Artificial Intelligence Solutions Architect

1 week ago

Palakkad, Kerala, India beBeeDataScientist Full time ₹ 22,50,000 - ₹ 2,81,25,000

We are seeking a visionary to design, build and scale artificial intelligence solutions for retail media and ad-tech.

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

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.

Our team values innovation, adaptability and passion for staying ahead of AI/ML trends.

Join our fast-scaling SaaS startup with global Tier 1 retailers as clients and be part of shaping the future of retail media.

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