Digital Marketer

Job Summary

An experienced Kong Admin Support Engineer is required to manage administration, support, and enhancement of the Kong API Gateway platform. The role involves handling custom plugin development, portal customization, troubleshooting, and ensuring secure and scalable API management in a production environment.

Key Responsibilities

• Provide L2/L3 administration and support for Kong API Gateway.
• Manage installation, configuration, upgrades, and performance tuning of Kong components.
• Develop and maintain custom Kong plugins based on business requirements.
• Customize and enhance the Developer Portal including UI, workflows, and integrations.
• Monitor API traffic, logs, and gateway health; resolve incidents and performance issues.
• Implement security policies such as authentication, rate limiting, and access control.
• Collaborate with development, DevOps, and infrastructure teams for deployments and releases.
• Maintain documentation, runbooks, and operational procedures.
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Required Skills & Qualifications

• Minimum 3+ years of experience in Kong administration/support.
• Strong experience in custom plugin development using Lua or relevant technologies.
• Hands-on experience with Kong Developer Portal customization and management.

Job Title: Full-Stack MERN Developer (5–8 Years Experience)

Location: Borivali, Mumbai (Onsite)

Experience: 6–8 Years

Joining: Immediate Joiners

Employment Type: Full-time

Job Overview

We are looking for an experienced Full-Stack MERN Developer to join our engineering team in Borivali, Mumbai. The ideal candidate should have strong hands-on experience building scalable web applications using React, Node.js, Express, and MongoDB, with a solid understanding of REST APIs, microservices architecture, performance optimization, and cloud infrastructure.

You will work on consumer-facing applications, handle large datasets, and contribute to building reliable, high-performance systems.

Key Responsibilities

• Design, develop, and maintain full-stack web applications using MERN stack
• Build scalable and secure RESTful APIs and backend services using Node.js & Express
• Develop reusable and high-performance React components with proper state management
• Implement microservices-based architecture and inter-service communication
• Optimize application performance at both frontend and backend levels
• Work with MongoDB for data modeling, indexing, and performance tuning
• Handle large datasets efficiently and ensure system reliability
• Implement logging, tracing, and monitoring for production-ready applications
• Collaborate with product, frontend, backend, and DevOps teams
• Write clean, maintainable, and well-documented code

Technical Requirements

Backend

• Strong hands-on experience with Node.js & Express.js
• Expertise in building REST APIs and backend business logic
• Strong understanding of async programming (Callbacks, Promises, Async/Await)
• Experience with microservices architecture
• Hands-on experience with MongoDB (Expert level)
• Working knowledge of PostgreSQL / MySQL
• Experience with Kafka or other message queue systems
• Familiarity with Bull / job schedulers

Frontend

• Strong experience with React.js
• Hands-on experience with state management (Redux, Context API, or similar)
• Good understanding of HTML, CSS, AJAX
• Experience with performance optimization techniques in React

Infrastructure & Cloud

• Experience with Docker and Kubernetes (K8s)
• Hands-on exposure to AWS services such as EC2, S3, ELB, AutoScaling, CloudFront
• Understanding of CI/CD pipelines is a plus

Core Computer Science

• Good understanding of Data Structures & Algorithms
• Solid knowledge of Operating Systems fundamentals

Good to Have

• Experience with Redis for caching
• Exposure to Vue.js
• Experience working on consumer-facing web or app products
• Strong debugging and problem-solving skills
• Familiarity with application monitoring tools (logs, metrics, tracing)

What We’re Looking For

• Strong problem-solving mindset and ownership attitude
• Ability to learn new tools and technologies quickly
• Comfortable working in fast-paced, production-driven environments
• Immediate or short-notice joiners preferred

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory (Company): B2B SaaS Product companies

Preferred Companies

Salesforce, Oracle, Zoho CRM, Keka, Zaggle, Pine Labs (non-prepaid card roles only), Advantage Club, Reward Gateway

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

We are looking for a foreign accountant having basic depth knowledge of accounting and proficient with software like Quickbook, Xero, Sage etc.

Job Title: Senior Interior Designer

Location: Marol Andheri Ho Office

Job Type: Full-Time

Experience Required: 6+ years

Industry: Interior Design / Architecture / Real Estate / Construction Job

Summary: We are seeking a creative and experienced Senior Interior Designer to lead and manage interior design projects from concept through execution. The ideal candidate will possess strong design sensibility, excellent client communication skills, and a deep understanding of space planning, materials, and current design trends.

Key Responsibilities:

 Lead the concept development, design presentations, and execution of interior projects.

 Prepare detailed design layouts, drawings, mood boards, and 3D visualizations.

 Coordinate with clients, vendors, consultants, and project teams.

 Oversee site supervision and ensure design integrity during execution.

 Select and specify materials, furnishings, lighting, and color palettes.  Manage budgeting, timelines, and project deliverables.

 Mentor and guide junior designers and draftsmen.

 Ensure compliance with local codes and standards.

 Regularly present and pitch ideas to clients and stakeholders.

Required Skills & Qualifications:

 Bachelor’s or Master’s degree in Interior Design / Architecture.

 Minimum 6 years of proven interior design experience in residential, commercial, or hospitality sectors.

 Proficient in design tools such as AutoCAD, SketchUp, 3Ds Max, V-Ray, Photoshop, Revit, or similar.

 Strong knowledge of materials, finishes, and construction techniques.  Excellent communication, leadership, and project management skills.  Creative thinking with attention to detail and problem-solving ability.

Please apply at this link - https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0q2xl?source=

LogiNext is looking for a dynamic and competent professional to manage the efficient execution of accounting services. The work at LogiNext is very fast paced, agile, and hence, you must be able to multitask to deal smoothly with competing levels of priority.

Responsibilities

Responsible for quarterly GAAP and IFRS accounting oversight and financial reporting. Liaise with external auditors to facilitate the timely completion of audited financial statements. - Having experience in Asset Management, Risk Management, Valuations, Tax, Legal, Compliance, Product Management, Middle Office, and Treasury. AP and AR management, ensure timely processing of the invoices and thus timely payments. Invoice clarification including interaction with purchasers, requisitions and/ or vendors and ensuring 100% accuracy of invoices processed. Raising proper queries to business in case of any issues in invoices processing & resolving the issues. Maintain and reconcile Accounts Payable and GR/ IR accounts. Understand and apply procure to pay processes, policies, procedures and internal control standards Support all internal and external audits.

Requirements

Bachelor’s degree in finance, commerce and CA with 1 - 2 years of experience 4 to 6 years of relevant experience in Accountancy administration Proficiency in Microsoft Office, Zoho Books, Oracle or similar accounting software Proficiency in statutory and tax filings including GST, TDS, PF, PT, MLWF, ESIC, sales tax, income tax and related reconciliations Experience of accounting standards Indian GAAP and US GAAP Experience in preparing management reporting (MIS), company vauations, stock option agreements and related computations Experience of secreterial filings with regularory authorities like RoC in India, RBI in India and SEC in the US Should have multitasking ability and ability to meet the targeted deadlines Strong numerical aptitude and attention to detail Excellent communication skills, both verbal and written Good time management and organizational skills