5 Aiml Solutions Jobs

You will be responsible for assisting in building and validating machine learning models as well as performing data cleaning, transformation, and feature engineering. Additionally, you will conduct exploratory data analysis using Python or R, support model tuning, performance tracking, and documentation. Collaboration with the team to apply AI/ML solutions to business use cases will be a key part of your role. You will also prepare clear reports and visualizations to present findings effectively. Applexus is a global technology leader that offers business consulting and SAP services to customers in the retail, fashion, and consumer products industries. Established in 2005, Applexus prioritizes customer satisfaction by developing technology solutions that facilitate business transformation. Headquartered in Seattle, Washington, Applexus operates across various centers in North America (Seattle & Canada), the United Kingdom, and India (Trivandrum & Chennai). The company is dedicated to making a positive impact by serving communities worldwide.,

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing AI/ML solutions, focusing on Generative AI and Natural Language Processing applications. Your primary tasks will include building and deploying intelligent Chatbot applications using advanced NLP techniques. You will write clean, efficient, and maintainable code in Python for core AI/ML development. Integration of AI/ML models and applications with cloud services, particularly gaining practical exposure to AWS, will be a crucial aspect of your role. Working with and integrating AI/ML solutions with the Veeva Vault platform is mandatory for this position. You will need to apply AI/ML and Generative AI techniques to address complex problems within the life sciences & healthcare domains. Collaboration with cross-functional teams to define requirements, design system architecture, and deliver cutting-edge AI-driven products is essential. Your involvement in the entire machine learning lifecycle, from data exploration and model development to deployment and monitoring, will be significant. It is imperative to stay updated with the latest advancements in AI, ML, NLP, and Generative AI technologies. Troubleshooting and optimizing AI/ML models and integration points for performance and scalability will also be part of your responsibilities. For this role, we are looking for candidates with 3-5 years of relevant experience in AIML engineering. Deep knowledge of Natural Language Processing (NLP) and Generative AI models is required. Strong proficiency in Python programming, proven experience in chatbot development, and practical exposure to AWS or other major cloud services are essential qualifications. Solid working knowledge of Veeva Vault is mandatory. A problem-solving mindset with the ability to innovate and a collaborative team player are traits that we value in potential candidates.,

The company's beliefs serve as the guiding principles driving the daily operations, centered around core values of Inclusion, Innovation, Collaboration, and Wellness. These values underscore the importance of working collaboratively as a global team, prioritizing customers, self-care, interpersonal relationships, and community involvement. As a key member of the team, your role will focus on spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to address intricate challenges. Working closely with data scientists, software engineers, and product teams, you will leverage innovative AI/ML solutions to enhance services. Your responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to generate valuable business insights and enhance customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives at the organizational level. - Lead the development and optimization of advanced machine learning models. - Supervise the preprocessing and analysis of extensive datasets. - Implement and uphold ML solutions in live production environments. - Collaborate with cross-functional teams to integrate ML models into products and services. - Monitor and assess the performance of deployed models, making necessary refinements. - Provide mentorship and guidance to junior engineers and data scientists. - Publish research outcomes and contribute to industry conversations. - Represent the company at conferences and external events. - Influence the company's AI/ML strategy and contribute to long-term planning. Minimum Qualifications: - A minimum of 18 years of relevant work experience along with a Bachelor's degree or equivalent. - Profound expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Extensive hands-on experience with cloud platforms like AWS, Azure, GCP, and tools for data processing and model deployment. - Recognized as an industry authority with a robust publication history. The company offers a range of benefits that support employee well-being and professional growth. To gain insight into our culture and community, visit https://about.pypl.com/who-we-are/default.aspx If you are interested in joining our Talent Community or have any queries regarding your application, please feel free to reach out. We acknowledge the challenges posed by the confidence gap and imposter syndrome, and we encourage all candidates to apply without hesitation.,

The ideal candidate for this position should have a Bachelor's degree in Computer Science, Engineering, Business, or a related technical field, or possess equivalent practical experience. You should have at least 15 years of experience in technology, product management, consulting, or a related field, with a specific focus on AI/ML solutions. Additionally, a minimum of 7 years of experience in a senior leadership role managing teams of 20 or more individuals is required, with a strong emphasis on AI strategy, solution development, or product delivery. Prior experience in engaging with senior stakeholders, including executive-level decision-makers, is essential. You should also have a proven track record in defining and executing AI strategies, as well as transforming prototypes into successful products. Having a Master's degree or PhD in a relevant technical field, such as AI, Machine Learning, or Data Science, would be considered a significant advantage. It is preferred that you possess experience with Agentic AI principles and applications, particularly in an enterprise context. A deep passion for and existing knowledge of the latest advancements in AI, especially in the realm of Enterprise AI, is highly desirable. An in-depth understanding of HR operations, processes, and various product areas is crucial for this role. The ability to effectively manage complex organizational changes and successfully navigate obstacles to the adoption of new technology solutions is also necessary. The ideal candidate will demonstrate creativity and foresight in envisioning how these technological advancements can revolutionize HR functions, HR personas, and critical HR journeys that enhance the overall experience, drive efficiency, and promote effectiveness for employees at Google.,

You should have a Bachelor's degree in Computer Science, Engineering, Business, or a related technical field, or equivalent practical experience. Along with that, a minimum of 15 years of experience in technology, product management, consulting, or a related field is required, with a specific focus on AI/ML solutions. Additionally, you should possess at least 7 years of experience in a senior leadership role managing teams of 20 or more individuals, with a primary emphasis on AI strategy, solution development, or product delivery. Your role will involve engaging with senior stakeholders, including executive-level decision-makers. It is also crucial to have experience in defining and implementing an AI strategy and converting prototypes into fully developed products. Moreover, possessing a Master's degree or PhD in a relevant technical field such as AI, Machine Learning, or Data Science is preferred. You should also have experience with Agentic AI principles and applications, particularly in an enterprise setting. A deep interest and existing knowledge of the latest advancements in AI, particularly in Enterprise AI, is highly valued. Furthermore, a profound understanding of HR operations, processes, and product areas is essential for this role. You should have the ability to effectively manage complex organizational changes and address obstacles hindering the adoption of new technology solutions. An innovative mindset and a vision for how advancements in AI can impact HR functions, HR personas, and HR critical journeys that enhance the experience, efficiency, and effectiveness for employees at Google are highly desirable.,