Job Description
Overview:
The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. We are seeking a Data Scientist / Graph AI Engineer with deep expertise in semantic graph analytics, AI-driven anomaly detection, and large language models (LLMs). This individual will serve as a technical pioneer, designing, implementing, and validating novel methodologies to transform machine log data into ontology-driven semantic graphs that enable clustering, anomaly detection, and downstream analytics. This role demands a thinker, builder, and innovator who thrives in customer-centric environments, is able to invent intellectual property, and can navigate the intersection of data engineering, graph representation learning, and AI/LLM-based methodology creation.
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Job Responsibilities
- Oversee and support process by reviewing daily transactions on performance parameter
- Handle technical escalations through effective diagnosis and troubleshooting of client querie
- Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client
- Review performance dashboard and the scores for the team
- Support the team in improving performance parameters by providing technical support and process guidance
- Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions
- Ensure standard processes and procedures are followed to resolve all client queries
- Resolve client queries as per the SLA’s defined in the contract
- Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting
- Document and analyze call logs to spot most occurring trends to prevent future problems
- Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution
- Ensure all product information and disclosures are given to clients before and after the call/email requests
- Avoids legal challenges by monitoring compliance with service agreemen
Qualifications
- Graph Expertise: Strong background in graph databases (Neo4j, TigerGraph), graph processing (NetworkX, DGL, PyTorch Geometric), and ontology modeling (OWL, RDF, Protégé).
- Machine Learning: Proven experience with graph embeddings, anomaly detection, clustering, and time-series analysis.
- AI/LLM Innovation: Hands-on experience applying or extending large language models for data representation, semantic reasoning, or code generation.
- Programming & Engineering: Advanced skills in Python, PyTorch/TensorFlow, Spark, and cloud-native pipelines.
- Research & IP Creation: Track record of innovation (patents, publications, novel algorithms).
- Communication: Ability to engage stakeholders with clarity, empathy, and influence
- Experience with Splunk log data or similar enterprise log platforms.
- Familiarity with graph-based anomaly detection benchmarks and scalable ML infrastructure.
Experience: 5-8 Years .
Expected annual pay for this role ranges from $60,000 to $135,000 . Based on the position, the role is also eligible for Wipro’s standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.