Inside Sales - Associate

Description

We are looking for a client-focused and experienced *Sales Executive* for our Mumbai showroom. The ideal candidate will have prior experience in premium or luxury furniture and home décor, and a flair for engaging with high-net-worth individuals, architects, and interior

designers. This role involves offering personalised service, understanding client needs, and ensuring a seamless sales experience.

Responsibilities

* Welcome and assist clients with a warm, service-oriented approach

* Understand client requirements and recommend suitable furniture and décor solutions

* Build and maintain strong relationships with interior designers and architects

* Manage the entire sales process from enquiry to order placement and post-sale support

* Maintain the showroom’s visual standards in line with brand aesthetics

* Record leads, showroom visits, and client interactions in the CRM system

* Meet individual and store-level sales targets

* Coordinate with production, logistics, and CRM teams to ensure timely deliveries and communication

Requirements

* 2–5 years of experience* in luxury furniture, home décor, lifestyle, or design-related retail

* Excellent communication and interpersonal skills

* Strong understanding of premium clientele and their expectations. Experience in handlingclients from architecture and design backgrounds

* Familiarity with CRM tools, email etiquette, and professional communication

* Available to work on weekends and holidays, as required

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.

At Egnyte we develop content governance and collaboration products that are deployed across several large companies such as Yamaha and Red bull. The Egnyte platform supports daily, business critical operations for a million-plus user base interacting with a multi-petabyte content set.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

Specific Responsibilities will include:

• Design and develop scalable cloud components that seamlessly integrates with on-premises systems.
• Challenge and redefine existing architecture or make 10x improvements in performance and scalability.
• Ability to foresee post-deployment design challenges, performance and scale bottlenecks.
• Hire and mentor junior engineers
• Doing code reviews, unit and performance testing of the code.
• Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions.

The successful candidate will need:

• Demonstrated success designing and developing complex cloud based solutions
• Solid CS fundamentals with one or more areas of deep knowledge
• Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker.
• Data driven decision process
• Relies on automation testing instead of manual QA
• Experience in working with Google cloud, AWS or Azure is preferred

We would prefer the candidate work from our Mumbai office for alteast first 6 months.

Tasks and Responsibilities:

• Detailed technical analysis and specifications;

• Technical artifacts for new releases and automated tests as appropriate;

• Participation in meetings with the project team;

• Inputs to team lead for monthly activity and status reports of the team;

Profile:

• Bachelor or Master degree;

• +5 years of professional experience in software development;

• +3 years of hands-on Java or Node.js/Typescript development experience;

• Knowledge of JSF, Angular or Wicket;

• Knowledge of Docker, Solr/Elastic and/or Amazon Web Services (lambda, dynamodb, IAC, cognito, SNS, SQS, step-functions, cloud watch, log group, https codes used in REST api) is an advantage;

• Fluent in English

Skill: Dellboomi Integration Developer

Work Mode: 6 Months

Location: Gurugram / Hyderabad / Pune / Delhi / Noida

Technical Skills: Dellboomi Integration, Groovy Script, Java Script, ATOM.

Job Description

• Bachelor’s Degree in computer science or relevant degree
• 3-5 years of experience in integration development.
• Experience with modern Groovy Script, JavaScript libraries and frameworks such as XLST.
• Strong communication skills with the ability to effectively interface with clients
• Good business analysis/design skills.
• Excellent time management and organizational skills.
• API / REST / SOAP experience
• Able to work with project management systems and time allocation.
• Good knowledge of Atom Management and Deployment

Hello Greetings!!!

We are looking for “Angular Developer " for Goregaon (Mumbai)/ Lucknow location.

Experience: 3 - 5 Years

Notice Period: up to 30 days

Location: Goregaon (Mumbai)/ Lucknow

Responsibilities and Deliverables:

• Ability to translate the UI designs in to fully-functional interactive prototypes
• Complete familiarity with web technologies HTML5/CSS3/JavaScript, Jquery and AJAX
• Should be able to design a responsive website
• Should have knowledge of working with modularized structures
• Thorough knowledge on JS frameworks and knowledge of OOPs & MVC.
• Should be able in designing the frontend application and integrating the API's to show the data in frontend.
• Designing the frontend application using HTML and CSS or using bootstrap as well as making the webpage responsive for mobile applications as well.
• Checking the cross-browser compatibility with different browsers. Integrating the API's in angular to show the data in frontend as per the logic provided.
• Strong skills on framework Angular/ React.JS/Ionic
• Data visualizations using Canvas or SVG, High chart, D3.js etc.
• Good Understanding on RWD, SPA & Hybrid app development
• Knowledge of XML, JSON, REST-API & Web services is essential
• Experience working with CSS preprocessors, Bootstrap, Material design
• Familiarity with Testing Automation and Deployment automation tools.

Please provide the following details:

• Current Location:
• Present CTC
• Expected CTC
• Notice Period