Lead - Artificial Intelligence & Machine Learning

Description:

Seeking a Lead Engineer to drive the development and deployment of sophisticated AI solutions in our fintech products. You will lead a team of engineers, oversee MLOps pipelines, and manage large language models (LLMs) to enhance our financial technology services.

Key Responsibilities:

- AI/ML Development: Design and implement advanced ML models for applications including fraud detection, credit scoring, and algorithmic trading.

- MLOps: Develop and manage MLOps pipelines using tools such as MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation.

- LLMOps: Optimize and operationalize LLMs (e.g., GPT-4, BERT) for fintech applications like automated customer support and sentiment analysis.

- Technical Leadership: Mentor and lead a team of ML engineers and data scientists, conducting code reviews and ensuring best practices.

- Collaboration: Work with product managers, data engineers, and business analysts to align technical solutions with business objectives.

Qualifications:

Experience: 6-10 years.

- Strong hands-on experience on Gen AI, ML Ops, Machine Learning, and CI/CD, RAG, OCR.

- Should have developed the LLM models.

- Should have hands on experience on Lan graph, Lang chain, Cloud 3.5, Open AI, Gemini (any of them).

- Should have worked in data engineering as well.

- Hand on experience on Documents parsing Solution and LLM Based, Rule based.

Technical Skills: Expertise in TensorFlow, PyTorch, scikit-learn, and MLOps tools (MLflow, Kubeflow). Proficiency in large language models (LLMs) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or Scala.