Etech Global Services
AI|ML Developer
₹ Check with seller / month
✓ 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.
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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