108 Integer Jobs - Page 5

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 you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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 you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

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 you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description : EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Description: As a Senior Data and Applied Scientist, you will work with Pattern's Data Science team to curate and analyze data, and apply machine learning models and statistical techniques to solve business problems across the organization. Most of your work will revolve around logistics and operations. What you’ll do: Design, build, and maintain predictive machine learning models and simulations to optimize solutions across Pattern. Communicate potential model improvements, data needs, and opportunities across relevant business units and developer teams. Continuously optimize the quality of our machine learning models. Conduct research to integrate new data sources, innovate in feature engineering, fine-tune algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide business decisions. Work closely with data science teams across different regions (US and India), ensuring seamless collaboration and knowledge sharing. Follow code standards and best practices. Perform root cause analysis to determine accuracy defects and drive improvements. What we’re looking for: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field. 2-6 years of industry experience in building and deploying machine learning solutions and simulations. 1-3 years of industry experience in logistics/operations. Understanding of linear programming, integer programming, and nonlinear programming Excellent communication skills (written and verbal) across departments with different levels of machine learning knowledge. Strong data manipulation and programming skills in Python and SQL, and hands-on experience with libraries such as Pandas, NumPy, Scikit-Learn, XGBoost. Strong problem-solving skills and an ability to analyze complex data. In-depth expertise in a range of machine learning and statistical techniques, such as linear and tree-based models, along with understanding of model evaluation metrics. Experience with Git, AWS, and deep learning models is advantageous. Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Show more Show less

John Cockerill, enablers of opportunities Driven since 1817 by the entrepreneurial spirit and thirst for innovation of its founder, the John Cockerill Group develops large-scale technological solutions to meet the needs of its time: facilitating access to low carbon energies, enabling sustainable industrial production, preserving natural resources, contributing to greener mobility, enhancing security and installing essential infrastructures. Its offer to businesses, governments and communities consists of services and associated equipment for the sectors of energy, defence, industry, the environment, transports, and infrastructures. With over 6,000 employees, John Cockerill achieved a turnover of € 1,046 billion in 2023 in 29 countries, on 5 continents. www.johncockerill.com Location - Mumbai, India Job Purpose Your responsibility is to develop and manage sustainable and profitable sales activities throughout a global network of customers/partners (end-users, EPC contractors, main contractors, engineering, etc.) acting in the field of industrial projects in the Energy, Oil & Gas Petrochemical, etc. sectors. Your commercial area will be India, Nepal & Bangladesh. Your customers might be focusing on Indian projects but also for export projects. Therefore, having an international experience or background is also a strong asset. You will be able to leverage experience of strong team of John Cockerill Hamon established in India & France. Your portfolio is Field Erected Cooling Towers. You will also promote Field Erected Air Cool Condensers and handover business opportunities to John Cockerill HAMON dedicated subsidiaries. Technical skills are key competences for John Cockerill HAMON to sell our type of product, you will be trained to size and quote our equipment with our internal tools software and supporting back-office teams. Once an opportunity is detected and requires much proposal work you may benefit from the support of the proposal team located in India & France. This job position is mixing commercial and technical skills. On top of a minimum business English level, any other language will be considered as an extra asset (French or Arabic mainly). Office is located in Mumbai. It is to be expected 1 week per month of business trip to keep closed contact with our key account customers. Key Responsibilities From sales point of view, be accountable for the allocated zone. Develop and manage the Proposal pipeline to achieve yearly sales targets (profitability & bookings). John Cockerill HAMON is using Salesforce tool as CRM. Develop and manage on a pro-active basis client relationship, act as a single point of contact for customers, remain aware of the contract development through the Project Manager and, when required, support him during execution for additional negotiation. Develop a clear understanding of the market for the allocated zone, build up positive & strategic working relationship with clients, agents, partners, licensees as well as other Hamon subsidiaries. Maximize understanding of client’s needs, communicate to the proposal Team and Project Execution Team and convert into explicit and winning Proposal. Offer preparation: For some budgetary stage offers, with the support of the whole organization, you will be trained to make your own selection of products based on thermal sizing tools. Then you will be able to prepare the costing sheet. During final development of the proposal, you will team up with a proposal manager that will lead the technical & costing part allowing you to focus more on commercial & contractual duties. Analyze contractual terms and conditions, evaluate them with the support of the Trade/ Finance and Legal departments. Negotiate within the agreed liabilities, favorable terms and conditions (payment terms, cash flow, risk analysis, etc) to ensure smooth, timely and profitable execution. Propose marketing actions on the allocated zone and execute them with the support of the Marketing Manager & the Head of Sales. Report continuously to the Head of Sales updates regarding the development on the allocated zone (projects, proposals, agents, forecast, etc.). Identify projects, fix target with Head of Sales, keep up to date the CRM and forecast them for the next xx months. Create team spirit within the Sales & Proposal team. Coordinate opportunities of the allocated area throughout Hamon subsidiaries. Take care of opportunities during the complete “Lead to Order” lifecycle starting from opportunity identification up to its decision. John Cockerill Hamon “Lead to Order” life cycle consist of several stages & Gates to ensure the proposal is properly established ensuring a smooth execution phase with limited / mitigated risk exposure. The area Sales Manager is responsible to organize this path in time to ensure compatibility between John Cockerill Hamon governance and customer expectations. The Area Sales Manager is the timekeeper of the Sales & Proposal development. Attend to technical and commercial bid clarification meeting(s) with Client / sales team until contract signature. Consolidate and Transfer Project to Operation team after award. Be accountable of Compliance checks as per John Cockerill Group Frame procedures. Education & Experience Engineer with minimum 15 years of experience in a local and or international sales, business development in the oil and gas / energy environment, Experience and network in the Allocated area is a strong asset. Result and client oriented, Fluent in written and spoken English language used in the allocated area. Minimum knowledge of French or Arabic could be valuable (not mandatory). Able to speak in public, business awareness. Relationship network building competences Result & customer oriented, Integer and good team leader. Ready to travel on Monthly basis (1week per month in average) Who We Are John Cockerill Energy, a player in the energy transition: the strength of a diversified and combinable range of solutions It Is From The Heart Of Its History Stretching Back More Than 200 Years That John Cockerill Energy Draws Its Expertise In The Production Of Steam, Which Has Led To It Being Recognized Worldwide On The Market For The Conception And Supply Of Heat Recuperation Boilers. Resolutely Turned Towards The Future. We Proudly Incarnate The Bold Spirit Of An Entrepreneur And We Have Extended Our Know-how To Respond To The Needs Of Our Times, By Developing Innovative Solutions To Encourage Access To Energy, Just Like Our Founder In His Own Times Heat Recovery steam generators, particularly suited to operate in cycles with frequent start-ups and shutdowns. They can be installed behind gas turbines of all power ratings, brands and burning all types of fuel. The manufacture and maintenance of boiler parts, in particular pressure parts in its specialized workshop based in Mexico. Aftersales services, technical assistance, inspections from the rehabilitation to the modernization of all types and brands of boilers. Wet & dry cooling with cooling towers and air-cooled condensers for power plants. Thermal solar receivers (Concentrated Solar Power), that capture the sun’s rays, reflected by mirrors on the ground, and enable to produce energy 24/7 thanks to molten salts. Industrial boilers destined for sectors such as chemicals, petrochemicals, biomass, incineration, … It is from this knowledgeable mix of tradition and innovation that we draw our own energy. And it is across the whole world that John Cockerill Energy makes its mark through its technological know-how and its mastery of project management thanks to our Belgian, American and Mexican teams and our recuperation boiler licensees, Wuxi, S&T and Larsen & Toubro which respectively cover China, South Korea and India. Together, we all work to facilitate access to green energy. Visit us at Energy - John Cockerill to know more. Equal Opportunity Employer John Cockerill and all John Cockerill Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, ancestry, sex (including pregnancy, childbirth and related medical conditions), age, marital status, disability, veteran status, citizenship status, sexual orientation, gender identity or expression, and other characteristics protected by law. John Cockerill offers you career and development opportunities within its various sectors in a friendly working environment. Do you want to work for an innovative company that will allow you to take up technical challenges on a daily basis? We look forward to receiving your application and to meeting you! Discover our job opportunities in details on www.johncockerill.com Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: General Summary Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are hiring talented engineers for CPU RTL development targeted for high performance, low power devices. As a CPU Micro-architecture and RTL Design Engineer, you will work with chip architects to conceive of the micro-architecture, and also help with architecture/product definition through early involvement in the product life-cycle. Roles And Responsibilities Performance exploration. Explore high performance strategies working with the CPU modeling team. Microarchitecture development and specification. From early high-level architectural exploration, through micro architectural research and arriving at a detailed specification. RTL ownership. Development, assessment and refinement of RTL design to target power, performance, area and timing goals. Functional verification support. Help the design verification team execute on the functional verification strategy. Performance verification support. Help verify that the RTL design meets the performance goals. Design delivery. Work with multi-functional engineering team to implement and validate physical design on the aspects of timing, area, reliability, testability and po Preferred Qualifications Thorough knowledge of microprocessor architecture including expertise in one or more of the following areas: instruction fetch and decode, branch prediction, instruction scheduling and register renaming, out-of-order execution, integer and floating point execution, load/store execution, prefetching, cache and memory subsystems Knowledge of Verilog and/or VHDL. Experience with simulators and waveform debugging tools Knowledge of logic design principles along with timing and power implications Understanding of low power microarchitecture techniques Understanding of high performance techniques and trade-offs in a CPU microarchitecture Experience using a scripting language such as Perl or Python Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. Preferred Qualifications: Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 8+ years of Hardware Engineering or related work experience. 2+ years of experience with circuit design (e.g., digital, analog, RF). 2+ years of experience utilizing schematic capture and circuit simulation software. 2+ years of experience with hardware design and measurement instruments such as oscilloscopes, spectrum analyzers, RF tools, etc. 1+ year in a technical leadership role with or without direct reports. Principal Duties And Responsibilities: Leverages advanced Hardware knowledge and experience to plan, optimize, verify, and test critical electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. Integrates complex features and functionality into hardware designs in line with proposals or roadmaps for complex products. Conducts complex simulations and analyses of designs as well as implements designs with the best power, performance, and area. Collaborates with cross-functional teams (e.g., design, verification, validation, software and systems engineering, architecture development teams, etc.) to implement new requirements and incorporate the latest test solutions in the production program to improve the yield, test time, and quality. Evaluates, characterizes, and develops the novel manufacturing of solutions for leading edge products in the most advanced processes and bring-up product to meet customer expectations and schedules. Evaluates reliability of critical materials, properties, and techniques and brings innovation, automation, and optimization to maximize productivity. Evaluates complex design features to identify potential flaws, compatibility issues, and/or compliance issues. Writes detailed technical documentation for complex Hardware projects. Level Of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3071111 Show more Show less

We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... Pure Storage is seeking an early-career problem solver who will help design Pure’s supply chain network of the future. In this high-impact role, you’ll use advanced software tools to model and optimize our global supply chain network. You’ll support the development of proposals, build models, run “what if” scenarios, and help identify opportunities to enhance our supply chain structure. This is a great opportunity to grow your analytical and technical skills while influencing key decisions across the company. Responsibilities Include Act as an internal consultant in network design by partnering with cross-functional teams to analyze expansion opportunities Develop supply chain models using industry-leading tools (e.g., Coupa Supply Chain Guru, AIMMS, or equivalent) for network, transportation, and routing optimization Evaluate network scenarios to reduce Total Landed Costs after tax, minimize touchpoints, and streamline operations Cleanse and prepare data for network modeling efforts, ensuring high data quality and model accuracy Assist in identifying supply chain risks and support development of mitigation strategies Maintain the supply chain network design framework and support data governance activities Support small to medium-sized projects from planning to execution, driving clarity around objectives, assumptions, and deliverables Create and maintain project documentation including intake forms, scenario definitions, and results presentations Contribute to the creation of business cases for network design recommendations What You'll Bring To This Role Bachelor’s degree in Supply Chain, Engineering, Analytics, Business, or a related field 2–3 years of relevant experience in supply chain analytics, modeling, or optimization Exposure to network design and modeling tools such as Coupa Supply Chain Guru, AIMMS, AnyLogistix, or similar Familiarity with linear/integer optimization concepts and supply chain modeling fundamentals Proficient in Excel is a must-have; working knowledge of SQL or Python is a plus Strong analytical and problem-solving skills with a keen attention to detail Comfortable working with large datasets and able to communicate findings clearly Eagerness to learn and grow in a highly collaborative, fast-paced environment Familiarity with ERP systems (SAP, Netsuite) and visualization tools like Tableau or Power BI is a plus Occasional domestic and international travel may be required 5%. What You Can Expect From Us Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers. Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®! Pure Team: We build each other up and set aside ego for the greater good. And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out purebenefits.com for more information. Accommodations And Accessibility Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at TA-Ops@purestorage.com if you’re invited to an interview. Where Differences Fuel Innovation We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. At Pure Storage, diversity, equity, inclusion and sustainability are part of our DNA because we believe our people will shape the next chapter of our success story. Pure Storage is proud to be an equal opportunity employer. We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and people with intersectional identities. We also encourage you to apply even if you feel you don’t match all of the role criteria. If you think you can do the job and feel you’re a good match, please apply. Show more Show less

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 you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less