51 Aiml Frameworks Jobs

As an Engagement Lead / Manager for CPG (Consumer Packaged Goods) at Straive, you will play a pivotal role in anchoring analytics engagements within the CPG domain. Your responsibilities will encompass owning client relationships, developing solution strategies, overseeing program delivery, and nurturing analytics accounts with a primary emphasis on commercial analytics such as Trade Promotion Analysis, Revenue Growth Management (RGM), Pricing Optimization, and Promotion Effectiveness. In this leadership position, you will act as a trusted advisor to global CPG clients, leveraging data-driven insights to address complex business challenges and drive value across sales, marketing, and supply chain functions. Your role will involve leading diverse teams comprising data science, engineering, and consulting professionals to deliver scalable AI-led solutions that enhance trade spend efficiency, pricing strategies, and revenue growth drivers. We are looking for an entrepreneurial leader who can spearhead Straive's growth trajectory in CPG analytics by formulating client AI strategies, delivering innovative solutions, and expanding key client relationships. Your responsibilities will include: - Owning a high-visibility growth charter in an innovation-centric environment. - Architecting AI-driven, forward-looking CPG solutions. - Collaborating with global executives to tackle industry complexities. - Thriving in a dynamic, high-autonomy culture that values innovation and performance. Key Responsibilities: - Providing strategic guidance to CPG clients by aligning advanced analytics and AI solutions with evolving business priorities related to Trade Promotion Effectiveness, Revenue Growth Management, Pricing Optimization, and Promotion Analysis. - Leading the end-to-end execution of AI and analytics initiatives, including forecasting, trade optimization, retail execution, and personalization. - Identifying growth opportunities and driving account expansion through innovative solutions, proof of concepts (PoCs), and strategic initiatives. - Mentoring cross-functional teams spanning AI, data engineering, and industry domain specialists. - Driving client adoption through compelling narratives, insight-driven advisory, and change management. Required Qualifications: - Minimum of 12 years of experience in advanced analytics, consulting, or digital transformation within the CPG sector. - Profound domain expertise in CPG commercial analytics, particularly in Trade Promotion Analysis, Revenue Growth Management, Pricing Strategy, and Promotion Effectiveness. - Extensive knowledge across CPG functions such as sales operations, trade marketing, supply chain, and shopper insights. - Proven track record in designing and implementing enterprise-grade AI/analytics solutions. - Demonstrated success in leading large, multi-stakeholder programs with C-level impact. - Proficiency in modern data stacks, visualization tools, and AI/ML frameworks is highly desirable.,

We are seeking an enthusiastic RPA & Intelligent Automation professional to join our newly founded CoE at Booking.com. Your role will involve supporting the rapidly growing portfolio of automation projects and making a significant impact across all business areas. As a valuable member of our team, you will operate with a high degree of autonomy and entrepreneurial spirit, acting as a service provider for the entire company. In this role, you will be responsible for driving efficiencies and seeking accountability both from yourself and others. Collaboration and a sense of comradery are essential qualities we are looking for in our ideal candidate. You should be willing to be cross-functional, continuously learn new skills, and strive for continuous improvement and high quality in your work. A strong work ethic, positive attitude, and a passion for solving real-world problems through technology are key attributes we value. To excel in this position, you should have 2-3 years of experience in developing with Blue Prism and hold a degree in CS, Engineering, or a related field. Blue Prism certification is a mandatory requirement for this role. Proficiency in core Python libraries such as pandas and NumPy, as well as familiarity with AI/ML frameworks like Tensorflow and PyTorch, are highly preferred. Knowledge of NLP techniques like text summarization, sentiment analysis, and Named Entity Recognition would be advantageous. Additionally, experience with AWS components such as RDS, EC2, S3, IAM, CloudWatch, Lambda, Sagemaker, and VPC is beneficial. Familiarity with tools like VAULT, PASSPORT, and Gitlab for UAM/Config Management, as well as exposure to Terraform for deploying AWS services, would be a plus. Professional experience with SQL, .NET, C#, HTTP APIs, and Web Services is required. Previous experience in designing, developing, deploying, and maintaining software, along with working in a scrum/agile environment, is desirable. Excellent communication skills in English are essential for this role. If you are a motivated and skilled professional looking to make a difference in the field of RPA and Intelligent Automation, we encourage you to apply for this exciting opportunity at Booking.com.,

As a Specialist I in ML Engineering at UST, you will be responsible for designing and implementing AI/ML solutions using advanced frameworks and technologies to ensure scalability, efficiency, and alignment with business goals. Your role will involve developing and optimizing various AI models tailored to specific use cases, such as LangChain, CrewAI, GenAI, and NLP models. Additionally, you will build and deploy production-ready systems like RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. You will leverage Azure and GCP services, including Lambda functions in Python, to deliver high-performing AI solutions. Your responsibilities will also include applying advanced prompt engineering techniques, maintaining CI/CD pipelines, working with GitHub for version control, and using Docker effectively for containerization and deployments in cloud environments. Furthermore, you will ensure that solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency, and implement responsible AI practices. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effectively communicating complex technical concepts to both technical and non-technical stakeholders will be essential in this role. Qualifications for this position include 4+ years of hands-on experience with AI/ML frameworks like PyTorch and TensorFlow, expertise in AWS services, demonstrated experience with RAG systems and chatbot development, deep understanding of LangChain components and advanced NLP techniques, strong knowledge of Docker and CI/CD pipelines, familiarity with best practices in system design, and proven ability to write high-quality production code and work in collaborative environments. As part of UST, you will be working in an environment that values humility, humanity, and integrity. UST is an Equal Opportunity Employer that encourages innovation, diversity, inclusion, and places people at the centre of everything they do. Skills required for this position include RAG systems, chatbot development, AI/ML frameworks, and GenAI technologies. About UST: UST is a global digital transformation solutions provider that partners with clients worldwide to make a real impact through transformation. With over 30,000 employees in 30 countries, UST embeds innovation and agility into their clients" organizations, touching billions of lives in the process.,

We are looking for a highly skilled AI Technical Delivery Lead (Associate Director) with expertise in machine learning, generative AI, and hands-on architecture. Your role will involve leading our AI initiatives, providing technical guidance, fostering innovation, and ensuring successful implementation of advanced AI solutions. You will be responsible for designing, developing, and deploying cutting-edge machine learning and generative AI solutions to address business challenges. As the AI Technical Delivery Lead, you will be required to architect robust and scalable AI systems, ensuring adherence to best practices in design, coding, testing, and maintenance. Collaborating with cross-functional teams, you will be translating requirements into scalable AI systems while upholding best practices in design, coding, and maintenance. It will also be essential to stay updated on AI advancements, drive continuous improvement, and mentor team members. Working closely with data scientists, engineers, platform architects/engineering teams, and business stakeholders, you will be tasked with developing scalable, compliant, and high-performance AI applications. These applications will leverage large language models (LLMs), multimodal AI, and AI-driven automation to cater to various business needs. Key Responsibilities: - Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. - Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. - Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications. - Design GenAI solutions leveraging cloud platforms (AWS, Azure) or on-premise infrastructure while ensuring data security and regulatory compliance. - Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. - Ensure GenAI solutions comply with regulatory standards and adhere to responsible AI principles. - Drive efficiency in generative AI models, ensuring cost optimization and scalability. - Work with cross-functional teams to align GenAI initiatives with enterprise and industry-specific requirements. - Stay updated with the latest advancements in GenAI and incorporate emerging technologies into the company's AI strategy. Essential Requirements: - Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. - 10+ years of experience in Big data, AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. - Proficiency in Generative AI, LLMs, multimodal AI, and deep learning for pharma applications. - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). - Knowledge of data engineering, ETL pipelines, big data technologies, cloud AI services, and MLOps & DevOps. Desirable Requirements: - Experience in GenAI applications for medical writing, clinical trials, drug discovery, and regulatory intelligence. - Knowledge of AI explainability, retrieval-augmented generation, knowledge graphs, and synthetic data generation in life sciences. - AI/ML certifications and exposure to biomedical ontologies, semantic AI models, and federated learning. Novartis is committed to diversity and inclusion, creating an inclusive work environment that reflects the patients and communities served. If you require accommodation due to a medical condition or disability, please reach out to us to discuss your needs. Join the Novartis Network to stay connected and explore future career opportunities: [Novartis Talent Network](https://talentnetwork.novartis.com/network),

As a Senior Machine Learning Architect with over 10 years of experience, you will be involved in utilizing generative AI and other ML techniques to create and implement cutting-edge solutions for challenging problems. In this role, you will collaborate with various teams to design innovative solutions that exceed customer expectations and drive impactful projects and technologies forward in a fast-paced environment. Your responsibilities will include working closely with AWS Account Managers, solutions architects, and customers to identify and define AI/ML use cases, understanding customer business challenges, implementing AI solutions such as generative AI, and delivering technical demonstrations for both business and technical leaders. You will be tasked with designing state-of-the-art AI/ML solutions that enhance business capabilities, sharing best practices and reference architectures within the company, and prototyping and validating AI solutions across different industries. To excel in this role, you should have at least 10 years of experience in design, implementation, or consulting in applications and infrastructure, with a strong background in software development, cloud computing, systems engineering, security, networking, and data analytics. Proficiency in using managed AI/ML services and solutions, as well as a deep understanding of various AWS services like SageMaker, Inference, MLOps, and others, is essential. Your technical skills should include expertise in programming languages such as Python, TypeScript, Java, or similar, along with a solid grasp of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and Keras. You should have a demonstrated track record of learning and applying emerging AI/ML technologies, as well as experience in conveying complex concepts to stakeholders in written and verbal formats. In addition to your technical qualifications, you should possess strong collaboration, communication, problem-solving, adaptability, leadership, and mentorship skills. Your ability to work effectively with diverse teams, convey complex AI/ML concepts to a variety of stakeholders, tackle unique challenges with innovative solutions, and stay updated with the latest trends in generative AI and machine learning will be crucial for success in this role. Moreover, holding certifications such as AWS Certified Solutions Architect - Associate and Professional, AWS Certified Developer - Associate, AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics - Specialty, and others would be advantageous. Your proficiency in implementation experience, cloud computing, generative AI, AI/ML frameworks, software development, data analytics, and other relevant skills will be instrumental in driving the success of AI/ML projects and initiatives. In summary, as a Senior Machine Learning Architect, you will play a pivotal role in designing and implementing state-of-the-art AI/ML solutions that address unique business challenges, foster innovation, and drive excellence within the organization. Your technical expertise, collaboration skills, communication abilities, problem-solving acumen, adaptability, and leadership qualities will be essential in shaping the future of AI technologies and making a significant impact in the field.,

As an AI Architect at Novartis Healthcare Private Limited, you will be responsible for designing and implementing cutting-edge Generative AI (GenAI) solutions specifically tailored for the pharmaceutical and life sciences industry. Your role will involve defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance various aspects such as drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. Collaboration with data scientists, engineers, and business stakeholders will be essential to develop scalable, compliant, and high-performance AI applications leveraging large language models (LLMs), multimodal AI, and AI-driven automation. Your key responsibilities will include defining and implementing a generative AI architecture and roadmap aligned with business goals in pharma and life sciences, architecting scalable GenAI solutions for various applications in the industry, working on the development, fine-tuning, and optimization of large language models (LLMs), designing GenAI solutions leveraging cloud platforms or on-premise infrastructure while ensuring data security and regulatory compliance, implementing best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments, ensuring compliance with regulatory standards and responsible AI principles, driving efficiency in generative AI models, collaborating with cross-functional teams, staying updated with the latest advancements in GenAI, and incorporating emerging technologies into the company's AI strategy. To be successful in this role, you are required to have a Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field, along with 8+ years of experience in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical expertise in Generative AI, large language models (LLMs), multimodal AI, deep learning, AI/ML frameworks, data engineering, ETL pipelines, programming languages, cloud AI services, MLOps, DevOps, regulatory & ethical AI, and problem-solving skills are essential. Excellent communication and leadership skills are also required to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Preferred qualifications include experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence, knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences, AI/ML certifications, understanding of biomedical ontologies, semantic AI models, and federated learning, exposure to fine-tuning LLM models, and familiarity with specific AI models like BioGPT, PubMedBERT, and custom SLMs. Novartis is committed to fostering an inclusive work environment and building diverse teams that are representative of the patients and communities the company serves. If you require accommodation during the recruitment process due to a medical condition or disability, you can reach out to [email protected] with your request and contact information. Join Novartis in creating a brighter future together and explore the opportunities within the Novartis Network for suitable career options.,

As a Senior Software Development Engineer (Embedded) at AMD, you will play a crucial role in contributing to the development and enhancement of AMD's cutting-edge technologies. Your innovative and problem-solving mindset will be instrumental in driving the execution of comprehensive software solutions for new technology projects. You will collaborate closely with cross-functional teams to validate and deliver high-quality software features, ensuring the successful introduction of new products to the market. To excel in this role, you must possess expertise in C, C++, and Python, along with hands-on experience in working with ARM SoCs and Embedded systems. Your knowledge of Linux kernel/driver development and familiarity with AI/ML Frameworks will be valuable assets in contributing to the design and implementation of innovative system architectures. Additionally, your strong understanding of object-oriented design principles, software engineering best practices, and proficiency in multithread programming will be key in driving results and solving complex technical challenges. You will be part of a dynamic team that values collaboration, execution excellence, and inclusivity. Your academic background in Computer/Software Engineering or Computer Science, coupled with 4+ years of relevant experience, will provide you with a solid foundation to make meaningful contributions to AMD's mission of advancing next-generation computing experiences. If you are passionate about technology, thrive in a fast-paced environment, and are eager to push the limits of innovation, we invite you to join us on this exciting journey at AMD.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us to build an exceptional experience for yourself and contribute to creating a better working world for all. As a Manager - AI/GenAI in the Data and Analytics team at EY, you will be part of a multi-disciplinary technology team delivering client projects and solutions across various domains like Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. Your responsibilities will include developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, Generative AI, text analytics, and Python Programming. These solutions will be utilized to implement EY SaT mergers and acquisition methodologies across different sectors such as Financial Services, Consumer, Product & Retail, Healthcare & Wellness, Manufacturing, Supply Chain, Telecom, Real Estate, etc. Your key responsibilities will involve: - Developing, reviewing, and implementing solutions applying AI, Machine Learning, Deep Learning, and creating APIs using Python. - Leading the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google's Palm, Cohere, etc.) Large Language Models (LLMs). - Working with advanced models like GPT-3.5, GPT 4, Llama, BERT for natural language processing and creative content generation. - Designing and optimizing solutions using Vector databases for efficient storage and retrieval of contextual data for LLMs. - Identifying opportunities for analytics applications based on business understanding within different sectors. - Managing projects of various sizes, ensuring smooth service delivery, studying resource needs, and communicating effectively with cross-functional teams. To qualify for this role, you must have: - Experience in guiding teams on AI/Data Science projects and presenting results to clients. - Proficiency in implementing solutions in Azure Cloud Framework and excellent presentation skills. - 9-14 years of relevant work experience in developing and implementing AI and Machine Learning models, with deployment experience in Azure preferred. - Expertise in statistical techniques, deep learning, machine learning algorithms, NLG, LLM, and DL Techniques. - Strong programming skills in Python, experience with SDLC, and the ability to mentor team members. - Excellent communication skills, strategic thinking abilities, and a client-centric approach. Ideally, you should also possess: - Strategic thinking skills with a result-oriented mindset. - Ability to build rapport with clients and stakeholders. - Willingness to travel and work at various client sites and practice office locations. At EY, we look for individuals with commercial acumen, technical expertise, and a willingness to learn in a fast-paced environment. You will have the opportunity to work with a diverse team of professionals globally, across various industries, and be part of a market-leading, multi-disciplinary team. In addition, you will be part of the EY Global Delivery Services (GDS) network, offering fulfilling career opportunities and the chance to collaborate with teams from all EY service lines and geographies. Join us at EY and be part of building a better working world, where you will have access to continuous learning, transformative leadership, and a diverse and inclusive culture. EY teams around the world provide trust through assurance and help clients grow, transform, and operate by asking better questions to find new answers for the complex issues facing our world today.,

As an experienced Software Architect, you will be responsible for architecting and designing complex, scalable workflows and solutions that meet the business needs and technology goals. Your expertise will be crucial in developing cloud-native architectures that ensure scalability, performance, and security for enterprise applications. You will lead initiatives to enhance data interoperability, enabling seamless integration of systems and efficient data exchange across diverse platforms. Your role will also involve leading the design and implementation of robust APIs that support effective system integration, scalability, and data flow. You will advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence to ensure smooth project delivery. In this position, it would be beneficial to have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. With 10-12 years of experience in software architecture, you should possess expertise in cloud-native architectures and data integration strategies. Proficiency in at least one major cloud platform such as AWS, Azure, or Google Cloud, along with knowledge of multi-cloud strategies, is highly desirable. Your familiarity with DevOps tools and practices like Docker, Kubernetes, Jenkins, and Terraform, focusing on automation and infrastructure-as-code, will be advantageous. Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures will be a plus. Additionally, proven experience in data interoperability frameworks and tools to ensure the smooth flow of data between different systems will be valuable in this role.,

About the role You will be part of a team that is dedicated to developing AI-powered solutions for the media industry, ranging from intelligent workflow automation to smart content analysis and creative assistance. Your primary responsibility will be to work with cutting-edge AI models, conduct research, train, adapt, and integrate them into tools that address real challenges within the media sector. Your tasks will involve working across various AI domains, constructing systems that aid our teams in generating, organizing, processing, and delivering media content more efficiently and effectively. What you'll do - Research and assess state-of-the-art AI/ML models suitable for diverse media workflows. - Train, fine-tune, and adjust models to fulfill accuracy, speed, and scalability requirements. - Incorporate APIs and custom-trained models into end-to-end automated pipelines. - Create orchestration flows, for instance, using n8n, to manage multi-step processes from input to output. - Develop dashboards and interfaces to oversee, control, and optimize AI-driven tasks. - Implement authentication, job tracking, logging, and error-handling systems. - Collaborate closely with media operations and product teams to pinpoint automation opportunities. What you bring We are seeking an individual with the following qualifications: - Proficient in Python with a proven track record of developing maintainable, production-ready code. - Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or similar technologies. - Skilled in model training, fine-tuning, and evaluation. - Familiarity with AI APIs like OpenAI, Anthropic, Hugging Face, etc. - Hands-on experience with workflow automation tools such as n8n, Airflow, or similar platforms. - Knowledge of Docker, asynchronous programming, cloud services, and API security. Why join us This is an opportunity to: - Influence the development of AI tools for the future of media technology. - Be part of a small, dynamic team where your work has a fast turnaround time. - Make a direct impact on creative, operational, and technical workflows. - Have the freedom to explore and experiment with state-of-the-art AI solutions.,

A79.ai is a VC-funded innovator focused on developing an agentic AI platform for enterprises, with a particular emphasis on the biopharma and life sciences industries. The enterprise-grade platform facilitates the rapid deployment of sophisticated AI agent workflows that continuously learn, adapt, and evolve, ultimately providing measurable ROI for pharmaceutical and biotech clients. As the Sr Software Engineer - Agentic AI, you will be responsible for leading the architecture, coding, integration, and deployment of advanced agentic AI solutions tailored to industries such as pharmaceuticals, biotech, and life sciences. This role necessitates a combination of deep technical engineering skills and domain expertise in biopharma analytics to enable clients to achieve new levels of automation, insight, and forecasting accuracy. Your responsibilities will include architecting, coding, and deploying agentic AI-powered systems that integrate life sciences data, market dynamics, and internal client datasets. You will also be involved in building advanced AI agents in Python, developing and optimizing reusable Python-based agent workflows, engineering robust data pipelines for system integration, and serving as the principal technical contact for enterprise clients. Qualifications for this role include a Bachelors or Masters degree in Computer Science, Data Science, Software Engineering, or a related technical discipline, along with 3 to 5+ years of hands-on engineering experience in AI/ML solutions, data pipelines, or enterprise analytics, preferably within the biopharma or life sciences industry. Advanced Python programming skills, familiarity with biotech and pharmaceutical use cases, experience with agentic AI platforms, cloud platforms, and containerized deployments are also desired. Strong communication skills and a high level of energy and commitment to delivering scalable, production-ready solutions are essential for this position. Industry: Software Development / Biotechnology Employment Type: Full-time,

As a Robotics Engineer at Eternal, you will be part of a cutting-edge team focused on revolutionizing horticulture automation. Whether you are a recent graduate eager to begin your career or an experienced engineer seeking a new challenge, you will have the opportunity to work on advanced autonomous systems that are reshaping the future of sustainable food production. Your role will involve designing and implementing robust robotics software using ROS2 and modern C++ for autonomous navigation, manipulation, and perception in dynamic greenhouse environments. You will develop and validate algorithms in NVIDIA Isaac Sim before deploying them to a fleet of robots, significantly reducing development cycles. Your work will also include creating intelligent systems that enable robots to make real-time decisions about crop work, integrating computer vision models with robotic control systems, and implementing over-the-air update systems for remote deployment of new capabilities. Collaboration is key at Eternal, and as a Robotics Engineer, you will work closely with a distributed team across the Cologne headquarters and Bengaluru office. You will have the opportunity to collaborate with AI/ML engineers, mechanical engineers, and crop scientists to deliver end-to-end solutions that push the boundaries of what is possible in agricultural robotics. Qualifications: - Bachelor's degree in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field (or graduating by Summer 2025) - Proficiency in C++ programming or demonstrated ability to upskill quickly - Exposure to ROS/ROS2 through real-world implementations, projects, internships, or coursework - Understanding of core robotics concepts: kinematics, dynamics, control theory, and path planning - Familiarity with Linux environments - Passion for solving complex real-world problems with tangible impact Experience Levels: 1. New Graduate / Entry Level (0-2 years) 2. Early Career (2-5 years) 3. Senior Level (5-8 years) 4. Staff/Principal Level (8+ years) Preferred Qualifications: - Experience with NVIDIA Isaac Sim or Omniverse for robotics simulation - GPU programming skills (CUDA) for accelerating perception algorithms - Knowledge of modern AI/ML frameworks and their application to robotics - Experience with modular hardware design and systems integration - Participation in robotics competitions or research publications - Open source contributions to robotics projects At Eternal, you will have the opportunity to launch your career, contribute to solving global food security challenges, work with cutting-edge technology, experience rapid innovation, and be part of a team that values mentorship, learning, and diversity. If you are ready to revolutionize how the world grows food and be a part of building autonomous systems with a significant impact, we encourage you to apply and join our mission at Eternal.,

We are seeking a skilled and passionate Prompt Engineer with expertise in Prompt Engineering and LLM-based application development. As a Prompt Engineer, you will be responsible for designing, developing, and scaling GenAI-powered applications using cutting-edge technologies in AI, full-stack development, and cloud computing. Your key responsibilities will include designing and developing AI applications utilizing Large Language Models (LLMs) such as GPT-4, Claude, or LLaMA. You will be tasked with writing, optimizing, and evaluating prompts for various tasks and use cases. Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies is essential for this role. Additionally, you will be expected to build responsive frontend interfaces using frameworks like React.js, Vue.js, or similar. Integration with AI APIs such as OpenAI, Azure OpenAI, Cohere, etc., and working with frameworks like LangChain, LlamaIndex, and RAG pipelines will be part of your daily tasks. Implementing vector databases like Pinecone, Weaviate, and FAISS for knowledge retrieval is also crucial. Collaboration with cross-functional teams for system integration and deployment to ensure best practices in coding, testing, DevOps, and cloud deployment is a key aspect of this role. The ideal candidate should possess proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies and have experience with AI/ML frameworks like TensorFlow, PyTorch, and Hugging Face. Hands-on experience with Prompt Engineering for Large Language Models (LLMs) such as GPT, Claude, LLaMA, etc., and knowledge of RAG, LangChain, or LlamaIndex are highly desired. Familiarity with AI APIs like OpenAI, Azure OpenAI, and backend development using FastAPI, Flask, or Express is required. Experience in frontend development using React or Vue.js, familiarity with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP) are essential skills for this role. Preferred skills include experience with LangChain, LlamaIndex, or similar frameworks, familiarity with tools like Hugging Face, OpenAI Playground, Azure OpenAI Studio, knowledge of MLOps tools, and data pipelines, and understanding of prompt tuning and fine-tuning LLMs.,

We are seeking a skilled and experienced AI/ML Engineer to join our Bangalore-based team. The ideal candidate will have a strong background in machine learning, data preprocessing, and deploying AI solutions in cloud environments. This role requires a hands-on professional with a consulting mindset who can translate business needs into actionable AI/ML solutions. The candidate will lead and support the design, implementation, and optimization of AI-powered tools across various business or public sector environments. The role also includes client interaction, mentoring junior staff, and contributing to end-to-end project lifecyclesfrom data ingestion to model deployment and monitoring. Lead the design and implementation of AI/ML solutions for clients. Translate business problems into technical requirements and model-driven solutions. Perform data preparation tasks, including cleansing, preprocessing, and handling missing or inconsistent data. Work with AI frameworks like TensorFlow, PyTorch, and Scikit-learn. Leverage cloud-based AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI. Provide functional support and guidance during implementation and post-deployment phases. Analyze and redesign business processes as required by AI implementations. Mentor junior team members and support business stakeholders in AI adoption. Engage directly with clients and senior stakeholders to drive solution outcomes. Collaborate across global virtual teams and contribute to best practices in AI solution delivery. To be successful in this role, you must have a Masters degree in computer science, Data Science, AI/ML, or a related technical discipline. Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer Certificate) are required. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines for ML models) is essential. Exposure to Natural Language Processing (NLP), Computer Vision, or Deep Learning projects is preferred. Understanding of data privacy, model interpretability, and responsible AI principles is necessary. Experience working in cross-functional teams and global delivery models is an advantage. Prior experience in client-facing roles within consulting or IT services companies is beneficial. Strong business acumen and ability to communicate AI/ML concepts to non-technical stakeholders is crucial. The must-have skills for this role include 3+ years of hands-on experience in AI/ML development or consulting, proficiency in data preparation, including cleansing, feature engineering, and data validation, strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI), excellent problem-solving and communication skills, and ability to work in dynamic and globally distributed teams. Good-to-have skills include prior consulting experience with public or private sector clients, familiarity with DevOps and MLOps practices for model deployment and monitoring, exposure to business process mapping and improvement initiatives, and experience leading or supporting client-facing workshops or strategy sessions. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect, and belonging. Here, you'll reach your full potential because you are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team - one of the largest IT and business consulting services firms in the world.,

The role of AI Architect is open for PAN India and welcomes applicants who are interested in revolutionizing HR operations within a fast-paced IT services environment. As an AI Architect, you will play a pivotal role in designing and implementing AI-driven solutions that enhance various HR capabilities. Your expertise will be crucial in integrating AI tools into enterprise platforms, developing predictive models, implementing automation solutions, and ensuring compliance with data privacy regulations. Additionally, you will be responsible for evaluating emerging AI technologies, driving scalability and optimization of AI models, and contributing to the continuous improvement of HR operations. As an AI Architect, your key responsibilities will include: - Architecting intelligent systems to improve HR functions such as talent acquisition, workforce planning, employee engagement, and learning & development. - Collaborating with HR, IT, and data teams to integrate AI tools into enterprise platforms like Workday, SAP SuccessFactors, Oracle HCM, and ServiceNow. - Leading the development of predictive models for attrition prediction, talent matching, career pathing, and performance forecasting. - Implementing intelligent automation solutions such as resume parsing, chatbot-based onboarding, and personalized employee experiences. - Ensuring AI solutions comply with global data privacy and ethical standards, focusing on responsible AI practices. - Evaluating emerging AI technologies and recommending adoption strategies for HR transformation. - Driving scalability and optimization of AI models in multi-client, service-based HR environments. The ideal candidate for this role should possess: - A Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. - 11+ years of experience in AI/ML systems development or architecture, with exposure to enterprise transformation initiatives. - Strong understanding of HR operations and challenges in global workforce management. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI/ML frameworks. - Familiarity with HR systems and APIs, such as Workday, SAP, Oracle, and ServiceNow. Preferred qualifications for this role include: - Experience with AI applications in recruitment, learning, performance management, or employee experience. - Knowledge of ethical AI practices, bias mitigation, and responsible data usage in workforce analytics. - Certifications in AI/ML or HR analytics, such as Microsoft AI Engineer, SHRM-CP, or PHR. Join us as an AI Architect to drive innovation at the intersection of AI and HR transformation, lead digital HR initiatives, and be a part of a collaborative culture with access to cutting-edge technologies and thought leadership.,

You should have a Bachelors or Masters degree in Computer Science, Computer Engineering, Computer Applications, Information Technology, or a related field in AI/ML. Possessing a relevant certification in AI/ML will be considered advantageous. You must have a minimum of 2 successful AI/ML Proof of Concepts (POCs) or production deployments. Previous experience in AI-powered automation, AI-based DevOps, or AI-assisted coding is preferred. Your background should demonstrate a proven track record of teamwork, timely delivery, and problem-solving abilities. Strong analytical skills with a learning mindset are essential for this role. A positive attitude, attention to detail, and the ability to work collaboratively are key qualities we value. In terms of AI/ML expertise, you must have hands-on experience in Python programming and familiarity with GenAI models and LLMs/SLMs through real projects or POCs. Additionally, practical experience in Machine Learning and Deep Learning is required. Proficiency in working with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is expected. Understanding of MLOps pipelines and AI model deployment processes is a plus. This is a full-time position that requires working during the day shift in person at the specified location.,

The primary responsibility of the Data Science & Analysis role in India is to design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare and other relevant datasets, with a key focus on accuracy and context relevance. Collaboration with cross-functional teams (Business, engineering, IT) is essential to seamlessly integrate AI/ML technologies into solution offerings. Deployment, monitoring, and management of AI models in a production environment are crucial to ensure high availability, scalability, and performance. Continuous research and evaluation of the latest advancements in AI/ML and industry trends are required to drive innovation. Comprehensive documentation for AI models, covering development, training, fine-tuning, and deployment procedures, needs to be developed and maintained. Providing technical guidance and mentorship to junior AI engineers and team members is also a part of the role. Collaboration with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development is critical. Selecting and curating appropriate datasets for fine-tuning foundational models to address specific use cases is an essential aspect of the job. Ensuring that AI solutions can seamlessly integrate with existing systems and applications is also part of the responsibilities. For this role, a Bachelor's or Master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is required. The ideal candidate should have 4 to 6 years of hands-on experience in AI/ML, with a proven track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc., is necessary. Practical experience in deploying and managing AI models in production environments, including expertise in serving and inference frameworks like Triton, TensorRT, VLLM, TGI, etc., is expected. Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI), and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities are required to tackle complex challenges and evaluate multiple factors. Exceptional communication and collaboration skills are necessary for effective teamwork in a dynamic environment. The ideal candidate should have worked on a minimum of 2 AI/LLM projects from start to finish, demonstrating proven business value. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models would also be advantageous. Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package that reflects the commitment to creating a diverse and supportive workplace. Guidehouse is an Equal Opportunity Employer that considers qualified applicants with criminal histories in accordance with applicable laws and regulations, including the Fair Chance Ordinance of Los Angeles and San Francisco. If accommodation is required to apply for a position or for information about employment opportunities, applicants can contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information provided will be kept confidential and used only as needed to provide necessary reasonable accommodation. All recruitment communication from Guidehouse will be sent from Guidehouse email domains, including @guidehouse.com or guidehouse@myworkday.com. Any correspondence received from other domains should be considered unauthorized and will not be honored by Guidehouse. Guidehouse does not charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in recruitment events. Banking information should never be provided to a third party claiming to need it for the hiring process. If any demand for money related to a job opportunity with Guidehouse arises, it should be reported to Guidehouse's Ethics Hotline. For verification of received correspondence, applicants can contact recruiting@guidehouse.com. Guidehouse is not liable for any losses incurred from an applicant's dealings with unauthorized third parties.,

You will be responsible for leading the transformation of Quality Engineering (QE) practices through AI innovation. This role involves driving awareness, experimentation, and adoption of AI-powered solutions across QE teams to enable intelligent automation, predictive analytics, and enhanced testing efficiency. Your key responsibilities will include conducting internal workshops, demos, and enablement sessions to promote AI in QE. You will represent QE in AI councils, innovation forums, and client showcases. Collaborating with QE architects and platform teams, you will embed AI into test case generation, defect prediction, and root cause analysis. Partnering with GenAI labs and solution architects will help you contextualize AI capabilities for client use cases. Additionally, you will evaluate and recommend AI tools and frameworks. As an AI Evangelist, you will be expected to develop reusable assets, PoCs, and demo kits showcasing AI in QE. Working with product managers, developers, and SDETs, you will identify AI integration points in the Software Development Life Cycle (SDLC). You will also liaise between AI platform teams and QE delivery units to align tools, metrics, and governance, and conduct training sessions with stakeholders. The required skills and experience for this role include hands-on experience with AI/ML frameworks, especially in test data generation, NLP-based test case creation, and anomaly detection. Proficiency in languages such as Java, Python, and QA tools like Selenium, Cypress, Appium, Rest Assured, Jmeter, etc., is essential. A strong foundation in software testing, test automation, and DevOps is also necessary. Familiarity with tools like AI Force, Marvel, SV Lite, and Falcon for AI-powered QE is preferred. Excellent communication skills are vital to translate complex AI concepts into actionable QE strategies. Experience in client demos, pre-sales, or internal evangelism is considered a plus.,

As a Lead Technical Architect with a focus on AI/ML technologies, you will leverage your 14+ years of experience in software development and architecture to drive innovation and lead the design of cutting-edge AI projects for a key client. You will collaborate with industry experts, provide strategic technical direction, and ensure architectural consistency, scalability, and security across multiple teams. Your key responsibilities will include leading the design and development of large-scale AI projects, aligning technology strategies with business objectives, and driving the adoption of cutting-edge AI technologies and best practices. You will need to have a Bachelor's or Masters degree in Computer Science or related field, proficiency in languages such as Python, Java, C#, JavaScript, and strong knowledge of AI/ML frameworks and cloud platforms. Joining our team will offer you a dynamic and supportive work environment where your contributions will shape the future of AI technologies. You will have the opportunity to collaborate with industry experts, drive transformative projects, and enjoy competitive compensation and flexible work arrangements. If you are passionate about AI technologies and leadership, we encourage you to apply for this exciting opportunity.,

The Data Science & Analysis team in India is looking for a skilled professional to join our dynamic team. As a member of our team, you will be responsible for designing, training, and fine-tuning advanced foundational models such as text, audio, and vision using healthcare and other relevant datasets. Your focus will be on accuracy and context relevance to ensure the efficiency of our solutions. Collaboration with cross-functional teams including Business, engineering, and IT is key in seamlessly integrating AI/ML technologies into our solution offerings. You will also play a crucial role in deploying, monitoring, and managing AI models in a production environment, ensuring high availability, scalability, and performance. Staying updated with the latest advancements in AI/ML and industry trends is essential to drive innovation within the team. Adherence to industry standards and regulatory requirements, such as HIPAA, is paramount in developing AI solutions. You will be responsible for developing and maintaining comprehensive documentation for AI models, providing technical guidance and mentorship to junior AI engineers, and collaborating with stakeholders to understand and translate business needs into technical requirements. To be successful in this role, you should hold a Bachelors or Masters degree in computer science, Artificial Intelligence, Machine Learning, or a related field. With a minimum of 10 years of industry experience, including at least 5 years of hands-on experience in AI/ML, you should have a strong proficiency in Python and familiarity with popular AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience in deploying and managing AI models in production environments, expertise in serving and inference frameworks, and practical experience in Voice AI applications are desirable skills. Additionally, familiarity with healthcare data standards, regulatory compliance, cloud computing platforms, and containerization technologies will be beneficial in this role. If you have experience with federated learning, privacy-preserving AI techniques, synthetic data generation for healthcare model training, and knowledge of healthcare, it would be considered a plus. Your ability to evaluate and select GenAI models based on performance, cost, and compliance factors will be highly valued. Guidehouse offers a comprehensive total rewards package including competitive compensation and flexible benefits. We are an Equal Opportunity Employer and encourage individuals with diverse backgrounds to apply. If you require accommodation during the application process, please contact Guidehouse Recruiting for assistance. Join us at Guidehouse and be a part of a team that values innovation, collaboration, and diversity in a supportive workplace environment.,

As a Technical Sales Specialist for Cognitive Network Solutions (CNS) in the Global PreSales Center - Bid Office Organization, you will be responsible for providing technical expertise and domain knowledge during the sales cycle for solutions related to the RAN Intelligent Controller (RIC) and rApps. Your primary role will involve closely collaborating with Sales, Product, and engineering teams to demonstrate technical feasibility and ensure that proposed solutions align with customer requirements. Your key responsibilities will include: - Providing high-quality responses for RFx/tenders within specified timelines. - Developing solution architectures and responding to RFPs/RFIs for rApp-based offerings. - Supporting pre-sales RFX deliverables such as Statement of Compliance (SoC), Dimensioning, HW-SW configuration in ECP/ACS, Solution description, and services estimates. - Aligning solution and proposals strategy and providing support to Customer Units (CUs). - Engaging with customer units during RFX to understand their business and technical needs related to RAN optimization and automation. - Articulating the technical capabilities and business benefits of rApps. - Creating technical documentation, including solution blueprints, architecture diagrams, and integration plans. - Collaborating with cross SA (NM)/BA (BNEW) to tailor rApp solutions based on customer requirements. - Working with product management to influence the rApp product roadmap based on market feedback. To be successful in this role, you should possess: - Good understanding of the sales process. - Knowledge of Service Management and Orchestration (SMO) and Non-RT RIC. - Familiarity with AI/ML frameworks and APIs used in rApp development. - Understanding of containerization (Docker, Kubernetes), CI/CD pipelines, OSS/BSS integration, and RAN analytics. - Deep knowledge of O-RAN specifications, RIC architecture, and the rApp ecosystem. - Awareness of industry trends in 5G, AI/ML for RAN, and O-RAN Alliance developments. Preferred Skills: - Interpersonal skills. - Presentation and communication skills. - Teamwork and collaboration. - Analytical thinking. - Relating and networking. - Delivery results and customer expectations. - Adapting and responding to change. - Ability to meet tight deadlines. - Problem-solving and strategic thinking. - Ability to work independently and across cross-functional teams. - At least 6-10 years of experience in the Telecom industry. - Bachelor's degree in computer science, electronics engineering, or a related field. - Fluency in English for oral and written communication. Preferred Certifications (Optional): - O-RAN Alliance training/certification. - TM Forum or similar telecom standards certifications. - Cloud certifications (AWS/GCP/Azure) are a plus.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

As an SMO OSS Integration Consultant with 4 to 8 years of experience based in Bangalore, you will be expected to demonstrate the following expertise: Technical Expertise: - Possess a strong knowledge of SMO platforms and their integration with OSS systems. - Show familiarity with OSS functions such as inventory management, fault management, and performance monitoring. - Have hands-on experience with O-RAN interfaces like A1, E2, and O1. Protocols and Standards: - Showcase in-depth knowledge of 5G standards, including 3GPP, O-RAN, and TM Forum. - Demonstrate familiarity with protocols such as HTTP/REST APIs, NETCONF, and YANG. Programming and Scripting: - Exhibit proficiency in Python, Bash, or similar languages for scripting and automation. - Display experience with AI/ML frameworks and their application in network optimization. Tools and Platforms: - Possess experience working with tools like Prometheus, Grafana, Kubernetes, Helm, and Ansible for monitoring and deployment. - Show familiarity with cloud-native deployments, including OpenShift, AWS, and Azure. If you meet the requirements mentioned above and are prepared to contribute effectively in a fast-paced environment, please reach out to Bala at bala@cssrecruit.com for further details.,

As a member of the gTechs Professional Services team at Google, you will play a pivotal role in providing foundational services and innovative business solutions to top advertiser and publisher customers. Your expertise in client-side web technologies, programming languages, technical troubleshooting, and AI/ML frameworks will be instrumental in helping customers achieve their business objectives. With a Bachelor's degree in Engineering, Computer Science, or a related field, along with 6 years of experience in web technologies and programming, you are well-equipped to collaborate with Google Ads Product Managers and Software Engineers to enhance sustainability solutions for users, partners, and clients. Your ability to lead global industry discussions on standardizing ads carbon methodologies and engaging with key stakeholders demonstrates your commitment to driving impactful change within the Ads ecosystem. In this role, you will have the opportunity to analyze and resolve complex technical challenges, manage diverse stakeholders, and contribute to the development of innovative solutions that align with Google's mission to make the world a better place. Your excellent communication skills and proactive approach to problem-solving will enable you to thrive in dynamic environments and drive sustainable business practices across the digital advertising landscape. If you are passionate about leveraging technology to create positive outcomes and eager to work in a collaborative, customer-centric environment, this role offers a unique opportunity to make a difference while advancing your career in the digital advertising industry. Join us at Google, where your technical expertise and strategic insights can help shape the future of sustainable advertising solutions.,

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you'll also get to visit other locations in India and globe, so you'll need to go where this job takes you. In return, you'll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: - Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). - Build intelligent systems that understand natural language queries and automate complex workflows. - Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. - Prototype and productize tools that leverage code understanding, profiling, and data analysis. - Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. - Work on prompt engineering, few-shot learning, and tool use orchestration What We're Looking For: Must-Have: - Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). - Candidates with 8+ years of proven experience. - Strong working knowledge of LangChain, RAG pipelines, and vector stores. - Strong understanding and experience in application of Deep Learning models like ANNs and transformers. - Experience in developing AI agents or copilots that interface with tools or external APIs. - Proficiency in Python; familiarity with software design patterns and clean code. - Practical experience in data preprocessing, feature engineering, and model evaluation. - Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. - Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. - Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: - Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). - Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us - Work on cutting-edge AI R&D projects with real product impact! - Be part of a startup-like team within a global tech company. - Opportunity to lead innovation, publish internally, and drive industry-first solutions. - Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! Transform the everyday,