ServiceNow Architect

Experience: Experience: 10+ years of experience in software development & project management, with specialization in AI/ML

Qualification: B.E/B.Tech

Location: Pune

Role Overview

We are seeking a Head of AI Center of Excellence to execute our enterprise AI strategy. This role will be responsible for designing and delivering agentic AI systems and production-grade AI solutions, while driving rapid experimentation and pilot-ready proof-of-concepts in a fast-paced environment.

·    Required Qualifications:

• 10+ years of overall software development & management experience with 5+ years of hands-on experience in AI/ML system design and development
• Experience with technical project management; managing a team of AI/ML engineers across multiple projects
• Proven expertise in:
• Agentic AI architectures, LLM-based systems, and orchestration frameworks
• ML/DL model development, training, fine-tuning, and evaluation
• MLOps, model deployment, monitoring, and lifecycle management
• Strong proficiency in Python and modern AI/ML frameworks (e.g., LangGraph, PyTorch, TensorFlow, Hugging Face)
• Experience with cloud platforms and AI services (AWS, Azure, or GCP)
• Demonstrated ability to deliver pilot-ready AI PoCs quickly and effectively

To manage the overall operations and sales performance of the interior design and home décor store. The Stores Sales Manager is responsible for achieving sales targets, ensuring excellent customer experience, supervising the design consultants and sales team, and maintaining the brand’s premium standards in store presentation and service.

Key Responsibilities:

1. Sales & Revenue Management

• Achieve monthly and quarterly sales targets for the store.
• Drive conversion rates by ensuring strong customer engagement and effective product presentation.
• Monitor sales trends and customer preferences to suggest improvements in product mix and display.
• Implement promotional campaigns and sales strategies to boost revenue.

2. Team Leadership & Performance

• Supervise, train, and motivate the sales and design consultant team to deliver high-quality service.
• Conduct daily briefings and set individual sales goals.
• Monitor staff performance and provide regular feedback and coaching.
• Ensure proper shift scheduling and adequate manpower coverage.

3. Customer Experience & Service Excellence

• Ensure every customer receives professional interior design consultation and personalized service.
• Handle escalations or special client requests efficiently.
• Maintain client relationships for repeat and referral business.
• Oversee post-sales follow-ups, installation coordination, and satisfaction feedback.

4. Store Operations & Visual Merchandising

• Maintain store ambience, layout, and visual display standards as per brand guidelines.
• Ensure accurate stock management and inventory control.
• Coordinate with logistics and warehouse teams for product deliveries and replenishments.
• Ensure store cleanliness, safety, and maintenance compliance.

5. Reporting & Coordination

• Prepare daily, weekly, and monthly sales reports.
• Track key performance metrics (footfall, conversion, average ticket size, etc.).
• Collaborate with marketing, design, and operations teams for smooth execution of campaigns and projects.
• Provide feedback to management on market trends, competitor activity, and customer insights.

Qualifications & Experience:

• Bachelor’s degree in Business Administration, Interior Design, Marketing, or related field.
• 5–8 years of retail sales experience, preferably in interior design, home décor, furniture, or luxury retail.
• Proven experience in managing store teams and achieving sales targets.
• Strong understanding of interior design products and customer consultation process.

Key Skills Required:

• Excellent communication and interpersonal skills.
• Strong leadership and team management abilities.
• Customer-centric mindset with focus on quality service.
• Sales-driven and result-oriented approach.
• Good knowledge of visual merchandising and store operations.
• Proficiency in MS Office and CRM software.

Performance Indicators (KPIs):

• Monthly sales achievement vs. target.
• Conversion rate and average ticket value.
• Customer satisfaction and feedback ratings.
• Store presentation audit score.
• Employee productivity and retention.

Below is the need for SFCC folks for Salesforce account. We require technically very strong resources. The rounds of interview will be L1 + client interview –

• The candidate should be very strong in B2B.
• The candidate should be having sound end to end project experience and should be able to independently handle customer scenarios . 
• The candidate is expected to have understanding and working knowledge of latest SFCC features.
• The candidate should have a sound customer facing experience.
• The candidate should have good written and verbal communication.

We provide digital marketing services like - Google ads, map listing and SEO etc into the B2B Sector, Candidate must have bike and laptop.

Please find the JD below: 

• Candidate should have good Platform experience on Azure with Terraform. 
• The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests. 
• Good to have experience on migrating data from (AWS) to Azure. 

• To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms. 
• VMs to be provisioned on Azure Cloud and managed. 
• Good hands-on experience of Networking on Cloud is required. 
• Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services. 
• Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential. 

• Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc). 
• The experience in AWS is desirable. 
• Python experience is optional however Power shell is mandatory. 
• Know-how on the use of GitHub 
• Administration of Azure Kubernetes services 

Responsibilities:

• Works as part of a team to continually refresh and enhance our users’ web experiences using an Agile Development Methodology. 

• Build and ship features with an understanding of Javascript, CSS and HTML best practices.

• Coordinate with back-end engineers to provide a cohesive experience.

Must-Have:

• 2+ years of extensive exposure in developing web applications using the latest front-end technologies

• Expertise in the following area:

• HTML5, CSS3, JavaScript and JS frameworks, such as jQuery,

• Responsive & Adaptive web design

• CSS frameworks like SASS/LESS

• Able to work both independently and in a team environment.

• Adequate knowledge of Version Control Systems like Git

Mandatory Skills to have:

• Drupal Must-Have:

• Prior hands-on experience with Drupal Projects.

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred