Generative AI Engineer

Overview

We are looking for an AI/Data Engineer who can work with complex, messy datasets and turn them into

meaningful insights and AI-driven opportunities. This role is focused on understanding data deeply,

identifying gaps and patterns, and translating them into practical, high-impact use cases.

This is not a purely modeling role — it requires strong analytical thinking, curiosity, and the ability to

connect data with real-world problems. The role also involves client interaction, discussions, and

participation in interviews, so strong communication skills are essential.

What You’ll Do

• Explore and analyze structured and unstructured datasets to understand data coverage, quality, and
• relationships
• Identify data gaps, inconsistencies, and missing signals that may impact downstream use cases
• Detect patterns, trends, and anomalies to generate actionable insights
• Translate raw data and ambiguous problems into clear AI/ML use cases
• Validate ideas by building lightweight prototypes (e.g., simple models, SQL pipelines, or LLM-based
• solutions)
• Collaborate with stakeholders and directly interact with clients to refine problems and prioritize high-
• impact opportunities
• Participate in technical discussions, client calls, and interviews when required
• Continuously question assumptions and improve how data is collected, structured, and utilized

What We’re Looking For

• Bachelor’s in Computer Science, Data Science, AI, Engineering, or related field (Master’s is a plus)
• 1–3 years of experience in data analysis, data engineering, data science, or applied AI/ML
• Strong Python (pandas, numpy) and SQL skills
• Experience working with structured and unstructured data (logs, emails, tickets, tables)
• Strong EDA skills with ability to identify patterns, anomalies, and data gaps
• Solid understanding of ML fundamentals (classification, clustering, evaluation) Experience or familiarity with NLP (text analysis, summarization, sentiment analysis)
• Familiarity with AI tools (Copilot, Cursor, etc.) and cloud platforms (Azure or AWS)
• Understanding of data engineering concepts (ETL/ELT, data pipelines, data cleaning)
• Strong problem-solving and analytical thinking
• Comfortable with ambiguity and messy data
• Good communication skills with ability to interact with clients and participate in
• discussions/interviews

Nice to Have

• Exposure to LLMs or advanced NLP tasks
• Experience with data visualization tools (Power BI, Tableau, matplotlib)

Important Note

• Willingness to work onsite at Johar Town (Lahore); this is an onsite role, and candidates not available
• for onsite work will not be considered
• Working Hours: Alignment with EST timezone (Eastern Standard Time) — expected availability from
• 5:00 PM PKT onwards
• Candidates with a primary focus on Computer Vision are strictly not considered for this role.