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MLOPS Machine Learning Engineer

Infosys

Richardson (TX)

On-site

USD 107,000 - 162,000

Full time

6 days ago
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Job summary

Infosys is seeking an AI/ML OPS Engineer to design and deploy machine learning models using MLOPS frameworks. This role involves working closely with clients to identify their challenges and developing tailored solutions on Azure ML. The ideal candidate will possess significant experience in AI technologies and be adept in engaging with various stakeholders to drive value-adding initiatives.

Qualifications

  • At least 8 years in Information Technology.
  • Experience in MLOPS framework, monitoring and dashboarding.
  • 2 years of DevOps implementation experience.

Responsibilities

  • Design and deploy machine learning models using MLOPS.
  • Understand client issues and facilitate solution deployment on Azure ML.
  • Assess solutions considering varying stakeholder needs.

Skills

AI
MLOPS
LLM
NLP
GENERIC AI
APIs
Python Programming
Real time data retrieval
Reinforcement learning

Education

Bachelor’s degree or foreign equivalent

Tools

AZURE
GCP
JIRA
Arize
Aporia
Dynatrace
Pytest

Job description

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Infosys is seeking a AI/ML OPS Engineer with strong background in designing and deploying machine learning models using MLOPS framework. Ideal candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on Azure ML. One will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components. Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.

Required Qualifications:

  • Candidate must live within commuting distance of Richardson, TX, Raleigh, NC, Tempe, AZ, Hartford, CT, Indianapolis, IN, or be willing to relocate. This position may require travel in the US.
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 8 years of experience in Information Technology
  • Experience in AI, MLOPS, LLM, NLP, GENERATIVE AI, APIs
  • Experience in Real time data retrieval, LLM Reinforcement learning
  • Experience Python Programming for ML Model deployment with clean code standards, AI model deployment to production
  • Experience in AZURE or GCP Cloud environment
  • Professional experience setting up MLOPs Framework, monitoring and dashboarding of MLOPs runs
  • At least 2 years of implementation experience in DevOps
  • At least 2 years of experience in MLOPS Framework, industry standards and operations KPI
  • All applicants authorized to work in the United States are encouraged to apply.

Preferred Qualifications:

  • Familiar with Techniques – LoRA, PEFT, RLHF,
  • Familiar with Tools - Arize, Aporia, Dynatrace
  • Familiar with Vector Databases - Pinecode, Weaviate
  • Experienced in Agile way of working, manage team effort and track through JIRA
  • High Impact client communication
  • Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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