AWS - Azure Data Engineer with Snowflake

We are looking for a great JavaScript 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.

• 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

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

• Conducting analysis of website and application requirements.
• Writing back-end code and building efficient PHP modules.
• Developing back-end portals with an optimized database.
• Troubleshooting application and code issues.
• Integrating data storage solutions.
• Responding to integration requests from front-end developers.
• Finalizing back-end features and testing web applications.
• Updating and altering application features to enhance performance.

• Bachelor’s degree in computer science or a similar field.
• Knowledge of PHP web frameworks including Yii, Laravel, and CodeIgniter.
• Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.
• Understanding of object-oriented PHP programming.
• Previous experience creating scalable applications.
• Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.
• Ability to project manage.
• Good problem-solving skills.

• Collaborate with team members to develop high quality software.
• Develop intuitive software that meets and exceeds the needs of the company.
• Professionally maintain all software and create updates regularly to address customer and company concerns.
• Analyze and test programs and products before formal launch. Troubleshoot coding problems quickly and efficiently.
• Designing, developing, and testing UI for mobile and web applications. Build reusable code and libraries for future use.
• Accurately translate user and business needs into functional frontend code

• Should have 3 to 5 year’s hands-on experience in testing Desktop & Web Applications. 
• Should have worked on Desktop & Web automation. 
• Automation expertise using Java, Selenium, SikuliX 
• Experience having automated in an Agile environment. 
• Experience with issue tracking tool (JIRA) and reporting tools. 
• Experience with source code management and build tools - Git, SVN, Maven 
• Experience with continuous integration using bamboo/Jenkins.  

Good to have:  

• Strong knowledge of current automation trends. 

  
Skills & tool set: 

• Programming language: Java 
• Automation tool: SikuliX, Selenium 
• Others: Jira, GIT, Maven, Gradle, Bamboo, TestNG, Charles, Fiddler, JIRA, Zephyr.