UI/UX Designer

Role: Graphic Designer - Work from Home

• Exp: 0-2 Years
• Salary: 25K

• 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 a full-time WFH (nightshift role) but for the last round of interviews candidate has to attend Drive at Pune Location

If interested kindly share your updated CV at hitanya @zohomail.in

Location: Mohali ( work from office )

You can directly walk-in for Interview

Requirements for Web Designer :

• Good experience in responsive website designing.
• Must have experience in bootstrap and HTML5.
• Excellent knowledge of CSS3, JavaScript, jQuery, Canvas, Angular Js.
• Should be aware of the recent trends in UI Design.
• Must have done web Designing for PHP project Basic.
• Good communication skills and a creative mindset. 

Highlights:

• Working 5 days a week.
• Group Health Insurance for our employees.
• Work with a team of 300+ excellent engineers.
• Extra Compensation for Night Shifts.
• Additional Salary for an extra day spent in the office.
• Lunch buffets for all our employees.
• Fantastic Friday meals to dine in for employees.
• Yearly and quarterly awards with CASH amount, Birthday Celebrations, Dinner coupons etc.
• Team Dinners on Project Completion.
• Festival celebration, Month End celebration.

Open for both Day and Night shifts

Web Designer, Bootstrap, UX designer, Frontend developer

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

Job Description

Function: Sales and Business → Sales / Business Development

• Business Development
• Direct Sales
• Sales
• Telecalling

Responsibilities:

• Achieving and exceeding the sales targets (End to End Sales).
• Lead generation through cold calling.
• Identify opportunities through Web interaction, Tele calling, marketing events & advertisements to generate appointments.
• Record and maintain the quality of leads and ensure the progression of leads from identification to closure.
• Maintain a quality pipeline by targeting the right set of audiences and weekly closure by continuous follow-up.
• Providing counseling to students and helping them choose the right learning module.
• Willing to travel within city limits convincing the customers (i.e. parents) to invest in the Toppscholars learning app to improve their children's quality of education and academic result by establishing the unique value proposition of the Toppscholars learning app.
• Ensuring end-to-end delivery and sustaining the given targets.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.