Experience:-7 - 9 years

Engagement Type:- Contract To Hire

Duration:- 9 Months

Engagement Mode:-Hybrid

Location(s) :- Mumbai, Maharashtra, India Position: ML Architect Position Overview:

We are seeking an experienced ML Architect to build and scale customer data science workloads, applying best-in-class MLOps practices to productionize solutions across a variety of domains. The role involves developing cutting-edge LLM solutions including RAG architectures on enterprise knowledge repositories, natural language querying of structured data, and content generation.

The ML Architect will serve as a trusted advisor to data teams on architecture, tooling, and best practices, while also providing technical mentorship to the broader ML Subject Matter Expert community. The ideal candidate brings deep hands-on data science expertise, solid communication skills, and a passion for driving business value through machine learning. Key Responsibilities:

Build and scale customer data science workloads and apply best MLOps practices to productionize these workloads across a variety of domains.

Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repositories.

Implement natural language querying of structured data and content generation solutions.





Advise data teams on data science architecture, tooling, and best practices.

Provide technical mentorship to the larger ML Subject Matter Expert community.

Communicate and teach technical concepts to both non-technical and technical audiences.

Meet expectations for technical training and role-specific outcomes within 3 months of hire. Required Skills:

6 10 years of hands-on industry data science experience

Pandas

MLflow

Scikit-learn

Gensim

NLTK

TensorFlow

PyTorch

Experience building production-grade machine learning deployments on AWS, Azure, or GCP

Drift monitoring for ML deployments

Vector databases

Fine-tuning LLMs

Deploying LLMs

HuggingFace

LangChain

OpenAI

Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or equivalent practical experience

Experience communicating and teaching technical concepts to non-technical and technical audiences

Passion for collaboration, lifelong learning, and driving value through ML. Preferred (Bonus) Skills:

Apache Spark for processing large-scale distributed datasets

Databricks platform experience

4+ years of customer-facing experience in a pre-sales or post-sales role.

📌 ML Architect (7-8+ Yr) | INR- 180000 - 190000/Monthly | Mumbai _Hybrid (India)
🏢 Sparix Global
📍 India