Product Marketing Associate

We are seeking a skilled Qlik Developer with 4-5 years of experience in Qlik development to join our team. The ideal candidate will have expertise in QlikView and Qlik Sense, along with strong communication skills for interacting with business stakeholders. Knowledge of other BI tools such as Power BI and Tableau is a plus.

Must-Have Skills:

QlikView and Qlik Sense Development: 4-5 years of hands-on experience in developing and maintaining QlikView/Qlik Sense applications and dashboards.

Data Visualization: Proficiency in creating interactive reports and dashboards, with a deep understanding of data storytelling.

ETL (Extract, Transform, Load): Experience in data extraction from multiple data sources (databases, flat files, APIs) and transforming it into actionable insights.

Qlik Scripting: Knowledge of Qlik scripting, set analysis, and expressions to create efficient solutions.

Data Modeling: Expertise in designing and implementing data models for reporting and analytics.

Stakeholder Communication: Strong communication skills to collaborate with non-technical business users and translate their requirements into effective BI solutions.

Troubleshooting and Support: Ability to identify, troubleshoot, and resolve issues related to Qlik applications.

Nice-to-Have Skills:

Other BI Tools: Experience in using other business intelligence tools such as Power BI and Tableau.

SQL & Data Querying: Familiarity with SQL for data querying and database management.

Cloud Platforms: Experience with cloud services like Azure, AWS, or Google Cloud in relation to BI and data solutions.

Programming Knowledge: Exposure to programming languages like Python or R.

Agile Methodologies: Understanding of Agile frameworks for project delivery.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases .

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

COMPANY INTRODUCTION

NEST® [NESTECH]

NEST® works with a range of international clientele in the development of bespoke software solutions. NEST® specializes in data and direct engagement structures, digital marketing, data with blockchain security and much more.

NEST® founders have had decades in the visual arts, architecture, sculpture as well as inking the human canvas. More mundanely, from fifteen countries our formal training is in law, philosophy, international logistics and technology. There are currently NEST® branch offices in England, Singapore, USA and India. What happened yesterday isn’t important. We believe what you privately achieve tomorrow is.

JOB DESCRIPTION:

Job Title: Mean Stack Developer 

Location: Pune (Remote)

You should be able to quickly understand and support initiatives that will contribute to the goals and success of operations. You would also be working with various departments to coordinate and develop digital CRM solutions including bespoke in-house software. 

EXPERIENCE:
 

• Minimum 2 years of hands-on experience 
• Write clean, manageable code and maintain proper documentation
• Excellent command over Data Structures and Algorithms 
• Strong problem solving and analytical skills 
• Knowledge of benchmarking and optimization 
• Security mindedness in development practices 
• Collaborate with cross-functional teams to define, design, and deliver new features
•  Ability to work independently in small teams 
• Responsible and capable of meeting tight deadlines 

SKILLS + QUALIFICATIONS :

• Experience using web services (HTTP, REST,) using JSON. 
• Good Knowledge of Angular, NodeJS, and MongoDB. 
• Good Knowledge of Docker, CICD pipeline. 
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript. 
• Good in Writing effective APIs 
• Developing front-end and back-end website Architecture. 
• Accurately estimate development timelines and deliver per set schedule. ● Test Software to ensure the responsiveness and efficiency of applications. ● Experienced in Unit Testing with frameworks like Mocha and Chai. 
• Meeting both technical and consumer/client needs. 
• Expertise in optimizing app performance. 
• Experienced in using Agile principles and methodologies 
• Write technical documentation. 
• Troubleshoot, debug, and review the code. 

NEST® OFFERS:

• Competitive Salary
• Flexible Hours
• Paid Vacations
• Fun & Creative Environment / Projects
• Quarterly Performance Reviews
• Generous Bonus Schemes
• Oversea Working Placements
• Dynamic International Clientele
• Multiple Learning Opportunities
• Control And Work On Full Product Life-Cycle
•  Research and Implement Multiple New Technologies

JOB DESCRIPTION

Senior Frontend Engineer (React)

About us-

It is an app that allows offline businesses to sell their products and services

online. On our app, the users can make beautiful product catalogues (catalogs) right from a

smartphone and share with their customers easily on different social media apps such as

Whatsapp Business, Whatsapp, Facebook, Instagram etc. Praised by users all over India, this app has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital. We is currently powering over 3.7 M ecommerce stores built by indian small businesses and growing at a crazy rate.We are looking for a full-stack developer to join our team who will be part of our new innovations team.

DESCRIPTION-

We are looking for a great Frontend developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

RESPONSIBILITIES-

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

REQUIREMENTS-

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Familiarity with newer specifications of EcmaScript
• Familiarity with RESTful APIs and sockets
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM,etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools
• Experience with PWAs and React Native is a huge plus