The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have an ability to test code in order to maintain high-quality code. Responsibilities Design, code, test and manage various applications. Collaborate with engineering team and product team to establish best products. Follow outlined standards of quality related to code and systems. Develop automated tests and conduct performance tuning. Required Qualifications 4 to 6 years of hands-on web application development experience. Proven expertise in .NET technologies, especially ASP.NET Core, MVC, and C#. Strong experience with MS SQL Server, including writing and optimizing queries. Solid front-end development skills with JavaScript and CSS. Experience with developing and integrating RESTful APIs / Web Services. Proficient with Git and source code management workflows. Exposure to cloud platforms such as Azure or AWS. Familiarity with CI/CD pipelines and DevOps practices. Experience across the full software development life cycle (SDLC). Strong communication skills and the ability to collaborate in a diverse team environment. Bachelor's degree in Computer Science, Information Technology, or a related field (BE/B.Tech/M.Tech/MCA/BCA). Prior experience working in an Agile/Scrum environment. (ref:hirist.tech)

Description We're expanding our team and looking for a Mid-Level Machine Learning Engineer to play crucial roles in developing our custom Large Language Models (LLMs) and optimizing their performance for legal research applications. These positions offer a unique opportunity to contribute to our innovative project's AI backend and React-based frontend. Responsibilities Mid-Level Machine Learning Engineer : Lead the design, implementation, and maintenance of machine learning models, focusing on NLP and LLMs for legal applications. Enhance model training processes, data pipelines, and performance optimization for scalability. Collaborate with front-end developers to integrate AI functionalities into our React UI, ensuring a seamless user experience. Conduct rigorous testing and performance evaluations to inform continuous Mid-Level Engineer : Bachelor's or Master's in Computer Science, AI, Machine Learning (ML), or related field. Strong understanding of ML and neural network(NN) concepts. Should be able to train, validate, and test NN models. Proficiency in Python, ML frameworks (e.g., Tensor Flow, PyTorch), and ML ops. (ref:hirist.tech)

You will be a Mid-Level Machine Learning Engineer responsible for leading the design, implementation, and maintenance of machine learning models, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Additionally, you will collaborate with front-end developers to integrate AI functionalities into our React UI, aiming to provide a seamless user experience. Rigorous testing and performance evaluations will also be part of your responsibilities. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is essential, along with the ability to train, validate, and test NN models. Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops is also required. Join our team and be a key player in the development of custom Large Language Models (LLMs) for legal research applications, and contribute to our innovative project's AI backend and React-based frontend.,

You will be joining our team in Hyderabad, Telangana as a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer for developing custom Large Language Models (LLMs) and optimizing their performance for legal research applications. These positions provide a unique opportunity to contribute to our innovative project's AI backend and React-based frontend. As a Mid-Level Machine Learning Engineer, your responsibilities will include leading the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications. You will enhance model training processes, data pipelines, and performance optimization for scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI will be crucial to ensure a seamless user experience. Additionally, you will conduct rigorous testing and performance evaluations to drive continuous improvement. As a Junior Machine Learning Engineer, you will be supporting the development and maintenance of machine learning models and data processing tasks. Your role will involve assisting in the integration of AI technologies into our React-based front-end, working closely with senior engineers. Active participation in ongoing learning and team collaboration is essential to stay at the forefront of AI research and development. For the Mid-Level Engineer position, we require a Bachelor's or Master's degree in Computer Science, AI, Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is necessary, along with proficiency in Python, ML frameworks such as Tensor Flow and PyTorch, and ML ops. For the Junior Engineer position, a Bachelor's degree in a relevant field is required. Candidates should have at least 1 year of machine learning experience or related internships, basic knowledge of Python and machine learning frameworks, and an interest in learning and contributing to React UI development. In addition to specific qualifications, we seek individuals with strong analytical, problem-solving, and communication skills. The ability to work effectively in a fast-paced, collaborative environment is crucial. A passion for innovation and continuous learning in AI and legal tech is highly valued in our team.,