80 Linear Algebra Jobs - Page 2

The position of Debt Strategic Analytics Analyst at Deutsche CIB Centre Pvt Ltd in Mumbai, India involves working within the Strategic Analytics Group to implement quant-driven analytics on a common platform at Deutsche Bank. The Strategic Analytics Group collaborates closely with onshore teams in New York, London, Frankfurt, and Singapore to meet functional and regulatory requirements aligned with specific business verticals. The primary focus of this role is on the Corporate Banking business of the bank, working in conjunction with strats teams and business desks in London and New York to deliver optimized solutions on a scalable platform. The candidate will be responsible for understanding business requirements, gathering necessary information, and implementing projects utilizing Python and C++ programming languages. Effective communication skills are essential to coordinate with stakeholders globally. The role entails various responsibilities, including implementing IRRBB regulatory requirements for Corporate Banking, developing frameworks for projecting Net Interest Income, identifying risk factors, conducting what-if scenarios, performing End of Day Risk and PnL calculations for Global Transaction Banking products, optimizing funding requirements, and institutional loan profiles based on deposits and regulatory requirements per region. Applicants are required to have strong programming skills in Object-Oriented Programming languages with at least 2 years of experience in the financial industry, knowledge of Data Structures & Algorithms, and experience working with relational databases like Oracle and Mysql. Quantitative skills in Probability, Calculus, and Linear algebra, along with familiarity with financial products and pricing/risk calculation, are preferred. Strong communication, presentation, problem-solving, and analytical skills are essential, with an inclination to learn Finance and econometrics on the job. A solid educational background in Engineering/Science from Tier 1 colleges in India is preferred. Deutsche CIB Centre Pvt Ltd offers a range of benefits, including best-in-class leave policies, gender-neutral parental leaves, flexible working arrangements, childcare assistance, Employee Assistance Program, comprehensive insurance coverage, and more. Additionally, the company provides training, coaching, and a culture of continuous learning to support career development and personal growth. Deutsche Bank Group fosters a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. The company values diversity, inclusivity, and fairness in the workplace, promoting a positive work environment for all individuals. Applicants are encouraged to visit the company's website for further information and to apply for this exciting opportunity in Debt Strategic Analytics.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

Key Responsibilities: Build and Drive the vision for the data platform and prepare a roadmap across Freecharge businesses. Working with business & product teams to understand and define the scope for data platform requirements and owning the requirements from data engineering product manager Helping in architecting and building real time and batch processing infrastructure for customer segmentation, hyper-personalization, AIML use cases etc. Conceptualizing scalable and efficient solutions for business and technical problems Demonstrating an advanced level of understanding of the technology stack, understanding the relevant product metrics and how your products interact with various businesses. Experience in proactive assessment of customer sentiments and taking appropriate measures using analytics and big data Exposure in working with with highly technical engineering team Defining and monitoring the KPIs for data platform being used across the organization for better customer experience and merchant sentiments Preferred Qualifications: 3-5 years as data platform product manager with experience in building data platforms or leading data architecture revamp programs Experience in working with cross functional teams spanning across product, growth, marketing, data analytics and data engineering teams. Ability to build consensus among stakeholders including the leadership team. Ability to grasp technical concepts quickly and communicate to a non-technical audience effectively. Strong execution capability paired with ability to envision and articulate a clear path to get there. B Tech/M Tech in Computer Science/ IT with experience in Spark, Hadoop, Scala, Java, segmentation, linear algebra etc

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomms Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools- Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/masters degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. 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 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.

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

Job Description: As an AI Gameplay Programmer at UBISOFT, you will be responsible for designing, implementing, and polishing AI behaviors within gameplay interaction systems. You will need to possess proficiency in C++, Scripting, and strong skills in AI technologies applied to video game programming. Good 3D mathematical skills are also required for this role. While having an interest in video games and knowledge of different consoles like Xbox One X/S, PlayStation 4, 5, and other cutting-edge game consoles would be advantageous, it is not a mandatory requirement. The ideal candidate should have a minimum of 3 years of experience in video game development as an AI Gameplay Programmer and should be familiar with AI Solver Algorithms & Decision-Making Techniques. Strong knowledge of Linear Algebra & 3D Math is essential, along with excellent debugging and problem-solving skills. You will be expected to take ownership of entire features and components of the game lifecycle, lead the product design, and code elements. Effective communication skills, attention to detail, accuracy, and commitment to maintaining high standards of work are crucial for this role. Working as part of the gameplay team, you will collaborate with other members and departments of the project team to deliver large and complex features on time and to a high standard. The role also involves coming up with tooling solutions for Technical Design, refactoring, and optimizing existing systems. Experience in developing character mechanics and animation-driven features, as well as knowledge of Animation State Machines, would be considered a plus. In addition to the technical requirements, you should have strong programming skills in C++, experience with Engine and Gameplay Development Processes, and an understanding of multi-threaded principles. You must be able to work efficiently with a large, existing code base and contribute improvements and suggestions throughout the entire production cycle. A positive "can-do" attitude, critical thinking, and problem-solving skills are essential qualities for this role. Join UBISOFT to be part of international collaboration game projects, work on AAA IPs, access cutting-edge hardware, and collaborate with proficient and fun-to-work-with colleagues. If you are excited about solving game-changing challenges, cutting-edge technologies, and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown.,

We have Urgent Requirement for experienced Mathematics, Physics, Chemistry, Biology, Computer Science, Statistics, Economics faculty members for high School Students. Requires excellent communication, presentation, and teaching skills. Faculty members are responsible for research, design, development, and teaching skills. Requires at least 3 plus years of teaching experience. Location : - Online

Qualcomm India Private Limited is seeking an experienced individual to join Qualcomms Engineering IT EDAAP team as an IT Programmer Analyst. The ideal candidate should have 7-10 years of experience in developing dashboards using reporting tools such as Tableau (Tableau API), Power BI, and OBIEE. As an independent contributor, you will be responsible for developing and sustaining enterprise level software applications. Your main tasks will include developing visualizations and dashboards with Tableau, strong knowledge of SQL, and test, debug, and performance tuning of dashboards and reports. You should have a fundamental understanding of object-oriented design, data structures, algorithms, and problem-solving. Additionally, you will be required to work in an agile development environment, translate ad hoc report requests into common dashboards, and have knowledge of different types of enterprise systems and their interactions within an enterprise. Experience working with Oracle, MySQL, and Postgres is essential. The willingness to multitask and work in a fast-paced environment, as well as taking ownership and driving tasks to completion, are key attributes for this role. Desirable skills include Python programming experience, developing dashboards with Power BI, exposure to Qlikview, OBIEE, and ThoughtSpot, experience in the semiconductor industry, and working with NoSQL databases such as MongoDB, as well as relational databases like MySQL and Oracle. To be considered for this position, you must have a Bachelor's degree in a technical discipline or equivalent experience. Qualifications required include 5 or more years of experience in applying AI and machine learning techniques to technology solutions, with a strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, PyTorch, Python, NLP, and Transformer architecture is essential, as well as experience in deploying LLMs and embedding models in production use cases. Preferred qualifications include a Bachelor's or Master's degree in computer science, Artificial Intelligence, Data Science, or a related field, experience in implementing end-to-end ML/NLP systems, working with transformer-based models, and experience in a distributed team and cloud environments. Minimum qualifications for this role include 4+ years of work experience in programming, scripting, and/or automation, or IT-relevant work experience with a Bachelor's degree, or 6+ years of work experience without a Bachelor's degree. Additionally, 2+ years of experience with Database Design structures, such as MongoDB and MySQL, is required. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm for assistance. Employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies, and individuals seeking a job at Qualcomm should apply directly through the Qualcomm Careers Site. For more information about this role, please contact Qualcomm Careers.,

Job Title: Mathematics Instructor Locations: Sonipat, Pune (On-site) Institution: Newton School of Technology Experience Required: 24 years (Academic or Industry in a Mathematics/Engineering context) Employment Type: Full-time, On-campus About Us Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines. Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure. Role Overview We are seeking a dynamic and motivated Mathematics Instructor to join our academic team at Newton School of Technology. The ideal candidate will have a solid foundation in Engineering Mathematics , strong teaching abilities, and a passion for mentoring B.Tech students in a high-impact academic environment. You will play a key role in curriculum design, classroom instruction, lab facilitation , and student mentoring , while also contributing to academic innovation and interdisciplinary collaboration. Key Responsibilities Course Design and Instruction Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including: Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization Tailor content delivery to match the academic level and learning pace of B.Tech students. Student Mentorship Guide and mentor students through their academic journey. Assist with assignments, projects, and concept reinforcement sessions. Lab and Application Integration Design and lead lab sessions using mathematical tools and software. Integrate theoretical concepts with real-world applications in computing and data science. Curriculum Development and Collaboration Continuously update course content in collaboration with faculty and industry experts. Align mathematical instruction with emerging fields such as AI, ML, Cryptography, and Data Analytics. Research & Innovation Encourage research-based learning and support students in academic or industry-driven research projects. Participate in faculty development and cross-disciplinary academic initiatives. Required Skills & Qualifications: Must-Haves: 2–4 years of teaching or industry experience involving Engineering Mathematics Deep understanding of core topics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization. Strong communication and conceptual clarity. Ability to engage students and simplify complex mathematical ideas. Commitment to academic excellence and student-centered learning. Good-to-Haves: Prior experience teaching B.Tech students in a classroom or lab setting. Familiarity with tools such as: Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib). Exposure to applied domains: AI/ML, Data Science, Cryptography. Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.) Perks and Benefits Competitive salary aligned with market standards. Access to state-of-the-art classrooms and mathematics labs. Involvement in cutting-edge curriculum and interdisciplinary learning. Opportunity to contribute to high-impact education in a mission-driven academic environment. Interview Process Round 1 – Technical Assessment: Conceptual test on core mathematics topics and teaching-oriented problem solving. Round 2 – Teaching Demonstration: Mock lecture to assess instructional ability, engagement, and clarity. Round 3 – Final Discussion: Interaction with institutional leadership to assess alignment, motivation, and cultural fit. Be a part of a bold academic mission to shape the next generation of technology leaders. To learn more, visit: Newton School of Technology

You will be an integral part of TuriyamAI's team, focused on developing and optimizing math libraries for AI applications on our next-generation AI hardware. Your role will involve collaborating with hardware and software developers to ensure seamless integration of math libraries, as well as staying updated with the latest advancements in AI and math library development. Additionally, you will be responsible for designing, optimizing, and validating math libraries to achieve hyper-optimized solutions for AI workloads. To excel in this position, you should possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Computer Engineering, or a related field, along with at least 5 years of proven experience in developing high-performance math libraries, preferably for AI applications. Experience with GPU or AI accelerator programming, familiarity with linear algebra, calculus, probability, and statistics libraries, as well as an understanding of HW architecture are key requirements for this role. Strong problem-solving skills, the ability to work in a fast-paced environment, and a willingness to learn new hardware architecture are also essential. Preferred qualifications include familiarity with machine learning frameworks such as PyTorch, knowledge of compiler technology fundamentals, kernel fusion techniques, assembly programming, and low-level optimizations. In return, TuriyamAI offers a competitive salary and benefits package, the opportunity to work on cutting-edge AI technology, a collaborative and dynamic work environment, as well as professional growth and development opportunities. If you are excited about the prospect of contributing to the future of AI computing and possess the required qualifications and experience, we invite you to submit your resume and a cover letter to careers@turiyamai.com.,

As a Senior Software Engineer at Procore's Product & Technology Team, you will play a crucial role in leading complex projects, providing technical guidance, and mentoring other engineers. Your focus will be on high-level design and architecture to ensure alignment with the organization's strategic goals. Collaborating with Product Managers, Designers, and fellow engineers, you will develop innovative features leveraging cutting-edge BIM 3D technology to address challenges in the construction industry. Your responsibilities will include: - Developing product features using Procore's BIM technologies - Setting standards for development teams and collaborating on initiatives with infrastructure and other software engineering teams - Designing and building systems and features aligned with Procore's technical vision of a service-oriented architecture - Contributing to code development for microservices, React front ends, and Rails apps - Driving innovation to meet the needs of enterprise and international customers - Collaborating with Engineering, Product, and UX teams to create user-centric solutions - Mentoring fellow engineers in best practices and assisting in delivering high-quality software The ideal candidate will have: - A Bachelor's Degree in Computer Science or a related field, or equivalent work experience - 5+ years of experience in Programming fundamentals, Test Driven Development, and Design principles (Golang, TypeScript) - Proficiency in frontend technologies such as HTML, CSS, React, Vue.js, or Angular - Strong understanding of RESTful API design, Golang, and databases like PostgreSQL - Experience in Service-Oriented Architecture and modern web development practices - Track record of designing solutions for technical challenges in large-scale projects - Experience in building Continuous Integration and Continuous Delivery systems - Familiarity with BIM, serverless frameworks, event streaming platforms, and automated testing frameworks At Procore, we value our employees and offer a comprehensive range of benefits to support your professional growth and well-being. You will have access to paid time off, healthcare coverage, career development programs, and more. Join us in building the software that constructs the world and be a part of a culture that encourages innovation and ownership of your work. If you are passionate about leveraging technology to revolutionize the construction industry, apply now to join our team of Groundbreakers in Pune. Take the next step in your career and contribute to creating solutions that make a meaningful impact.,

As a Python Developer, you will be responsible for leveraging your experience to build standard supervised (GLM ensemble techniques) and unsupervised (clustering) models using industry libraries such as pandas, sklearn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be crucial in this role. Your role will also involve significant experience in Python, encompassing tasks such as writing unit tests, developing packages, and crafting reusable and maintainable code. An essential aspect of your responsibilities will be the ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and tableau. Experience with continuous integration/development tools like Jenkins and Spark ML pipelines will be advantageous. We are looking for a self-starter who not only excels individually but also collaborates effectively with colleagues, bringing innovative ideas to enhance our collective mindset. For the ideal candidate, possessing an advanced degree with a strong foundation in the mathematical principles underpinning machine learning, such as linear algebra and multivariate calculus, would be a significant advantage. Additionally, expertise in specialized areas like reinforcement learning, NLP, Bayesian techniques, or generative models would be highly valued. Your ability to effectively present ideas and analytical findings in a compelling manner that influences stakeholders will be a key aspect of this role. Demonstrated experience in developing analytical solutions within an industry context and a genuine passion for utilizing data science ethically to enhance customer-centricity in financial services will set you apart. If you are ready to contribute to a dynamic team by applying your Python development skills and data science expertise to drive impactful solutions in the financial services sector, we encourage you to explore this opportunity further.,

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,

Design and develop real-time AI algorithms for drone use-cases and applications. Process and analyze datasets for AI model training and validation. Develop and evaluate models for computer vision applications. Work with hardware engineers, software developers, and data scientists for integrating AI functionalities into drone applications. Optimize algorithms for real-time processing on edge devices, such as NVIDIA Jetson platforms, to deliver low-latency, high-performance solutions. Continuously research and stay up-to-date with the latest advancements in computer vision and AI technologies to identify new opportunities for product improvement and innovation.. Desired Skills: Strong foundation in linear algebra, probability, statistics, and optimization. Proficiency in Python, C, C++, and AI frameworks (e.g., TensorFlow, PyTorch, OpenCV). Expertise in image processing, feature extraction, object detection, and recognition. Experience with supervised/unsupervised learning, deep learning, and reinforcement learning. Strong software engineering skills, including code optimization and version control (Git). Excellent analytical and problem-solving skills.. Effective collaboration and communication skills. Proactive mindset and passion for innovation. Qualification : Bachelors or Masters degree in Computer Science or any other relevant specialization. Number of openings : 02

Job Summary We are seeking a highly skilled and mathematically grounded Machine Learning Engineer to join our AI team. The ideal candidate will have 5+ years of ML experience with a deep understanding of machine learning algorithms, statistical modeling, and optimization techniques, along with hands-on experience in building scalable ML systems using modern frameworks and tools. ________________________________________ Key Responsibilities Design, develop, and deploy machine learning models for real-world applications. Collaborate with data scientists, software engineers, and product teams to integrate ML solutions into production systems. Understand the mathematics behind machine learning algorithms to effectively implement and optimize them. Conduct mathematical analysis of algorithms to ensure robustness, efficiency, and scalability. Optimize model performance through hyperparameter tuning, feature engineering, and algorithmic improvements. Stay updated with the latest research in machine learning and apply relevant findings to ongoing projects. ________________________________________ Required Qualifications Mathematics & Theoretical Foundations Strong foundation in Linear Algebra (e.g., matrix operations, eigenvalues, SVD). Proficiency in Probability and Statistics (e.g., Bayesian inference, hypothesis testing, distributions). Solid understanding of Calculus (e.g., gradients, partial derivatives, optimization). Knowledge of Numerical Methods and Convex Optimization. Familiarity with Information Theory, Graph Theory, or Statistical Learning Theory is a plus. Programming & Software Skills Proficient in Python (preferred), with experience in libraries such as: o NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn Experience with deep learning frameworks: o TensorFlow, PyTorch, Keras, or JAX Familiarity with ML Ops tools: o MLflow, Kubeflow, Airflow, Docker, Kubernetes Experience with cloud platforms (AWS, GCP, Azure) for model deployment. Machine Learning Expertise Hands-on experience with supervised, unsupervised, and reinforcement learning. Understanding of model evaluation metrics and validation techniques. Experience with large-scale data processing (e.g., Spark, Dask) is a plus. ________________________________________ Preferred Qualifications Masters or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Publications or contributions to open-source ML projects. Experience with LLMs, transformers, or generative models. Remote (Chennai - possible to travel Chennai for meetings)

As a PySpark Data Engineer, you must have a minimum of 2 years of experience in PySpark. Strong programming skills in Python, PySpark, and Scala are preferred. It is essential to have experience in designing and implementing CI/CD, Build Management, and Development strategies. Additionally, familiarity with SQL and SQL Analytical functions is required, along with participation in key business, architectural, and technical decisions. There is an opportunity for training in AWS cloud technology. In the role of a Python Developer, a minimum of 2 years of experience in Python/PySpark is necessary. Strong programming skills in Python, PySpark, and Scala are preferred. Experience in designing and implementing CI/CD, Build Management, and Development strategies is essential. Familiarity with SQL and SQL Analytical functions and participation in key business, architectural, and technical decisions are also required. There is a potential for training in AWS cloud technology. As a Senior Software Engineer at Capgemini, you should have over 3 years of experience in Scala with a strong project track record. Hands-on experience in Scala/Spark development and SQL writing skills on RDBMS (DB2) databases are crucial. Experience in working with different file formats like JSON, Parquet, AVRO, ORC, and XML is preferred. Previous involvement in a HDFS platform development project is necessary. Proficiency in data analysis, data profiling, and data lineage, along with strong oral and written communication skills, is required. Experience in Agile projects is a plus. For the position of Data Modeler, expertise in data structures, algorithms, calculus, linear algebra, machine learning, and modeling is essential. Knowledge of data warehousing concepts such as Star schema, snowflake, or data vault for data mart or data warehousing is required. Proficiency in using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models is necessary. Hands-on knowledge and experience with tools like PL/SQL, PySpark, Hive, Impala, and other scripting tools are preferred. Experience with Software Development Lifecycle using the Agile methodology is essential. Strong communication and stakeholder management skills are crucial for this role. In this role, you will design, develop, and optimize PL/SQL procedures, functions, triggers, and packages. You will also write efficient SQL queries, joins, and subqueries for data retrieval and manipulation. Additionally, you will develop and maintain database objects such as tables, views, indexes, and sequences. Optimizing query performance and troubleshooting database issues to improve efficiency are key responsibilities. Collaboration with application developers, business analysts, and system architects to understand database requirements is essential. Ensuring data integrity, consistency, and security within Oracle databases is also a crucial aspect of the role. Developing ETL processes and scripts for data migration and integration are part of the responsibilities. Documenting database structures, stored procedures, and coding best practices is required. Staying up-to-date with Oracle database technologies, best practices, and industry trends is essential for success in this role.,

You will work on designing, developing, and integrating calibration software modules for wireless communication systems with multiple antennas. Your main focus will be on layer 1 functionality of the proprietary 5G protocol, including tasks such as channel estimation, IQ imbalance correction, and LO leakage cancellation. Your responsibilities will include designing and developing scalable PHY/Calibration software modules on multi-core DSP/GPP using C/C++, defining and developing unit test vectors using Matlab and C++, testing and validating the performance of the software modules on the real system, and developing scripts to qualify the RF board testing. To be successful in this role, you should have an MS or PhD in Electrical Engineering/Computer Science with a specialization in wireless communication and/or digital signal processing, along with 5-12 years of industry experience in DSP software development for wireless communication systems. You should also have a formal understanding of communication and signal processing theory and techniques, with a strong mathematical background in linear algebra. Experience in areas such as array signal processing, physical/MAC/baseband layer software implementation for LTE/5G, adaptive equalization, receiver synchronization, and signal identification and recovery is required. Additionally, proficiency in C, C++, and Python programming, as well as experience with version control systems and collaboration tools, is necessary for this role. You will collaborate closely with L2/L3 software groups and FPGA/ASIC teams to deliver cross-layer features and contribute to the development of next-generation fixed wireless broadband systems. If you are a problem solver with a passion for innovation and customer obsession, and want to make a real difference in the world, we encourage you to apply now.,

We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: - Develop and implement machine learning models, offline batch models as well as real time online and edge compute models - Analyze complex datasets and extract meaningful insights to drive business decisions - Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches - Communicate findings and recommendations to stakeholders effectively Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field - 3+ years of experience in a Data Scientist role - Strong proficiency in Python and SQL - Solid understanding of machine learning algorithms and statistical modeling techniques - Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms - Hands-on experience implementing and deploying machine learning algorithms - Experience with data visualization tools and techniques - Strong analytical and problem-solving skills - Excellent communication skills, both written and verbal Preferred Qualifications: - Experience with PySpark and other big data processing frameworks - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: - Programming LanguagesPython (required), SQL (required), Java (basic knowledge preferred) - Machine LearningStrong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision - Big DataDeep knowledge of PySpark - Data Storage and RetrievalFamiliarity with databases/mlflow preferred - MathematicsStrong background in statistics, linear algebra, and probability theory - Version ControlGit Soft Skills: - Excellent communication skills to facilitate interactions with stakeholders - Ability to explain complex technical concepts to non-technical audiences - Strong problem-solving and analytical thinking - Self-motivated and able to work independently as well as in a team environment - Curiosity and eagerness to learn new technologies and methodologies We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Research and develop quantum algorithms Work with Qiskit for simulation and experimentation Collaborate with R&D teams on quantum computing projects Required: IBM Qiskit Developer Certifications

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Does innovative-thinking describe you? Then you may be our next Lead Data Scientist. In this role youll be the Dumbledore to our team of wizards - our junior data scientists. You will be responsible for transforming scattered pieces of information into valuable data that can be used to achieve goals effectively. You will extract and mine critical bits of information and drive insightful discussions that result in app innovations. What you will do Own and deliver solutions across multiple charters by formulating well-scoped problem statements and driving them to execution with measurable impact Mentor a team of data scientists (DS2s and DS3s), helping them with project planning, execution, and on-call issue resolution Design and optimize key user journeys (e.g., Reseller Experience, Search, Fraud Systems) by identifying user intents and behavioral patterns from large-scale data Collaborate with machine learning engineers and big data teams to build scalable ML pipelines and improve inference performance Continuously track and improve model performance using state-of-the-art (SOTA) techniques and libraries Lead experimental design for usability improvements and user growth, leveraging statistical rigor Contribute to system-level thinking by enhancing internal tools, frameworks, and libraries to improve team efficiency and code quality Partner with engineering to ensure data reliability, compliance with security/PII guidelines, and integration of models into production systems Proactively explore new areas of opportunity through research, data mining, and academic collaboration, including publishing and attending top-tier conferences Communicate findings, plans, and results clearly with DS, product, and tech stakeholders, and create technical documentation consumable by both DS and engineering teams Conduct research collaborations with premier colleges and universities Attend conferences and publish research papers What you will need A Bachelor's degree in Computer Science, Data Science, or a related field; a Masters is a plus 6--8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market. But wait theres more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting Summer of 69 at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ?? About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About the Role Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist. In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers. What you will do Develop models and run experiments to infer insights from hard data Improve our product usability and identify new growth opportunities Understand reseller preferences to provide them with the most relevant products Designing discount programs to help our resellers sell more Help resellers better recognise end-customer preferences to improve their revenue Use data to identify bottlenecks that will help our suppliers meet their SLA requirements Model seasonal demand to predict key organisational metrics Mentor junior data scientists in the team What you will need Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scientist in a fast-paced organization, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analytical skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalization or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice