AI ML Engineer

Optimum

AI ML Engineer

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AI ML Engineer at Optimum · Chennai, Bengaluru (Bangalore) · 3 - 14 years · ₹15L - ₹26L / yr · Posted 21 Aug 2024

AI ML Engineer

at Optimum

Agency job

via Pluginlive

3 - 14 yrs

₹15L - ₹26L / yr

Chennai, Bengaluru (Bangalore)

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Python

SQL

Company: Optimum Solutions

About the company: Optimum solutions is a leader in a sheet metal industry, provides sheet metal solutions to sheet metal fabricators with a proven track record of reliable product delivery. Starting from tools through software, machines, we are one stop shop for all your technology needs.

Role Overview:

Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
Implementing automated testing platforms, unit tests, and CICD Pipeline
Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
Understanding of container platform, such as Docker

Job Description

We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
You will be responsible for prompting and building use case Pipelines
Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience: 4-6 years

CTC: 16.5 - 17 LPA

Employment Type: Full Time

Key Responsibilities:

Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
Design and develop prompts suiting project needs
Lead and manage team of prompt engineers
Stakeholder management across business and domains as required for the projects
Evaluating base models and benchmarking performance
Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
Develop, deploy and maintain auto prompt solutions
Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

Strong proficiency with Python, DJANGO framework and REGEX
Good understanding of Machine learning framework Pytorch and Tensorflow
Knowledge of Generative AI and RAG Pipeline
Good in microservice design pattern and developing scalable application.
Ability to build and consume REST API
Fine tune and perform code optimization for better performance.
Strong understanding on OOP and design thinking
Understanding the nature of asynchronous programming and its quirks and workarounds
Good understanding of server-side templating languages
Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
Integration of APIs, multiple data sources and databases into one system
Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
Understanding fundamental design principles behind a scalable and distributed application
Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
Experience in deploying on Cloud platform like Azure or AWS
Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

Company: Optimum Solutions

Role Overview:

Creating and managing database schemas that represent and support business processes, Hands-on experience in any SQL queries and Database server wrt managing deployment.
Implementing automated testing platforms, unit tests, and CICD Pipeline
Proficient understanding of code versioning tools, such as GitHub, Bitbucket, ADO
Understanding of container platform, such as Docker

Job Description

We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework.
Your primary focus will be working the Product and Usecase delivery team to do various prompting for different Gen-AI use cases
You will be responsible for prompting and building use case Pipelines
Perform the Evaluation of all the Gen-AI features and Usecase pipeline

Position: AI ML Engineer

Location: Chennai (Preference) and Bangalore

Minimum Qualification: Bachelor's degree in computer science, Software Engineering, Data Science, or a related field.

Experience: 4-6 years

CTC: 16.5 - 17 LPA

Employment Type: Full Time

Key Responsibilities:

Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various Gen-AI base models
Design and develop prompts suiting project needs
Lead and manage team of prompt engineers
Stakeholder management across business and domains as required for the projects
Evaluating base models and benchmarking performance
Implement prompt gaurdrails to prevent attacks like prompt injection, jail braking and prompt leaking
Develop, deploy and maintain auto prompt solutions
Design and implement minimum design standards for every use case involving prompt engineering

Skills and Qualifications

Strong proficiency with Python, DJANGO framework and REGEX
Good understanding of Machine learning framework Pytorch and Tensorflow
Knowledge of Generative AI and RAG Pipeline
Good in microservice design pattern and developing scalable application.
Ability to build and consume REST API
Fine tune and perform code optimization for better performance.
Strong understanding on OOP and design thinking
Understanding the nature of asynchronous programming and its quirks and workarounds
Good understanding of server-side templating languages
Understanding accessibility and security compliance, user authentication and authorization between multiple systems, servers, and environments
Integration of APIs, multiple data sources and databases into one system
Good knowledge in API Gateways and proxies, such as WSO2, KONG, nginx, Apache HTTP Server.
Understanding fundamental design principles behind a scalable and distributed application
Good working knowledge on Microservices architecture, behaviour, dependencies, scalability etc.
Experience in deploying on Cloud platform like Azure or AWS
Familiar and working experience with DevOps tools like Azure DEVOPS, Ansible, Jenkins, Terraform

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