Sales Executive

• Oversee daily store operations, ensuring everything runs smoothly and efficiently.
• Manage and lead a team of sales associates, setting goals and providing coaching to ensure targets are met.
• Maintain high standards of customer service, addressing customer concerns and feedback.
• Monitor inventory levels, order stock, and manage product displays.
• Analyze sales data and prepare reports for senior management.
• Implement promotional activities and sales strategies to drive revenue.
• Ensure compliance with all company policies, health and safety regulations, and local laws.
• Conduct regular store audits and ensure the store's appearance is up to company standards.
• Handle store budgets, payroll, and scheduling efficiently.

• Overall Synopsis (Skills to focus) 
• Brush up your skills in Photoshop & Illustrator
• Illustrator tools - Pen tool, Gradient, Pathfinder, Blending modes, type on a path, rotate and reflect, mesh tool, selection tool, etc.
• Photoshop tools – change the color of the background, remove a selection, pen tool etc. 
• Make sure to revise to recreate curves, and nodes smoothly while doing vectorization.
• Try making some logo designs, and work on the curves & texture.

This is FULL TIME WFH NIGHT SHIFT role.

If interested kindly share your updated cv at 82008 31681

Interior Designer Job Responsibili􀆟es:

 Develops design concepts and produces contract documents based on client needs.

 Meets with clients to program the project requirements.

 Takes accurate as-built measurements for developing floor plans and eleva􀆟ons.

 Creates design concepts and digital presenta􀆟ons with finish selec􀆟ons, furnishings, and fixtures.

 Presents design concepts and takes detailed notes to address customer requests.

 Creates project budgets and maintains up-to-date documenta􀆟on of all ac􀆟vi􀆟es.

 Manages the coordina􀆟on and logis􀆟cs of product deliveries and installa􀆟on.

 Provides follow-up support with customers.

 Develops and maintains produc􀆟ve and effec􀆟ve rela􀆟onships with customers.

Interior Designer Qualifica􀆟ons / Skills:

 Effec􀆟ve verbal and wri􀆩en communica􀆟on skills

 Problem solving skills, a􀆩en􀆟on to detail, and self-starter

 Programming abili􀆟es to extract informa􀆟on and produce reports

 Knowledge of building and accessible codes

 Familiarity with all phases of projects, poten􀆟al issues, and proven history to produce projects

 Knowledge of industry construc􀆟on costs and material costs

 Basic ability to prepare furniture cost es􀆟mates

 Crea􀆟ve eye for detail in prepara􀆟on of design presenta􀆟on materials

Educa􀆟on, Experience, and Licensing Requirements:

 Bachelor’s degree in design or related field 5-10 YRS EXPERIANCE

 Interior Design CERTIFIICATION

 Experience in INDUSTRIAL BUILDINGS

 Experience with FF&E procurement and specifica􀆟on

 Experience managing a department of 4 or more design staff including budget es􀆟mates and project

schedules

 Proficient in AutoCAD, Photoshop, and Revit

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred