-Have
Experience with
vector databases
such as Pinecone, Weaviate, or FAISS.
Familiarity with frameworks like
LangChain, LlamaIndex
, or similar tools.
Understanding of
CI/CD pipelines
and modern DevOps practices.
Exposure to monitoring, observability, and model performance tracking tools.
Basic knowledge of
Docker
and containerized deployments.
Qualifications
Bachelor's degree in
Computer Science, Engineering
, or a related field.
2–3 years
of professional experience in software or machine learning engineering roles, preferably in a product-based environment.
Skills
Python, LLMs, REST APIs, FastAPI, Flask, Machine Learning, Prompt Engineering

📌 Member Of Technical Staff - Ml (Bengaluru)
🏢 Weekday AI
📍 Bengaluru