Senior AI Architect

3 days ago


Delhi, Delhi, India Sequantix Full time
Senior Generative AI Engineer

We are seeking a highly skilled Senior Generative AI Engineer to lead the expansion of our Generative AI Minimum Viable Product (MVP) into additional frontline banking scenarios. As a key member of our team, you will be responsible for developing, fine-tuning, and deploying Generative AI models on Databricks and AWS platforms.

Key Responsibilities:

  • Generative AI Model Development:
    - Expand and enhance the existing Generative AI MVP to support new use cases for frontline bankers.
    - Design and fine-tune Llama 3 models and other advanced generative AI solutions for banking applications.
  • Integration & Deployment:
    - Integrate AI models with Databricks pipelines and AWS infrastructure for seamless scalability.
    - Deploy AI solutions in production environments, ensuring robustness and reliability.
  • Data Preparation & Processing:
    - Collaborate with data engineers to preprocess and manage large transactional datasets (cards, business banking, etc.) for AI readiness.
    - Ensure model input data adheres to quality and formatting standards for optimal performance.
  • Performance Optimization:
    - Monitor and optimize model performance in terms of accuracy, speed, and cost efficiency.
    - Experiment with hyperparameter tuning and distributed training techniques on Databricks clusters.
  • Collaboration:
    - Partner with data engineers and stakeholders to identify and prioritize AI use cases.
    - Provide technical leadership and mentorship to junior team members.
  • Research & Innovation:
    - Stay updated on the latest trends and technologies in Generative AI and machine learning.
    - Propose innovative solutions to enhance the effectiveness and scalability of AI-driven applications.

Required Skills & Experience:

  • Technical Expertise:
    - 6+ years of experience in AI/ML, with 3+ years in Generative AI model development (e.g., Llama, GPT, BERT, etc.).
    - Proficiency in Python, TensorFlow, PyTorch, and ML frameworks.
    - Expertise in NLP techniques, including transformers, embeddings, and large language models.
    - Experience with Databricks and AWS cloud services (e.g., SageMaker, Lambda, S3).
  • Ai Integration & Deployment:
    - Hands-on experience deploying AI models in production environments using MLOps pipelines.
    - Familiarity with integrating AI models into data pipelines and business workflows.
  • Problem-Solving & Leadership:
    - Strong problem-solving skills with a focus on designing scalable AI solutions.
    - Experience leading teams or mentoring junior engineers.
  • Soft Skills:
    - Excellent communication and ability to translate technical concepts into business language.
    - Strong collaboration skills to work with cross-functional teams.

Salary: $120,000 - $180,000 per year



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