ML Senior Engineer

2 weeks ago

Mumbai, India Pi Full time

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.


We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.


Qualifications:

  • Overall experience of 4 to 7 years in ML
  • B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)


Requirements:

  • Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
  • Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
  • Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
  • Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
  • Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
  • Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
  • Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
  • Proficient in writing GPU kernels using CUDA .
  • Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
  • Developed novel techniques for ML model measurement and mitigation.
  • Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
  • Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
  • Experience with MongoDB, MySQL, and Vector databases.
  • Experience with analytics.
  • Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
  • Experience in mentoring and growing engineers.


Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup

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