Data Modeller (Enterprise

Key Responsibilities:

• Salesforce Administration:

o Manage user setup, roles, profiles, security settings, and permissions.

o Configure and maintain custom objects, record types, fields, page layouts, workflows, process builders, and validation rules.

o Perform regular data management tasks including data import, export, deduplication, and cleaning.

o Ensure platform stability and performance with regular system maintenance.

• Salesforce Development:

o Design and implement custom solutions using Apex, Visualforce, Lightning Components (LWC and AURA), and SOQL

o Develop and integrate APIs to connect Salesforce with other systems.

o Automate processes with Flow Builder, Process Builder, and custom code.

o Optimize Salesforce instance through custom development for better performance and scalability.

• System Enhancements:

o Identify opportunities for automation, efficiency, and improved data quality.

o Implement third-party apps from AppExchange as required.

o Stay up-to-date with Salesforce releases and ensure smooth implementation of new features.

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

We are looking for a creative and performance-driven Digital Marketing Executive with 1–2 years of experience to boost our online presence and generate quality leads in the interior design space. The ideal candidate should have a strong grasp of digital platforms and a passion for aesthetics, design, and branding.

Key Responsibilities:

• Plan, implement, and monitor digital marketing campaigns across Google Ads, Facebook, Instagram, and YouTube.
• Handle social media content creation, scheduling, and engagement to build community and brand presence.
• Improve website visibility through on-page and off-page SEO techniques.
• Work on lead generation campaigns with measurable ROI.
• Coordinate with the design/content team for blog posts, creatives, and videos.
• Create and manage email marketing campaigns for client follow-ups and promotional activities.
• Analyze performance metrics using tools like Google Analytics and Meta Business Suite, and optimize accordingly.
• Keep up with the latest digital trends and competitor strategies, especially in the home/interior sector.

Required Skills:

• 2–3 years of hands-on digital marketing experience.
• Proficiency with Facebook Ads Manager, Google Ads, SEO tools (e.g., SEMrush, Ahrefs), and analytics platforms.
• Experience in creating content calendars and managing brand accounts on Instagram and Facebook.
• Basic graphic design skills (Canva, Photoshop) and video editing are a plus.
• Excellent written and verbal communication.
• Ability to work independently and meet deadlines.

Responsible for preparing, conducting, and evaluating technical training programs. Writes literature and materials to be used in programs and designs exercises to enhance learning experience.

Responsibilities

• Provide technical training to professional personnel.
• Develop innovative and easy-to-understand training materials.logistics and tools.
• Meet organizational training needs.
• Organize instructor-led training programs.
• Prepare training schedules and programs for personnel.
• Analyze learning needs and develop appropriate training material.
• Interact with respective departments in scheduling training programs.

Requirements

• Experience in delivering technical training. 
• Top-notch administrative, research and troubleshooting skills.
• Ability to host training workshops for new hires.
• Knack for detecting and removing barriers to learning.

• Strong knowledge of PHP, Python, Javascript, MySQL, NoSQL, Data Structures, Algorithms

Experience

2-3 years of experience of relevant experience is preferred.

• Cloud: GCP
• Must have: BigQuery, Python, Vertex AI
• Nice to have Services: Data Plex
• Exp level: 5-10 years.
• Preferred Industry (nice to have): Manufacturing – B2B sales

Job Description - Sr Azure Data Engineer

Roles & Responsibilities:

1. Hands-on programming in C# / .Net,
2. Develop serverless applications using Azure Function Apps.
3. Writing complex SQL Queries, Stored procedures, and Views. 
4. Creating Data processing pipeline(s).
5. Develop / Manage large-scale Data Warehousing and Data processing solutions.
6. Provide clean, usable data and recommend data efficiency, quality, and data integrity.

Skills

1. Should have working experience on C# /.Net.
2. Proficient with writing SQL queries, Stored Procedures, and Views
3. Should have worked on Azure Cloud Stack.
4. Should have working experience ofin developing serverless code.
5. Must have MANDATORILY worked on Azure Data Factory.

Experience 

1. 4+ years of relevant experience

• Driving team coordination, team building, team alignment and team productivity in all domains including dev, design, content, delivery & support
• Keeping an overall eye on progress of every aspect of the product to steer in the right direction
• Suggesting and improving product solution over time based on user insight, competitive landscape
• Developing and enhancing product management systems in all aspects
• Carrying a result oriented and business focused attitude
• Ensuring all features, deliverables and user requirements to be fulfilled as per business needs
• Taking ownership of the product and its way forward as per the product vision and roadmap

Desired Candidate Profile

• Deep Tech Understanding, Tech Product Handling Skills
• Ability to Integrate Development, Testing, Content, Design, User Tracking and Support into a seamless product growth process
• Product Roadmap & User Management Skills
• Data Crunching Skills, User Analytics, User Engagement Tracking & a User Centric Growth Approach
• Great Communication Skills in all formats, Documentation and Coordination Capabilities
• Sincerity & Dynamism for Problem Solving & taking proactive product responsibilities
• Grip and Focus on Testing, Stability & Performance of Apps
• Love for building awesome tech products for universal reach and scale