4 Ml Techniques Jobs

As a Senior Cloud AI/ML Architect, you will be responsible for collaborating with AWS Account Managers, solutions architects, and customers to define and scope AI/ML use cases. Your role will involve understanding customer business problems and assisting in implementing AI solutions, including generative AI. You will also be required to develop and deliver compelling technical demonstrations for business and technical leaders, design and architect state-of-the-art AI/ML solutions, and extract and share best practices, reference architectures, and patterns for reuse within the company. Additionally, you will prototype and validate innovative AI solutions across diverse industry verticals. About the Team: You will be part of a cross-functional team at Aivar that helps AWS customers accelerate the use of AI/ML, Generative AI, and realize transformational business opportunities. The team comprises ML scientists, engineers, architects, and strategists who work with customers step-by-step to build bespoke solutions. Preferred Technical Qualifications: - 10+ years of design, implementation, or consulting experience in applications and infrastructure - Experience using managed AI/ML services and solutions - Strong knowledge of Serverless, Analytics, Database, and AI/ML AWS services - Strong experience in applying machine learning models for business application - Strong programming skills in Python, TypeScript, Java, or related language - Strong understanding of AI/ML frameworks - Demonstrated track record of learning emerging AI/ML and Generative AI technologies - Experience working across varied business environments - Experience conveying complex subject matter to customers and stakeholders in written and verbal formats - Deep understanding of generative AI technologies and large language models - Portfolio showcasing innovative AI/ML solutions Preferred Soft Skills: - Collaboration Skills: Ability to work effectively with diverse teams - Exceptional Communication: Skilled at conveying complex AI/ML concepts to technical and non-technical stakeholders - Innovative Problem-Solving: Ability to tackle unique challenges with innovative AI/ML solutions - Adaptability and Continuous Learning: Capacity to learn and apply emerging AI/ML technologies - Leadership and Mentorship: Experience mentoring team members and fostering a culture of innovation and excellence Certifications: - AWS Certified Solutions Architect Associate - AWS Certified Solutions Architect Professional - AWS Certified Developer Associate (optional) - AWS Certified Machine Learning Specialty - AWS Certified Data Analytics Specialty - AWS Certified AI Practitioner (optional but valuable) - AWS Certified Database Specialty (optional but valuable) - AWS Certified Security Specialty (optional but valuable) This is a full-time position with benefits including health insurance and paid sick time. The work location is in person.,

Join us as a Data Scientist and embark on an exciting journey of discovery, insights, and innovation in the data science space. You will work at the intersection of analytics and engineering to uncover valuable insights hidden within our data. With an abundance of data at your fingertips and cutting-edge capabilities to test and learn, you can expect to develop your technical expertise and make a meaningful impact through your work. If you have the desire and tenacity to embark on a steep learning curve in this exciting and rapidly evolving field, apply now. This role is offered at the associate vice president level. As a Data Scientist, you will combine human insight and perspective with modern data science tools to gain an unparalleled understanding of our customers, enabling more powerful predictive targeting and modeling. You will work closely with stakeholders to understand their needs, define pain points, and identify opportunities to solve them through advanced analytics. Your responsibilities will include developing hypotheses, articulating data collection needs, determining analyses to run, and selecting approaches that deliver the most value. You will utilize predictive analytics and artificial intelligence (AI) to extract insights from big data, including machine learning (ML) models, natural language processing (NLP), and deep learning (DL). Additionally, you will build, train, and monitor ML models, as well as write programs that automate data collection, processing, model building, and deployment. Your role will involve bringing solutions and opportunities to life by clearly conveying results" meaning through impactful data visualization and storytelling. You will provide actionable insights to decision-makers and stakeholders at every level of technical understanding. To excel in this role, you should have a minimum of eight years of experience, an aptitude for advanced mathematics and statistics, and curiosity about the evolving role of data in shaping the next generation of financial services. You will demonstrate proficiency in Python, Pyspark, or SQL programming skills, as well as experience with AWS, Azure, or Google Cloud. Knowledge of statistical modeling and ML techniques, along with proficiency in data visualization, is essential. If you do not have a university degree, but believe you are the best fit for this position and can showcase your abilities in your application, we encourage you to apply.,

At Lilly, you are part of a global healthcare leader that is committed to uniting caring with discovery to enhance the lives of people worldwide. With our headquarters in Indianapolis, Indiana, our dedicated team of 39,000 employees collaborates to discover and deliver life-changing medicines, enhance disease understanding and management, and contribute to our communities through philanthropy and volunteerism. Our focus is on making a positive impact on people's lives around the world. As part of our ongoing efforts, we are in the process of developing and internalizing a cutting-edge recommendation engine platform. This platform aims to streamline sales and marketing operations by analyzing diverse data sources, implementing advanced personalization models, and seamlessly integrating with other Lilly operations platforms. The goal is to provide tailored recommendations to our sales and marketing teams at the individual doctor level, enabling informed decision-making and enhancing customer experience. Responsibilities: - Utilize deep learning models to optimize Omnichannel Promotional Sequences for sales teams - Analyze large datasets to identify trends and relevant information for modeling decisions - Translate business problems into statistical problem statements and propose solution approaches - Collaborate with stakeholders to effectively communicate analysis findings - Preference for familiarity with pharmaceutical datasets and industry - Experience in code refactoring, model training, deployment, testing, and monitoring for drift - Optimize model hyperparameters and adapt to new ML techniques for business problem-solving Qualifications: - Bachelor's degree in Computer Science, Statistics, or related field (preferred) - 2-6 years of hands-on experience with data analysis, coding, and result interpretation - Proficiency in coding languages like SQL or Python - Prior experience with ML techniques for recommendation engine models in healthcare sectors - Expertise in Feature Engineering, Selection, and Model Validation on Big Data - Familiarity with cloud technology, particularly AWS, and tools like Tableau and Power BI At Lilly, we are committed to promoting workplace diversity and providing equal opportunities for all individuals, including those with disabilities. If you require accommodation during the application process, please complete the accommodation request form on our website. Join us at Lilly and be part of a team dedicated to making a difference in the lives of people worldwide.,

As an LLVM Compiler Intern at NVIDIA, you will have the exciting opportunity to work within our GPU Software organization. Join our Compiler team, responsible for constructing and emitting high-performance GPU machine instructions for Graphics and Compute applications. This team consists of leading compiler engineering experts who drive cutting-edge performance and capabilities for NVIDIA's current and future parallel SIMT architectures. Your responsibilities will include understanding, modifying, and enhancing NVIDIA's proprietary GPU compiler and assembler, which are written in C++. You will design and implement new compiler passes and optimizations to deliver top-notch, reliable, and maintainable compiler tools. Collaborate with global compiler, hardware, and application teams to drive enhancements and address challenges. Be an integral part of a team that focuses on deep-learning compiler technology, covering architecture design and functional languages. To excel in this role, you should be pursuing a B.S. or higher degree in Computer Science/Engineering with excellent hands-on C++ programming skills. A strong background in software engineering principles is essential, emphasizing the development of robust and maintainable solutions for complex problems. Effective communication, documentation skills, and self-motivation are key attributes for success. For those looking to stand out, a Masters or PhD with compiler code generation experience is preferred. Additional qualifications include experience in CUDA, DirectX, OpenGL/Vulkan applications, proficiency in performance and compile time analysis tools, and exposure to various machine learning techniques. Join NVIDIA, a renowned AI computing company known for pioneering GPU technology that has revolutionized modern computer graphics and parallel computing. If you are a creative and autonomous individual, we invite you to be part of our innovative team and contribute to shaping the future of technology with us.,