Gen AI Engineer

at QuaXigma IT solutions Private Limited

Gen AI Engineer

QuaXigma IT solutions Private Limited

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Gen AI Engineer

at QuaXigma IT solutions Private Limited

Posted by Murali Linga

3 - 6 yrs

₹8L - ₹20L / yr

Remote, Tirupati

Skills

Large Language Models (LLM)

Llama

Retrieval Augmented Generation (RAG)

Python

FastAPI

Microsoft Windows Azure

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

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

4. NLP & Computer Vision

NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
CV: Image generation using GANs, VAEs, Stable Diffusion.
Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
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

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

6. AI Ethics & Responsible AI

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

7. Mathematics & Statistics

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!

Senior Generative AI Engineer

Job Id: QX016

About Us:

Job Summary:

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

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

4. NLP & Computer Vision

NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
CV: Image generation using GANs, VAEs, Stable Diffusion.
Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
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

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

6. AI Ethics & Responsible AI

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

7. Mathematics & Statistics

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!

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About QuaXigma IT solutions Private Limited

Founded :

2019

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

N/A

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End to end campaign management on various platforms primarily Google (From forecasting to executing, monitoring, evaluating and optimizing campaign performance to generating maximum leads)
Conducting keyword research and optimizing the campaigns
Researching and analyzing competitor advertising links and strategizing the best plan ahead for the business
Optimizing the ad copy, landing pages for the best lead quality
Optimizing the campaigns regularly for improving the performance
Identifying trends and insights, and optimizing spend and performance based on the insights
Measuring and reporting performance of all marketing campaigns, and assessing against goals
Brainstorming new and creative growth strategies
Building on an existing level of search engine marketing expertise and developing a reputation for innovation and efficiency
Staying up-to-date with industry trends and developments in search engine marketing, digital marketing as well as consumer behaviour and recommending improvements
Implementing A/B testing to continuously improve ROI

Desired Candidate Profile

What you need to have:

Proven 4+ years SEM experience in managing PPC campaigns across Google
Well-versed in performance marketing, conversion and online customer acquisition
Understanding of keyword matching, keyword research and optimization
Experienced in understanding google analytics and pixel integration
Creative copywriting for ads
Prior experience in working with affiliate ad networks (bonus)
Understanding of campaign data and growth metrics
Working knowledge of analytics tools (Google Analytics, Google Datastudio, GTM, etc.)
Excellent communication skills
Strong analytical and problem-solving abilities
Willingness to work in a dynamic startup environment
Ability to think creatively and work independently in a fast working environment

Senior Android Developer

at Y Media Labs

8 recruiters

Posted by Shama Nayak

Remote, Bengaluru (Bangalore)

4 - 7 yrs

₹7L - ₹16L / yr

Android Development

Kotlin

Java

• Strong foundation in Computer Science fundamentals like data structures and
algorithms, and software engineering principles
• Passionate about creating great code
• Multiple years of experience in Android application development, with Java and/or
Kotlin. Kotlin experience is a major advantage.
• More than one published application on the Google Play store available for immediate
download and review by our team. Please provide names of all your apps that you've
worked with a brief description of your contribution (if not individually developed).
• Strong experience in building and publishing commercial applications to Google Play
store.
• Multiple years of in Java I/O, RDBMS, Networking, Generics and well-known
application frameworks.
• Solid Understanding of Android design principles and interface guidelines.
• Experience with performance and memory tuning using tools
• Experience coding with RESTful APIs to connect applications to back-end services.
• Great team player who works well in collaborative situations
• Experience with iOS app development is a major plus. Experience with cross-platform
tools would be an advantage
• Experience with tools like Git, Jira, Basecamp, BitBucket, Azure DevOps would be an
advantage.
• Good to have experience working with IOT projects, Bluetooth technologies
• Active Open Source, GitHub or Stack Overflow contribution will be a big plus
• Having personal apps in play store will be an added advantage
• Working knowledge of the general mobile landscape, architectures, trends & emerging
technologies.

Telesales Executive

at REINDIA GROUP

1 recruiter

Posted by PRIYA PRADHAN

Noida, NCR (Delhi | Gurgaon | Noida)

0 - 1 yrs

₹1L - ₹1.4L / yr

Telesales

Tele Sales

Customer Support

CALLING

LOOKING FOR TELECALLERS FOR NOIDA LOCATION HAVING GOOD COMMUNICATION SKILL. FEMALE CANDIDATES WILL BE GIVEN PREFERENCE

Team Manager

at Topprcom

15 recruiters

Posted by Harshita Vachhani

Raipur

4 - 7 yrs

₹4L - ₹5L / yr

Field Sales

Leadership

B2C SALES

Sales

Business Development

Job Description – Team Manager Field Sales, Toppr.com COMPANY Toppr is India’s best learning app that provides personalized learning for students studying for boards, Olympiads and various engineering and medical competitive exams. Toppr enables students to study comprehensively and perform at their best in CBSE, ICSE, State Boards along with JEE, NEET and other competitive exams. Toppr was founded in 2013 and is backed by Saif Partners, Helion Ventures and Fidelity Growth Partners (Eight Road Ventures). Based out of Mumbai, Toppr currently caters to 20L+ registered students in classes 5-12, who are taking advantage of its deep-structured content and powerful adaptive algorithms. Toppr has experienced phenomenal top line growth (400% over the last year) at a significant contribution margin, making it one of the few sustainable start-ups in the Indian ecosystem. The company has sales offices in 15 cities from where students can get access to further counselling assistance. The aim is to double the city presence by the end of 2017. ROLE We are looking Team Manager – Field Sales with the following qualities: • Dynamic Professional in Leading & Driving the Sales Team, setting up Revenue Targets in line with Organisational Goals. Motivating & Mentoring team to achieve & Exceed Individual & Team Targets. Design & Develop Business Models. • Ability to forge alliances quickly. KEY RESPONSIBILITIES: • Provide team with a vision and objectives and manage key performance indicators • Set the monthly ,weekly, daily Targets for the team and ensure that the targets are achieved • Maintain the sales report of the Team • Needs to own hiring and firing and deliverables of at least 10 people for TL role • Practically Driving Team to work in the bracket from 11.00 AM – 12.00 Late Night QUALIFICATIONS: Must Have: • Able to Manage Team of 15 – 20 Sales Exec. Conducting weekly reviews for Performance & Training. Identifying the areas of Improvements & KPI’s • Involved in lot of calling on phone for negotiation and objection handling • Good communication skill – Voice Modulation, Clear Pronunciation • Experience in to Data Analysis. • Experience of at least 4- 5 yrs in to Field Sales in B2C Segment Preferred candidate who have sold services (like insurance, vacation plans, matrimony) or people who have sold product cost between 5k - 100k • Excel or Google sheet expertise is a must. Good to Have: • Experience with sales/operations function into Field Sales in B2C – Educational Domain preferred.

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