Senior-Technical Lead
Incedo
- Gurgaon, Haryana
- Permanent
- Full-time
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
- Define reference architecture (ingestion → lakehouse → features/vectors → models → APIs/UX); make build/buy decisions.
- Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop.
- Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback.
- Design retrieval pipelines (chunking, embeddings, vector namespaces), guardrails (prompt policies, allow-lists, PII redaction), and citation-based responses.
- Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage.
- Right-size SKUs; caching/batching; cost/per-token dashboards; SLOs for latency/throughput.
- Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews.
- Translate business policy into rule + ML ensembles, present options, risks, and trade-offs.
- Establish testing pyramid (unit, data, model evals, e2e), performance targets, observability dashboards.
- Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards.
- 10+ years of software development experience, with at least 5 years leading AI/ML projects.
- Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR).
- LangChain/LangGraph; embeddings; vector databases / Azure Cognitive Search (vector); prompt engineering & safety patterns.
- MLflow, model registry, online/offline evals, data/version management; CI/CD for models.
- Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.
- Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM.
- Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.
- Technical decision-making, cross-team coordination, stakeholder communication, mentoring.
- Certifications in AI/ML disciplines.
- Hands-on experience with explainable AI and AI governance.
- Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR).
- Bachelor's Degree in Computer Science or related science field or equivalent.