Overview: We are seeking an experienced Cloud Architect with over 2 years of experience to lead the design and implementation of our cloud infrastructure, specifically tailored for our advanced AI and machine learning initiatives. You will be the architect of a robust, scalable, and secure cloud environment that serves as the foundation for our AI-powered products. Your expertise will be crucial in building a cost-effective and high-performance infrastructure that supports the entire AI/ML lifecycle, from data processing and model training to large-scale inference. Responsibilities: AI Infrastructure Design: Architect and implement scalable, resilient, and secure cloud solutions on AWS, designed to support high-throughput AI workloads. Technology Integration: Design and integrate a wide array of services and technologies, including FastAPI for APIs, Kafka for real-time data streaming, and various databases like PostgreSQL, Redis, and Pinecone, into a cohesive and efficient cloud architecture. Scalability and Performance: Ensure the cloud infrastructure is optimized for both ML training and real-time inference, leveraging containerization with Docker and orchestration with Kubernetes (EKS) for maximum scalability and performance. Cost Optimization: Implement strategies and best practices for managing and optimizing cloud resource usage to ensure a cost-effective infrastructure without compromising performance. High Availability and Disaster Recovery: Design and implement robust strategies for high availability, fault tolerance, and disaster recovery to ensure the continuous operation of our critical AI systems. Collaboration and Governance: Work closely with our DevOps and AI engineering teams to guide and support deployments, establish best practices for cloud usage, and ensure compliance with security and governance standards. Innovation and Research: Stay at the forefront of cloud and AI technologies, continuously evaluating and adopting new services and architectural patterns to enhance our capabilities. Requirements: 2+ years of dedicated experience in a cloud architecture or senior cloud engineering role. Deep expertise in a broad range of AWS services, including but not limited to EC2, S3, Lambda, and EKS. Strong hands-on experience with containerization (Docker) and container orchestration (Kubernetes). A thorough understanding of cloud networking, security principles, and compliance best practices. Excellent system design and technical documentation skills. A collaborative spirit and the ability to work effectively with cross-functional teams. Preferred Qualifications: Hands-on experience with cloud-native AI/ML services such as Amazon SageMaker or Vertex AI. Familiarity with modern programming languages like Rust or Elixir for cloud tooling and automation. Experience in designing and managing hybrid or multi-cloud environments. Professional certifications, such as the AWS Certified Solutions Architect. Job Type: Contractual / Temporary Pay: ₹1,200,000.00 - ₹1,320,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview Experience: Cloud architecture: 2 years (Required) Work Location: In person
Overview: We are seeking an experienced Cloud Architect with over 2 years of experience to lead the design and implementation of our cloud infrastructure, specifically tailored for our advanced AI and machine learning initiatives. You will be the architect of a robust, scalable, and secure cloud environment that serves as the foundation for our AI-powered products. Your expertise will be crucial in building a cost-effective and high-performance infrastructure that supports the entire AI/ML lifecycle, from data processing and model training to large-scale inference. Responsibilities: AI Infrastructure Design: Architect and implement scalable, resilient, and secure cloud solutions on AWS, designed to support high-throughput AI workloads. Technology Integration: Design and integrate a wide array of services and technologies, including FastAPI for APIs, Kafka for real-time data streaming, and various databases like PostgreSQL, Redis, and Pinecone, into a cohesive and efficient cloud architecture. Scalability and Performance: Ensure the cloud infrastructure is optimized for both ML training and real-time inference, leveraging containerization with Docker and orchestration with Kubernetes (EKS) for maximum scalability and performance. Cost Optimization: Implement strategies and best practices for managing and optimizing cloud resource usage to ensure a cost-effective infrastructure without compromising performance. High Availability and Disaster Recovery: Design and implement robust strategies for high availability, fault tolerance, and disaster recovery to ensure the continuous operation of our critical AI systems. Collaboration and Governance: Work closely with our DevOps and AI engineering teams to guide and support deployments, establish best practices for cloud usage, and ensure compliance with security and governance standards. Innovation and Research: Stay at the forefront of cloud and AI technologies, continuously evaluating and adopting new services and architectural patterns to enhance our capabilities. Requirements: 2+ years of dedicated experience in a cloud architecture or senior cloud engineering role. Deep expertise in a broad range of AWS services, including but not limited to EC2, S3, Lambda, and EKS. Strong hands-on experience with containerization (Docker) and container orchestration (Kubernetes). A thorough understanding of cloud networking, security principles, and compliance best practices. Excellent system design and technical documentation skills. A collaborative spirit and the ability to work effectively with cross-functional teams. Preferred Qualifications: Hands-on experience with cloud-native AI/ML services such as Amazon SageMaker or Vertex AI. Familiarity with modern programming languages like Rust or Elixir for cloud tooling and automation. Experience in designing and managing hybrid or multi-cloud environments. Professional certifications, such as the AWS Certified Solutions Architect. Job Type: Contractual / Temporary Pay: ₹1,200,000.00 - ₹1,320,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview Experience: Cloud architecture: 2 years (Required) Work Location: In person
Overview: We are looking for an experienced DevOps Engineer with 2+ years of experience to join our innovative AI team. In this role, you will be the bridge between our AI/ML development and IT operations, responsible for building and managing the infrastructure that powers our AI products. You will play a critical part in automating and streamlining the entire machine learning lifecycle, from development to deployment and monitoring. This position requires a strong background in DevOps practices and a keen interest in the unique challenges of deploying and scaling AI and machine learning systems. Responsibilities: CI/CD for AI: Design, implement, and maintain robust CI/CD pipelines for the automated testing, integration, and deployment of our AI applications and machine learning models. Infrastructure as Code (IaC): Use tools like Terraform to define, deploy, and manage our cloud infrastructure on AWS, ensuring a reproducible and scalable environment for our AI workloads. Containerization and Orchestration: Deploy, manage, and scale our AI services and models using Docker and Kubernetes, ensuring high availability and efficient resource utilization. Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track the performance and health of our backend services and AI models in production, enabling quick identification and resolution of issues. Automation: Develop scripts and tools, primarily in Python or Rust, to automate infrastructure management, deployment processes, and other operational tasks. Collaboration: Work closely with our AI/ML engineers and developers to optimize our deployment strategies, improve our DevOps practices, and ensure the reliability and scalability of our AI systems. MLOps: Champion and implement MLOps best practices, including model versioning, automated retraining pipelines, and governance to ensure the reproducibility and reliability of our machine learning models. Requirements: 2+ years of hands-on experience in a DevOps or Site Reliability Engineering (SRE) role. Strong proficiency with containerization and orchestration technologies, specifically Docker and Kubernetes. Proven experience with CI/CD tools such as Jenkins, GitHub Actions, or similar. Solid experience with infrastructure as code (IaC) tools, with a preference for Terraform. Proficiency in Linux and scripting languages, with a strong preference for Python. A solid understanding of monitoring and logging tools and best practices. Excellent troubleshooting and problem-solving skills, with a passion for automation. Strong communication and collaboration skills, with a team-oriented mindset. Preferred Qualifications: Direct experience with the deployment and operationalization of machine learning models (model serving). Familiarity with the operational aspects of data infrastructure, including Kafka, Redis, and PostgreSQL. An interest in or experience with modern programming languages like Rust or Elixir for systems-level tooling. A strong understanding of security best practices as they apply to AI and cloud infrastructure. Job Type: Contractual / Temporary Pay: ₹840,000.00 - ₹960,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview? Experience: CI/CD: 2 years (Required) Work Location: In person
Overview: We are seeking a forward-thinking AI/ML Engineer with 2-3 years of experience to join our pioneering AI team. This role is at the heart of our mission to build next-generation AI products. You will be responsible for the entire lifecycle of machine learning models, from initial design and training to deployment and continuous optimization. We are looking for a candidate who is passionate about leveraging the latest advancements in AI, including deep learning, neural networks, and Large Language Models (LLMs), to solve complex problems and create intelligent, impactful solutions. Responsibilities: Design, develop, and train state-of-the-art machine learning, neural network, and deep learning models using modern frameworks like PyTorch and TensorFlow. Spearhead the fine-tuning of Large Language Models (LLMs) on custom datasets, leveraging techniques for parameter-efficient fine-tuning (PEFT) and tools like Unsloth to optimize for speed and performance. Integrate and deploy your models seamlessly into our production environment, working with backend systems using FastAPI and real-time data streaming with Kafka. Manage and utilize vector databases like Pinecone for efficient storage and retrieval of AI embeddings, crucial for applications such as semantic search and retrieval-augmented generation (RAG). Collaborate with data scientists and other engineers to productionize cutting-edge AI solutions, ensuring they are scalable, reliable, and maintainable. Continuously monitor the performance of deployed models, implementing robust retraining pipelines and MLOps best practices to ensure they remain accurate and effective over time. Uphold ethical AI principles by ensuring model fairness, transparency, and explainability in all our AI products. Actively participate in our research and development efforts to explore and implement new AI features and capabilities. Requirements: 2-3 years of hands-on experience in an AI/ML engineering role. Strong programming skills in Python and a deep understanding of core ML libraries such as scikit-learn, TensorFlow, and PyTorch. Proven experience in data processing and working with various databases, including PostgreSQL and Redis. Familiarity with containerization technologies, particularly Docker, for packaging and deploying ML models. A solid grasp of fundamental machine learning algorithms, as well as experience with the deployment and operationalization of models. Excellent problem-solving and analytical skills, with a creative and innovative mindset. Preferred Qualifications: Experience with high-performance programming languages like Rust or Elixir for optimizing ML components. Familiarity with Kubernetes for orchestrating and scaling AI workloads in a cloud environment. Hands-on experience with real-time data streaming technologies, especially Kafka. Exposure to cloud-based AI services and platforms. A strong interest and passion for staying at the forefront of the rapidly evolving field of artificial intelligence. Job Type: Contractual / Temporary Pay: ₹960,000.00 - ₹1,080,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview Experience: PyTorch: 2 years (Required) Work Location: In person
Overview: We are seeking a talented and experienced Backend Developer to join our cutting-edge AI development team. With 4+ years of experience, you will be instrumental in building and maintaining the robust, scalable, and high-performance backend systems that power our AI-driven products. You will work with a diverse technology stack, including Python, Rust, Go, and Elixir, to handle real-time data processing, model serving, and complex data pipelines. Your expertise in system design and architecture will be critical in shaping the future of our AI infrastructure. Key Responsibilities: Design, develop, and deploy scalable and efficient backend services and APIs using Python – FastAPI, Elixir – Phoenix & Rust – Axum. Architect and implement high-performance, low-latency microservices and system components using Rust, Go, or Elixir for performance-critical applications. Integrate with and manage various databases, including PostgreSQL for structured data and Redis for caching and real-time data storage. Develop and maintain real-time data streaming and processing pipelines using Kafka to support our AI models and applications. Collaborate closely with AI/ML engineers to deploy, serve, and scale machine learning models in a production environment. Implement and manage WebSocket for real-time, bidirectional communication between clients and servers. Design and implement robust system architectures, ensuring the security, scalability, and performance of all backend services. Manage and automate infrastructure on AWS, utilizing best practices for cloud-native development and deployment. Write clean, maintainable, and well-tested code, and contribute to the automation of our CI/CD pipelines. Monitor, troubleshoot, and optimize our backend infrastructure to handle demanding AI workloads. Work with vector databases like Pinecone to support search and other AI-powered features. Operate within a Linux environment and leverage containerization technologies like Docker. Required Qualifications: 4+ years of backend development experience in a professional setting. Strong proficiency in Python and experience with web frameworks, particularly FastAPI. A solid understanding of and experience with statically-typed languages like Rust, Go, or Elixir. Hands-on experience with SQL and NoSQL databases, specifically PostgreSQL and Redis. Proven experience with message queuing systems, especially Kafka. A strong understanding of system design, microservices architecture, and RESTful API design principles. Experience with WebSocket for real-time communication. Proficiency with Linux-based environments and containerization technologies (Docker). Familiarity with cloud platforms, preferably AWS. Knowledge of version control systems (e.g., Git) and CI/CD best practices. A problem-solving mindset and the ability to work effectively in a collaborative team environment. Preferred Qualifications: Experience with performance-critical backend components and a deep understanding of systems programming. Hands-on experience with AI/ML tools and technologies, including vector databases like Pinecone. Familiarity with container orchestration using Kubernetes. Exposure to a variety of programming languages and the ability to choose the right tool for the job. A strong portfolio of projects or open-source contributions. Job Type: Contractual / Temporary Pay: ₹720,000.00 - ₹840,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview Experience: Python: 4 years (Required) Work Location: In person
Overview: We are looking for a skilled Frontend Developer with 4+ ears of experience to join our innovative AI team. In this role, you will be responsible for creating intuitive and responsive user interfaces for our AI-powered applications. You will work closely with our AI/ML engineers to seamlessly integrate cutting-edge AI features and deliver a superior user experience. Key Responsibilities: Design, develop, and maintain high-quality, responsive front-end applications using modern frameworks like React.js or Next.js. Collaborate with AI/ML engineers to integrate AI functionalities such as real-time data streaming, predictive models, and interactive visualizations. Optimize application performance and user experience for our AI-driven products. Integrate with various APIs (RESTful, GraphQL) and manage application state effectively using tools like Redux and TanStack Query. Implement caching strategies to ensure optimal performance and responsiveness. Utilize the Vercel AI SDK to build and enhance AI-native features. Ensure cross-browser compatibility and a seamless experience across all devices. Participate in agile development processes, including code reviews and sprint planning. Troubleshoot and resolve front-end issues to maintain a high-quality user experience. Required Qualifications: 4+ years of professional frontend development experience. Proficiency in TypeScript and modern JavaScript frameworks (React.js, Next.js). Strong experience with state management libraries (Redux, TanStack Query). Solid understanding of and experience with WebSocket, RESTful APIs, and GraphQL. Familiarity with version control systems (e.g., Git) and agile development methodologies. Excellent problem-solving skills and a keen eye for detail. Strong communication and collaboration skills. Preferred Qualifications: Knowledge of UI frameworks like TailwindCSS or Shadcn for rapid prototyping. Familiarity with backend technologies like FastAPI. Exposure to AI-related technologies. Job Type: Contractual / Temporary Pay: ₹660,000.00 - ₹780,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview? Experience: React: 4 years (Required) Work Location: In person
Overview: We are looking for a highly skilled and motivated QA Engineer with over 3 years of experience to join our dynamic AI team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of our AI-powered products. This role requires a deep understanding of both traditional QA methodologies and the unique challenges of testing AI and machine learning systems. You will be instrumental in developing and executing sophisticated testing strategies that cover everything from backend APIs to the intricacies of AI model behaviour, including accuracy, bias, and robustness. Key Responsibilities: Design, develop, and execute comprehensive test plans for our AI-driven applications, covering functional, regression, and performance testing. Create and maintain automated testing frameworks for our backend services (FastAPI) and AI models using tools like PyTest, Selenium, and Postman. Perform rigorous manual and automated testing of AI features, with a strong focus on identifying and documenting defects in a clear and actionable manner. Dive deep into AI model testing, including assessing model accuracy, identifying biases, and exploring edge cases. Engage in "jailbreaking" and other adversarial testing techniques to ensure the robustness and security of our AI models against unexpected or malicious inputs. Implement and utilize observability tools to monitor model performance, data drift, and other key metrics in real-time. Collaborate closely with developers and AI/ML engineers to identify, troubleshoot, and resolve defects in a timely manner. Use load testing tools to simulate and analyse the performance of AI workloads, particularly those involving Kafka and Redis. Ensure all our AI product releases meet the highest quality standards and comply with all relevant regulations. Document all test cases, test results, and quality metrics to provide clear insights into product quality. Required Qualifications: 3+ years of hands-on experience in a quality assurance or testing role. Proven proficiency with automation tools such as Selenium, PyTest, and Postman. Strong experience in testing backend services, APIs, and databases (PostgreSQL, Redis). Solid understanding of CI/CD pipelines and agile testing methodologies. Exceptional analytical and problem-solving skills, with meticulous attention to detail. Job Type: Contractual / Temporary Pay: ₹420,000.00 - ₹540,000.00 per year Ability to commute/relocate: Narhe, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Will you be available for face to face interview? Experience: Quality assurance: 3 years (Required) Work Location: In person