Simplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months saving them hundreds of thousands of dollars in engineering costs. Our platform lets an amateur as well as an expert train and monitor ML models collaboratively on almost any kind of data or use-case. The user just needs to upload the dataset and select which value(s) they want to predict to train the model.

Company OverviewSimplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months saving them hundreds of thousands of dollars in engineering costs. Our platform lets an amateur as well as an expert train and monitor ML models collaboratively on almost any kind of data or use-case. Simplismart is headquartered in Bengaluru and belongs to the Technology, Information and Internet industry. Job OverviewSimplismart is seeking a Mid-Level Frontend Engineer to join our dynamic team in Bangalore. This is a full-time position where you will be responsible for delivering high-quality front-end code within a collaborative engineering environment. Candidates should have up to a maximum of 6 years of work experience in frontend development. Qualifications and Skills<ul><li>Proficiency in JavaScript (Mandatory skill)</li><li>Experience with React (Mandatory skill)</li><li>Knowledge of Next.js (Mandatory skill)</li><li>Solid understanding of HTML and its best practices</li><li>Expertise in CSS, including Flexbox and Grid layout techniques</li><li>Familiarity with Vue.js framework</li><li>Ability to translate UI/UX design wireframes into high-quality code</li><li>Experience with RESTful services and APIs</li></ul> Roles and Responsibilities<ul><li>Develop and maintain user-facing features for our core platform using React and Next.js</li><li>Ensure the technical feasibility of UI/UX designs</li><li>Collaborate with backend developers and lead UI designers to improve usability</li><li>Build reusable code and libraries for future use</li><li>Optimize application for maximum speed and scalability</li><li>Participate in code reviews and contribute to continuous improvement of code quality</li><li>Troubleshoot and debug issues in a timely manner</li><li>Stay up-to-date with the latest trends and technologies in frontend development</li></ul>

Company OverviewSimplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months, saving them hundreds of thousands of dollars in engineering costs. Our platform lets both amateurs and experts train and monitor ML models collaboratively on almost any kind of data or use-case. Simplismart is headquartered in Bengaluru and operates in the Technology, Information and Internet industry. Job OverviewSimplismart is seeking a Solutions Engineer to join our team in Bangalore on a full-time basis. The ideal candidate will possess 1 to 3 years of work experience in related fields. The role involves system integration, solution architecture, machine learning, and hands-on software development to help our clients achieve their goals using our state-of-the-art AI platform. Qualifications and Skills<ul><li>Experience with system integration (Mandatory skill)</li><li>Expertise in solution architecture (Mandatory skill)</li><li>Strong understanding of machine learning processes (Mandatory skill)</li><li>Proficiency in technical problem solving with ability to deliver innovative solutions</li><li>Excellent customer communication skills to liaise with clients effectively</li><li>Hands-on experience in software development</li><li>Familiarity with generative AI techniques and applications</li><li>Ability to work collaboratively in a fast-paced, team-oriented environment</li></ul> Roles and Responsibilities<ul><li>Work closely with clients to understand their requirements and provide tailored AI solutions using Simplismart's platform</li><li>Integrate various systems and datasets into our AI platform to enable smooth operation and high performance</li><li>Architect and deploy solution frameworks that meet clients' needs and industry best practices</li><li>Train and monitor machine learning models to ensure accuracy, efficiency, and reliability</li><li>Provide technical support and problem-solving assistance to clients throughout their lifecycle with our platform</li><li>Collaborate with internal teams to refine and enhance software development processes</li><li>Keep abreast of the latest developments in AI and machine learning to apply cutting-edge techniques in your solutions</li><li>Participate in client and team meetings to ensure projects are on track and deliverables meet high standards of quality</li></ul>

Company OverviewSimplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months, saving them thousands in engineering costs. Our platform allows users to train and monitor ML models collaboratively on any data or use-case. Headquartered in Bengaluru, we belong to the Technology, Information, and Internet industry. Job OverviewWe are looking for a Mid-Level ML Research Engineer to join our team in Bangalore. The ideal candidate should have up to 6 years of work experience and a deep understanding of generative AI, CUDA, and research. This is a full-time position where you will be part of a vibrant team focused on innovative machine learning solutions. Qualifications and Skills<ul><li>Strong expertise in Generative AI (Mandatory skill)</li><li>Proficiency with CUDA for GPU programming and performance optimization (Mandatory skill)</li><li>Prior experience in conducting and publishing research (Mandatory skill)</li><li>In-depth knowledge of various machine learning algorithms and their applications</li><li>Experience with large language models (LLM), such as GPT-3 and beyond</li><li>Skills in working with whisper and Stable Diffusion techniques</li><li>Proficiency in deploying and managing machine learning models using Kubernetes</li><li>Strong analytical and problem-solving abilities</li></ul> Roles and Responsibilities<ul><li>Design, develop, and deploy machine learning models tailored to various business needs</li><li>Conduct cutting-edge research to enhance our machine learning algorithms and systems</li><li>Collaborate with cross-functional teams to integrate ML models into the platform</li><li>Optimize models for performance and scalability using tools like CUDA</li><li>Stay up-to-date with the latest advancements in machine learning and AI technology</li><li>Implement and manage Kubernetes clusters for efficient model deployment</li><li>Provide mentorship to junior engineers and contribute to a collaborative work environment</li><li>Prepare technical documentation and research papers for internal and external dissemination</li></ul>

Company OverviewSimplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. This helps them ship deep learning models in days instead of months, saving them hundreds of thousands of dollars in engineering costs. Our platform allows both amateurs and experts to train and monitor ML models collaboratively on almost any kind of data or use-case. Headquartered in Bengaluru, Simplismart is a growing company in the Technology, Information, and Internet industry. Job OverviewWe are looking for a Junior Machine Learning Support Engineer to join our team in Bangalore. This is a full-time position requiring 1 to 3 years of relevant work experience. The ideal candidate will be responsible for providing technical support for our machine learning solutions, ensuring our clients can effectively use our platform to its full potential. Qualifications and Skills<ul><li>Proficiency in Machine Learning Algorithms (Mandatory skill)</li><li>Expertise in Python Programming (Mandatory skill)</li><li>Experience in providing Technical Support (Mandatory skill)</li><li>Strong communication skills, both written and verbal, to effectively interact with clients and team members</li><li>Excellent troubleshooting skills to diagnose and resolve technical issues</li><li>Solid customer service skills to ensure client satisfaction and maintain relationships</li><li>Ability to work collaboratively in a team environment</li><li>Detail-oriented and highly organized to manage multiple tasks and priorities</li></ul> Roles and Responsibilities<ul><li>Provide technical support to clients using the Simplismart platform</li><li>Assist clients in training and deploying machine learning models</li><li>Diagnose and resolve technical issues related to machine learning algorithms and Python programming</li><li>Collaborate with the development team to enhance platform features based on client feedback</li><li>Create and maintain comprehensive documentation for technical support processes</li><li>Monitor and ensure the performance and accuracy of deployed machine learning models</li><li>Conduct regular follow-ups with clients to ensure their satisfaction and address any ongoing issues</li><li>Participate in training sessions to improve product knowledge and support skills</li></ul>

Company OverviewSimplismart enables businesses to build a scalable production-grade AI system and manage the development lifecycle without writing a single line of code. Our platform allows users, from amateurs to experts, to train and monitor ML models collaboratively on almost any kind of data or use-case. By simplifying the deployment of deep learning models, we help businesses save time and reduce engineering costs significantly. Simplismart is based in Bengaluru and belongs to the Technology, Information, and Internet industry. For more information, visit <a href="https://simplismart.ai" rel="noopener noreferrer" target="_blank">https://simplismart.ai</a>. Job OverviewSimplismart is seeking a Mid-Level Machine Learning Engineer to join our team in Bangalore. This full-time role involves developing and optimizing machine learning models and their deployment. The ideal candidate should have a maximum of 6 years of relevant work experience and be proficient in both developing machine learning algorithms and managing MLOps practices. Qualifications and Skills<ul><li>Proficient in Machine Learning (Mandatory skill) with a strong understanding of various ML algorithms and techniques.</li><li>Strong programming skills in Python (Mandatory skill) with experience in libraries such as TensorFlow, PyTorch, or Scikit-Learn.</li><li>Hands-on experience with MLOps (Mandatory skill) to streamline the deployment and monitoring of ML models.</li><li>Proficiency in C++ for performance-focused development and implementing complex algorithms.</li><li>Knowledge of CUDA for optimizing model training on GPUs and improving computational efficiency.</li><li>Experience with Large Language Models (LLM) and their application in natural language processing tasks.</li><li>Understanding of Large Language Model Operations (LLMOps) for maintaining and scaling LLM applications.</li><li>Familiarity with Kubernetes for container orchestration and managing deployed ML models in a cloud environment.</li></ul> Roles and Responsibilities<ul><li>Develop and fine-tune machine learning models to meet the specific needs of various business use-cases.</li><li>Collaborate with cross-functional teams to integrate ML models into production environments.</li><li>Implement MLOps practices to automate the deployment, monitoring, and management of ML models.</li><li>Optimize ML models using CUDA to enhance training speed and computational efficiency.</li><li>Maintain and update large language models (LLMs) to ensure they perform effectively in real-world applications.</li><li>Utilize Kubernetes for managing containerized applications and scaling ML models in a cloud environment.</li><li>Ensure all ML models adhere to best practices and guidelines for production-grade software development.</li><li>Stay updated with the latest advancements in machine learning, MLOps, and related technologies.</li></ul>