AI/ML Engineer Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Keeping abreast of developments in machine learning. AI/ML Engineer Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+yrs of experience as an AI/ML Engineer Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc.. Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills.
Responsibilities Administer and manage cloud-based infrastructure services, including compute, storage, network, and security components. Implement and maintain cloud security best practices, including managing IAM roles, security groups, and ensuring data protection. Monitor system performance, troubleshoot issues, and ensure efficient operation of cloud infrastructure. Collaborate with development teams to automate and streamline operations and processes for deploying and managing applications in the cloud. Perform regular backup operations and implement appropriate processes for data protection, disaster recovery, and fail over procedures. Stay current with industry trends, make recommendations for improvements, and participate in the planning and implementation of new cloud technologies. Provide technical support and guidance to team members and stakeholders regarding cloud infrastructure and related technologies. Qualifications 6+ years of experience in system administration, with a very strong focus on at least one (preferably two) of cloud environments - AWS, Azure, and Google Cloud Platform. 4+ years of hands-on experience in setting up Linux (Ubuntu) based server environments, including Apache, MySQL, and OpenVPN. Strong understanding of cloud services, networking concepts, and cloud security principles. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Proficiency in scripting languages (e.g., Bash, Python) for the automation of tasks and operations. Advanced experience with Docker, including containerization of applications, managing Docker images, and orchestrating containers using Kubernetes or similar technologies to enhance deployment processes and environment consistency. Excellent problem-solving skills, with the ability to diagnose and resolve complex technical issues. Strong communication and collaboration skills, with the ability to work effectively internally as well as with customers. Experience setting up VMware and integrating SSO systems such as ADFS, Okta, SAML is a plus. Proficient in using software configuration management tools such as Puppet for automating server setup and management. Strong experience with version control systems, particularly GitHub, to manage code changes and collaboration.
Develop, implement, and maintain comprehensive test strategies, test plans, and test cases for mobile applications (iOS and Android). Oversee all aspects of quality assurance including establishing metrics, applying best practices, and developing new tools and processes to ensure quality goals are met. Work closely with product management, development, and design teams to understand requirements, provide feedback, and ensure alignment on deliverables. Ensure the delivery of high-quality mobile applications by conducting functional, regression, performance, and usability testing. Manage and coordinate test activities throughout the software development lifecycle, including planning, execution, and defect tracking. Collaborate with automation engineers to identify areas for automation and support the development of automated test scripts. Monitor and report on QA metrics, such as defect densities and open defect counts, and drive improvement initiatives based on data insights. Stay up-to-date with industry trends and technologies in mobile testing to continuously improve QA processes.
We are looking for a highly skilled AI/ML Engineer with 2 to 7 years of experience to join our team in Pune. The ideal candidate will have a strong background in software product development and proficiency in AI/ML technologies. Roles and Responsibility Design, develop, and deploy machine learning models using various algorithms and techniques. Collaborate with cross-functional teams to identify business problems and develop solutions. Develop and maintain large-scale data pipelines and architectures. Conduct research and stay updated on the latest trends and advancements in AI/ML. Work closely with stakeholders to understand requirements and deliver high-quality results. Participate in code reviews and contribute to improving overall code quality. Job Requirements Strong foundation in computer science, mathematics, and statistics. Proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of database systems and data processing tools. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment.
Looking for a skilled Senior AIML Engineer to join our team in Pune. We have two positions available for this role. Roles and Responsibility Design, develop, and implement AI and machine learning models using AIML. Collaborate with cross-functional teams to integrate AI and machine learning solutions into existing systems. Develop and maintain large-scale data pipelines and architectures. Troubleshoot and resolve complex technical issues related to AI and machine learning. Stay updated with industry trends and advancements in AI and machine learning. Participate in code reviews and contribute to the improvement of the overall codebase quality. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++. Experience with deep learning frameworks like TensorFlow or PyTorch. Knowledge of computer vision, natural language processing, or reinforcement learning concepts. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills.
AI/ML Engineer Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes. Keeping abreast of developments in machine learning. AI/ML Engineer Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+yrs of experience as an AI/ML Engineer Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc.. Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills.