Content Writer

6+ Years of Experience | Expertise in .NET, Vue.js, and Angular

A skilled Front-End Developer with over 6 years of experience in building responsive and dynamic web applications. Proficient in Vue.js, Angular, and .NET Framework/Core, with strong knowledge of HTML5, CSS3, JavaScript, and TypeScript. Adept at integrating APIs, optimizing application performance, and developing reusable UI components using state management tools like Vuex, RxJS, and NgRx.

Experienced in delivering scalable and maintainable solutions across industries, collaborating with cross-functional teams to meet business goals. Proficient in version control systems like Git and build tools like Webpack with expertise in CI/CD pipelines for seamless deployment.

Passionate about crafting user-friendly, high-performing applications with a focus on clean code and best practices. Consistently delivers innovative solutions to enhance user experience and improve development workflows.

Requirements:

1. .NET Experience: 6+ years of experience with .NET framework, including C#, (link unavailable), and MVC.

2. Vue.js Experience: 5+ year of experience with Vue.js, including Vue Router, Vuex, and Vue CLI.

3. Angular Experience: 5+ year of experience with Angular, including Angular CLI, Angular Material, and Angular Universal.

4. Frontend Development: 6+ years of experience with frontend development, including HTML, CSS, JavaScript, and modern frontend frameworks.

5. JavaScript Expertise: Strong expertise in JavaScript, including ES6, ES7, and modern JavaScript features.

6. CSS Expertise: Strong expertise in CSS, including CSS3, Sass, and Less.

7. Version Control: Experience with version control systems, including Git and SVN.

8. Agile Methodologies: Experience with Agile development methodologies, including Scrum and Kanban.

Tools: Angular, Vue.js, .NET Core, Bootstrap, SCSS, Docker.

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

Job Description :

- Collaborate with cross-functional teams to define, design, and ship new features.

- Work with outside data sources and APIs.

- Worked on Dart.js

- Unit-test code for robustness, including edge cases, usability, and general reliability

- Work on bug fixing and improving application performance

- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Responsibilities And Duties :

- Must have built at least one Android, iOS, apps with Flutter or Hybrid Framework.

What you need to have:

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.