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AI ML Engineer
Optimum
AI ML Engineer
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AI ML Engineer

at Optimum

Agency job
3 - 14 yrs
₹15L - ₹26L / yr
Chennai, Bengaluru (Bangalore)
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
skill iconPython
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
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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