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 repositories
Natural-language querying of structured data
AI-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 databases
LLM fine-tuning
Hugging Face
LangChain
OpenAI
RAG 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 t
📌 ML Architect (Lucknow)
🏢 Observance Solutions
📍 Lucknow
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