Senior AI Engineer

5 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Company

At Quantanite, we’re reimagining customer experience through a blend of human insight and cutting-edge AI. As a fast-growing CX solutions partner for global brands, we leverage automation, data science, and deep domain expertise to deliver seamless experiences and exceptional outcomes. Join our ambitious, cross-continent team and help us build the next-generation AI platform that powers smarter hiring, richer analytics, and transformative business impact.



About the Role

Drive end-to-end design, implementation & deployment of AI-powered data solutions on Azure (Data Factory, Databricks/Spark, Data Lake, Synapse).



Responsibilities

Architecture & Development

  • Build robust data pipelines: crawling unstructured sources → ETL → fact tables → data quality checks → vector embeddings.
  • Integrate and manage multiple data sources (APIs, flat files, enterprise apps) into a unified data lake.

AI & ML Innovation

  • Research, prototype & productionize Machine Learning, NLP, Deep Learning, Image/Speech Recognition models to extract insights from text, voice & images.
  • Leverage Vector DBs (FAISS, ChromaDB, Pinecone, Weaviate) and Feature Stores for high-performance semantic search and retrieval.

MLOps & Scale

  • Containerize (Docker/Kubernetes) and automate CI/CD pipelines for models & services.
  • Enforce best practices for security, performance, observability & reproducibility.

Leadership & Collaboration

  • Partner with Product, Data Engineering & SMEs to align technical solutions with business goals.
  • Mentor, review & uplift fellow engineers; champion code quality, documentation & agile delivery.



Qualifications

  • 5+ years’ experience in full-stack AI/ML engineering, with 3+ years on Azure data technologies
  • Bachelor’s/Master’s in Computer Science or related; PhD a strong differentiator



Required Skills

  • Strong Python expertise plus familiarity with ML frameworks (TensorFlow, PyTorch)
  • Hands-on with Azure: Data Factory, Databricks/Spark (or Fabric), Data Lake Gen1/2, Synapse/SQL DW
  • Deep understanding of statistical modeling, NLP, deep learning and vector-search architectures
  • Proficient in data storage: RDBMS (MySQL, SQL Server), NoSQL (MongoDB, Cassandra), plus Vector DBs
  • Solid software engineering: API/Web-services integration, Git, Eclipse/Enterprise Architect, UML & architecture blueprints
  • Experience with agile methodologies (Scrum, XP, RUP) in Outsourcing/BPO environments is a plus
  • Excellent communication skills and comfort engaging stakeholders at all levels



Preferred Skills

  • Experience with agile methodologies (Scrum, XP, RUP) in Outsourcing/BPO environments is a plus



Why Quantanite?

  • Impact & Visibility: Your AI models will power features used daily by recruiters and enterprise clients worldwide.
  • Career Acceleration: Personal development plans, mentorship, conference sponsorships & certification support.
  • Culture & Flexibility: Work from anywhere in India, dress how you like, and balance life with generous PTO and wellness perks.
  • Community & Events: Regular hackathons, tech talks, team offsites and a truly inclusive “We Build Better. Together.” ethos.



Ready to Innovate? Reach out to us today

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Quantanite

Software Development

London London

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