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Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns |
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Design, build and maintain our social media presence |
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Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs) |
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Identify trends and insights, and optimize spend and performance based on the insights |
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Brainstorm new and creative growth strategies |
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Plan, execute, and measure experiments and conversion tests |
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Collaborate with internal teams to create landing pages and optimize user experience |
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Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points |
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Instrument conversion points and optimize user funnels |
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Collaborate with agencies and other vendor partners |
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Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate |
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Transforming from agency driven to in-house digital marketing functioning |
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Supporting in building in-house digital marketing function |
Shubham Vishwakarma
Full Stack Developer - Averlon
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Machine Learning (ML)
NodeJS (Node.js)Job Title: AI Developer/Engineer
Location: Remote
Employment Type: Full-time
About the Organization
We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.
About the Role
We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.
Key Responsibilities
- Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
- Leverage Node.js for backend development and integration with various cloud services.
- Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
- Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
- Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
- Integrate and manage vector databases such as FAISS and Pinecone.
- Ensure scalability, performance, and compliance in all deployed AI systems.
Required Qualifications
- 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
- Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
- Strong experience with multi-cloud infrastructure and platforms,
- Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
- In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
- Familiarity with AI tools for model training, data processing, and real-time inference tasks.
- Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
- Strong problem-solving skills and a passion for innovation in AI and cloud technologies
- Agile delivery mythology knowledge.
- CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
- Strong experience with LLMs, prompt engineering, and fine-tuning.
- Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).
Nice to Have
- Experience in healthcare AI, digital health, or clinical applications.
- Exposure to multi-agent AI frameworks.
What We Offer
- Flexible working hours.
- Collaborative, innovation-driven work culture.
- Growth opportunities in a rapidly evolving AI-first environment.
PythonNodeJS (Node.js)Ontrac Solutions is a leading technology consulting firm specializing in cutting-edge solutions that drive business transformation. We partner with organizations to modernize their infrastructure, streamline processes, and deliver tangible results.
Our client is actively seeking a Conversational AI Engineer with deep hands-on experience in Google Contact Center AI (CCAI) to join a high-impact digital transformation project via a GCP Premier Partner. As part of a staff augmentation model, you will be embedded within the client’s technology or contact center innovation team, delivering scalable virtual agent solutions that improve customer experience, agent productivity, and call deflection.
Key Responsibilities:
- Lead the design and buildout of Dialogflow CX/ES agents across chat and voice channels.
- Integrate virtual agents with client systems and platforms (e.g., Genesys, Twilio, NICE CXone, Salesforce).
- Develop fulfillment logic using Google Cloud Functions, Cloud Run, and backend integrations (via REST APIs and webhooks).
- Collaborate with stakeholders to define intent models, entity schemas, and user flows.
- Implement Agent Assist and CCAI Insights to augment live agent productivity.
- Leverage Google Cloud tools including Pub/Sub, Logging, and BigQuery to support and monitor the solution.
- Support tuning, regression testing, and enhancement of NLP performance using live utterance data.
- Ensure adherence to enterprise security and compliance requirements.
Required Skills & Qualifications:
- 3+ years developing conversational AI experiences, including at least 1–2 years with Google Dialogflow CX or ES.
- Solid experience across GCP services (Functions, Cloud Run, IAM, BigQuery, etc.).
- Strong skills in Python or Node.js for webhook fulfillment and backend logic.
- Knowledge of NLU/NLP modeling, training, and performance tuning.
- Prior experience working in client-facing or embedded roles via consulting or staff augmentation.
- Ability to communicate effectively with technical and business stakeholders.
Nice to Have:
- Hands-on experience with Agent Assist, CCAI Insights, or third-party CCaaS tools (Genesys, Twilio Flex, NICE CXone).
- Familiarity with Vertex AI, AutoML, or other GCP ML services.
- Experience in regulated industries (healthcare, finance, insurance, etc.).
- Google Cloud certification in Cloud Developer or CCAI Engineer.
Android Development
Kotlin
JavaRole:
Android Developer
Role Description:
Desired Experience Range 4+ years
Location: Mumbai
Work Experience:
Minimum 4+ years of professional experience in Android development
Requirements:
1. Writing clean and efficient native Android applications
2. Proven knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
3. Familiarity with RESTful APIs to connect Android applications to back-end services
4. Proven knowledge of Android UI design principles, patterns, and best practices
5. Experience with offline storage, threading, and performance tuning
6. Must have worked on integrating oAuth/JWT
7. Must have worked with Git
8. Understanding of SDLC process
9. Good to have knowledge of Jira
Key Responsibilities:
1. Writing clean and efficient native Android applications
2. Consuming web services/APIs for Android platform
3. Monitoring the performance of live apps and work on optimizing them at the code level
4. Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance
5. Integrating new features into the platform
6. Integrating payment gateways
7. Looking into any bug fixes post go live
8. Helping the junior developers
Reporting
Candidate will report to the Engineering Lead
Java
Spring Boot
Amazon Web Services (AWS)Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".
Only applications received via email will be reviewed. Applications through other channels will not be considered.
Overview
Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.
Job description
As part of our role at a leading global insurance company, we are responsible for developing and managing applications.
To reinforce our dynamic development team, we are seeking a skilled Full-stack developer. As a Full-stack developer, you will collaborate with an international cross-functional teams to design, develop, and deploy high-quality software solution.
Responsibilities:
Design, develop, and maintain the application
Write clean, efficient, and reusable code
Implement new features and functionality based on business requirements
Participate in system and application architecture discussions
Create technical designs and specifications for new features or enhancements
Write and execute unit tests to ensure code quality
Debug and resolve technical issues and software defects
Conduct code reviews to ensure adherence to best practices
Identify and fix vulnerabilities to ensure application integrity
Working with frontend developers to ensure seamless integration of user-facing elements
Collaborating with DevOps teams for deployment and scaling
Requirements:
Bachelor’s degree in computer science or information technology, or a related field.
Proven experience as a skilled Full-stack developer. Experience in Insurance domain is appreciated.
Strong experience with Terraform, Java (Spring Boot), AWS, GitLab and Angular, NGXS, State Management, Typescript
Excellent problem-solving and debugging skills.
Strong communication and collaboration abilities to work effectively in a team environment.
Skills & Requirements
Terraform, Java, Spring Boot, AWS, GitLab, Angular, NGXS, State Management, TypeScript, Unit Testing, Debugging, Code Review, Software Architecture, DevOps Collaboration, Frontend Integration, Technical Design, Problem-Solving, Communication, Teamwork.
- EDW/BI experience of 15+ years with at least 2-3 end to end EDW implementation experience as Solution or Technical program manager
- Must have at least ONE Azure Data Platform implementation experience as Solution or Technical Project manager (Azure, Databricks, ADF, PySpark)
- Must have technology experience in any of the ETL tools like Informatica, Datastage and etc.
- Excellent communication and presentation skills
- Should be well versed with project estimation, project planning, execution, tracking & monitoring
- Should be well versed with delivery metrics in Waterfall and/or Agile delivery models, scrum management
- Preferred to have technology experience of any of the BI tools like MicroStrategy, Tableau, Power BI and etc.
Kubernetes
DockerAmazon Web Services (AWS)About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities:
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Implement consistent observability, deployment and IaC setups
- Patch production systems to fix security/performance issues
- Actively respond to escalations/incidents in the production environment from customers or the support team
- Mentor other Infrastructure engineers, review their work and continuously ship improvements to production infrastructure.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Participate in infrastructure security audits
Requirements:
- At least 5 years of experience in handling/building Production environments in AWS.
- At least 2 years of programming experience in building API/backend services for customer-facing applications in production.
- Demonstrable knowledge of TCP/IP, HTTP and DNS fundamentals.
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts using any scripting language such as Python, Ruby, Bash etc.,
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – if you have experience with Nginx, Postgres, Redis, and Mongo systems in production.
Founded in 2011 by Harvard and Stanford alumni, our client is Headquartered in Hyderabad with offices in India, UAE and USA, delivering live online training to learners across the world.
They have partnered with 200+ MNCs for training of their working professionals and also for their alumni placement. They have partnered with 60+ universities and autonomous colleges to upskill students via university programs integrated with skill-based offerings
What you will do:
- Complete and end to end management of training and capability building of learners in each cohort and simultaneously running cohorts
- Deep analysis of weekly progress of each individual learner and planning of remediation
- Being a mentor and guide to each individual learner, driving their strengths and addressing skill gaps so each candidate progresses to our standard of excellence in capability
- Planning and ensuring holistic readiness of all learning infrastructure including courseware, platform, labs, projects, domain based contextual learning and business (soft) skills (with support from content and other functions and leadership teams)
- Managing a team of trainers and other resources such as training assistants for optimum resource utilization and delivering best quality industry-relevant training
What you need to have:
- At least 10 years experience in training technical areas in computer science and data engineering or cloud
- Experience in managing trainers and managing training operations
- Clear and up to date understanding of job role requirements, talent requirements, especially in data driven technical job roles
- Strong delivery experience will be an added plus
Inside Sales executives sell products and services for their company over the phone. They also manage client accounts and maintain relationships, all through taking and making phone calls. Telesales can be classified as:
- Inbound Telesales: Takes place when a potential customer/client calls the company enquiring about their products/services. Inbound telesales are designed to cater to customer responses to company's promotional/ advertising campaigns. Technical support executives also fall under this category if they do cross selling.
- Outbound Telesales: takes place when a telesales executive proactively initiates a call to a prospective customer. These calls can be for existing customers for cross-selling / up-selling new product/service offerings or for new customer acquisition.
Telesales executives can be hired for both B2C (Business to Consumer) or B2B (Business to Business) selling. Depending on the company's offering, target audience and geography, the skills and attributes required for the Telesales job would differ. For example, a company with mostly B2B international clients would need the candidate to be fluent in English, while for another company with B2C client or regional customers, knowledge of local language would be more important than English.
The Job Role and Responsibilities
A telesales executive is generally a part of the company's sales team and his/her primary job is to sell. Telesales executives have set targets and strategies by their team supervisor. They would mostly be calling a prospective client and persuading them to either purchase/trial a product/service, or accept a visit from another sales team member. Telesales executives must have a clear understanding of the product/service they are selling and should be able to negotiate well.
Competencies and Skills Required
A telesales executive is required to interact with customers for most part of his/her day and so good communication skills are a must. He/she must be able to plan the number of fresh/follow-up calls he/she has to do in order to meet targets. The job also requires good selling and persuading skills and also a thorough understanding of the company's offerings. The major skills and competencies that employers look for are:
- Good spoken and written language skills
- Ability to plan and execute
- Ability to persuade and negotiate
- Ability to work under stress
- Ability to work as a team
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Full Stack Developer - Averlon