Apps DBA

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

Key Responsibilities

• Lead the design, development, and evolution of our AWS platform services and automation frameworks.
• Build scalable, secure, and reusable infrastructure using Terraform, AWS CDK, and GitOps workflows.
• Develop and maintain CI/CD pipelines to support rapid delivery and reliable releases. nerdrabbit.com
• Architect solutions leveraging core AWS services such as EKS, Lambda, IAM, CloudFront, Control Tower, and other platform components.
• Define, enforce, and monitor security, governance, and compliance guardrails using AWS Config, SCPs, AWS SSO, and least-privilege IAM policies.
• Enable observability and reliability with tools like CloudWatch, Grafana, Prometheus, and OpenTelemetry.
• Collaborate with cross-functional teams to deliver internal platform capabilities with clear SLAs and support models.
• Mentor and guide teams in AWS best practices to improve productivity, operational excellence, and cloud cost optimization.

Mandatory Skills & Expertise

• AWS Platform Mastery: In-depth experience with Kubernetes (EKS), serverless (Lambda), IAM, CloudFront, Control Tower, and related platform services.
• Infrastructure as Code: Expert in Terraform, AWS CDK, or equivalent for building production-grade IaC.
• CI/CD & Observability: Strong experience with GitHub Actions and observability stacks (CloudWatch, Grafana, Prometheus, OpenTelemetry).
• Security & Governance: Demonstrated ability to implement governance guardrails (SCPs, AWS Config) and enforce least-privilege access.
• Platform-as-a-Product: Mindset for treating internal platform as a product with service ownership, SLAs, and measurable developer experience improvements.

As a Vue.js Developer, you will be responsible for developing user interfaces and web applications using Vue.js framework, collaborating with cross-functional teams, and implementing front-end solutions that align with business requirements.

Responsibilities:

• Develop and maintain user-facing features using Vue.js framework.
• Collaborate with the design and backend teams to implement intuitive and responsive user interfaces.
• Write clean, maintainable, and reusable code using best practices and coding standards.
• Optimize application performance and ensure scalability.
• Participate in code reviews, bug fixing, and troubleshooting to ensure high-quality deliverables.
• Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
• Stay up-to-date with the latest trends and advancements in Vue.js and front-end development.
• Mentor and provide guidance to junior developers when needed.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of professional experience as a Vue.js Developer or a similar role.
• Strong proficiency in Vue.js and its core principles.
• Proficient understanding of HTML5, CSS3, and JavaScript.
• Experience with Vue CLI, Vuex, Vue Router, and other relevant Vue.js libraries and tools.
• Solid understanding of RESTful APIs and integration of front-end applications with backend services.
• Familiarity with version control systems such as Git.
• Experience with testing frameworks (e.g., Jest, Mocha) and writing unit tests.
• Strong problem-solving skills and the ability to debug complex issues.
• Excellent collaboration and communication skills.
• Self-motivated with the ability to work independently and in a team environment.

Preferred Qualifications:

• Experience with other front-end frameworks such as React or Angular.
• Knowledge of server-side technologies such as Node.js or Express.js.
• Familiarity with Agile/Scrum methodologies.

• 2- 4 years’ experience in solution integration/delivering, and interfacing with customers.
  
• Hands-on experience in SQL and PL/SQL.
• Experience of working in agile teams in implementing large scale digital solutions.
• Good in programming & analytical skills
• Experience in dynamic programming language Python with Django
• Good understanding on enterprise integration, API development, and scalability
• Experience in Software Tools like: Git, Visual Studio code, Jenkins
• Solid experience in System Integration cycles, e.g., code review, source control, code
• quality
• automation scanning, bug scrub, feature testing and product release.
• Able to handle oncall support for bugs caused from delivery
• We are looking for people to co-work with us at our base location (Chennai)
• Ability to co-work with internal teams to optimise and fine tune the integration process
• and move towards a low-code integration framework

Desired Candidate Profile

• java 8+
• springcore 
• springboot
• MongoDB
• Angular
• Agile

• Responsible for design, develop, and implement new ideas and products from scratch.
• You will be interfacing with the server-side engineering team to scale out our apps across thousands of users.
• You will be involved in all aspects of development playing a critical role in the design, planning, development, and submission of our iOS apps.
• Manage and deliver across the entire app life cycle, design, build, deploy, test, release to app stores, and support.
• Working directly with developers and product managers to conceptualize, build, test, and realize products/features.
• Optimizing performance for the app and keeping it up to date with the latest industry standards.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

QUALIFICATION:

• Good understanding of Swift, Cocoa framework, Core Data, AutoLayout, UIKit, Xcode & iOS applications.
• Proven hands on experience working with table views, scroll views, delegates, notifications, NS operations, GCD.
• Extensive mobile development experience with iOS Proficiency in Swift.
• More than one application developed end to end for iPhone.
• Experience in writing unit and functional tests.
• Experience in usage of Instruments to detect memory leaks and for performance optimisation.
• Solid understanding of memory management with and without ARC.
• Knowledge of iOS networking and Multithreading.
• Strong sense of good Application UI Design.
• In depth understanding of Apple recommended guidelines and best practices for coding.
• Knowledge of software development best practices including continuous integration, development of high quality code, reusable toolkits and libraries.
• Understanding of prevailing architecture/technology concept.
• Knowledge about Git.
• Able to fit in well within an informal environment.
• High energy level and untiring commitment to drive oneself & the team towards goals.