Etech Global Services

AI|ML Developer

Check with seller / month
Gandhinagar, Gujarat, India Work from home Active
Actively Hiring Gandhinagar Full Time
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Job at a Glance

Category
Work from home
Location
Gandhinagar, Gujarat, India
Salary
Check with seller
Job Type
Full Time
Company
Etech Global Services
Status
Open & Active

Job Description

Job Title: AI/ML Developer - Application Integration & Workflow Development

Work Location: Gandhinagar, Gujarat (Work From Home)

Shift: 7:00/8:00 PM – 4:00/5:00 AM



Experience Level: 2.5-5 years



Greetings from Etech Global Services,

Etech is based in Texas with eight other centers around the globe and a strength of 3000-4000 employees. ETS has a team of 200+ developers with diverse experience in technology stacks, business analysts, sales professionals, quality analysts, business development executives, project managers, helpdesk executives, and support executives. ETS has modeled various SaaS-based solutions and follows agile methodologies in enhancing them. Integrity, accountability, adaptability, and creativity are some of the core values of Etech; our team always has a better, faster, and more distinctive solution to client problems that align with their business objectives.



Read more about Etech at: https://etechgs.com/ and our Technology Unit – ETS at: https://www.etechtechnologysolutions.com/



What we offer:

Canteen Subsidy
Night Shift allowance as per process
Health Insurance
Tuition Reimbursement
Work-Life Balance Initiatives
Rewards & Recognition
Required Skills & Qualifications


Technical Skills:

Experience Level: 2.5-5 years



o Programming Languages:

▪ Python: Advanced proficiency in Python, particularly for integrating AI models into applications, automating workflows, and handling data processing tasks.

▪ JavaScript/TypeScript: Proficiency in JavaScript or TypeScript for developing and integrating frontend components that interact with AI models.



o Software Development & Integration:

▪ API Development: Experience in developing RESTful APIs and microservices that enable AI models to interact with applications and other systems.

▪ Containerization & Orchestration: Proficiency in using Docker and Kubernetes for containerizing AI applications and managing scalable deployments.

Frontend Integration: Ability to integrate AI models into frontend applications, ensuring smooth data flow and user interaction.
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