
Similar jobs (10)
Job Description – Assistant Manager Maintenance
Position: Assistant Manager – Maintenance
Qualification: Diploma in Electrical, Mechanical, or Automobile Engineering
Experience: 5–6 Years
Industry: Automotive / Manufacturing
Job Summary
We are looking for an experienced Assistant Manager – Maintenance to manage preventive, predictive, and breakdown maintenance activities for production machines and equipment. The candidate should have strong troubleshooting, maintenance planning, team management, and continuous improvement skills.
Key Responsibilities
- Plan and execute preventive, predictive, and breakdown maintenance.
- Ensure maximum machine uptime and minimum production downtime.
- Troubleshoot mechanical, electrical, pneumatic, and hydraulic issues.
- Prepare and follow preventive maintenance schedules.
- Monitor machine performance and improve equipment efficiency.
- Maintain maintenance records, breakdown reports, and spare parts inventory.
- Coordinate with Production, Quality, and Stores teams.
- Supervise the maintenance team and ensure safety compliance.
- Support TPM, 5S, Kaizen, and continuous improvement activities.
2. Backend, data entry experience (experience of working with Govt. Municipal project plus)
3 experts in the products that their company manufactures and develops.
4. find solutions to problems with the products and help customers work through technical difficulties.
5. Filing reports regarding product problems.
6. Researching technical issues.
7. Managing and processing customer orders
8. Walking customers through solutions
9. Reviewing product change requests
10. Learning about product updates and new technologies etc.
Compensation: 15K NTH-25K NTH (depending upon current CTC & experience)
Experience- 1.3 yeras
Role 1 year contractual role
Location-Odisha
AI Engineer (Preferred Years of Experience: 8 years)
We are seeking a highly skilled Full Stack AI Engineer to design, build, and scale intelligent applications across the full technology stack. This role combines strong backend and frontend engineering expertise with applied AI/ML implementation in enterprise cloud environments.
You will work closely with product managers, architects, data scientists, and DevOps teams to deliver production-grade AI-powered solutions that are secure, scalable, and aligned with business objectives.
This is a hands-on engineering role requiring experience across application development, AI model integration, cloud architecture, and DevSecOps practices.
Key Responsibilities
AI / Machine Learning
- Design and implement AI/ML solutions for real-world business use cases.
- Integrate ML models (e.g., forecasting, classification, NLP, computer vision) into production-grade applications.
- Develop APIs and services that expose AI capabilities securely and efficiently.
- Optimize model performance, latency, scalability, and monitoring in production.
- Implement model lifecycle management (training, deployment, monitoring, retraining).
Backend Development
- Design and develop scalable RESTful and/or GraphQL APIs.
- Build microservices-based architectures.
- Implement authentication, authorization, and secure API access.
- Develop data pipelines and integrate with structured and unstructured data sources.
- Ensure high availability, performance tuning, and observability.
Frontend Development
- Develop responsive, user-friendly web applications.
- Build interactive dashboards and AI-driven user experiences.
- Integrate frontend applications with backend AI services.
- Ensure accessibility, usability, and performance optimization.
Cloud & DevOps
- Deploy applications and models in cloud environments (Azure, AWS, or GCP).
- Implement CI/CD pipelines for application and model deployment.
- Apply infrastructure-as-code (Terraform, ARM, Bicep, etc.).
- Implement monitoring, logging, and alerting.
- Ensure security compliance and enterprise-grade governance.
Architecture & Collaboration
- Participate in solution architecture and design discussions.
- Translate business requirements into technical solutions.
- Collaborate with cross-functional teams (product, security, data, UX).
- Contribute to technical standards, best practices, and code reviews.
Required Qualifications
- 8 years of full stack software engineering experience.
- Hands-on AI/ML implementation in production environments.
- Strong proficiency in: Python (FastAPI, Flask, or Django), JavaScript/TypeScript (React, Angular, or Vue), REST API development
- Experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, or equivalent).
- Experience deploying AI workloads in cloud environments (Azure ML, SageMaker, Vertex AI, etc.).
- Experience with relational and NoSQL databases.
- Strong understanding of software engineering principles and design patterns.
- Experience with Docker and container orchestration (Kubernetes preferred).
- Knowledge of secure coding practices and enterprise security standards.
Preferred Qualifications
- Experience with enterprise AI governance and responsible AI frameworks.
- Experience with MLOps and model monitoring tools.
- Knowledge of distributed systems and event-driven architectures.
- Experience with vector databases and semantic search (if applicable to organization).
- Experience in regulated industries (financial services, healthcare, public sector).
- Experience working in Agile/Scrum teams.
Key Competencies
- Strong problem-solving and analytical skills.
- Ability to translate complex AI concepts into scalable technical solutions.
- Excellent communication and stakeholder engagement skills.
- Ownership mindset with the ability to operate independently.
- Strong attention to performance, security, and maintainability.
We are a tech venture which provides Product Engineering, QA Automation, Infrastructure, Data, and Market Research services.
Technical Proficiency :
Must have :
-
Strong development experience in Python in the environment of Unix/Linux/Ubuntu
-
Strong practical knowledge of Python and its libraries.
-
Current working experience with cloud deployment of AWS/Azure/GCP, Microservice architecture, and Docker in Python.
-
Good knowledge of CI/CD and DevOps practices
-
Good Experience of Python with Django/ Scrapy/ Flask frameworks.
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Good Experience in Jupyter/ Docker/ Elastic Search, etc.
-
Solid understanding of software development principles and best practices.
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Strong analytical thinking and problem-solving skills.
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Proven ability to drive large-scale projects with a deep understanding of Agile SDLC, high collaboration, and leadership.
Good to have : -
Expected to have migration experience from one version to the other, as this project is about migration to the latest version.
-
Preferred if had an OpenEdx platform experience or any LMS platform.
Hands-on experience in C#, http://asp.net/" target="_blank">ASP.NET, MVC, Web API, SQL Server.
· Experience in latest .Net framework versions (4/4.5/.Net Core 2.0 Frameworks), SQL Server 2008/2012.
· Experience in OOPS, HTML5, Bootstrap,CSS, AJAX/ JavaScript/ JQuery/ AngularJS and Angular 2.0 and web development.
· Excellent communication, analytical and interpersonal skills.
· .NET Full Stack (C#, MVC / .Net Core, WEB API, JSON, REST, JavaScript, Ajax)
· Good knowledge on Angular development, Angular JS
· knowledge in Azure cloud solutions.
· Developing and Hosting REST API Swagger and integration with angular.
Any Technical Graduate related to Computer / IT. BCA / MCA, BSC IT / MSC IT, BE / B. Tech, 3 year Computer Diploma / DCA after 12th , Computer science Grads / PG, Bachelor in Computer management, PGD ISM. GNIIT etc. / CCNA certified.
Non-Technical Graduates / mechanical / electrical / civil engineers are not eligible.
Skill set
Minimum 6 months from in a networking troubleshooting process.
Certification on networking concepts will be preferred / desired but not mandate.
Handling Internet Troubleshooting Issues relevant to Computers, Application, Basic Networking, LAN, WAN Technologies.
Basics understanding of Hardware and Software.
Should possess good English verbal skills
Should know basics of computer and knowledge of MS Office (Word, Excel, PowerPoint) and latest operating systems
Typing 25 WPM and 80% accuracy.
Should be ok with Night Shifts and Willing to work from Office – Transport boundary attached.
Job Responsibility
L1 Network Tech Support –Candidate would be responsible for handling customer calls and troubleshooting technical issues related to Netgear Devices. Acquiring knowledge about the newly released products and recent updates.
Willing to provide resolution in the first interaction with the customer.
Excellent Customer Service Skill Set by providing a friendly environment, which includes greeting and acknowledging every customer.
Interview
RMG Screening
VnA Round – Versant 57-58 quality
Tech Test & Typing Test
OPS Round.
Transport Boundary
Hiring zone list AttachedOther important things
- Joining location Noida and it is Work from Office only (no work from home).
- Candidate should have got at least 1 shot of covid vaccination.
- Candidate should be as per transport boundary only. People in no hiring zone to relocate in hiring zone first.
- Candidate should be ok with 24*7 and no planned leave in next 3 months
- 2 week off split.
- Prior exp in chat int. Ecomm is mandatory.
Experience: 3+ Years
Job Location: Nagpur
Required Skills:
-3+ years total of experience in SDLC
-Should have a strong knowledge of Node JS, Vue JS, Javascript.
-Experience in Version Control Systems like GIT, Bitbucket.
Proven Skills with HTML5, CSS, MySQL and Postgres database etc.
-Ability to complete all phases of the software development life cycle.
-Should have a working knowledge of using the latest development tools and techniques.
-Basic knowledge of front end UI design preferred.
-Must have good problem solving and analytical skills.
-Must be a team player, having good communication skills, self-starter
-The ability to pick up new technology is needed.
Nice to have:
-.Netcore, MVC & SQL Server
-Amazon s3 basic knowledge and digital ocean basic knowledge
As a Lead Solutions Architect at Aganitha, you will:
* Engage and co-innovate with customers in BioPharma R&D
* Design and oversee implementation of solutions for BioPharma R&D * Manage Engineering teams using Agile methodologies
* Enhance reuse with platforms, frameworks and libraries
Applying candidates must have demonstrated expertise in the following areas:
1. App dev with modern tech stacks of Python, ReactJS, and fit for purpose database technologies
2. Big data engineering with distributed computing frameworks
3. Data modeling in scientific domains, preferably in one or more of: Genomics, Proteomics, Antibody engineering, Biological/Chemical synthesis and formulation, Clinical trials management
4. Cloud and DevOps automation
5. Machine learning and AI (Deep learning)








