Description

Lead the design, development, and deployment of AI/ML solutions that enhance lead generation workflows and advertiser performance.

Build and optimize predictive, NLP, and LLM-based models to power automation, personalization, and recommendation systems.

Design experimentation frameworks and analyze results to guide product and business decisions.

Develop scalable data pipelines and ETL workflows to support real-time and batch analytics.

Implement and maintain production-ready ML systems with strong governance, monitoring, and reliability.

Partner with product, engineering, and analytics teams to deliver end-to-end AI features.

Drive innovation by evaluating and applying emerging AI/ML and GenAI technologies.

Communicate insights and model results to technical and non-technical stakeholders.

Establish best practices for data security, compliance, and responsible AI usage.

What We’re Looking For

Required Qualifications

8+ years of experience in data science, machine learning, or software engineering roles.

Strong hands-on experience with Python, SQL, and modern ML frameworks.

Proven experience building and deploying machine learning models in production.

Experience working with LLMs and Generative AI models (e.g., Llama, Gemini, or similar).

Solid background in data mining, predictive modeling, and statistical analysis.

Expertise in designing and evaluating experiments and A/B tests.

Experience working with large-scale data systems (Hadoop, Hive, Presto, BigQuery, etc.).

Strong communication and cross-functional collaboration skills.

Ability to operate independently in fast-paced, ambiguous environments.

Preferred Qualifications

Experience in advertising, marketing analytics, growth, or lead optimization.

Background in building AI-powered recommendation or decision-support systems.

Cloud experience with AWS and/or GCP.

PMP or equivalent project leadership experience.

Experience driving high-impact initiatives from ideation to launch

Key Skills

Education

Any Gradute