9 Optimization Methods Jobs

About SiFive SiFive is at the forefront of introducing RISC-V to the global landscape, revolutionizing the future of computing by harnessing the boundless potential of RISC-V for the most high-performance and data-intensive applications worldwide. SiFive's unparalleled computing platforms are empowering leading technology firms across diverse market segments such as artificial intelligence, machine learning, automotive, data center, mobile, and consumer electronics to innovate and deliver cutting-edge solutions. With SiFive, the horizon of possibilities with RISC-V knows no bounds. At SiFive, we are enthusiastic about engaging with individuals who share our zeal for driving innovation and making a difference in the world. Our continuous innovation and sustained success stem from our exceptional teams of highly talented individuals who collaborate and support each other to conceive truly revolutionary ideas and solutions. These solutions are poised to significantly impact people's lives, contributing to making the world a better place, one processor at a time. Are you prepared for the challenge To delve deeper into SiFive's remarkable accomplishments and discover why we have been honored with the GSAs prestigious Most Respected Private Company Award (for the fourth consecutive time!), please explore our website and Glassdoor pages. Role: As a UPF power engineer at SiFive, you will collaborate with the Power Management Architect on feasibility studies. Your key responsibilities will include driving UPF methodology across frontend and backend teams for power intent and verification. Additionally, you will be tasked with supporting customers on UPF-related queries, collaborating with Platform engineering teams to devise scalable solutions for various design configurations. Responsibilities: - Drive UPF/CPF implementation, power/voltage domains, and power gating methodologies while working closely with the power management team. - Participate in low power design, drafting UPF, and verifying power intent at the chip level. - Engage in ASIC design flows and methodologies encompassing RTL, verification, synthesis, and static timing analysis (STA). - Collaborate with EDA vendors and tools team to establish new power methodologies, automate UPF generation, and conduct low power analysis. Required Skills: - Possess 2+ years of relevant experience. - Proficiency in Synopsys Verdi, Verdi UPF, and synthesis UPF. - Experience with power-aware simulations such as VCS/NLP or equivalent. - Familiarity with low power design implementation including UPF/CPF, multi-voltage domains, and power gating. - Knowledge of power intent definition, implementation, and verification flows. - Comprehensive understanding of ASIC design flows and IP design flows. - Strong scripting and programming skills in Python, Perl, or TCL languages. - Acquainted with power analysis and optimization methods. In this position, you will be required to undergo successful background and reference checks and provide satisfactory proof of your eligibility to work in India. Any offer of employment is subject to the Company's verification of your authorization for access to export-controlled technology under applicable export control laws or, when necessary, the successful acquisition of any essential export license(s) or approvals. SiFive is an equal opportunity employer. We value diversity and are dedicated to fostering an inclusive environment for all our employees.,

You will be joining Dark Matter Technologies, a company leading the tech-driven revolution in loan origination with cutting-edge AI and origination technology solutions. As a Senior Data Scientist, your role will involve building machine learning models, using various algorithms for regression, prediction, and deep learning. You will be responsible for identifying data sources, analyzing data, writing machine code in Python (or Azure ML), and creating models. The job location is in Hyderabad and Bhubaneswar. Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions. To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases. Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous. You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,

As an experienced professional in the field of machine learning, you will be responsible for applying machine learning techniques such as Natural Language Processing and Computer Vision using tools like TensorFlow and Pytorch. Your strong analytical and problem-solving skills will be crucial in building and deploying end-to-end machine learning models to support predictions, recommendations, search, and growth strategies. You will be expected to have solid software engineering skills in languages like Java, Python, and C/C++. Your expertise in ML techniques including classification, clustering, deep learning, and optimization methods will enable you to develop and debug machine learning models effectively. Additionally, you will establish scalable, efficient, and automated processes for data analyses, model development, validation, and implementation. In your role, you will need to choose suitable deep learning algorithms, software, hardware, and integration methods. It is essential to ensure that AI ML solutions are developed and validated in accordance with Responsible AI guidelines & Standards. You will be responsible for closely monitoring model performance and implementing improvements post-project delivery. As a Squad Lead of the AI ML Delivery team, you will lead the squad in delivering AIML solutions. Understanding business requirements, executing ML solutioning, and ensuring timely delivery commitments are key aspects of your role. You will design and deliver AI ML use cases, oversee model validation and improvements, and manage stakeholder relationships effectively. Your responsibilities will include risk management, governance, and compliance with regulatory frameworks. Additionally, you will manage the team, review models, and nurture talent as required. It is crucial to work collaboratively with various teams to design, code, train, test, deploy, and iterate on enterprise-scale machine learning systems. To be successful in this role, you should have a Master's degree with a specialization in Technology and certification in AI and ML, along with 4-8 years of hands-on experience in developing and delivering AI solutions. Stakeholder management skills, strong communication abilities, and a proactive attitude are essential for this position. Join us at Standard Chartered, where you will have the opportunity to work in an international bank that values diversity and inclusion. If you are looking for a purpose-driven career and want to contribute to making a positive difference, we encourage you to apply. We offer a supportive work environment, continuous learning opportunities, and flexible working options to help you grow both personally and professionally.,

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and promoting a belonging mindset in the workplace. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events. What you&aposll do... About Team: Our team is focused on leveraging latest research in generative AI, machine learning (ML), statistics, deep learning, computer vision and optimization to reshape how our customers interacts with our search and making it frictionless for them to get what they want. We help bring a seamless experience irrespective of how and where customers engage with us - while shopping online and picking groceries at stores. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores, and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will revolutionize customer experience, from finding the product to delivering it to the customer. We are building state-of-the-art machine learnt systems using cutting edge technology that has ability to A/B test in fast iterations, use GPU/CPU based online inferencing of deep learnt and traditional models and event driven architecture. This will span multi markets, business models and form factors, therefore, we are looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate. Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs benefits our operations & our associates, helping Customers Save Money to Live Better. What you&aposll do: As a Principal ML Engineer for Walmart Global Tech, youll have the opportunity to : Apply and/or develop statistical modeling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques. Develop efficient and scalable models at Walmart scale. Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems. Define and/or own the model goodness metrics and track the business impact over time. Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future. Identify, develop, and deliver improvements on data performance, data quality and cost, which needs to be monitored and analyzed Lead and inspire a team of scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art Build a strong external presence through publishing your teams work in top-tier AI/ML conferences and developing partnerships with academic institutions What you&aposll bring: Qualifications PhD with >10+ years of relevant experience / 4-year bachelors degree with > 14+ years of experience / Masters degree with > 12+ years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline. Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research. Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry. Mentor peers and junior members and handle multiple projects at the same time. Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the labs environment. Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT Participate and speak at various external forums such as research conferences and technical summits. Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. Good to have: Recommender Systems experience, Deep learning as applied in computer vision, Experience with LLMs, Ecommerce domain. About Walmart Global Tech: Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity expert&aposs and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor&aposs degree in computer science, computer engineering, computer information systems, software engineering, or related area and5 years experience in software engineering or related area. Option 2: 7 years experience in software engineering or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Masters degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area. Primary Location... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2273921 Show more Show less

As a Senior Associate in data and analytics at PwC, you will focus on leveraging data to drive insights and assist clients in making informed business decisions. Your role involves utilizing advanced analytics techniques to extract valuable insights from large datasets, enabling data-driven decision-making for clients. Your expertise in data manipulation, visualization, and statistical modeling will be crucial in supporting clients to solve complex business problems effectively. In this position, you will grow as a strategic advisor by leveraging your influence, expertise, and network to deliver quality results. You will motivate and coach others, collaborating to solve intricate problems. As you progress, you are expected to demonstrate sound judgment, knowing when to take action and when to escalate issues. Your ability to navigate through complexity, ask insightful questions, and communicate effectively will be essential in delivering comprehensive solutions. To succeed in this role, you should possess deep experience in supply chain analytics, specifically in demand forecasting and inventory optimization. Expertise in using Palantir Foundry for building data science models and enhancing supply chain decisions is a must. Your skills in implementing data governance and security best practices within Palantir Foundry will be critical for generating reliable insights. Candidates with 4+ years of hands-on experience are preferred for this role, and the required skills include proficiency in optimization methods, forecasting methodologies, machine learning models, statistics, data preparation, and feature engineering. Strong programming skills in Python, PySpark, and SQL are necessary, along with knowledge of supply chain KPIs and planning systems. Experience with integrating analytics models into enterprise workflows is also beneficial. As a Senior Associate, your responsibilities will include leading the development and deployment of supply chain analytics use cases within the Palantir Foundry platform. You will collaborate with business stakeholders and data engineers to model complex supply chain processes, develop scalable pipelines, and ensure data quality and compliance within Foundry's integrated environment. Coaching junior team members on best practices for Palantir Foundry implementations and driving analysis using advanced analytics tools are also part of your role. A professional and educational background in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/Masters Degree/MBA from a reputed institute will be advantageous for this position. Your ability to craft clear and impactful messages, apply systems thinking, and validate outcomes with clients will be crucial in delivering value at this level. Continuous learning and evolving expertise, along with effective communication and client management skills, will further enhance your success in this role at PwC.,

The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. We work with our clients to figure out how to implement the answers, faster. As an Assistant Manager, you will be responsible for understanding client objectives and collaborating with the Project Lead to design effective analytical frameworks. You should translate requirements into clear deliverables with defined priorities and constraints. Your responsibilities will include managing data preparation, performing quality checks, and ensuring analysis readiness. You will implement analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN. It is important to perform sanity checks and quality control of your own work as well as that of junior analysts to ensure accuracy. The ability to interpret results in a business context and identify actionable insights is critical. You will handle client communications independently and interact with onsite leads, discussing deliverables and addressing queries over calls or video conferences. Managing the entire project lifecycle from initiation to delivery, ensuring timelines and budgets are met, translating business requirements into technical specifications, managing data teams, ensuring data integrity, and facilitating clear communication between business and technical stakeholders will also be part of your role. Leading process improvements in analytics and acting as project leads for cross-functional coordination are expected. In terms of technical requirements, you must be proficient in connecting databases with Knime (e.g., Snowflake, SQL) and understand SQL concepts such as joins and unions. You should be capable of reading/writing data to and from databases, using macros and schedulers to automate workflows, designing and managing Knime ETL workflows to support BI tools, and ensuring end-to-end data validation and documentation. Proficiency in PowerBI is required for building dashboards and supporting data-driven decision-making. Leading analytics projects using PowerBI, Python, and SQL to generate insights, visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is essential. The ideal candidate should have at least 4-7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is acceptable. Skills in handling large datasets using Python, R, or SAS, working with multiple analytics or machine learning techniques, client interactions, and working independently are expected. A good understanding of consumer sectors such as Retail, CPG, or Telecom is essential. Experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark on-prem or in the cloud is required. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting (e.g., ARIMA), and other ML models is necessary. Strong written and verbal communication skills are essential for creating client-ready deliverables using Excel and PowerPoint. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications required include Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities, and MBA from top tier B-schools.,

The Smart Cube, a WNS company, is seeking Assistant Managers who will collaborate with the Project Lead to design effective analytical frameworks aligned with client objectives. The Assistant Managers will translate requirements into clear deliverables, manage data preparation, perform quality checks, and ensure analysis readiness. They should possess expertise in implementing analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN. Additionally, they are responsible for sanity checks, quality control, and interpreting results in a business context to identify actionable insights. Assistant Managers will independently handle client communications, interact with onsite leads, and manage the entire project lifecycle from initiation to delivery. This includes translating business requirements into technical specifications, overseeing data teams, ensuring data integrity, and facilitating communication between business and technical stakeholders. They will lead process improvements in analytics and act as project leads for cross-functional coordination. In terms of client management, Assistant Managers will serve as client leads, maintain strong relationships, participate in deliverable discussions, and guide project teams on execution strategies. Proficiency in connecting databases with Knime, understanding SQL concepts, and designing Knime ETL workflows to support BI tools is required. They must also be proficient in PowerBI for building dashboards and supporting data-driven decision-making. Knowledge of leading analytics projects using PowerBI, Python, and SQL to generate insights is essential. Ideal candidates should have 4-7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is also acceptable. Proficiency in handling large datasets using Python, R, or SAS, and experience with multiple analytics or machine learning techniques is required. Candidates should have a good understanding of consumer sectors such as Retail, CPG, or Telecom, and experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark. Strong written and verbal communication skills are essential for creating client-ready deliverables using Excel and PowerPoint. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting, and other ML models is also necessary. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications: - Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities - MBA from top tier B-schools,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Utilizing advanced analytics techniques to help clients optimize their operations and achieve strategic goals is key. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling play a crucial role in supporting clients in solving complex business problems. Candidates with 4+ years of hands-on experience are sought for the position of Senior Associate in supply chain analytics. Successful candidates should possess proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design. Additionally, hands-on experience working on optimization methods like linear programming, mixed integer programming, and scheduling optimization is required. Proficiency in forecasting techniques and machine learning techniques, along with a strong command of statistical modeling, testing, and inference, is essential. Familiarity with GCP tools like BigQuery, Vertex AI, Dataflow, and Looker is also necessary. Required skills include building data pipelines and models for forecasting, optimization, and scenario planning, strong SQL and Python programming skills, experience deploying models in a GCP environment, and knowledge of orchestration tools like Cloud Composer (Airflow). Nice-to-have skills consist of familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools, as well as strong communication and stakeholder engagement skills at the executive level. The roles and responsibilities of the Senior Associate involve assisting analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions. They are expected to interact with and advise consultants/clients as subject matter experts, conduct analysis using advanced analytics tools, and implement quality control measures for deliverable integrity. Validating analysis outcomes, making presentations, and contributing to knowledge and firm building activities are also part of the role. The ideal candidate should hold a degree in BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA from a reputed institute.,

Job ID: 21570 Location: Chennai, IN Area of interest: Technology Job type: Regular Employee Work style: Office Working Opening date: 27 Mar 2025 Job Summary Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Key Responsibilities Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Groups Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Banks Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] * Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. [Insert local regulator e.g. PRA/FCA prescribed responsibilities and Rationale for allocation]. [Where relevant - Additionally, for subsidiaries or relevant non -subsidiaries] Serve as a Director of the Board of [insert name of entities] Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent) Key stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Skills and Experience Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management Qualifications Masters with specialisation in Technology with certification in AI and ML 5-12 years relevant of Hands-on Experience in developing and delivering AI solutions About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www.sc.com/careers,