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:

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

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

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

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

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

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

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

Required Skills:

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6–10 years of hands-on industry data science experience

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Pandas

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MLflow

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Scikit-learn

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Gensim

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NLTK

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TensorFlow

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PyTorch

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

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Drift monitoring for ML deployments

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Vector databases

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Fine-tuning LLMs

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Deploying LLMs

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📌 ML Architect (India)
🏢 Sparix Global
📍 India