11+ Siteminder Jobs in India

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!

Promotion & Influencer Marketing: PAID AD EXPERT

“Strategy, Plan and Process make a digital campaign more effective to perform better.

Only operational understanding or knowledge of tools won’t give any results any more”

If that’s what you also have think, then we are looking for you as our – Paid Ad Expert

Job Essence- Paid Ad Expert

Work Profile-

• Set up Optimize |Management of Paid campaigns
• A) Search Engine driven (Google/Bing/ Campaign Specific)
• B) Social Media (Facebook/Instagram/LinkedIn/Youtube/Quora)

2.Deep understanding of digital marketing concepts , brand management and demand generation.

3.Professional level knowledge (not just as a user or a hobbyst) of social media platforms and paid media landscape, including new/shifting platforms and algorithms.

4.Own, manage and grow digital channel outreach for clients.

5.Online Reputation Management process and structure.

6.Email, WhatsApp, Telegram Marketing and Analytics

Must-Have-

• Strong with analysis and observation .
• Focuses on activity leading to Productivity
• More of intelligence over Mechanical working
• Excellent communication skills in hindi and english
• Excellent team player with mindful and problem solving approach towards work.
• Empathetic and Compassionate
• Understanding towards client requirements
• Ability to work in multiple clients and campaigns scenario with process driven attitude
• Not just an entry level/operational DIY person however keen to make career at higher roles in coming days.
• Team Player as well as Team manager capability.

Experience- 3-10 years

Industry

• Marketing & Advertising

Employment Type

Full-time

• Must have 6+ years of experience in C/C++ programming language.
• Knowledge of Go programming language and Python programming language is a big plus.
• Strong background in L4-L7 Internet Protocols TCP, HTTP, HTTP2, GRPC and HTTPS/SSL/TLS.
• Background in Internet security related products such as Web Application Firewalls, API Security Gateways, Reverse Proxies and Forward Proxies
• Proven knowledge of Linux kernel internals (process scheduler, memory management, etc.)
• Experience with eBPF is a plus.
• Hands-on experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) with continuous delivery
• Familiar with containerization solutions like Docker/Kubernetes etc.
• Familiar with serverless technologies such as AWS Lambda.
• Exposure to machine learning technologies and distributed systems is a plus
• B.E/B.Tech/MS degree in Computer Science, or equivalent

Role: ODI Developer

Location: Hyderabad (Initially remote)

Experience: 5-8 Years

Technovert is not your typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice.

We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that deliver.

Must have:

• Experience with DWH Implementation experience, with experience in developing ETL processes - ETL control tables, error logging, auditing, data quality, etc.
• Responsible for creation of ELT maps, Migrations into different environments, Maintenance and Monitoring of the infrastructure, working with DBA's as well as creation of new reports to assist executive and managerial levels in analyzing the business needs to target the customers.
• Should be able to implement reusability, parameterization, workflow design, etc.
• Expertise in the Oracle ODI toolset and OAC & knowledge of ODI Master and work repository &data modeling and ETL design.
• Used ODI Topology Manager to create connections to various technologies such as Oracle, SQL Server, Flat files, XML, etc.
• Using ODI mappings, error handling, automation using ODI, Load plans, Migration of Objects.
• Ability to design ETL unit test cases and debug ETL Mappings, expertise in developing Load Plans, Scheduling Jobs.
• Integrate ODI with multiple Sources/targets.

Nice to have:

• Exposure towards Oracle Cloud Infrastructure (OCI) is preferable.
• Knowledge in Oracle Analytics Cloud to Explore data through visualizations, load, and model data.
• Hands-on experience of ODI 12c would be an added advantage.

Qualification:

• Overall 3+ years of experience in Oracle Data Integrator (ODI) and Oracle Data Integrator Cloud Service (ODICS).
• Experience in designing and implementing the E-LT architecture that is required to build a data warehouse, including source-to-staging area, staging-to-target area, data transformations, and EL-T process flows.
• Must be well versed and hands-on in using and customizing Knowledge Modules (KM) and experience of performance tuning of mappings.
• Must be self-starting, have strong attention to detail and accuracy, and able to fill multiple roles within the Oracle environment.
• Should be good with Oracle/SQL and should have a good understanding of DDL Deployments.

Roles and responsibilities

• • Develop well-designed, performant and scalable microservices
  • Write reusable, testable, and efficient code that follow software development best practices
  • Integrate data storage solutions including databases, key-value stores, blob stores, etc.
  • Expose business functionality to frontend/mobile applications and partner systems through secure and scalable APIs.
  • Build integrations with 3rd party applications through apis’ to ingest and process data
  • Ensure security and data protection aspects within the applications
  • Contribute to devops by building CD/CI pipelines to automate releases
  • Ensure high performance and availability of distributed systems and applications
  • Interact directly with client project team members and operational staff to support live customer deployments and production issues.

• 4+ years of experience in developing applications using Scala and related technologies.
• Thorough understanding of multithreading concepts and async execution using Actor model.
• Thorough understanding of Play framework, GraphQL and GRPC technologies.
• Experience in using DAL and ORM (Object Relational Mapper) libraries for data access.
• Experiencing in developing and hosting APIs and integration with external applications.
• Experience in building data models and repositories using relational and NoSql databases.
• Knowledge of JIRA, Bitbucket and agile methodologies.
• Good to have knowledge of AWS services like Lambda, dynamodb, kinesis and others.
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming and distributed architectures.
• Strong unit test and debugging skills
• Affinity for learning and applying new technologies and solving new problems
• Effective organizational skills with strong attention to detail
• Experience in working with docker is a plus
• Comfortable in working with Unix/Linux environment
• Strong communication skills — both written and verbal