Graphic Designer

Key Responsibilities:

 Develop engaging, persuasive, and original content for websites, blogs, social media,

email campaigns, paid ads, and more.

 Collaborate with creative and marketing teams to brainstorm ideas, create concepts,

and develop messaging.

 Understand brand tone of voice and maintain consistency across all communications.

 Write clear, attractive copy with a distinct voice tailored to different audiences.

 Edit and proofread copy as needed, ensuring high editorial standards are met across

all outputs.

 Conduct research and interviews when required to understand products, target

audiences, and industry trends.

 Optimize copy for SEO best practices without sacrificing quality or tone.

 Contribute to content strategies that drive engagement, leads, and brand loyalty.

 Handle multiple projects simultaneously while meeting tight deadlines.

 Maintain up-to-date knowledge of content marketing, digital trends, and platform

updates.

• Looking for sr.java full stack developer
• java, springboot, angular 2/4/6/8, html and css
• experience with unit testing
• good exposure to oops

• Determining the structure and design of web pages.
•  Building reusable and efficient code for future use.
•  Ensuring web design is optimized for smartphones.
•  Use markup languages like HTML to create user-friendly web pages.
•  Maintain and improve the website.
•  Optimize applications for maximum speed.
•  Collaborate with back-end developers and web designers to improve usability.
• Stay up-to-date on emerging technologies.

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