Project Engineer - MEP in interior

Senior Generative AI Engineer

Job Id: QX016

About Us:

The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.

Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.

Responsibilities:

·        Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics

·        Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).

·        Handle data preprocessing, augmentation, and synthetic data generation.

·        Work with NLP, text generation, and contextual comprehension tasks.

·        Develop backend services using Python or .NET for LLM-powered applications.

·        Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).

·        Optimize AI pipelines and ensure scalability.

·        Stay updated with advancements in AI and ML.

Skills & Requirements:

• Strong knowledge of machine learning, deep learning, and NLP.
• Proficiency in Python, TensorFlow, PyTorch, and Keras.
• Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
• Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
• Ability to work independently and as part of a team.
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 6+ years of experience in Gen AI, or related roles.
• Experience with AI/ML model integration into data pipelines.

Core Competencies for Generative AI Engineers:

1.      Programming & Software Development

a.      Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.

b.      LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.

c.      API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.

d.      Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.

2.      Vector Database & Cloud AI Solutions

a.      Pinecone, FAISS, ChromaDB, Neo4j

b.      Azure Redis/ Cognitive Search

c.      Azure OpenAI Service

d.      Azure ML Studio Models

e.      AWS (Relevant Services)

3.      Data Engineering & Processing

1. Handling large-scale structured & unstructured datasets.
2. Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
3. Feature engineering and data augmentation techniques.

4.      NLP & Computer Vision

1. NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
2. CV: Image generation using GANs, VAEs, Stable Diffusion.
3. Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
4. Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
5. Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
6. Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.

5.      Model Deployment & Optimization

1. Model compression (quantization, pruning, distillation).
2. Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
3. Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
4. API integration with front-end applications.

6.      AI Ethics & Responsible AI

1. Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).

7.      Mathematics & Statistics

1. Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).

8.      Machine Learning & Deep Learning

a.      Expertise in supervised, unsupervised, and reinforcement learning.

a.      Proficiency in TensorFlow, PyTorch, and JAX.

b.      Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).

Personal Attributes:

• Strong problem-solving skills with a passion for data architecture.
• Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
• Highly collaborative, capable of working with cross-functional teams.
• Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Ready to make an impact? Apply today and become part of the QX impact team!

Qualifications:

• Proven experience in sales, preferably in a branding, marketing, or creative agency environment. Ideally 2-4 years
• Strong understanding of branding principles, design, and marketing strategies.
• Excellent communication and presentation skills.
• Results-driven with a track record of meeting or exceeding sales targets.
• Ability to build and maintain strong client relationships.
• Bachelor's degree in Business, Marketing, or a related field is preferred.

Job Description:

• Job involves working on the latest technologies and frameworks in mobile and open source world to develop mobile applications, mobile websites and rich internet applications.
• Candidate should be Collaborative and Quality-focused, resourceful initiative taker, and someone who has good English communication skills.

Desired Candidate Profile:

• Work as part of a team to build React Native iOS / Android applications for clients.
• Architect, build and maintain excellent React Native applications with clean code. Experience with React Js, React Native, JavaScript
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Familiarity with RESTful API. • Release applications to IOS and Google Play stores. • Work with native modules when required.
• Complete the sprints according to the estimated time and participate in sprint retrospectives and daily standups.
• Be part of a community of React Native developers who share knowledge and help each other as problems arise.

As the industry pioneer behind Content Performance Marketing, BrightEdge has thoroughly redefined the concept of Search Engine Optimization (SEO) by developing an award-winning platform that precisely measures and optimizes marketing content across online channels. Our cloud-based platform is powered by big data analysis that allows our customers to plan, optimize, and measure campaigns based on real-time content performance. BrightEdge has emerged as the leading international provider of cloud-based SEO Enterprise solutions due to its dynamic and results oriented entrepreneurial culture.

BrightEdge is looking for a Full Stack Engineer to join our fast-growing team in Cleveland, OH. In this position, you will develop key backend and frontend components used by some of the largest companies in the world. You’ll innovate alongside the best minds in the industry, as well as be one of the first engineers launching our Cleveland engineering team.

Key Responsibilities:

• Collaborate with cross-functional teams to design and implement responsive web interfaces.
• Develop and maintain efficient, reusable, and reliable code using PHP, Python, React.js, HTML, and CSS.
• Troubleshoot and resolve front-end issues, bugs, and performance bottlenecks.
• Stay updated on emerging trends and best practices in front-end development.
• Participate in code reviews to maintain code quality and ensure adherence to coding standards.

What It Takes To Be Successful

• Bachelor's degree in Computer Science or a related field.
• Proven work experience as a Front-End Developer, with 4 to 7 years of relevant experience.
• Proficiency in PHP,React.js, HTML, and CSS.
• Strong understanding of responsive web design principles.
• Experience with version control systems (e.g., Git).
• Solid problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work independently and meet project deadlines.

Benefits & Perks

• Competitive Salary
• Medical/ Dental/ Vision Insurance/ PTO
• A highly collaborative and supportive team
• Hackathons

About BrightEdge

BrightEdge is widely recognized as a global leader in SEO and Digital marketing. The most innovative customers across more than 80 countries trust BrightEdge to modernize their Digital Marketing stack for today’s digital world. We are helping thousands of organizations, including many of the world’s largest companies, transform their businesses and drive more revenue.

The continuous innovation of our product is supported by what we believe to be our most valuable assets our people. Our employees are industry experts at the forefront of digital transformation. Come join us and help us share the future of SEO.

Purpose

 To design, develop, test, and maintain integrated software applications, systems, and platforms

 Responsible for ensuring that the software created is reliable, scalable, and secure

 The candidate should use his/her expertise to maintain enterprise wide upstream and downstream integration

solutions that help organizations achieve their business goals and provide value to end-users

Key Accountabilities

Responsibilities will include but will not be restricted to:

 Designing and developing solutions at middleware and integration layer

 Ensure the best standards are followed for integrating with multiple upstream and downstream

applications

 Documenting and Developing APIs which are fault tolerant, performance oriented and allow for publishing

across multiple sources

 Ensure management of the interfaces on the WSO2 EI platform

 Ensure continuous monitoring, troubleshooting, and debugging

 Ensuring that the integrations development is part of the overall CI/CD pipeline

 Working with stakeholders to ensure that integration solutions meet business requirements and are

delivered on time

Technical Requirements

 A Bachelor’s degree in Computer science, software engineering, or any other equivalent field

 Has 6+ years of experience in the field of software engineering or software development

 Experience with WSO2 middleware technologies like WSO2 Enterprise Integrator (EI), WSO2 API Manager,

and WSO2 Identity Server

 Experience in developing multiple type interfaces such as SOAP, REST, WebHooks, GraphQL and having

knowledge of working on changing one type to other

 Software development skills including proficiency in a modern programming language such as

Java/C++/Python/Golang.

 The ideal candidate should have worked on application development within an enterprise ecosystem.

 The person should also have the necessary knowledge to connect to systems like mail, DB, external

systems, or APIs etc.

 Ideally the person should have demonstrated creating common interfaces or adapters for interactions

between heterogeneous systems with least amount of code change or no code change at all on both the

integrating systems.

 The person needs to be hands on and should be able to write code and review the code of teammates.

Desired Personal Qualities and Behavior

 Excellent relationship management skills with the ability to engage, negotiate and manage key

stakeholders and suppliers.

 Excellent communication, interpersonal and influencing skills.

Automotive Embedded Developer

Experience: 3-8 Years
Location: Bangalore, Hyderabad, Chennai, Pune, Thiruvananthapuram, Calicut
Company: Tata Elxsi

Skills : Embedded C, CAN Protocol, Vector Tools, Aspice. Design and Development of ECU 

We are looking for a blockchain developer who will be responsible for designing, implementing, and supporting a distributed blockchain-based network. Your primary responsibility will be analyzing requirements, designing blockchain technology around a certain business model, and building and launching a blockchain network.

Also, the Position requires maintenance & further development of the existing platform

• Research, design, develop, and test blockchain technologies
• Document new solutions as well as maintain of existing ones
• Be involved in the global blockchain community—work on implementing and integrating the latest improvement proposals

1. Requirements

• Hands-on experience in Ethereum, Solidity, Golang, Nodejs, Javascript, NFT, ERC Tokens, DeFi, DAPPS
• Strong software development background, Expertise in Rest API design and development.
• Experience working in NoSQL databases like MongoDB.
• Strong knowledge of common algorithms and data structures
• Proficient understanding of code versioning tools, such as Git, and familiar with concepts of Cloud-based microservices.

Must have worked with Blockchain products and played a vital role to build that application as a developer

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company