Technical Architect with Data Science

21 hours ago

Hyderabad, Telangana, India 3shool Technology Consultants Private Full time ₹ 4,00,000 - ₹ 8,00,000 per year
  • Were seeking a visionary Technical Architect with deep expertise in Data Science and Generative AI to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries.
  • You'll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond.

Key Responsibilities

  • Architect AI Solutions: Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies
  • Lead Technical Strategy: Define technical roadmaps for AI/ML initiatives aligned with business goals
  • Model Development Oversight: Guide development of LLMs, transformers, and other generative models using frameworks like PyTorch, TensorFlow, and Hugging Face
  • Data Engineering Collaboration: Partner with data engineers to ensure robust data pipelines, feature stores, and real-time data ingestion
  • MLOps & Deployment: Implement CI/CD pipelines for ML models, containerization (Docker/Kubernetes), and cloud-native deployments (Azure, AWS, GCP)
  • Security & Ethics: Ensure responsible AI practices, model interpretability, and compliance with data privacy regulations
  • Mentorship & Leadership: Coach data scientists, ML engineers, and developers on best practices and emerging technologies
  • Stakeholder Engagement: Translate complex technical concepts into business value for executives and clients

Required Skills & Qualifications

  • Proven experience as a Technical Architect or Principal Engineer in AI/ML domains
  • Strong proficiency in Python, SQL, and cloud platforms (Azure preferred)
  • Expertise in GenAI frameworks (e.g., Lang Chain, OpenAI APIs, Retrieval-Augmented Generation)
  • Solid understanding of data science workflows, statistical modeling, and feature engineering
  • Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding techniques
  • Familiarity with prompt engineering, fine-tuning LLMs, and RLHF
  • Excellent communication and leadership skills
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field (PhD preferred)

Preferred Qualifications

  • Experience with multimodal AI (text, image, audio)
  • Contributions to open-source AI projects or publications
  • Certifications in cloud architecture or AI/ML (e.g., Azure AI Engineer, AWS Machine Learning Specialty)

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