803 Neural Networks Jobs - Page 33

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Accenture Delivery Architectures (ADA) Summary: As an AI Platform Engineer, you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with Accenture Delivery Architectures (ADA) and implementing deep learning, neural networks, chatbots, and natural language processing technologies. Roles & Responsibilities: 1 Lead architecture, design, cross business area projects and development teams for AI applications 2 Identify and explore the framework, NLP tools, VA platform, architecture, or tech stack can be used to create a solution and the connection between the components - Collaborate with cross-functional teams to ensure seamless integration of AI-based applications and systems. - Stay updated with the latest advancements in AI and machine learning technologies, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: 1 Knowledge of applications using MEAN stack, Angular JS, Nodejs, Python 2 Understanding of UI technologies like HTML, JavaScript, jQuery 3 Hands on experience on VA tools like Microsoft Bot Framework, Google Dialog flow, RASA, Amazon Lex at least 2 4 Knowledge of: Big Data, LAMP Linux, Apache, MySQL, PHP, DevOps, PaaS a: Custom Frameworks, Spring related technologies, UML, OO Design, Spring Boot, Microservice and JEE Archtiecture b: Cloud AWS,Azure,Google c: Artificial intelligence, Machine Professional Attributes : 1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients Educational Qualification: 15years fulltime of Education - Solid grasp of machine learning algorithms and techniques. - Experience with data visualization tools such as Tableau or Power BI. Additional Information: - The candidate should have a minimum of 3 years of experience in Accenture Delivery Architectures (ADA). - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to: Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Master's Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

About the job: Key responsibilities: 1. Work on technical research: a. Conduct thorough research on contemporary topics in computer science and engineering to ensure accuracy and relevance in content creation. b. Stay updated on the latest advancements, technologies, and trends within the field. 2. Handle content creation: a. Generate compelling and insightful content, including articles, white papers, and technical documentation. b. Ensure that content is accurate, understandable, and adheres to stylistic guidelines. 3. Work on editing and proofreading: a. Revise and refine content to ensure it meets high-quality standards. b. Proofread material for errors, inconsistencies, and improvements in clarity and readability. 4. Handle collaboration: a. Work closely with technical teams, subject matter experts, and other stakeholders to gather information and ensure content accuracy. b. Collaborate with graphic designers to create visually appealing content, including infographics and diagrams. 5. Work on content promotion: a. Assist in the dissemination of content through various channels, including websites, social media platforms, and academic forums. b. Engage with the readership to gather feedback and improve future content 6. Work on performance monitoring: a. Analyze content performance metrics to gauge engagement and effectiveness. b. Utilize feedback to improve content strategy and creation processes. Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 2,00,000 - 2,40,000 /year Experience: 0 year(s) Deadline: 2025-06-04 23:59:59 Skills required: Content Writing, Python, Algorithms, Critical thinking, Analytical Thinking, Data Science, Neural Networks and Data Analysis About Company: We provide application solutions and development needs to clients. We offer business solutions for computing and creative excellence and deliver innovative and cost-effective solutions with ethics. Our experienced and committed team, with its strong focus on technology, is the backbone of our company in delivering the synergy of creative solutions. We design, develop, and deliver cost-effective and high-quality software applications. We provide e-commerce, retail, manufacturing, and many other services. We work on political campaigning with transparency. Megaminds IT Services (now Megaminds IT & Job Consultancy Services) has started job consultancy services too.