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求人Infosys

ML Engineer - Computer Vision

Infosys

ML Engineer - Computer Vision

Infosys

Richardson, TX

·

On-site

·

Full-time

·

1d ago

Infosys is seeking a ML Engineer with expertise in Computer Vision, Edge AI deployment, GCP cloud services, and retail domain workflows. Candidate will be responsible for designing scalable ML pipelines, optimizing CV models for edge devices, and operationalizing AI solutions in production environments using MLOPS framework for Model Management. Candidate will work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on GCP cloud.

Required Qualifications:

  • Candidate must be located within commuting distance of Richardson, TX or be willing to relocate to the area. 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
  • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
  • At least 4 years of experience in Information Technology
  • Strong hands-on experience with MLOps, model deployment, CI/CD, and monitoring.
  • Proficiency in Computer Vision frameworks: OpenCV, Tensor Flow, Py Torch, ONNX, YOLO, etc
  • Experience deploying AI models on edge devices, Deepstream, Nvidia Services
  • Advanced Python development skills with experience in designing scalable ml systems, automations, sdk, multiprocessing etc
  • Hands-on with containerization,model optimization, and hardware acceleration
  • Solid understanding of data pipelines,feature stores, and ML model lifecycle
  • Implementation of MLOps tools like Grafana, Prometheus, Poetry, Snyk and others

Preferred Qualifications:

  • Experience with GCP cloud services and Kubernetes
  • Experienced in Agile way of working, manage team effort and track through JIRA
  • Certifications in GCP, MLOps and Computer vision Technology
  • High Impact client communication
  • Domain experience with Retail Clients
  • Strong problem-solving skills and ability to evaluate multiple solution paths
  • Excellent communication and stakeholder management skills

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

    • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
  • Paid holidays plus Paid Time Off

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模擬応募者数

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スクラップ

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Infosysについて

Infosys

Infosys

Public

Infosys Limited is an Indian multinational technology company that offers information technology, business consulting, and outsourcing services. Founded in 1981 by seven engineers, the company is headquartered in Bengaluru and considered one of the Big Six Indian IT companies.

10,001+

従業員数

Bengaluru

本社所在地

$72B

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

3.7

報酬

2.8

企業文化

4.1

キャリア

3.2

経営陣

3.4

75%

友人に勧める

良い点

Flexible work hours and remote work options

Good learning opportunities and training programs

Collaborative environment and supportive colleagues

改善点

High workload and long hours during deadlines

Low salary and uncompetitive pay

Limited career advancement and growth opportunities

給与レンジ

220,463件のデータ

Senior/L5

Senior/L5 · Data Scientist

0件のレポート

$933,861

年収総額

基本給

$933,861

ストック

-

ボーナス

-

$793,782

$1,073,940

面接体験

2件の面接

難易度

3.5

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 50%

ネガティブ 50%

面接プロセス

1

Application Review

2

Online Assessment

3

Technical Interview

4

HR Round

5

Final Decision

よくある質問

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Problem Solving