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Python
Machine Learning (ML)
Data ScienceDo you want to help build real technology for a meaningful purpose? Do you want to contribute to making the world more sustainable, advanced and accomplished extraordinary precision in Analytics?
What is your role?
As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
What you’ll do
- You will be working with the core R&D team which drives the computer vision and image processing development.
- Build deep learning model for our data and object detection on large scale images.
- Design and implement real-time algorithms for object detection, classification, tracking, and segmentation
- Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
- Automate the workflow process between the fast-paced data delivery systems.
What we are looking for
- 1 to 3+ years of professional experience in computer vision and machine learning.
- Extensive use of Python
- Experience in python libraries such as OpenCV, Tensorflow and Numpy
- Familiarity with a deep learning library such as Keras and PyTorch
- Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO
- Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment
- B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree
- Dockerization, AWS modules and Production level modelling
- Basic knowledge of the Fundamentals of GIS would be added advantage
Prefered Requirements
- Experience with Qt, Desktop application development, Desktop Automation
- Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS
About Datasee.AI:
Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
With Sales & Operations based out of US, Europe & India, Datasee.AI is a team of 32 people located across different geographies and with varied domain expertise and interests.
A focused and happy bunch of people who take tasks head-on and build scalable platforms and products.
- Strong wordpress fullstack developer profile:
- Mandatory (Experience 1) - 9+ years of experience as wordpress developer (full stack)
- Mandatory (Experience 2) - Must have 5+ years of experience in Front-end Development using HTML, CSS, Javascript, React JS
- Mandatory (Skills 1) - Must have experience working with Creative/Design team for website development
- Mandatory (Skills 2) - Basic Knowledge of Adobe photoshop/Illustrator
Preferred
- Preferred (Experience 1) - Familiarity with APIs, AI tool integrations
- Preferred (Experience 2) - Ex
React.jsAbout Ampera
Ampera builds enterprise-grade AI platforms that sit at the intersection of large-scale data systems, intelligent orchestration, and applied AI.
Our products help Fortune 1000 companies optimize operations, manage risk, and unlock decision intelligence using AI, LLMs, and agentic workflows.
Role Overview
We are looking for a strong Full Stack Engineer who has built production-grade enterprise applications, worked with large datasets, and is excited about integrating AI systems and LLM-powered workflows into real-world platforms.
This is not a UI-only or API-only role.
You’ll own end-to-end system design, from frontend experiences to backend orchestration and AI integration.
What You’ll Work On
- Enterprise web platforms used by analysts, admins, and leadership
- High-scale data-intensive applications (query orchestration, risk intelligence, estimation engines)
- AI-augmented workflows (LLMs, agents, optimizers, explainability layers)
- Secure, governed, multi-tenant systems with role-based access
Key Responsibilities
Full Stack Development
- Design and build scalable web applications (frontend + backend)
- Develop API-first backend services for enterprise workflows
- Build admin dashboards, analyst workflows, and decision-ready UIs
- Ensure performance, reliability, and maintainability at scale
Backend & Data Systems
- Work with large-scale relational databases (Azure Synapse, Redshift, Snowflake, PostgreSQL, SQL Server, etc.)
- Design data models for high-volume, analytical workloads
- Implement caching, orchestration, background processing, and async workflows
- Integrate with enterprise systems (identity, BI tools, data platforms)
AI / LLM Integration
- Integrate LLMs (OpenAI, Azure OpenAI, etc.) into production systems
- Build AI-powered services:
- Query optimization
- Risk scoring & explainability
- Estimation & prediction workflows
- Implement agentic AI patterns (multi-step reasoning, tool-using agents, orchestration)
- Work closely with ML engineers to productionize AI models
Enterprise Readiness
- Implement RBAC, audit logging, governance, and guardrails
- Design systems with security, compliance, and observability in mind
- Contribute to CI/CD pipelines, deployments, and production monitoring
Required Skills & Experience
Core Engineering
- 4–8+ years of experience as a Full Stack Engineer
- Strong backend experience with Python (FastAPI preferred) or equivalent
- Solid frontend experience with React / modern JS frameworks
- Strong understanding of REST APIs, async processing, microservices
Data & Systems
- Hands-on experience with large databases and complex schemas
- Strong SQL skills and experience optimizing queries
- Experience building enterprise-grade, data-heavy applications
AI / Modern Stack
- Practical experience integrating LLMs or AI services into applications
- Familiarity with:
- Prompting & structured outputs
- AI evaluation & guardrails
- Explainability and risk-aware AI
- Exposure to agentic AI frameworks or multi-step AI workflows is a big plus
Nice-to-Have (Strong Differentiators)
- Experience building AI-powered SaaS or internal enterprise platforms
- Background in analytics, risk systems, finance, supply chain, or operations
- Experience with Redis, message queues, background workers
- Familiarity with Azure / AWS, containerization, Kubernetes
- Ability to translate business problems → system design
What We Look For (Beyond Skills)
- Strong systems thinking — you see the whole picture
- Comfortable operating in ambiguous, zero-to-one builds
- Ability to reason about scale, cost, and enterprise constraints
- Builder mindset — you ship, iterate, and own outcomes
Why Join Ampera
- Work on real enterprise AI platforms, not demos or chatbots
- Exposure to LLMs, agentic AI, and applied AI at scale
- High ownership, senior-heavy team, minimal bureaucracy
- Opportunity to shape core architecture and AI strategy
Google AnalyticsAbout Zolvit
Zolvit is India’s leading legal, tax, and compliance platform, serving thousands of SMEs, professionals, and enterprise clients. We are transforming how businesses meet their compliance needs by blending automation, expert guidance, and high-quality legal research.
About the Role:
We are looking for a results-driven Digital Marketing Specialist to join our growing team. The ideal candidate will have hands-on experience in SEO backlink building, marketing automation, and digital campaign execution. You will play a key role in improving our online visibility, driving qualified traffic, and nurturing leads through automated workflows.
Key Responsibilities:
• Plan and execute high-quality backlink acquisition strategies (guest posting, blogger outreach, broken link building, etc.)
• Manage and optimize marketing automation workflows (emails, lead scoring, drip campaigns, retargeting)
• Work with SEO tools (Ahrefs, SEMrush, Moz, etc.) to monitor and improve link-building performance
• Collaborate with content and design teams to develop link-worthy content assets
• Set up and manage campaigns using tools like HubSpot, Mailchimp, ActiveCampaign, or similar
• Track KPIs and generate weekly/monthly performance reports
• Stay updated on SEO and marketing automation trends and algorithm updates.
Requirements:
• 3+ years of experience in digital marketing with a focus on SEO/backlinks and marketing automation
• Strong knowledge of white-hat link-building techniques
• Hands-on experience with automation tools like HubSpot, Mailchimp, or similar
• Familiarity with Google Analytics, Google Search Console, and tag management tools
• Excellent written communication skills for outreach and campaign content
• Self-starter with strong organizational and time management skills.
Preferred Qualifications:
• Experience in B2B marketing or SaaS is a plus
• Certification in SEO, Google Ads, or Marketing Automation tools
AngularJS (1.x)
Angular (2+)React.js
NodeJS (Node.js)
MongoDB🚀 Exciting Opportunity for Full-Stack Developers 🚀
Are you a passionate developer ready to take your career to new heights? Join our dynamic team and work with cutting-edge technologies in a collaborative environment.
🌐 Position: Full-Stack Developer
🎯 Key Responsibilities:
- Develop and maintain robust web applications using Python or Node.js for backend and React.js or Vue.js for front-en frameworks
- Collaborate with cross-functional teams to design working wit design tools like Figma, Adobe XD, In Vision, etc., and implement innovative solutions.
- Optimize applications for maximum speed and scalability.
- Troubleshoot, debug, and enhance existing codebase.
- Stay updated with the latest industry trends and technologies.
As a Network Engineer at Propel, you will play a vital role in designing, implementing, and maintaining our network infrastructure to ensure optimal performance, security, and scalability. You will work closely with cross-functional teams to develop and support network solutions that align with business objectives and industry best practices.
Responsibilities
• Design, implement, and maintain network infrastructure, including LAN, WAN, and wireless networks, Site to Site and Client to Site VPN to support business operations and growth.
• Develop and implement network security strategies, including firewall policies, intrusion detection and Prevention (IDS/IPS), access control and CCTV systems, to safeguard company data and resources.
• Configure, troubleshoot, and optimize network devices such as routers, switches, firewalls, High availability, L3/L2/PoE Switches and load balancers, QoS.
• Configure VLan and segregate access between different teams
• Perform hardware troubleshoot such as port failure, system crash, hardware failure etc.,
• Design and implement patch panels and cabling
• Monitor network performance and ensure system availability and reliability. Identify areas for improvement, implementing network optimization and redundancy solutions as needed.
• Perform network maintenance and system upgrades including service packs, patches, hot fixes and security configurations
• Collaborate with other IT teams to evaluate and recommend networking solutions for application and infrastructure projects.
• Implement security tools, policies, and procedures in conjunction with the company’s security team
• Perform network maintenance and system upgrades including service packs, patches, hot fixes, firmware and security configurations
• Monitor system resource utilization, trending, and capacity planning
• Work within established configuration and change management policies to ensure awareness, approval and success of changes made to the network infrastructure.
• Monitor network performance on the availability, utilization, throughput, jitter and latency and test for weaknesses.
• Perform Vulnerability assessment Pen testing at network level and mitigate issues
• Create and maintain network documentation, diagrams, and configurations.
• Knowledge of common security vulnerabilities and OWASP vulnerabilities
• Provide support for critical network incidents on shift basis to support 24x7 model on need basis.
• Exploring automations to integrate for managing networks and provide timely network alerts
• Use ticketing system to document requests, track changes, and explain resolutions
Requirements:
• Bachelor's degree in computer science, Engineering, or a related field.
• 4+ years of experience as a Network Engineer or similar role, with a focus on implementing and managing complex network environments.
• Deep understanding of networking protocols, such as DNS, DHCP, CIDR, IPSEC TCP/IP, BGP, OSPF, and MPLS.
• Proficiency with network hardware, including routers, switches, firewalls, and load balancers from vendors like Fortinet, Cisco etc.,
• Strong knowledge of network security best practices and technologies, such as firewalls, VPNs, and intrusion detection systems.
• Experience with network monitoring and management tools
• Excellent troubleshooting and problem-solving skills and a commitment to continuous improvement.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, agile environment.
Nice-to-Have:
• Relevant networking certifications, such as CCNP, CCIE, JNCIP, or JNCIE.
• Experience with software-defined networking (SDN) and network automation technologies, such as Ansible, Python, or REST APIs.
Others:
• Common application/ web security and OWASP vulnerabilities
• Encryption algorithms to protect sensitive information
• PII, PCI, HIPPA, and GDPR compliance and how to implement
• Finding the vulnerabilities of the third-party components/ libraries
• Understanding security breaches of data-in-transit and data-at-rest and its implementation
This role is for Work from the office.
Job Description
Roles & Responsibilities
- Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
- Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
- Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
- Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
- Analytics and analysis of data and provide insights and recommendations
- Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
- Work with the product team in developing new features, identifying solution gaps, etc.
- Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.
Skills & Experience
- At least 2+ years of experience in IT Infrastructure Management
- Experience in working with large-scale IT infra, including applications, databases, and networks.
- Experience in working with monitoring tools, automation tools
- Hands-on experience in Linux and scripting.
- Knowledge/Experience in the following technologies will be an added plus: ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.
at MirrAR Innovation Technologies Private Limited
Java
Spring Boot
JavascriptDescription
Experience: 1.5 to 3 yrs
* Hands on work experience developing in Java and J2EE
* Hands on work experience developing in JavaScript
* Extensive working experience in Springboot
* Good to have No SQL (Mongo DB) and My SQL Exposure
* Good to have experience in AWS cloud environment
* Designing, developing, troubleshooting and debugging software within a project scope ensuring that work product meets end user acceptance criteria.
* Managing self-directed assignments to resolve software defects or implement features to meet schedule commitments with a high-level of quality.
* Acquiring knowledge of industry and company standards, tools and technology with a focus on pragmatic application to business-focused software solutions through initiative and self-study
Requirements
Primary Skill Java Springboot, Java Script
Good to have Mongo Db (No Sql), My SQL and Exposure to AWS
Benefits
Salary:300000 LPA to 500000 LPA
C++
Data Analytics
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