SEO Specialist

Job Title: Sr. Business Development Executive

Location: Okhla Phase 1

Years of Experience: 1-2 years

Job Type: Full-Time, Onsite

Role Description:

The Sr. Business Development Executive is responsible for driving growth by developing relationships with new clients and maintaining fruitful relationships with existing ones. This role demands a strategic thinker with a keen understanding of digital marketing and sales processes. The successful candidate will be proactive in identifying new business opportunities, adept at negotiating deals, and skilled at closing sales to meet revenue targets.

Qualifications:

• Proven Experience: Demonstrable experience in sales, marketing, or a related field, preferably in the digital marketing or influencer marketing sectors.
• Digital Marketing Acumen: Strong understanding of digital marketing concepts, strategies, and industry-specific challenges.
• Communication Skills: Excellent communication and presentation skills, capable of effectively conveying information at all levels of the organisation.
• Independence: Ability to work independently with minimal supervision and as part of a team in dynamic and fast-paced environments.
• Educational Background: Bachelor’s degree in Business Administration, Marketing, Communications, or a related field.
• Language Proficiency: Proficiency in English and Hindi, both written and verbal.
• Technical Skills: Proficient with CRM software, data analysis tools, and MS Office or equivalent applications.

Responsibilities:

1. Outreach and Lead Generation:

• Utilise a variety of techniques including personalised emails, LinkedIn outreach, cold calling, and other direct marketing methods to engage C-level executives, Marketing Heads, and key decision-makers.
• Develop and execute innovative strategies to expand the client base through effective lead generation and nurturing.

1. Client Relationship Management and Sales Conversion:

• Cultivate lasting relationships with potential clients by understanding their business needs and aligning our services accordingly.
• Drive the sales process from plan to close, engaging necessary team members from other departments as required.

1. Presentation and Communication:

• Develop and deliver compelling presentations and proposals tailored to meet specific client needs and requirements.
• Showcase exceptional written and verbal communication skills in interactions and presentations to potential clients.

1. Sales Pipeline Management:

• Effectively manage and oversee the sales pipeline, ensuring a continuous flow of sales opportunities.
• Regularly track and report on lead generation, conversion rates, and achievement of sales targets.

1. Market Analysis and Adaptation:

• Stay updated on the latest trends and developments within the digital marketing and broader business environment.
• Apply insights gained from market analysis to optimise strategies and approaches, adapting to changes in the market and industry to maintain a competitive edge.

1. Team Collaboration and Leadership:

• Work closely with marketing, support, and product teams to achieve business goals.
• Mentor and assist in training less experienced team members to help them achieve their potential and the business objectives.

• You have experience with two or more development languages preferably Java or Python and React, etc 
• You can skillfully write high-quality, well-tested code and you are comfortable with Object-Oriented programming
• Comfortability with Agile methods, such as Extreme Programming (XP), Scrum and/or Kanban
• Bonus points if you have working knowledge of cloud technology such as AWS, Azure, Kubernetes and Docker

Responsibilities:

Work with developers to design specific testing strategies for features being developed and look forward to automating them Create comprehensive test plans and execute them Support the development team in troubleshooting or addressing issues with applications and dev/test environments and do functional Cross-browser testing. Work in an agile team and adhere to agile best practices Maintain existing test frameworks/cases To use several testing techniques to track and address any discovered issues. To use tools (such as IDE, debugger, build tools, and source control) to assist with daily tasks. Work with counterparts/clients on established quality assurance measures and testing Standards for new applications, products, and enhancements to existing applications throughout their development/product lifecycles Work in close co-ordination with the dev team to include test cases in the existing CI/CD pipelines

Requirements:

Proven work experience in software quality assurance in a product based organisation. Strong knowledge of software QA methodologies, tools, and processes. Intermediate experience with automated testing tools. Keen eye for detail and a commitment to excellence. Be willing to help your teammates, share your knowledge with them, and learn from them. Be open to receiving constructive feedback and turning it into process improvements. Key Skills - Selenium, Maven, Test Automation (QA), puppeteer js Keen to work in a startup with a dynamic and fast-paced environment

About Graphene  

Graphene is a Singapore Head quartered AI company which has been recognized as Singapore’s Best  

Start Up By Switzerland’s Seedstarsworld, and also been awarded as best AI platform for healthcare in Vivatech Paris. Graphene India is also a member of the exclusive NASSCOM Deeptech club. We are developing an AI plaform which is disrupting and replacing traditional Market Research with unbiased insights with a focus on healthcare, consumer goods and financial services.  

Graphene was founded by Corporate leaders from Microsoft and P&G, and works closely with the Singapore Government & Universities in creating cutting edge technology which is gaining traction with many Fortune 500 companies in India, Asia and USA.  

Graphene’s culture is grounded in delivering customer delight by recruiting high potential talent and providing an intense learning and collaborative atmosphere, with many ex-employees now hired by large companies across the world.  

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the rare start-ups which is self-funded and is yet profitable and debt free. We have already created a strong bench strength of Singaporean leaders and are recruiting and grooming more talent with a focus on our US expansion.   

Job title: - Data Analyst 

Job Description  

Data Analyst responsible for storage, data enrichment, data transformation, data gathering based on data requests, testing and maintaining data pipelines. 

Responsibilities and Duties  

• Managing end to end data pipeline from data source to visualization layer 
• Ensure data integrity; Ability to pre-empt data errors 
• Organized managing and storage of data 
• Provide quality assurance of data, working with quality assurance analysts if necessary. 
• Commissioning and decommissioning of data sets. 

• Processing confidential data and information according to guidelines. 
• Helping develop reports and analysis. 
• Troubleshooting the reporting database environment and reports. 
• Managing and designing the reporting environment, including data sources, security, and metadata. 
• Supporting the data warehouse in identifying and revising reporting requirements. 

• Supporting initiatives for data integrity and normalization. 
• Evaluating changes and updates to source production systems. 
• Training end-users on new reports and dashboards. 
• Initiate data gathering based on data requirements 
• Analyse the raw data to check if the requirement is satisfied 

Qualifications and Skills   

• Technologies required: Python, SQL/ No-SQL database(CosmosDB)     
• Experience required 2 – 5 Years. Experience in Data Analysis using Python 

•  Understanding of software development life cycle   

• Plan, coordinate, develop, test and support data pipelines, document, support for reporting dashboards (PowerBI) 
• Automation steps needed to transform and enrich data.   
• Communicate issues, risks, and concerns proactively to management. Document the process thoroughly to allow peers to assist with support as needed.   
• Excellent verbal and written communication skills   

Job Description

Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.

Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Experience

10+ Years

Location

Bozeman/Hyderabad

Skills

Required Skills:

Bachelors/Masters or Phd in Computer Science or related industry experience

3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow

7+ Years of industry experience in scripting languages such as Python, R.

7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing

Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc

Some experience in setting up large scale training data pipelines.

Some experience in using Cloud services such as AWS, GCP, Azure

Desired Skills:

Experience in building deep learning models for Computer Vision and Natural Language Processing domains

Experience in productionizing/serving machine learning in industry setting

Understand the principles of developing cloud native applications

Responsibilities

Collect, Organize and Process data pipelines for developing ML models

Research and develop novel prototypes for customers

Train, implement and evaluate shippable machine learning models

Deploy and iterate improvements of ML Models through feedback