178 Algorithm Development Jobs - Page 2

As an Engineering & Science team member at Hitachi Energy, a global technology leader, you will have the opportunity to be part of a diverse and collaborative team. Hitachi Energy is dedicated to advancing a sustainable energy future for all. Join us today in Chennai, Tamil Nadu, India for a full-time position and contribute to our mission.,

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About the Company - We re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place. About the role We re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities * As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. * Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. * Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. * Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. * Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. * Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills * 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. * 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. * 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. * Expert-level knowledge of SQL with strong data exploration and manipulation skills. * Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. * Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. * Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. * Creative problem-solver who simplifies problems to their core elements. * B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques . You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI. Key Responsibilities: Research, design, and implement machine learning and deep learning models for predictive and generative AI applications. Apply advanced statistical methods to improve model robustness and interpretability. Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques. Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation. Work closely with ML engineers to validate, train, and deploy the models. Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions. Qualifications & Skills: Education : PhD or Master s degree in Statistics, Mathematics, Computer Science, or a related field. Experience : 4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization. Proficiency in SQL, Python and visualization tools ( Power BI). Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries Strong communication skills to interact effectively with both technical and non-technical stakeholders. Excellent problem-solving skills with the ability to work independently and as part of a team. Soft Skills: Curiosity to uncover why behind patterns. Ability to explain complex findings simply. Business Unit: Analytics Location: Bangalore

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. & Summary Seeking a skilled and passionate React.js Developer to join our team with 58 years of experience. The ideal candidate should have a strong foundation in frontend development and a keen eye for delivering dynamic, highperformance web applications. You will collaborate closely with designers, backend developers, and product managers to build innovative solutions that enhance user experiences. Responsibilities Develop and maintain responsive web applications using React.js Collaborate with UI/UX designers to ensure technical feasibility of designs Write clean, maintainable, and scalable code, following best practices Integrate RESTful APIs and thirdparty services into applications Troubleshoot and debug application issues in a timely manner Mandatory skill sets ReactJs Angular Javascript HTML/CSS5 Preferred skill sets Years of experience required 58 years Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

As an integral member of the Engineering & Science team at Hitachi Energy, a global leader in sustainable energy technology, you will have the opportunity to contribute to a diverse and collaborative work environment. Join us in Chennai, Tamil Nadu, India on a full-time basis and be a part of shaping a sustainable energy future for all. Apply today and be a part of our innovative team at Hitachi Energy.,

The Senior Business Analyst in the Data & Analytics department in Mumbai plays a crucial role in identifying business needs, building analytical tools, developing test strategies, and supporting different teams in delivering business outcomes. The primary job purpose is to identify and scope business requirements by gathering and analyzing information effectively to facilitate the delivery of solutions, initiatives, and programs. Designing analytics techniques to meet present and future business needs is a key responsibility, along with a robust understanding of data and necessary fields for analysis. The role involves mapping analytical frameworks with available data and developing test strategies and procedures to ensure solutions meet design specifications. Additionally, selecting and applying algorithms and advanced computational methods to enable system improvements and desired outcomes are integral to the position. The Senior Business Analyst is expected to approach situations innovatively, challenge the status quo for continuous improvement, and drive positive changes within the organization. The individual should demonstrate a strong drive to achieve goals, recognize interrelationships in business activities, and contribute to the broader vision of the department. As part of the managerial and leadership responsibilities, the Senior Business Analyst leads a team of Business Analysts in model development, containerization, and building deployment pipelines for new models. The role involves leading and implementing projects from inception to completion, focusing on automated deployment and optimizing performance. Success in this role is measured by the successful development and deployment of analytical tools and effective utilization in various business use cases.,

Vehant Technologies is an IIT-Delhi incubated technology products firm that was founded in 2005. We are pioneers in Artificial Intelligence/Machine Learning-based Physical Security, Surveillance, and Traffic Monitoring & Junction Enforcement Solutions. Our products are designed and developed in India, manufactured in India and Europe to meet global standards, features, and quality. Our Security Screening Solutions portfolio offers a range of efficient products including Under Vehicle Scanning System, X-ray Baggage Scanner, Explosive Trace Detector, and Automated Number Plate Recognition System. In addition, our Smart & Safe City Solutions feature TrafficMon - a video-based, Artificial Intelligence, and Machine Learning powered traffic enforcement and management solution that detects violations such as Red light jump, Over Speeding, No Helmet riding, Triple Riding, Wrong Lane movement, and various other traffic violations in real-time. Furthermore, our Enterprise Analytics Solutions focus on implementing enterprise data analytics strategies at every level of business. We also offer Covid Safety Solutions including AI-based thermal temperature screening and intelligent analytics Solutions. As a part of our team, your responsibilities will include: - Leading a team of image processing engineers to develop and implement state-of-the-art image processing algorithms and systems - Designing, developing, and optimizing image processing pipelines for various applications - Integrating image processing algorithms into larger systems by collaborating with other teams - Creating and maintaining project plans and timelines - Reviewing and analyzing project requirements, providing technical guidance to the team - Collaborating with researchers and engineers to develop new image processing technologies - Ensuring best practices for software development, code reviews, and testing are followed by the team - Managing and prioritizing project activities, making strategic decisions for successful project completion - Mentoring and training team members for their professional development and growth - Regularly communicating with stakeholders to provide updates, manage expectations, and align with business objectives Qualifications required for this role include: - Bachelor's or master's degree in Computer Science, Electrical Engineering, or related field - Experience in leading a team of engineers - Strong knowledge of image processing algorithms and techniques such as image enhancement, segmentation, and feature extraction - Proficiency in programming languages like C++ or Python - Experience with Image processing libraries such as OpenCV, IPL, etc - Excellent problem-solving skills and ability to work in a fast-paced environment - Strong communication skills and ability to collaborate effectively - Prioritization and project management skills for handling multiple projects simultaneously - Experience with agile development methodologies is a plus - Desirable: Experience with deep learning frameworks such as TensorFlow, PyTorch, etc If you are passionate about image processing and leading a team of talented engineers to develop cutting-edge technology, we encourage you to apply for this exciting opportunity. Please note that this is a work from office role.,

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

The job requires you to work in an environment with moderate to significant ambiguity and under steep deadlines, where you are expected to make decisions using high-quality judgment. You should demonstrate a high level of technical and managerial expertise and be prepared to work hands-on. Individuals with high energy, stamina, drive, and enthusiasm will be empowered accordingly. Responsibilities include ensuring the quality of analytics solutions delivered to stakeholders, engaging effectively with stakeholders to create and nurture relationships, participating in initial business issues assessment through discovery and dialogues with senior stakeholders, understanding business issues and context to devise frameworks for solving unstructured problems, and articulating clear and actionable analytical solutions. You will research solution approaches, develop solutions using analytical software, create client discussion documents and presentations, and identify new opportunities to improve stakeholder business outcomes. Key Skills required for this role include a strong focus on project delivery and attention to detail, excellent written and verbal communication skills, strong analytical and problem-solving skills, flexibility, pragmatism, and an understanding of managing and manipulating data, algorithms, and developing impactful solutions. You should also have the ability to analyze current processes, suggest improvements, and have experience with ad-hoc deep-dive research and forensic investigations. The ideal candidate will have 4+ years of professional experience in analytics consulting, data science, visual analytics, or decision science. Knowledge of operations/HR/risk and compliance analytics is a plus, along with experience working with data from operations and HR systems. Familiarity with visual analytics modules/software like Tableau, Spotfire, Qlikview, Cognos, or other open sources will be valued. Qualifications required for this role include at least a Masters or above in Statistics, Economics, Mathematics, Operations Research, Industrial Engineering, or a Masters in Engineering/Technology (or B Tech with relevant experience). An MBA from a top business school is also preferred. To learn more about Ckuens, visit our webpage at www.ckuens.com. If you are interested in applying or need further details, please write to career@ckuens.com or call +91 80 4208 4579.,

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The opportunity: We are looking for a highly analytical and creative Mathematician or Physicist or Engineer to join our cross-functional optimization team. This role will focus on developing, validating, and refining mathematical models and algorithms that drive optimization across product design, manufacturing processes, and material systems. Working closely with mechanical/electrical engineers and software developers, you will play a critical role in enabling data-driven decision-making and computational efficiency in areas such as lead time reduction, material and weight optimization, process improvement, and chemical composition refinement. How you ll make an impact: Develop and formalize mathematical models and optimization algorithms to support engineering objectives such as lead time reduction, material efficiency, and process optimization. Collaborate with mechanical/electrical engineers to translate physical system constraints and performance goals into solvable mathematical formulations. Work with software developers to integrate algorithms into custom tools and platforms, ensuring computational efficiency and scalability. Continuously validate and improve existing algorithms in the Optimization System using real-world data, simulations, and feedback from engineering teams. Apply principles from applied mathematics, physics, and numerical methods to solve complex multi-variable optimization problems across design, manufacturing, and materials domains. Support the development of predictive models and simulations for chemical composition optimization and structural performance. Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your background: Master s or Ph. D. in Mathematics, Physics, Applied Mathematics, or a related field. Bachelor s degree in any engineering or a related field, with 3 to 6 years of relevant experience Strong foundation in optimization theory, numerical methods, and mathematical modelling. Experience with programming languages such as Python, MATLAB for algorithm development. Ability to work collaboratively in a multidisciplinary team involving engineers and software developers. Excellent analytical thinking, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Proficiency in both spoken & written English language is required Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. .

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification: PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will : Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

As an IoT Engineer at our company, you will play a crucial role in driving the technological advancement of our digital products. Your deep understanding of IoT, data sensors, artificial intelligence (AI), and industry 4.0 will be instrumental in collaborating with the R&D team to develop new technologies and ensure our software remains functional and up to date. The impact of your work will directly influence the data we collect, customer satisfaction, and the success of our business initiatives. Your responsibilities will include leading the development of IoT applications, testing and deploying software solutions, and adhering to clean coding standards and technical design. Your proficiency in the software development life cycle, embedded systems programming, and relevant programming languages will be key in creating efficient and inventive IoT solutions. As an IoT Developer, you will be at the forefront of innovation, designing interconnected devices and systems that shape the future. Your expertise in embedded programming and hardware integration will drive the creation of cutting-edge solutions, collaborating closely with cross-functional teams to conceptualize, prototype, and deploy IoT projects that revolutionize industries and improve lives. Your role will involve designing and developing IoT applications and solutions for connected devices, enhancing products with sensors, implementing IoT protocols and communication standards, integrating sensors and devices into IoT ecosystems, and ensuring the security and scalability of IoT platforms. You will also be responsible for monitoring and troubleshooting IoT deployments, participating in product R&D, and ensuring market readiness. Additionally, you will gather and present data analysis and product updates to leadership and stakeholders, drive the technical design and maintenance of IoT applications, create support documentation, build resilient and scalable IoT software solutions, and introduce innovative concepts and solutions related to technology, algorithms, and IoT products. Staying current with IoT technologies and industry trends will be essential in this role. Skills Requirements: - Proficiency in IoT protocols and communication standards - Experience with hardware integration - Knowledge of IoT security practices - Development and maintenance of IoT platforms - Troubleshooting and monitoring IoT deployments - Practical knowledge of cloud platforms, wireless transmission, and algorithm development - In-depth understanding of sensor technology - Basics of user experience (UX) and user interface (UI) design - Expertise in coding and programming languages like JavaScript, Python, and Swift - Comfort with AI and machine learning - Commitment to product security and privacy - Experience with VMWare environments, AWS, Azure, networking, operating systems, and database SQL Good to Have: - Familiarity with Agile methodologies - Knowledge of version control systems Education: - Bachelor's degree in Computer, Electronics, Electrical, or a relevant field Job Types: Full-time, Permanent, Fresher Location Type: In-person Schedule: Day shift Education: Bachelor's (Preferred) Experience: - Total work: 1 year (Preferred) - IoT: 1 year (Preferred) Work Location: In person If you are excited about pushing boundaries in the Internet of Things and possess the skills and mindset we are looking for, we invite you to join our team and contribute to innovative IoT projects that make a difference.,

In the Worldwide Returns, ReCommerce & Sustainability (WW RR&S) group at Amazon, we are dedicated to making zero happen zero cost of returns, zero waste, and zero defects to benefit our customers, company, and environment. We are an agile and inclusive organization that constantly innovates to create long-term value by investing in our people and our planet, not simply focusing on the bottom line. WW R&R includes business, product, operations, data, and software engineering teams, who together manage the lifecycle of returned and damaged products. In WW R&R, you will partner across these teams to help customers discover great deals on quality used, rentals, and open box items; get the most value out of Amazon s products; improve the customer returns experience; and reduce defects, waste, and cost in reverse logistics processes. You will be a leader, a builder, and an owner, collaborating cross-functionally with technical, operations, and business teams to design scalable and automated solutions to customer problems. Amazon is Earth s most customer-centric company and in WW R&R, the Earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns, ReCommerce & Sustainability team! We are hiring an experienced Catalog Specialist to help us grow our business in innovative ways. In this role, you will work closely with our product, technology and science teams to support new Machine Learning (ML) models and data science classification algorithm development all helping to delight our customers through new experiences throughout their Amazon shopping journey. Need candidates in language proficiency in: Spanish, French, German, Italian. Work closely with our product, technology, and science teams to support Machine Learning (ML) models Perform data annotation required to train and evaluate ML models effectively Support data scientists in the development of classification algorithms Collaborate with cross-functional teams to ensure data annotation tasks align with project objectives and timelines Maintain high-quality standards for annotated data to optimize model performance Continuously evaluate and improve annotation processes to enhance efficiency and accuracy Strong analytical skills and the ability to deep-dive on complex problems Ability to manage multiple simultaneous projects requiring frequent communication, organization/time management and problem-solving skills Bachelors degree Speak, write, and read fluently in English Experience with Microsoft Office products and applications 1+ years of proven experience in data annotation and labeling for ML model training and evaluation Experience working on the MTurk platform for data annotation tasks Proven experience in data annotation and labeling for ML model training and evaluation Understanding of data annotation methodologies and tools Familiarity with Amazons product and category ecosystem Previous exposure to machine learning concepts and algorithms Demonstrated ability to adapt to evolving technologies and methodologies in the ML domain

Requisition #: 16743 Ansys is now a part of Synopsys. Synopsys, Inc. (Nasdaq: SNPS) accelerates technology innovation from silicon to systems. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Learn more at www.synopsys.com. Summary/Role Purpose The R&D Engineer II joins the Global CTO Office, contributes/leads the research, design and development of next-generation software products/support systems while working on innovative technologies including AI/ML/, System Engineering, MBSE (Model Based Systems Engineering), Digital Twins, IOT (Hardware/Software) etc. In this role, the R&D Engineer II will build on baseline expertise to execute and help in methodology plans, refine requirements and provide technical mastery in achieving development objectives. Specifically, this position is targeted to build and execute expert solutions including supporting new product ideas along Design Synthesis, Reasoning, Completion, and Verification of Systems along with development of full stack IOT solutions for digital twins. Given the novelty of work, the candidate may not come with explicit knowledge of these advanced domains but should have adequate knowledge of product engineering from conceptualization to validation and have inquisitiveness to delve and deliver in uncharted product/knowledge space incrementally. Key Duties and Responsibilities Contribute to implementing the research ideas via literature reviews, design ideas via systems thinking and development ideas via software building while working at the intersection of cutting edges technologies including AI/ML, System Engineering, MBSE, IOT etc. Develop, execute, document, and maintain programming and algorithmic best practices. Regression testing, Bug fixing. Operate with limited supervision as project lead, or software architect/developer. Contribute to consulting services, internal training on new capabilities. Minimum Education/Certification Requirements and Experience BS in Engineering in branches like Computer Science, Electronics, Electrical or related field with 2 years experience, MS with 1 years experience. Proficiency in at least one programming language. Proven track record of crafting robust and efficient code. Preferred Qualifications and Skills Familiarity with System Engineering/MBSE/AI/ML/IOT. Experience in Python programming, Algorithm development, Cloud technologies. Professional/Educational background in Electronics/Computer Science. Experience leading projects and delivering high-quality products in a large-scale commercial software development environment. Ability to overcome obstacles and drive projects to completion. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Ansys, part of Synopsys, we want talented people of every background to feel valued and supported to do their best work. We consider all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

At EY, you will have the opportunity to shape a career that reflects your uniqueness, supported by a global network, inclusive environment, and cutting-edge technology to help you reach your full potential. Your individual voice and perspective are vital in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a part in building a better working world for everyone. EY GDS's Tax Innovation, Solutions, and Technology (IST) group, along with the Tax Tech Transformation (TTT) team, is dedicated to developing, implementing, and integrating innovative technology solutions that cater better to our clients and engagement teams. As a member of EY's core Tax practice, you will gain in-depth tax technical knowledge and excel in database management, data analytics, and programming skills. The ever-evolving regulatory landscape demands tax departments to handle a vast amount of data more efficiently. Gathering, organizing, and analyzing data to meet complex regulations often involves data from various systems and departments within an organization. Managing this diverse and extensive data can be a significant challenge for companies. As part of EY's GDS IST and TTT teams, you will collaborate closely with partners, clients, and tax experts to develop and integrate technology solutions that enhance value, streamline processes, and equip clients with cutting-edge tools to support their tax needs. Your role will involve applying machine learning techniques to derive actionable insights, coding in Python and R, managing the end-to-end model development process, and designing systems to process large datasets for machine learning applications. You will also work on statistical methods, simulation models, and engage with stakeholders to understand business requirements and present solutions effectively. To excel in this position, you should have at least 2 years of overall experience, with hands-on expertise in Machine Learning and Artificial Intelligence tools like neural networks, deep learning, and regression. Proficiency in programming languages such as R and Python, along with experience in end-to-end ML projects, is essential. A Master's degree in Statistics/Mathematics or a Bachelor's/Master's degree in Science/Engineering/MCA is required for this role. Additionally, exposure to cloud platforms like Azure or AWS and strong communication skills are desirable qualities. EY offers a dynamic and global work environment where you can collaborate with diverse teams on exciting projects, develop new skills, and contribute to building a better working world. Join us at EY and be part of a forward-thinking team that values commercial acumen, technical expertise, and a passion for continuous learning in a fast-paced setting. You will have the opportunity to work with leading businesses across various industries and contribute to EY's mission of creating a better working world through trust, innovation, and inclusive practices.,

The Medical Imaging Technology team of Siemens Healthcare Technology Center in Princeton, NJ is seeking an experienced Chest Radiologist to contribute to the advancement of AI-based solutions in medical imaging. As a Chest Radiologist, you will bring your clinical expertise in thoracic imaging to collaborate with data scientists, AI engineers, and clinical teams in the development, validation, and deployment of AI-driven diagnostic tools. This role offers an exciting opportunity to be at the forefront of integrating clinical radiology with cutting-edge technology and shaping the future of AI in healthcare. Your responsibilities will include developing algorithms for automated detection, diagnosis, and quantification of thoracic diseases such as lung cancer, pneumonia, and interstitial lung disease in medical imaging. You will lead the clinical validation efforts for AI models, evaluate algorithm performance, ensure diagnostic accuracy, and compare AI outputs against radiologist interpretation. Providing expert annotations and guidance on chest imaging datasets to enhance AI model training and maintaining the quality and consistency of labeled datasets will be crucial aspects of your role. Collaborating with AI developers to refine algorithms, offering clinical feedback for improvement, and integrating AI solutions into radiology workflows will also be part of your responsibilities. To qualify for this position, you must hold a Doctor of Medicine (MD) degree with board certification in Diagnostic Radiology and have completed fellowship training in Chest or Thoracic Imaging. A minimum of 5 years of experience in chest imaging, particularly in diagnosing pulmonary and thoracic conditions, is required. Experience in AI development, clinical research, or advanced imaging techniques is highly desirable. Proficiency in AI applications in medical imaging, familiarity with automated segmentation, classification, and detection algorithms, as well as experience with AI platforms, machine learning models, and medical imaging software will be beneficial. Strong communication and collaboration skills are essential for effectively working in a multidisciplinary team environment. Join our team at Siemens Healthcare Technology Center and be a part of revolutionizing healthcare through the integration of clinical expertise and AI technologies in medical imaging.,

As an Embedded DSP Software Developer at Aptiv, you will have the opportunity to work in a challenging technical environment where science is transformed into real products. Join our high-performing Digital Signal Processing (DSP) team and be a part of developing radar signal processing software on a reusable platform environment. Your role will involve collaborating with cross-functional teams to support the development of radar systems for various generations and variants tailored for global customers. Key Responsibilities: - Design, develop, and optimize embedded software for radar signal processing on DSP processors and microcontrollers from leading vendors such as TI, NXP, and others. - Utilize C/C++ and MATLAB programming to develop, test, and optimize radar signal processing algorithms. - Develop and maintain Software-In-Loop (SIL) and Hardware-In-Loop (HIL) frameworks for software debugging and testing. - Conduct radar chamber and vehicle-level checkouts to validate software performance in real-world conditions. - Engage with global teams to adapt software solutions for different radar applications. Your Background: - Bachelors or Masters degree in Electrical Engineering, Computer Science, or related field. - 2-10 years of experience in embedded software development, particularly in the automotive domain. - Proficiency in C/C++ programming and MATLAB for algorithm development and simulation. - Experience working with DSP processors and microcontrollers from TI, NXP, and other industry-leading vendors. - Strong skills in software optimization and vectorization techniques. - Hands-on experience in developing and using SIL/HIL frameworks for software testing and debugging. - Knowledge of radar systems, signal processing, and integration of software with radar hardware. Why join us - Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity, or beliefs. - Safety is a core value at Aptiv, aiming for a world with Zero fatalities, Zero injuries, and Zero accidents. - Our team is our most valuable asset, and we provide resources and support for your family and health with a competitive health insurance package. Your Benefits at Aptiv: - Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development). - Life and accident insurance. - Well-Being Program that includes regular workshops and networking events. - Access to fitness clubs (T&C apply). Apply today to be a part of shaping the future of mobility with Aptiv!,

As a member of our global team in the Data Sciences organization, you will play a crucial role in establishing scientific excellence in the development of digital biomarkers and endpoints. Your primary responsibility will be leading the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. This will involve close collaboration with the Global Digital Health organization to design and validate algorithms extracting clinically relevant insights from various digital health data sources. Your expertise will ensure scientific rigor, clinical validity, and regulatory readiness in this process. In this role, you will be required to embed digital health technologies within evidence generation strategies, advocating for their acceptance in clinical trials and practice. Additionally, you will contribute to key regulatory filings and publications, promoting the adoption of digital endpoints within the global R&D community. Keeping abreast of emerging trends, you will integrate innovative solutions to enhance patient care and clinical research. Your leadership will be pivotal in driving transformation efforts that maximize the potential of Digital Health Technologies. To excel in this position, you should hold a PhD in a quantitative natural science or medical initiative with a focus on large-scale data analysis. A minimum of 7 years of relevant experience in the pharmaceutical or related industry is essential, along with a proven track record in designing and validating digital endpoints or biomarkers for clinical applications. Experience working with data from digital health technologies, familiarity with algorithm development, and deployment in clinical or real-world settings are also required. Furthermore, you should have expertise in digital biomarker/endpoint development, including psychometric and statistical validation, as well as a solid understanding of algorithm development, signal processing, and AI/ML methods as applied to digital health data. Strong stakeholder management skills, the ability to navigate matrixed organizations effectively, and excellent communication and scientific writing skills are crucial for success in this role. Join us in our mission to create access and opportunities for all to develop and grow at their own pace. Be a part of our inclusive and diverse team that is dedicated to sparking discovery and elevating humanity. Apply now and contribute to championing human progress with us!,

Eaton India Innovation Center is seeking a Chief Architect, Software in Pune. What you ll do: At Eaton India Innovation Center, the Center for Software Platforms and Products is currently seeking a Technical Leader to join our team! This position is based at our office in Magarpatta City, Pune. As the technical leader, you will provide leadership to global technology teams working on IoT and connected device solutions. You will contribute along with engineering leaders by setting priorities and goals, ensuring the achievement of deliverables and other milestones, collaborations with other teams, establishing a progressive work culture and improving standards in how we deliver for our customers. The ideal candidate will have experience in public cloud platforms, preferably Azure, embedded systems leveraging Linux and RTOS, mobile applications, web applications, AI/ML algorithm development, and deployment on Edge and Cloud platforms. The candidate should be passionate about technology, able to balance customer needs and application of new technologies to business problems, driven by success, and thrive in globally distributed team environments. Strong written and verbal communication skills are essential, along with the ability to manage multiple concurrent projects and adapt quickly to changing priorities. As a technology leader, the successful candidate will play an influential role in creating technology road maps based on global product strategies and Centers of Excellence. They will also deploy these strategies once approved by relevant stakeholders. Additionally, the Technical Leader will act as a technical mentor and expert reviewer across various domains, responsible for reviewing and approving design proposals based on requirements and presenting them to global stakeholders and internal/external customers. They will drive enhancement and development of technical capabilities within the teams to meet the present and future needs of the organization. Ability to create new/adajacent solutions/services in the IoT space in order to enhance the customer life time value of the products in the of Eaton portfolio Act as a technical mentor and expert tech reviewer in domain. Review and approve design proposals based on requirements/statement of work and present to stakeholders/customers Continuously develop and contribute to enhancing the technical capabilities of the teams to provide best in class design in line with present and future business needs Influencing role in the creation of technology road map based on Product/COE Strategy globally and deploy them within the group and build organization s capability Collaborate with internal and external stakeholders , ecosystem partners to enhance the value proposition and quality of the engineering deliverables Qualifications: Bachelor s of Master s degree in computer science or associated fields 18-25 years of experience in the software industry, including expertise in designing solutions with embedded systems (RTOS/Linux), cloud systems (Azure/AWS), web and mobile applications, and utilizing AI/ML capabilities. Solution architecture experience with IoT solutions is also beneficial. Skills: Proven solution architect skills for embedded systems and cloud solutions Expertise in design and implementation of embedded and cloud applications Comprehensive skills and knowledge in Azure/AWS services and Linux/RTOS Solid experience in the software industry with a proven track record of deploying high quality products Technical leader for globally distributed teams in products or platforms Proven expertise in software design and development Solid understanding of software design principles, algorithms, object-oriented design and use of design patterns, interfaces protocols Knowledge of Cybersecurity requirements and compliance Act as a technical mentor and expert tech reviewer in domain. Review and approve design proposals based on requirements/statement of work and present to stakeholders / customersContinuously develop and contribute to enhancing the technical capabilities of the teams to provide best in class design in line with present and future business needs Influencing role in the creation of technology road map based on Product/COE Strategy globally and deploy them within the group and build organization s capability Collaborate with internal and external stakeholders to enhance the value proposition and quality of the engineering deliverables. Community Building - Is good at building and driving a technical community focused on Software and Firmware development within EIIC. Innovation Leadership - Has a track record of concrete innovations at individual level and also has demonstrated capability to synthesize ideas from others for delivering customer value across functional domains including software. Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions, Probes all fruitful sources for answers to problems that may not be immediately visible and goes beyond obvious solutions to solve problems at the correct level in a comprehensive manner. Stakeholder Management - is able to effectively collaborate and drive decisions in a global environment working with leadership across the organization. Creativity - Comes up with a lot of new and unique ideas, easily makes connections among previously unrelated notions, tends to be seen as original and value-added in brainstorming settings Process Management - Good at figuring out the processes necessary to get things done, is aware of how to organize people and activities, Knows what to measure and how to measure it, can simplify complex processes, Gets more out of fewer resources Technical Learning - Picks up on technical things quickly, can learn new skills and knowledge, Is good at learning new industry, company, product, or technical knowledge like Internet technology, Does well in technical courses and seminars. Drive for results can be counted on to exceed goals successfully Motivating others creates a climate in which people want to do their best; empowers others; is someone people like working for and with. Decision quality makes good decisions based upon a mixture of analysis, wisdom, experience, and judgement. Peer relationships can quickly find common ground and solve problems for the good of all; can represent his/her own interests and yet be fair to other groups. Interpersonal savvy relates well to all kinds of people; builds appropriate rapport. Action oriented enjoys working hard; is action oriented and full of energy for the things he/she sees as challenging. Intellectual horsepower is intelligent; deal with concepts and complexity comfortably; described as intellectually capable, and agile. We are committed to ensuring equal employment opportunities for job applicants and employees. Our recruitment processes use balanced selection criteria and avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation or any other status protected or required by law.

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

As a Senior Engineer in our team, you will be responsible for designing, developing, and optimizing ADASISv2/v3 Map Processing Software for Advanced Driver Assistance Systems (ADAS). Your expertise in C++ and Python, along with algorithm development experience, will play a crucial role in ensuring compliance with ISO26262 functional safety standards in software development. Your key responsibilities will include implementing and testing algorithms for map processing, collaborating with cross-functional teams to integrate map processing software with other ADAS components, and conducting code reviews, debugging, and performance analysis. Your participation in system architecture design and adherence to high-quality software standards will be essential. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Proven experience in software development using C++ and Python, strong algorithm development skills, and familiarity with ISO26262 functional safety software development are required. Exposure to code quality tools such as Astree and Coverity, GIT, CI/CD platforms, and ADASIS protocol will be beneficial. Preferred qualifications include experience with automotive software development, embedded systems, knowledge of machine learning and artificial intelligence techniques applied to ADAS, and familiarity with relevant standards and protocols in the automotive industry. Join us for the opportunity to work on cutting-edge technology in the automotive industry, in a collaborative and innovative work environment. We offer a competitive salary and benefits package, along with professional growth and development opportunities. If you are passionate about developing high-quality software for ADAS and possess the required qualifications, we encourage you to apply for this exciting opportunity.,

You will be responsible for designing, developing, and optimizing ADASISv2/v3 Map Processing Software for ADAS applications. Your role will involve implementing and testing algorithms for map processing, ensuring compliance with ISO26262 functional safety standards in software development, collaborating with cross-functional teams for software integration, conducting code reviews and debugging for high-quality software delivery, and participating in system architecture design as per ASPICE standard. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with proven experience in software development using C++ and Python. Strong algorithm development skills, knowledge of ISO26262 functional safety software development, experience with code quality tools like Astree and Coverity, exposure to GIT and software development in CI/CD platforms, familiarity with ADASIS protocol and ADAS applications, as well as excellent problem-solving skills and attention to detail are essential for this role. Additionally, you should have the ability to work effectively in a collaborative team environment and possess strong communication skills, both written and verbal. Preferred qualifications include experience with automotive software development and embedded systems, familiarity with other relevant standards and protocols in the automotive industry, and knowledge of machine learning and artificial intelligence techniques applied to ADAS. By joining us, you will have the opportunity to work on cutting-edge technology in the automotive industry, be part of a collaborative and innovative work environment, receive a competitive salary and benefits package, and benefit from professional growth and development opportunities. If you are passionate about developing high-quality software for ADAS and possess the qualifications mentioned above, we welcome you to apply for this exciting opportunity.,

Job Overview: Cadence Design Systems is looking for a highly motivated software engineer to work with the R&D engineering team in the Digital & Signoff Group. R&D Software Engineering role in Physical Verification area is a multi-faceted position encapsulating a mix of physical verification software development, algorithm development, software debugging, performance optimization, accuracy analysis, GUI development and integration with layout/schematic editors. R&D engineers collaborate with a large team of EDA professionals across multiple geographical regions to create and deliver best in class next generation software for physical IC application. R&D engineers work on complicated applications and interface them with other applications in a large suite of highly connected modules to enable next-generation physical verification solutions with superior performance and usability. R&D engineers develop code that satisfies the requirements for successful semiconductor design deployment. As R&D Engineer you will be part of a team responsible for designing, developing, troubleshooting, debugging and supporting critical projects. You will have a chance to contribute to the main Physical Verification flows in EDA industry and your work will be visible through billions of electronic devices deployed worldwide. Job Responsibilities: As Lead Software Engineer, this person will be responsible for the following software engineering activities: Write code implementing product requirement specifications Write and maintain unit tests and other tests as needed for implemented features and enhancements Participate in code reviews. Work with PE (Product Engineering) and QPV (Quality Product Validation) to review code quality and coverage of requested functionality Provide code fixes as requested by bug tracking system This person should have personality & communication skills for working within the R&D group, and with cross functional groups, such as PE, QPV, CM This person should be able to work independently, being able to collaborate remotely with team members. Job Qualifications: 12+ years of C++ development using object-oriented methodology Understand algorithm complexity and data structures Be able to write and debug multithreaded applications Have good experience writing Qt-based applications (model-view is mandatory) Successful candidate should have the knowledge of LISP or Tcl. Educational Qualification: BE/BTech/ME/MTech in CS/ECE/EE or equivalent Additional Skills/Preferences: experience with physical verification schematic and layout design experience with SKILL programming object oriented design basics

About Us Join our dynamic team building cutting-edge automated trading systems. Youll collaborate with quants and engineers to turn models into live strategies, working end-to-end from data ingestion to execution. What You will Do Develop & Deploy : Build, optimize, and maintain high-performance trading algorithms in C/C++. Backtesting & Validation : Rigorously backtest strategies to ensure robustness under varied market conditions. Data Engineering : Design ETL pipelines for large market datasets (ticks, bars, fundamentals). Performance Tuning : Profile code, identify bottlenecks, and implement low-latency solutions. System Integration : Collaborate across teams to integrate trading systems with data feeds, order routers, and databases. Continuous Improvement : Stay current on market structure, trading technology, and best practices. What Were Looking For Experience : 3+ years in C++ development, with hands-on work in STL, multithreading/concurrency, and performance optimization. Design Patterns : Exposure to software design patterns (Understand object-oriented vs functional programming principles, inheritance, writing abstract, reusable, and modular code) Low-Latency Patterns: Experience building real-time or ultra-low-latency systems (zero-copy, busy-polling, high-resolution timers) Data Skills : Proficient in SQL and NoSQL database design and queries. Unit Testing: Proficient in C++ unit testing frameworks (Google Test, Catch2) with hands-on experience writing and maintaining comprehensive test suites. Problem Solver : Excellent debugging skills, attention to detail, and performance-oriented coding. Collaborator : Clear communicator comfortable in Agile environments. Nice to have : Prior algo-trading experience, cloud platforms (AWS/GCP/Azure).