Expertise in automating the manual tasks with Batch - Shell scripting, API framework development, Automation framework migration
Functional expertise on Eclipse - Java, TestNG,Maven, Web application automation, Senstalk
Exposure to the applications launched on the Linux platforms.
The role expects overall strong exp in Web Testing, DB test, and API Test areas.
Strong knowledge of Scripting and Framework (Selenium Webdriver, Appium and API)

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Location: Mumbai (Onsite)
Experience: 6–8 Years
Salary: ₹75,000 – ₹1,20,000 per month (depending on experience & skill set)
Employment Type: Full-time
Job Description
We are looking for an experienced PHP – Laravel Developer to join our onsite team in Mumbai. The ideal candidate should have strong backend expertise in Laravel along with advanced frontend knowledge, the ability to work closely with clients, and experience managing tasks using project management tools.
Key Responsibilities
- Develop, maintain, and enhance web applications using PHP and Laravel
- Build and consume RESTful APIs
Required Skills & Qualifications
- 4–6 years of hands-on experience in PHP development
- Strong expertise in Laravel framework (Laravel 10+)
- Solid understanding of MVC architecture
- Strong knowledge of JavaScript
- React.js experience (good to have working knowledge)
- TypeScript – good to know
- Advanced frontend knowledge using HTML, CSS, JavaScript
- Experience with Tailwind CSS
- Strong experience with MySQL
- Hands-on experience with REST APIs
- Proficiency in Eloquent ORM
- Familiarity with Git / version control
- Experience working in Linux environments
Additional Requirements
- Excellent client communication skills
- Ability to understand business requirements and translate them into technical solutions
- Experience using project management tools (Jira, Trello, ClickUp, etc.)
- Ability to work independently and take ownership of modules
Good to Have (Preferred Skills)
- Exposure to CI/CD pipelines
- Basic understanding of application security best practices
- Experience working in Agile/Scrum environments
What We Offer
- Competitive salary based on skills and experience
- Onsite role with a collaborative work environment
- Opportunity to work directly with clients
- Growth opportunities and exposure to modern tech stack
Job Type: Full-time
Application Question(s):
- If selected, how soon can you join?
Experience:
- Total: 5 years (Required)
- Laravel: 5 years (Required)
Location:
- Mumbai, Maharashtra (Required)
Work Location: In person
Job Type: Full-time
Application Question(s):
- Are you located in Mumbai ? Commuting to Borivali(West) would be feasible for you ?
- What is your notice period ?
- Are you okay with the salary slab between (70,000-1,20,000),
depending upon your experience ?
- Do you have 6–8 years of hands-on experience working onsite on production applications using Laravel 10+, JavaScript, React.js, Tailwind CSS, REST APIs, direct client communication, and project management tools?”
Work Location: In person
Key Responsibilities
1. Material & Production Quality Control
Inspect incoming façade materials (aluminum profiles, glass, brackets, sealants,
fasteners, etc.) for compliance with approved specifications.
Monitor façade fabrication processes, including cutting, machining, assembly, and
glazing to ensure adherence to quality standards.
Verify proper calibration and operation of machinery used in façade production.
Conduct in-process and final inspections of façade panels and units.
2. Installation Site Quality Control
Inspect façade installation on-site, ensuring alignment, fixing, sealing, waterproofing,
and thermal insulation meet approved drawings and method statements.
Monitor installation tolerances, anchorage systems, and structural safety
requirements.
Identify non-conformities at the site and ensure corrective actions are implemented.
3. Testing & Compliance
Conduct or supervise façade-related tests such as water penetration tests, air
infiltration tests, structural load tests, adhesion tests, and visual inspections.
Ensure compliance with project specifications, international standards (ASTM, BS,
EN, ISO), and local building regulations.
Prepare and maintain test reports, inspection checklists, and NCRs (Non-
Conformance Reports).
4. Documentation & Reporting
Maintain detailed QC documentation including ITPs (Inspection & Test Plans), MIRs
(Material Inspection Requests), WIRs (Work Inspection Requests), and QC daily
logs.
Support QA/QC Manager in compiling QA documentation for project handover.
Track and follow up on corrective actions and improvements.
5. Coordination & Communication
Coordinate with production supervisors, site engineers, project managers, and
subcontractors regarding quality issues.
Participate in quality meetings, site inspections, and audits.
Provide technical guidance and training on quality procedures for façade works.
Qualifications & Skills
Education
Diploma or Bachelor’s Degree in Civil Engineering, Mechanical Engineering,
Architecture, or related field.
Experience
2–7 years of experience in façade QC, curtain wall systems, cladding, or
aluminum/glass fabrication.
Knowledge of façade materials, production processes, and installation techniques.
Technical Skills
Familiarity with quality standards: ASTM, EN, BS, ISO.
Ability to read engineering drawings and façade shop drawings.
Knowledge of QA/QC procedures, ITPs, and NCR management.
Understanding of façade testing procedures.
About CoPoint AI
CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.
Our Vision
We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack
Our Values
- Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
- In Partnership: With our Team, For our Clients, In our communities.
- Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.
Role Overview
As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.
Key Responsibilities
- Lead design and implementation of end-to-end data, AI, and web application solutions
- Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
- Develop and optimize secure, scalable APIs and microservices using cloud-native principles
- Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
- Guide teams in AI-assisted software development lifecycle improvements
- Build frameworks for responsible AI governance and model monitoring
- Comprehensive understanding of the AI solution landscape
- Leadership experience in AI-enabled digital transformation initiatives
- Expertise in AI adoption strategies and change management
- Ability to translate AI capabilities into measurable business value
- Design multi-model architectures combining analytics, AI, and web experiences
- Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
- Manage project work streams and lead cross-functional delivery teams
- Cultivate and manage client relationships, providing strategic and technical guidance
- Identify and propose innovation opportunities through data and digital experiences
- Mentor junior developers, analysts, and consultants
- Ensure high quality and consistency in solution delivery and user experience
Qualifications
- Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI).
- Proven experience implementing enterprise AI solutions on Azure
- Advanced knowledge of large language models and their business applications
- Expertise in AI-enhanced software development methodologies
- Experience with AI model evaluation, validation, and responsible deployment
- Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services
- Experience integrating AI into existing enterprise applications and data platforms
- Experience managing client expectations and delivering high-quality solutions
- Strong technical leadership and problem-solving capabilities
- Excellent communication and presentation skills
- Ability to anticipate client needs and propose strategic solutions
What should You expect:
- A culture of continuous learning with certification support.
- Clear career advancement pathways.
- Competitive compensation and benefits.
- Flexible work arrangements.
- A collaborative environment that values innovation and creativity.
Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.
Location:Chennai
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
· To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies
· Design and develop AI//ML models to be deployed across SG factories
· Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
· Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
· Prior experience in developing AI and ML models is required
· Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
· Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
· Multitasking, good communication necessary
· Entrepreneurial attitude.
We are looking for a motivated full-stack engineer who is proficient in both front-end and back-end technologies. Responsibilities include designing, building, and maintaining web applications, databases, and APIs that enable businesses to operate efficiently.
Responsibilities
- Develop, test, and deploy fast and scalable web apps.
- Designing and maintenance of fully functional large relational and non-relational databases.
- Timely deployment of web apps on the cloud.
- Server management and cloud-based infrastructure.
- Establishment and integration of development tools as required.
- Conducting code reviews of peer developers.
Requirements
- 2 years in MEAN Stack Development.
- Expertise in technologies - MongoDB, ExpressJS, and NodeJS.
- High-quality programming skills for a robust design.
- Experience in application architecture, server management, cross-browser compatibility, responsive design, and website performance.
- Understanding of DB architecture design and programming templates, Agile methodologies, and client-side and server-side procedures.
- BE/ B. Tech/ MCA.
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner.
Pre-requisites for the Role
- Job ID-EMPY0120MS
- Primary skill: Python Developer, Django, Problem solving.
- Secondary skill: Rest, API
- Years of Experience: 4-7 Years
- Location: Remote
Budget- Open
NP- Immediate
PYTHON DEVELOPER
- Design, build, and maintain efficient, reusable, and reliable Python code
- Design and implement software platform with Microservices Architecture, based on AWS Lambda and Event sourced data
- Integration of data storage solutions {may include databases, key-value stores, notification queues, etc.}
- Integration with various backend monitoring tools
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization and automatization
- Participate in early product demonstrations to customersExperience required:
- Bachelor's or Masters in Computer Science or a related discipline
- 2-6 years of relevant professional experience
- Delivery of quality results within aggressive timelines
- Knowledge of software development processesSkills Required:
- Experience with Python, along with other common libraries/framework such as Flask, Celery, Django etc.,
- Good understanding with usage of Lambda in Python.
- Good understanding in testing frameworks like PyTest.
- Ability to work with IDEs like Visual Studio Code.
- Basic understanding in developing private PIP packages.
- Solid understanding of object-oriented programming.
- Familiarity with concepts of MVC, Mocking, ORM, and RESTful.
- A knack for writing clean, readable Python code.
- Ability to integrate multiple data sources and databases into one system.
- Ability to understand monitoring metrics, such as CPU, Memory, Disk Space, Network latency, and telemetry services.
- Understanding of fundamental design principles behind a scalable application.
- Understanding the fundamentals of RDBMS databases.
- Ability to work with PostgreSQL is a plus.
- Ability to work with AWS services like Lambda, Kinesis, SQS, SNS etc., is a plus.
- Proficient understanding of Git.
- Familiarity with continuous integration and continuous deployment.
- Effective verbal and written communication skills.
Role: Web Designer/ Developer
·Conceptualise the design, formatting requirements, understand end-user needs and strategy development for building the components of the website
· Candidates should be able to visualize responsive website designs
· Good knowledge in building web design templates with relevant tools
· Ability to create Mobile Responsive Designs
·Understand the FTP to upload and maintain web pages to the webserver is a plus
·Experience in JavaScript, jQuery, HTML, HTML5, CSS, CSS3, Bootstrap, Photoshop and Illustrator.
·Capable to work under deadlines and contributes towards team efforts.
· Ability to work on multiple projects & able to interact with clients.
Desired Technical Skills:
·Require excellent knowledge in HTML, HTML5, CSS, CSS3, jQuery, JavaScript & Bootstrap
·Knowledge in integrated development tools as Dreamweaver & Visual Studio
·Experience in Photoshop, CorelDRAW, and Video Editing
Education: Any degree/ Diploma.
Experience: 6 m- 2 yr.
Salary: As per industry standards.
.
Job description
Experience:
11+ years of industry experience in a technical role with hands-on coding experience.
Requirements :
Must be an expert in Java programming. Additionally, Grails & Groovy's programming knowledge
is good to have.
Good at SQL and RDBMS.
Excellent knowledge of data structures and algorithmic processes for optimizing size/speed.
Good at designing multi-layered cloud solutions.
Proven capabilities in designing and implementing highly scalable performant distributed
services.
Proficiency in Build, Test and Automation tools preferred (Jenkins, Ansible, GitLab etc).
Responsibilities
Design and implement platform solutions that help build high-performance distributed systems.
Have a big focus and sizing, tuning and scalability of software components.
Design and communicate requirements related to project planning, architecture, design, implementation, sizing, tuning and scalability.
Lead engineering activities to make sure that consistent high-quality products are developed.
Proactively diagnose problems and envisage the long-term life of the product focusing on reusable, extensible components.
Ensure agile delivery processes.
Communicate and facilitate solutions, support, product management and business teams with required product knowledge.
Build best practices in the engineering team.









