
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!

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Job description
Role: Junior Content Writer
Job Type: Full-time
Exp: 0- 1yrs
Location: Ambattur, Chennai
Requirements:
Key Responsibilities:
- Content Creation: Write, edit, and publish engaging content for various platforms, including blogs, websites, social media, and marketing materials.
- Research: Conduct thorough research to ensure content accuracy and relevance, utilizing credible sources and industry insights.
- SEO Optimization: Implement SEO best practices to improve content visibility and drive organic traffic.
- Collaboration: Work closely with marketing, design, and product teams to develop cohesive content strategies and campaigns.
- Content Management: Maintain an organized content calendar and ensure timely delivery of all written materials.
- Audience Engagement: Analyze audience engagement metrics to inform content strategy and improve overall effectiveness.
- Proofreading: Edit and proofread content to ensure clarity, consistency, and adherence to brand guidelines.
Qualifications:
- Education: Bachelor’s degree in English, Communications, Journalism, or a related field.
- Skills:
- Exceptional writing, editing, and proofreading skills.
- Strong understanding of SEO principles and content marketing strategies.
- Familiarity with content management systems (CMS) and basic HTML is a plus.
- Ability to adapt writing style to suit different audiences and platforms.
Benefits:
- Opportunities for professional growth and skill development.
- Provident Fund and ESI
- Team outing and Team Lunch
If you are passionate about Writing and have a strong foundation, we encourage you to apply!
with the subject line "Application for Content Writer".
Let’s get started on building your path to success!
Senior Machine Learning Engineer
📍 Location: Remote
💼 Type: Full-Time
💰 Salary: $800 - $1,000 USD / month
Apply at: https://forms.gle/Fwti67UeTEkx2Kkn6
About Us
At Momenta, we're committed to creating a safer digital world by protecting individuals and businesses from voice-based fraud and scams. Through innovative AI technology and community collaboration, we're building a future where communication is secure and trustworthy.
Position Overview
We’re hiring a Senior Machine Learning Engineer with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment.
Key Responsibilities
📌 Design and Deliver Core Detection Pipeline
Lead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies.
📌 Model Strategy, Development, and Optimization
Own the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment.
📌 Latency-Conscious Production Readiness
Ensure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments.
📌 Evaluation Framework and Continuous Testing
Design and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions.
📌 Deployment Engineering and API Integration
Deliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability, and ease of deployment across environments.
Required Skills & Qualifications
🎯 Technical Skills:
ML Frameworks: PyTorch, TensorFlow, ONNX, OpenVINO, TorchScript
Audio Libraries: Librosa, Torchaudio, FFmpeg
Model Development: CNNs, Transformers, Wav2Vec/WavLM, AASIST, RawNet
Signal Processing: VAD, noise reduction, band-pass filtering, codec simulation
Optimization: Quantization, pruning, GPU acceleration
DevOps: Git, Docker, CI/CD, FastAPI or Flask, REST/gRPC
🎯 Preferred Experience:
Prior work on audio deepfake detection or telephony speech processing
Experience with real-time ML model deployment
Understanding of adversarial robustness and domain adaptation
Familiarity with call center environments or telecom-grade constraints
Compensation & Career Path:
Competitive pay based on experience and capability. ($800 - $1,000 USD / month)
Full-time with potential for conversion to a core team role.
Opportunity to lead future research and production deployments as part of our AI division.
Why Join Momenta?
Solve a global security crisis with cutting-edge AI.
Own a deliverable that will ship into production at scale.
Join a fast-growing team with seasoned founders and engineers.
Fully remote, high-autonomy environment focused on deep work.
🚀 Apply now and help shape the future of voice security
Role: HR Generalist
Location: Mumbai
Full-time
About the company we are hiring for:
Our client believes in “the power of collaboration”, hence we are on a mission to consolidate the fragmented manufacturing base in Indian specialty chemicals segment. We are a full stack supplier of specialty chemicals and intermediates. Reliability, quality and affordability are the three pillars of our core values.
Today, they are having a combined manufacturing capacity of ~ 5000 MTPA where over 50 chemicals are getting produced for various end industries i.e., personal care, pharma APIs, polymers, fragrances, agriculture etc.
With presence across diverse specialty chemical value chains and multiple production facilities, Mstack is a one of a kind and highly reliable one stop shop supplier to customers across globe.
It has been funded by global Tier-1 venture capital fund (Lightspeed Venture Partners - $10B+ AUM fund and early investors in Oyo, Byjus, Udaan) and have several renowned thought leaders and opinion shapers from the chemicals industry as advisors.
Job description:
Recruitment:
Job description:
Recruitment:
• Designing and updating job descriptions
• Sourcing potential candidates from various online channels
• Advertise job openings on company's LinkedIn profile, Social Media, Job portals and internally -
Screen incoming resumes and application forms and interview candidates
• Coordinate with the hiring Managers for the qualified/ shortlisted candidates
• Send job offers and answer queries about compensation and benefits
• Collaborate with Managers to identify future hiring needs
• Act as a consultant to new hires and help them onboard
Operations:
• Monitor internal HR systems, processes and databases
• Act as a consultant to the employees and Managers regarding policies and procedures - Address
employee queries
• Work closely with the finance team on payroll
• Manage employee onboarding, training and induction in tandem with the Managers
• Maintain all personnel files
• Oversee performance evaluation procedures
• Manage employee leaves as per the company policies and procedures - Initiate employee
engagement activities along with the Admin team
• Keep up to date with the latest HR trends and practices
Requirements:
• 3+ years of proven experience in the required field
• Understanding of general human resources policies, procedures, labor laws and compliances -
Good written and spoken communication skills
• Aptitude for problem-solving
Confidential
• Good knowledge of MS office
• Attention to detail
Job Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
Digital Marketing Manager - Astroyogi.com
Responsibilities
- Own the strategy and roadmap for a key product/business area.
- Should have in-depth understanding of implementation of Digital Marketing aspects – Adwords, Analytics, SEO, SEM, SMO, SMM,PPC etc.
- Responsible for tracking the performance of all campaigns that are run.
- Optimization for campaigns to ensure the best output, setting up campaign, ad group, ads, and budget correctly.
- Optimizing stage, exploring A/B test creative, split audience, use advanced audience breakdown to find best practice and best optimization approach to increase conversion rate.
- Understanding of branding and brand communication is also a bonus.
- Manage marketing budget and monitor usage for all platforms.
- Clear understanding of calculation of RoAS and other metrics is important
- Experience of working with agencies in performance marketing as well as media and creative agencies
- What we’re looking for:
- Minimum of 5-7 years digital marketing experience in brand, ecommerce or digital agency.
- Strong analytical mindset and knowledge of performance marketing metrics.
- Solid skills in executing and optimizing digital campaigns across various digital channels while being able to ensure that all campaign objectives and KPI targets are achieved.
- Tracking and reporting campaign results, analyzing key-takeaways and deriving actionable insights.
- Strong Leadership, interpersonal and communication skills to connect with people from different cultures and levels, both internally and externally.
- Highly organized, good time management and the ability to meet deadlines.
- Excellent English in written and verbal communication skills.
Excited? You would feel this excitement each day working for Netway India, AstroYogi. We are growing each day and we need you to ensure it becomes higher each day.
Must-Have Technology Skills:
- OOP Concept, Java 8+, Spring Boot, API development, Agile Scrum knowledge, Strong Databases design concepts of RDBMS, and capable of writing and optimizing complex queries.
Good understanding of any Database tool e.g. Postgres, MySQL, etc., - DevOps basic knowledge e.g. implementation of logging in the code, Application Performance Management.
- Basic API & Application security, and Basics of tuning application performance.
- Basic Understanding of DevOps concepts e.g. CI & CD, Deployment lifecycle, Basic understanding of unit testing concepts e.g. TDD (test-driven development).
- A basic understanding of Microservices patterns
- A basic understanding of Java scripting.
- Good understanding of UI Frameworks like Angular 8+
Must-Have Soft Skills:
- Verbal & Written English communication, Good Problem-solving skills,
- Good Planning skills,
- Team Player,
- Good leadership skills
- Good written and verbal communication
Job Description
- Good experience as a full-stack developer in DB-centric applications and should be able to write and optimize complex database queries
- Requirement gathering & understanding, effort estimation, technical design, project planning, and monitoring in an Agile environment.
- Work proactively & independently to address project requirements, and articulate issues/challenges with enough lead time to address project delivery risks.
- Providing expertise in technical analysis and solving technical issues during project delivery.
- Customer interfacing - understand customer requirements, and propose technical solutions.
- Full Software Development Lifecycle (Agile).
- Code reviews, test case reviews and ensure code developed meets the requirements.
- Component Design/ Coding/ Unit Testing/ Debugging / Test Driven Development / Continuous Integration.
- Carry out adaptive changes necessitated by changes in Business Requirements and Technology
Currently it has over 300 employees on its rolls and caters to customers through a hub office at every 100 kilometres in Northern India( including Delhi/ NCR , Haryana, Punjab, Himachal Pradesh and Jammu & Kashmir).
The ability to ensure zero downtime for its customers, by providing timely and quality support both in terms of products and services has been the cornerstone of its growth and success.
As a Warehouse Manager, you will be managing the overall functioning of the warehouse including coordinating with the dispatch department & billing department.
What you need to do:
- Working on the shop floor and ensuring efficient running of the warehouse
- Maintaining the warehouse properly and ensuring material is as per billing
- Being responsible for the day-to-day smooth operations of the warehouse
- Building and mentoring a team of warehouse executives and also leading and monitoring their performance on a day-to-day basis
- Maintaining the industrial equipment and spare parts in the warehouse properly, overseeing their pricing, amending to the repairing needs if any and ensuring FIFO and other processes are being followed
- Recording the various warehouse activities, equipment and spares and reporting the same to the company on a timely basis
- Analyzing risk factors involved, analyzing warehouse safety measures and accident reporting system
- Ensuring adherence to all the standard processes and procedures followed by the company
- Strategizing the functions of the warehouse to yield maximum profit
Desired Candidate Profile
What you need to have:
- 7– 10 years of relevant work experience
- Graduation is a must
- Excellent communication skills
- Excellent knowledge and experience in managing heavy equipment and spares
- Good staff management skills
Creating detailed, comprehensive and well-structured test plans and test cases Estimating, prioritizing, planning and coordinating testing activities
We are looking for a Quality Assurance (QA) engineer to develop and execute exploratory and automated tests to ensure product quality.
QA engineer responsibilities include designing and implementing tests, debugging and defining corrective actions. You will also review system requirements and track quality assurance metrics (e.g. defect densities and open defect counts.)
The QA engineer role plays an important part in our company’s product development process. Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering background and enjoy providing end-to-end solutions to software quality problems, we’d like to meet you.
Ultimately, you should monitor all stages of software development to identify and resolve system malfunctions to meet quality standards.
Responsibilities
Review requirements, specifications and technical design documents to provide timely and meaningful feedback Create detailed, comprehensive and well-structured test plans and test cases Estimate, prioritize, plan and coordinate testing activities Design, develop and execute automation scripts using open source tools Identify, record, document thoroughly and track bugs Perform thorough regression testing when bugs are resolved Develop and apply testing processes for new and existing products to meet client needs Liaise with internal teams (e.g. developers and product managers) to identify system requirements Monitor debugging process results Investigate the causes of non-conforming software and train users to implement solutions Track quality assurance metrics, like defect densities and open defect counts Stay up-to-date with new testing tools and test strategies Requirements
Proven work experience in software development Proven work experience in software quality assurance Strong knowledge of software QA methodologies, tools and processes Experience in writing clear, concise and comprehensive test plans and test cases Hands-on experience with both white box and black box testing Hands-on experience with automated testing tools Solid knowledge of SQL and scripting Experience working in an Agile/Scrum development process Experience with performance and/or security testing is a plus Degree not mandatory , More like good to have
This should include making responsive UIs to efficiently query data and also manage states in an optimized manner.
•Native Android and IOS: To build custom Flutter Packages.
•Firebase: Should have experience with Cloud Firestore, Push Notifications, Cloud Functions, and Analytics.
•Adobe XD: Should know how to use Adobe XD to use the design file and use it to build the app.
•Git: To manage and collaborate in different projects with the rest of the team.
•Familiarity with RESTful APIs and mobile libraries for networking
Familiarity with the JSON format
Experience with profiling and debugging mobile applications.
About the Role:
We are looking for a Senior Software Engineer with experience in ROR/GoLang , having 3+ yrs of experience on how best to leverage and exploit the language’s unique paradigms, idioms, and syntax. Your primary focus will be on developing Enterprise Grade Systems and programs that are scalable and maintainable. You will ensure that these packages and programs are well documented and has a reasonable test coverage. You will coordinate with the rest of the team working on different layers of the infrastructure. A commitment to collaborative problem solving, sophisticated design, and quality product is essential.
What You'll Do
- Writing scalable, robust, testable, efficient, and easily maintainable code
- Translating software requirements into stable, working, high performance software
- Playing a key role in architectural and design decisions, building toward an efficient micro services distributed architecture
What You'll Need
-
Working experience on Ruby-on-Rails(ROR)/Golang.
- Worked on enterprise grade systems
- Have designed web services
- Know how to scale systems that have database bottlenecks etc.
- Having good exposure to Microservices architecture added value.
-
Familiarity with OAuth, JWT, SSO, Authentication, and Identity Federation is an added advantage.
-
Familiar with AWS, Docker, and Kubernetes, Pods and Meshes are added advantage.
-
Experience in MySQL, Snowflake, and MongoDB is an added advantage









