ML Architect

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, strong 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.

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.