Head of Product-PaaS

Key Responsibilities:

• Design, create, and maintain applications using the .NET platform and environment.
• Understand requirements and transform them into functional applications aligned with business objectives.
• Maintain and upgrade existing applications and fix issues.
• Collaborate with peers to design optimal solutions using the .NET framework and Microsoft tech stack.
• Rewrite or modify existing code to improve efficiency and performance.
• Ensure error-free code that adheres to best coding practices.
• Test, monitor, and optimize applications through incremental updates and new features.
• Offer technical support for web, mobile, and desktop applications.
• Integrate data storage systems and maintain code quality.
• Identify and address performance bottlenecks.
• Create architecture, specifications, and user interfaces for .NET applications.
• Innovate and build high-quality software solutions leveraging the .NET platform.
• Implement best practices and methodologies for security, quality, and development.
• API generation

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong proficiency in .NET technologies (e.g., ASP.NET, .NET Core, C#, C++, Javascript).
• Understanding of RESTful APIs and web services.
• Familiarity with version control systems (e.g., Git)

• Produce well-researched, informative, and engaging content that aligns with our B2B SaaS industry, including blog posts, articles, whitepapers, case studies, and website content.
• SEO Optimization: Conduct keyword research to identify relevant search terms and phrases, and incorporate them into your content to maximize organic visibility.
• Collaborate with the marketing team to develop content strategies that align with business goals and industry trends.
• Promote your content through various channels, including social media, email marketing, and other online platforms, to increase reach and engagement.
• Create content that speaks directly to our target audience, addressing their pain points and providing valuable solutions.
• Stay current with SEO and content marketing best practices, industry trends, and competitors' strategies to continually improve our content efforts.

INTERESTED IN TELE MARKETING / TELE CALLING.

MANAGE DAILY WORK REPORT

CREATE DEALER AND DISTRIBUTION NETWORK

READY TO ACHIEVE YEARLY TARGET

WORK IN TEAM.

• 5+ years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications
• Good attitude, strong problem-solving abilities, analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning, and deploying the apps to Prod.
• Should have good working experience Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• Kafka
• J2EE Frameworks (Spring/Hibernate/REST)
• Spark Streaming or any other streaming technology.
• Java programming language is mandatory.
• Good to have experience with Java
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands-on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories’ execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counterparts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

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