Senior Technical Specialist

Company: HAN Digital

Website: Visit Website

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Business Type: Enterprise

Company Type: Service

Business Model: B2B

Funding Stage: IPO/Public

Industry: Information Technology

Salary Range: ₹ 30-35 Lacs PA

Job Description We are looking for a detail-oriented Technical AIML Ops Specialist to support end-to-end solution delivery and customer success operations . The role involves working across AI/ML operations, technical documentation review, compliance validation, and program coordination , ensuring high-quality delivery across enterprise systems.

You will review and analyze complex technical documentation including VPAT (Voluntary Product Accessibility Template) reports, cybersecurity assessment frameworks, and software architecture specifications .

Key Responsibilities

• We are looking for a detail-oriented Technical MLOps Specialist to support our end-to-end solution delivery and customer success functions.
• The role involves reviewing and complex technical documentation including VPAT (Voluntary Product Accessibility Templates) compliance reports, cybersecurity assessment frameworks, and software architecture specifications.
• Check and review vulnerability and security issues in the code using Lowcode/Nocode or native coding experience over Java, Python, etc
• You will conduct structured code quality reviews, flagging readability, maintainability, and standards adherence issues across multi-stack environments.
• Working closely with solution delivery teams, you will analyze functional and non-functional requirements, ensuring traceability from customer intent to technical output.
• The role demands a strong understanding of accessibility standards (WCAG 2.1/Section 508), cybertech risk taxonomies, and the ability to translate dense technical content into clearly labelled, structured datasets.
• You will collaborate with customer success managers to annotate ticket resolution patterns, escalation workflows, and product feedback loops that directly inform AI model training and knowledge base enrichment.
• A background in QA, technical writing, or software development combined with a meticulous eye for semantic accuracy is essential.

Required Skills & Experience

• 8–12 years of experience in software engineering, QA, technical operations, or AIML/MLOps environments
• Strong understanding of AI/ML operations, system delivery, or customer success in technical domains
• Experience reviewing technical documentation, architecture designs, or compliance reports
• Hands-on exposure to Java, Python, or low-code/no-code platforms
• Knowledge of cybersecurity concepts, vulnerability analysis, and risk frameworks
• Familiarity with accessibility standards (WCAG 2.1, Section 508)
• Strong experience in code quality review, debugging, and maintainability assessment
• Ability to convert unstructured technical content into structured, analyzable datasets
• Strong analytical, documentation, and stakeholder communication skills

Preferred Skills

• Experience in MLOps / AI Ops / Data annotation workflows
• Background in QA, technical writing, or software development
• Exposure to enterprise customer success or program management environments
• Experience working with AI training data pipelines or model evaluation processes