Senior ML Engineer

at Pi

Senior ML Engineer

Company

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Senior ML Engineer

at Pi

Posted by Priyank Tibrewal

4 - 7 yrs

Best in industry

Mumbai

Skills

Natural Language Processing (NLP)

Large Language Models (LLM) tuning

Transformer

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

About us:

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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About Pi

Founded :

2023

Type :

Product

Size :

20-100

Stage :

Raised funding

About

N/A

Company social profiles

N/A

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