4 Optimization Theory Jobs

As a Senior AI Researcher at PureCode Software, you will be a key member of our engineering team based in Hyderabad, India. You will play a crucial role in various software projects revolving around computer vision and AI/ML technologies. PureCode Software has developed a groundbreaking developer tool that leverages Computer Vision and Artificial Intelligence to transform software design images into functional ReactJS code efficiently. Our product has received a significant investment of $2 million USD from a prestigious Silicon Valley venture capitalist, indicating our potential for growth and innovation. Your responsibilities will include conducting research to address challenges in zero-shot code generation for webUI design/screenshot images, exploring cutting-edge large language and multimodal models, and staying updated with developments in deep learning and computer vision. Additionally, you will curate annotated data, execute various Computer Vision tasks, and enhance existing models or develop new algorithms to automate web development processes effectively. The ideal candidate for this role should have at least 5 years of experience in Computer Vision and Machine Learning, with expertise in model compression and inference optimization. Proficiency in linear algebra, optimization theory, and probability theory is essential, along with familiarity with Transformers, generative Diffusion models, and deep learning frameworks such as Keras, Tensorflow, Caffe, and Pytorch. You should possess strong coding skills in C/C++ and Python, enabling you to research, prototype, and implement algorithms for web applications. Preferred qualifications include a Master's or PhD in Computer Science with a focus on computer vision/deep learning or equivalent industrial research experience. Previous experience with shipped products and knowledge of web development tools are advantageous. In return for your contributions, PureCode Software offers a competitive salary and benefits package, a culture dedicated to talent development with biannual promotion cycles and company-sponsored certifications, exposure to cutting-edge technologies, the opportunity to earn company stock options, as well as various insurance coverage including health check-ups, group term life insurance, personal accident insurance, and mediclaim hospitalization insurance for self, spouse, children, and parents. If you are passionate about AI research and web development automation, we invite you to apply for the Senior AI Researcher position at PureCode Software by sending your resume to njalla@purecodesoftware.com or applying through our website.,

At Yuja, a highly scalable and modular platform for on-demand shared mobility and last-mile connectivity is being developed. The development process involves various dimensions, providing a unique opportunity to work on deep tech solutions. The tech stack includes IoT devices for smart shared services, ML and data workflows, user experiences, and a focus on accessibility. Original thinking, experimentation, and measurable product development are emphasized. As a role at Yuja, you will be responsible for understanding product use cases and developing workflows for ML-driven features. This includes developing and maintaining dynamic ML models, ML-oriented testing procedures, algorithm research, and development. You will plan data collection programs, conduct model testing, and system feature testing. Additionally, deploying real-time algorithms, heuristics, and ML models, integrating ML workflows with other system components, and building reusable code are part of the role. Participation in DevOps and MLOps workflows, as well as managing internal or external resources, is required. The applications of ML/AI at Yuja span multiple domains such as time-series problems, agent-based modeling, image processing, contextual text generation, and recommendation. Highlighting your core experience in ML/AI in your application submission or resume is essential. Basic qualifications include a B.E./B.Tech. in Computer Science or related fields with experience in machine learning, image and signal processing, or statistics. Strong knowledge of probability theory, statistics, calculus, vector algebra, and ML algorithms is required. Proficiency in Python, data structures, algorithms, and ML pipeline is necessary. Experience with AWS/GCP ML stack, industry-standard ML frameworks, databases, and excellent communication skills are also key requirements. Preferred qualifications include exposure to GIS, graph theory, agent-based modeling, optimization theory, MLOps tools, spatial data analysis, containerization, and data visualization. The job type is full-time and permanent with a requirement to commute/relocate to Ahmedabad, Gujarat. Applicants should have 2+ years of experience, with education at the Bachelor's level. The application deadline is 07/03/2025, and the expected start date is 17/03/2025.,

The position of S&C Global Network - AI - T&O - Human Capital Analytics Analyst located in Kolkata, KDC1A falls under Management Level 11. The primary skill required for this role is Human Capital Analytics, with additional skills in leveraging design thinking, business process optimization, and stakeholder management being beneficial. As a Human Capital Analytics Analyst, you will be responsible for driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. Joining the Data & AI practice at S&C GN, you will collaborate with a global network of skilled professionals experienced in leading statistical tools and applications. Your responsibilities will include developing advanced statistical models for HR Analytics solutions, utilizing Python programming for efficient model creation, and leveraging ML and Data Science skills like Deep learning, TensorFlow, and Time Series Forecasting. Furthermore, you will be expected to architect scalable dashboards, communicate analytical insights effectively, and maintain strong client relationships. Your role will also involve collaborating with diverse teams, adapting within an agile environment, and utilizing mathematical concepts and industry knowledge to resolve complex issues creatively. The ideal candidate for this position should hold a Master's degree in Economics, Statistics, Mathematics, or Engineering, with at least 5+ years of experience in the Analytics domain and 2-3 years in People/Human analytics. Strong problem-solving skills, communication abilities, and leadership experience are essential, along with knowledge of predictive analytics, machine learning, or statistical modeling. Additional skills in PySpark/PyTorch framework, Data Governance, Cloud Integrations, and Change Management are appreciated. Experience with HTML 5/js, Optimization Theory, and People Analytics Consulting is considered a bonus. This role offers an opportunity to work on innovative projects, with potential for career growth and leadership exposure within Accenture.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less