Software engineer ii (storage) Jobs

Machine Learning Engineer – II
GrapheneAI —India
- Full-time
- Azure
- SQL
- Machine learning
Backend Engineer
Weekday —Bengaluru, Karnataka
- Full-time
- Azure
- DevOps
- System design
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Machine Learning Engineer – II

GrapheneAI -
India

Apply Now

Job details

Full-time

Qualifications

CI/CD
Torch
Azure
Software design
Kubernetes
Data structures
NumPy
UNIX
NoSQL
Git
Test-driven development
Microservices
SQL
Pandas
OOP
Market research
Docker
Machine learning
PostgreSQL
Distributed systems
Continuous integration
REST
Natural language processing
APIs
Scalability
Linux
Unit testing
AI
Python
SDLC
Design patterns

Full job description

Primary Purpose:

As a Machine Learning Engineer, you’ll work with a highly skilled and collaborative AI team focused on solving complex business problems with NLP and GenAI (multi-modal) technologies. You’ll gain hands-on experience in building production-grade systems, integrating ML pipelines, and applying cutting-edge models to real-world datasets. You’ll learn about ownership and stakeholder management, essential skills for growth – on the job. We take pride in ownership and commitment to follow through; we debate and discuss – but fully commit when a decision is taken.

You can expect to:

Assist in designing and implementing NLP solutions to meet evolving business requirements

Support the integration of ML models into scalable product pipelines. We encourage fast iterations and autonomous decision making to improve engineering practices and culture across the team.

Experiment with various algorithms and approaches using libraries such as dask, torch, transformers, OpenAI, LlamaIndex, Langchain, etc.

Write clean, maintainable Python code with a strong focus on modularity, performance, and scalability. We encourage infrastructure-level understanding of virtual machines, storage systems, etc.

Collaborate with data scientists, architects, and engineers to evaluate approaches, conduct code reviews, and refine models. We iterate fast in understanding+development, but we don’t hold others back due to fast moving breaks.

Help deploy and monitor AI pipelines using tools like Langfuse, CI/CD frameworks, Docker/Kubernetes

Analyze model performance and propose optimizations for speed and reliability

Real-world application of NLP and LLMs in enterprise settings (including image and video models)

Productionizing AI algorithms with DevOps and CI/CD best practices

Collaboration across cross-functional teams in a deeptech product environment. Product understanding is encouraged

Insights into architecture, scaling, and system-level performance of AI modules, from day-one

First-hand impact of AI on Fortune 500 business decision-making

Hard and soft skills:

Must haves:

3+ years of strong programming skills in Python and understanding of data structures & algorithms

3+ years working with Machine Learning frameworks and libraries such as spaCy, numpy, pandas, openai, transformers, langchain, llama-index, vllm/triton, llama.cpp, torch, etc.

Applied understanding of OOP principles, software design patterns, REST APIs

Familiarity with git, unit testing, and working in Unix/Linux environments

3+ experience working with SQL, NoSQL, vector databases (chromaDB, duckDB, postgres).

Good to haves:

Prior experience with cloud platforms (preferably Azure)

Exposure to Docker, Kubernetes and the full SDLC

Familiarity with TDD, microservices, distributed systems, and event driven architecture.

Join us if you want:

To work on cutting-edge technology in AI and NLP
To be a part of a high-performance, high-energy and highly ambitious team
To keep pace with the latest happenings in the AI community
A company that focuses on your career progression
First-hand experience on the transformation impact of AI on business insights and market research
Peek into minds of leaders of Fortune 500 companies
Experience work autonomy, ownership, and trust

Job Type: Full Time

Job Location: India

Apply Now

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