AI Solutions Architect

2 days ago

Kurnool, Andhra Pradesh, India beBeeArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About Our Team

We are a fast-growing enterprise SaaS startup dedicated to shaping the future of retail media.

This role combines technical leadership, applied research, and business impact, requiring expertise in machine learning, deep learning, natural language processing, and large language models.

You will drive innovation in Generative AI, lead applied research, and collaborate with product and engineering teams to deliver cutting-edge AI solutions.

Key Responsibilities:

  • Translate complex business problems into advanced statistical and ML frameworks.
  • Develop scalable ML and DL solutions with a strong emphasis on LLMs and Generative AI.
  • Build and optimize training, fine-tuning, evaluation, and deployment pipelines for LLMs.
  • Apply Responsible AI principles to ensure fairness, explainability, and bias mitigation.
  • Lead applied research and incorporate cutting-edge GenAI methods into production.
  • Build scalable data pipelines and end-to-end ML systems on cloud platforms.
  • Provide technical leadership to data scientists, analysts, and engineers.
  • Mentor junior talent, establish best practices, and influence the data science roadmap.
  • Partner with cross-functional teams to integrate AI solutions into customer-facing platforms.
  • Manage project execution, continuous improvement, and strategy alignment.

Must-Have Qualifications:

  • Master's or PhD in Computer Science, Statistics, Data Science, or related fields.
  • 8–12 years of applied data science/ML experience, with strong domain exposure to e-commerce, advertising, or retail.
  • 3–4 years of hands-on expertise in LLMs, Generative AI, and NLP.
  • 2+ years of leadership experience in guiding projects and teams.
  • Strong proficiency in Python, SQL, PyTorch/TensorFlow, and cloud ML platforms (AWS/GCP/Azure).
  • Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
  • Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
  • Strong data engineering skills for ETL and large-scale dataset processing.

Nice to Have:

  • Experience with ad-tech, ad-serving systems, or retail media platforms.
  • Applied research contributions (papers, patents, open-source projects).
  • Exposure to multimodal AI and personalization systems.
  • Hands-on experience with LangChain, Hugging Face, RAG, LoRA, and fine-tuning of LLMs.

Behavioral Competencies:

  • Business acumen: ability to map AI/ML solutions to strategic goals.
  • Strong communication and stakeholder management skills.
  • Proven leadership and mentoring capabilities.
  • Adaptability in a fast-paced, high-growth startup environment.
  • Innovative mindset with a passion for staying ahead of AI/ML trends.

Why Join Us?

  • Opportunity to build cutting-edge AI solutions.
  • Work with a world-class team of experts.
  • Be part of a fast-scaling SaaS startup.
  • Culture of innovation, ownership, and continuous learning.
  • Competitive compensation and growth opportunities.

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