AI / ML Engineer

Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing to enhance functionality and performance. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate workshops and meetings to gather requirements and feedback from stakeholders. - Develop and maintain documentation related to integration processes and solutions. - Automate complex tasks and workflows across infrastructure management, data processing, application deployments, and IT operations. - Identify process improvement opportunities and implement optimizations. - Utilize RPA solutions where applicable. - Design and implement efficient data pipelines for machine learning models. - Leverage AI/ML techniques (NLP, ML algorithms, data analysis) to create intelligent automation solutions - Perform regular maintenance (patching, upgrades, configuration changes) of security solutions. - Build and implement on-premises and cloud-based security solutions using SaaS, IaaS, and orchestration tools. - Implement robust monitoring and logging solutions. - Report on security status, incidents, and improvements to management. - Develop and maintain APIs and microservices for automation workflows. - Stay abreast of cybersecurity trends, vulnerabilities, and attack vectors. - Proactively propose enhancements to security controls. - Provide exceptional support to internal and external users. - Conduct regular security assessments and vulnerability scans. Professional & Technical Skills: - Must Have Skills: Proficiency in Artificial Intelligence & Machine Learning Operations, Python and PowerShell, including experience with automation scripts and frameworks. - Solid understanding of AI/ML concepts and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Proficiency in data manipulation and analysis using Pandas and NumPy. - Knowledge of version control systems (e.g., Git) and CI/CD pipelines. - Hands-on experience with orchestration tools (e.g., Ansible, Puppet). - Strong understanding of integration frameworks and methodologies. - Experience with cloud-based solutions and deployment strategies. - Familiarity with data management and data governance practices. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Hyderabad office. - A 15 years full time education is required.