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Aleph-Labs
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Mysuru · Hybrid · 8-11 Yrs · Oct 4
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Aleph-Labs is known for seamlessly bridging design and technology, creating user-centric products that people enjoy using and clients are proud to own.
Responsibilities
- The Principal
- Data AI Engineer will lead technical discovery, perform complex data analysis, mentor other engineers, and contribute to architectural decisions for AI and data systems. The role also involves evaluating new tools and frameworks, ensuring best practices in model performance, reliability, and security, and presenting insights and recommendations to stakeholders.
Qualifications
- Own end‑to‑end architecture and technical direction for enterprise data, analytics, ML, and GenAI systems supporting large‑scale commercial and operational use cases.
- Principal architect and technical advisor for Novo Nordisk across attribution, MMM, CEI, HCP targeting, next‑best‑action, and supply decision intelligence.
- Defined Snowflake‑centric governed data and AI platforms integrating curated data products, semantic layers, ML pipelines, and downstream decision systems.
- Established enterprise GenAI reference architectures with AI gateways for policy enforcement, auditability, model routing, and compliance.
- Designed agentic AI systems using RAG, embeddings, and bounded agents for root‑cause analysis, insight synthesis, and workflow automation.
- Led and mentored 26+ data scientists and ML engineers; set architecture standards, coding practices, and model lifecycle governance.
- Architected an ML‑driven ticket management platform adopted by 8+ internal clients, saving ~160+ hours/client/month. Strong expertise in Data Architecture and Data Modeling, with experience designing scalable and resilient data solutions.
- Hands-on experience with Extract Transform Load (ETL) processes and Data Warehousing, including modern cloud-based platforms.
- Proficiency in Data Governance, including data quality, security, compliance, and lifecycle management frameworks.
- Extensive experience in designing and implementing AI/ML-driven data solutions, including model deployment and MLOps practices.
- Advanced skills in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala, or Java).
- Proven track record in leading architecture initiatives, influencing technical direction, and mentoring multidisciplinary teams.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience.
- Strong communication and stakeholder management skills, with the ability to translate complex technical concepts into actionable guidance.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Principal Data AI Engineer Role at Aleph-Labs?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Aleph-Labs may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Principal Data AI Engineer Role role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Principal Data AI Engineer Role remote or on-site in Mysuru, Karnataka?
- This listing is marked hybrid with location Mysuru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Principal Data AI Engineer Role role at Aleph-Labs?
- This is a principal Principal Data AI Engineer Role role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.