We’re looking for an experienced ML Architect from Hyderabad / Pune who can help customers build, scale, and productionize modern Machine Learning and Generative AI solutions.

What You’ll Do

Build and scale customer Data Science & ML workloads and apply best-in-class MLOps practices to productionize solutions across multiple domains. Design and develop LLM-powered solutions, including:RAG architectures for enterprise knowledge repositoriesNatural-language querying of structured dataAI-powered content generation Advise data science and engineering teams on ML architecture, tooling, frameworks, and best practices. Provide technical mentorship and contribute to the broader ML/AI Subject Matter Expert community. Work closely with customers and internal teams to translate business challenges into scalable ML/AI solutions.

What We’re Looking For

6–10 years of hands-on industry experience in Data Science / Machine Learning. Strong experience with tools and frameworks such as Python, Pandas, MLflow, Scikit-learn, Gensim, NLTK, TensorFlow and/or PyTorch.



Experience building production-grade ML solutions on AWS, Azure, or GCP, including model monitoring and drift detection. Strong knowledge of up-to-date NLP and Generative AI, including:Vector databasesLLM fine-tuningHugging FaceLangChainOpenAIRAG architectures Graduate degree in Computer Science, Engineering, Statistics, Operations Research, or a related quantitative discipline—or equivalent practical experience. Excellent communication skills with the ability to explain and teach complex technical concepts to both technical and non-technical audiences. Passion for collaboration, continuous learning, and delivering measurable business value through ML.

Preferred Qualifications

Experience with Apache Spark™ and large-scale distributed data processing. Experience with Databricks. 4+ years of customer-facing experience, particularly in pre-sales or post-sales consulting roles. Ability to complete role-specific technical train

📌 MLArchitect | Hyderabad
🏢 Observance Solutions Private
📍 Hyderabad