What are the responsibilities and job description for the AI/ML Engineer, Gen AI, Python, SQL, Devops, Terraform, Tensorflow/Pytorch, NYC 12 month position at ZnA Inc?
Job Id: 3335 L4
Duration: 12 Months
Location: NYC
Title: AI/ML Solutions Engineer, Gen AI, Python, Data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security, Devops, CI/ CD, Terraform, Bit Bucket, GitHub, Tensorflow/Pytorch, NYC 12 month
Description:
AI Development Solution Engineer (VP)
Job Description
Our Firm has been at the forefront of the AI journey with applications such as Genome and AI@MS Assistant that use AI to provide better, personalized advice to our clients. Generative AI provides unique opportunities to provide new capabilities to the firm's internal users as well as our clients.
This role is for a Senior engineer who will help build a firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise.
The ideal candidate will have strong hands-on experience of building software platforms, data engineering, API based development, REST framework etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable.
The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements.
This role requires a strong combination of both development and infrastructure knowledge and experience. The successful candidate must be able to demonstrate technical leadership with a track record of developing and driving innovative solutions.
Primary responsibilities
- Build POC's and example code through which developers can access Gen AI models via standard APIs.
- Develop tooling and self-service capabilities for deploying AI solutions. Collaborate with developers to enhance the developer experience when building and deploying AI applications.
- This is a customer-facing role and excellent soft communications skills are mandatory.
- Integrate with capabilities such as large-scale vector stores for embeddings.
- Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
- Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
- Contribute to major design decisions and product selection for building Generative AI solutions.
Required Skills
- Strong hands-on Application Development background in at least one prominent programming language, preferably Python
- Broad understanding of Data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security Demonstrated experience in DevOps, understanding of CI/ CD.
- Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
- Experience deploying resources to the cloud and using Terraform to do so.
- Ability to articulate technical concepts effectively to diverse audiences.
- Strong desire and ability to influence development teams and help them adopt AI.
- Demonstrated ability to work effectively in a global organization and across time zones.
- Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
- Understanding of Information Security, Secure coding practices
Desired Skills
- Experience working with application development teams to enable them to build AI based applications.
- Ability to create code samples to be shared with application teams.
