UX Designer

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

•           LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

•           Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

•           Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

•           Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

•           Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

•           Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

•           Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

•           Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

•           5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

•           12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

•           Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

•           Excellent problem-solving and analytical abilities

•           Strong communication skills, both written and verbal

•           Ability to thrive in a collaborative and fast-paced environment

• Strong knowledge in Kafka development and architecture.
• Hands-on experience on KSQL Database.
• Very good communication, analytical & problem-solving. skills.
• Proven hands-on Development experience Kafka platforms, lenses, confluent.
• Strong knowledge of the framework (Kafka Connect).
• Very comfortable with Shell scripting & Linux commands.
• Experience in DB2 database

• Develops code in C# and front-end technologies like Angular and React.
• Can test own code using unit testing framework.
• Able to understand and adhere to design principles and technical designs explained to him.
• Able to solve algorithmic and platform problems by researching online and trying out solutions

• ASP.Net, C#, SQL Server and JavaScript are must.
• MVC candidate should be preferred.
• Any other JavaScript library also an added advantage.

• Analysis
• Multitasking
• Communication Skills
• Results Oriented
• High Energy
• Self-Motivated

Counsell potential Students over a call to inform them about a product and help them in making better career decisions.

● Answer questions about our products or the company.

● Sale as per requirement from the students.

● Maintain Sales Report and update in the CRM time to time.

Job Requirements

● 6 months - 2 years of work experience in sales/business development/voice process.

● Excellent interpersonal and communication skills.

● Strong negotiation skills with a proven ability to seek, create, negotiate, and close a deal.

● Solution-oriented with effective problem-solving skills. 

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

About Typito 

Responsibilities:

• Become the gate-keeper for Product Quality that we offer our customers and uphold the high standard of customer happiness we've achieved so far - https://www.g2.com/products/typito/reviews
• Work closely with engineers and product managers in rolling out new features and enhancements across Typito.
• Own and manage an exhaustive list of test-cases as part of the product development and document iterations of testing we do
• Develop an understanding of the Typito product and document use-case scenarios
• Own efforts on Functional, Regression, UI testing for Web and Mobile
• Participate in product feature rollouts and suggest useful feature additions on the app and recommend improvements in Typito to enhance user experience
• Be an advocate of app performance and lead initiatives on this front.

Requirements:

• Experience - At least 2 years experience being part of a QA team with defined responsibilities that gave you exposure to efficient testing and deployment processes.
• Impeccable communication skills - You'll be collaborating with multiple teams, having the ability to communicate with both technical and non-technical people is necessary.
• Critical thinking skills - You know how to think from a customer's perspective throughout the entire development cycle #empathy. You should be able to create lots of "What If" scenarios and make sure the app is battle-tested to handle those scenarios.
• Quick learner - Typito app is changing at a rapid pace, there is no single way to handle issues that come up. You must adapt quickly to new tools and techniques that keep improving your own workflow.
• Collaboration skills - As mentioned above, you'll be collaborating with developers and product managers, alike. It's important that you understand how to convey important issues to other people, and to listen well. We believe in the power of red-flagging and we expect the QA function to help us get upto speed on challenges faced by our customers.
• Automation testing skills is a strong plus as we would be experimenting with automation suites that can make our QA function more robust and efficient.

Here’s what you will do day-to-day:

Brainstorm, contribute new ideas, conceive innovative strategies, and implement solutions to difficult problems

Work with fellow designers and developers in an iterative environment with short and impactful development cycles 

Exploit the most advanced Android APIs and platform features to build innovative solutions to real-world problems 

Build all the necessary tools and infrastructure to enable rapid mobile development 

Work closely with our backend team to interface with RESTful API services 

Work with real-time feedback from our users to make the product better 

Discover, design, develop, deploy, debug. Repeat! 

Why work with us?

Work in a very small, highly talented team consisting IIT alumnus and rockstar developers

High standard of engineering quality 

Work on cutting edge technologies in android development so that you are always updated with the trends in android community. P.S. We hate outdated technologies! 

High impact role at fast paced growth company 

Skills we are looking for - Android Engineer:

Must be able to independently design, code and test major features, as well as work jointly with other team members to deliver complex changes.

Strong object-oriented design and coding skills (Java, Kotlin) 

Solid software development background including design patterns, algorithms, data structures 

Experience with MVVM or MVP or Clean architecture 

Experience with mobile data storage with SQLite/Room or other DBs including no-SQL 

Understanding of RxJava, Dependency Injection frameworks like Dagger 2 

Good experience in memory management, performance tuning, and resource optimizations 

Has published at least one app in play store 

Few Good to Haves:

Kotlin experience is a big plus

Experience working in a startup 

Experience with Camera and Google Maps apis 

Published apps in play store 

Github/Medium/StackOverflow presence 

Our Android Tech:

Clean architecture with best practices in MVVM 

Latest jetpack components 

Reactive programming 

Kotlin