7846 Artificial Intelligence Jobs - Page 8

You should have a Bachelor's degree or equivalent practical experience along with 8 years of experience in software development using programming languages such as Python, C, C++, Java, or JavaScript. Additionally, you should have at least 3 years of experience in a technical leadership role, overseeing projects, and 2 years of experience in people management or team leadership. Ideally, you should hold a Master's degree or PhD in Computer Science or a related technical field and have 3 years of experience working in a complex, matrixed organization. As a Software Engineer Manager at Google, your responsibilities go beyond coding. You will lead major projects, provide technical expertise, and manage a team of engineers. Your role involves not only optimizing your own code but also ensuring that engineers under your supervision can optimize theirs. You will oversee project goals, contribute to product strategy, and help in the development of your team. Google's Software Engineering (SWE) teams work on a wide range of projects, including information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, and user interface design. As a manager, you will guide the exceptional software engineers to operate with scale and speed. In the Corporate Engineering (Corp Eng) team at Google, you will be building world-leading business solutions to create a more helpful Google for everyone. The team provides end-to-end solutions for organizations within Google, ensuring that all Googlers have the necessary tools, platforms, and experiences to develop helpful products and services for users. Your responsibilities will include recruiting and managing a team of engineers, mentoring and coaching team members to enhance their skills, and setting team strategies and goals. You will collaborate with various stakeholders across Google to align products and businesses towards a unified product experience. Additionally, you will translate customer requirements and business objectives into clear organizational goals, focusing on customer needs and use-cases when making decisions. Maintaining high standards and best practices for engineering excellence, fostering collaboration with other engineering and cross-functional teams, and participating in design, architectural, and operational decisions are also part of your role. You will be driving software engineering projects from definition to delivery and maintenance, ensuring the success of the team and the organization.,

BitQCode Capital is a leading algorithmic trading hedge fund specializing in high-frequency trading, quantitative strategies, and cutting-edge AI-driven market analysis. We manage a multi-million-dollar portfolio and execute millions of trades per month across global markets. Our team consists of top-tier quants, engineers, and traders, leveraging AI to develop sophisticated, automated trading models. We are looking for an AI Quantitative Researcher with a proven track record of applying Artificial Intelligence (AI) and Machine Learning (ML) in financial markets. The ideal candidate should have hands-on experience designing, training, and deploying AI-driven trading models that generate alpha across asset classes. This role requires expertise in deep learning, reinforcement learning, NLP for market sentiment analysis, and predictive modeling for market movements. You will collaborate closely with our quant traders, data scientists, and software engineers to enhance existing trading models and develop new AI-driven strategies. Key Responsibilities: - Research, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. - Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. - Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. - Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. - Optimize AI models for real-time decision-making and high-frequency trading strategies. - Conduct backtesting and live simulations to evaluate model performance under different market conditions. - Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. - Stay up to date with cutting-edge AI research and continuously improve trading models to adapt to evolving market conditions. - Collaborate with software engineers to integrate AI models into automated trading systems for live execution. Requirements: - Strong proficiency in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience in trading-focused AI applications: Reinforcement learning (RL), supervised/unsupervised learning, deep learning, and probabilistic modeling. - Programming expertise: Python (NumPy, Pandas, SciPy, Dask), C++ (for low-latency execution is a plus). - Financial market knowledge: Experience in trading stocks, options, futures, crypto, or FX using AI-driven models. - Big data processing & analysis: Proficiency in working with time-series data, high-frequency tick data, and alternative datasets. - Experience with backtesting frameworks: Zipline, Backtrader, QuantConnect, Freqtrade, etc. - Database and cloud computing: SQL, NoSQL, Redis, AWS, GCP, or Azure for scalable AI infrastructure. Experience & Qualifications: - Minimum 3+ years of experience in AI-driven quantitative research and trading strategy development. - Prior experience in a hedge fund, proprietary trading firm, or financial institution building AI-based models. - A strong track record of building and deploying successful AI-driven trading strategies. - Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Nice to Have: - Experience in market microstructure modeling and order book dynamics. - Knowledge of options pricing, derivatives trading, and volatility modeling. - Experience integrating AI models into low-latency trading systems. - Contributions to AI research, open-source projects, or publications in AI/ML conferences.,

As the Artificial Intelligence Lead in Bid Management at Siemens Energy, you will play a crucial role in integrating AI technologies into the bid management process to enhance efficiency, accuracy, and competitiveness. Your primary responsibility will be to transform the bidding process by implementing innovative AI solutions that drive business success. Your impact will be significant as you develop and execute an AI strategy tailored to bid management processes. You will identify opportunities for AI integration to improve bid quality, speed, and success rates. Collaboration with stakeholders to prioritize AI use cases within the bid management lifecycle will be essential, along with conducting feasibility studies and impact assessments for proposed AI initiatives. You will take ownership of the onboarding process for AI tools and technologies, ensuring seamless alignment with existing systems and workflows. Data integration, model training, and deployment of AI solutions will be under your purview. Furthermore, ensuring the availability, quality, and integrity of data for AI applications and establishing data governance frameworks will be critical aspects of your role. Working closely with cross-functional teams including sales, marketing, finance, and IT, you will ensure alignment on AI initiatives. Effective communication of AI project goals, progress, and outcomes to collaborators at all levels will be key. You will oversee the development and optimization of AI models for bid analysis, pricing strategies, and competitor analysis, ensuring continuous improvement through iterative testing and feedback loops. Establishing key performance indicators to measure the efficiency of AI initiatives in bid management and reporting regularly on project outcomes, insights, and recommendations for enhancements will be part of your responsibilities. Your role will require a strong background in artificial intelligence, machine learning, and data analytics, along with experience in bid management or related fields. Siemens Energy's Transformation of Industry division is focused on decarbonizing the industrial sector, enabling the transition to sustainable processes. As part of a global team committed to sustainable, reliable, and affordable energy, you will contribute to driving Siemens Energy's mission forward through innovation and decarbonization efforts. Siemens Energy is dedicated to diversity and inclusion, celebrating individuality and fostering a culture of creativity and innovation. Employees are offered benefits such as medical insurance coverage, a family floater cover, and meal card options as part of the company policy. Join Siemens Energy in shaping the future of energy systems and making a difference in the global energy landscape.,

As a Data Governance Specialist at Siemens Energy, you will be an integral part of the Data & Artificial Intelligence team within the Digital Core function. Your primary responsibility will be to support the broader needs and demands of the business by transforming the way data is perceived and embedding data management practices across all sectors of the energy industry. In this dynamic environment, you will collaborate with your team to enable and train individuals in data roles within the organization, ensuring the operating model functions effectively. Moreover, you will closely work with the Digital Transformation Office team to establish a sustainable onboarding and enablement framework. Your contributions will be crucial to executing the data governance framework, policies, and standards at Siemens Energy, thereby enhancing the overall data governance program. Your impact will be significant as you lead the efforts to design and implement a sustainable onboarding and enablement framework. You will excel in communicating complex data governance concepts clearly to facilitate upskilling and training activities for data management roles. Additionally, you will create relevant content to support self-serving capabilities, enabling data governance roles to enhance their skills effectively. Furthermore, you will assist in producing, refining, and publishing new training artifacts to align with updated policies and guidelines. Your role will involve leading workshops, planning activities, and ensuring their successful delivery. You will actively contribute to various data governance projects such as data maturity models, data KPIs, and regular engagements with all data governance roles and domains. Collaboration will be a key aspect of your role as you engage with stakeholders through the Digital forums, particularly the data Governance Council, to formalize decisions and plans on enablement. Additionally, you will work closely with the Digital Core business partners to enhance the operating model and bring data enablement closer to all business areas and employees. Your background in Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, or related fields, along with over 10 years of experience in Data Management in large organizations, will be invaluable. Your expertise in designing and implementing Data Governance, coupled with a strong understanding of various data management practices, will enable you to thrive in this role. Your excellent communication skills and ability to adapt to changing priorities will further contribute to your success. Join Siemens Energy's Data & Analytics team to drive innovation and contribute to a sustainable future by leveraging data as a strategic asset. Be a part of a diverse and inclusive global team committed to making a difference in the energy sector. Explore how you can shape the future with Siemens Energy: https://www.siemens-energy.com/employeevideo Siemens Energy values diversity and inclusion, recognizing the power generated through differences. Embrace the opportunity to be a part of a team that celebrates individuality and fosters a culture of creativity and collaboration. Join us in energizing society and driving positive change based on our unique strengths and perspectives. As a Data Governance Specialist at Siemens Energy, you will play a pivotal role in shaping the data landscape and fostering a culture of excellence in data management. Your commitment to innovation, collaboration, and continuous improvement will contribute to our mission of providing sustainable, reliable, and affordable energy solutions. Join us at Siemens Energy and be a part of a global team dedicated to pushing the boundaries of what is possible in energy technology. Together, we can create a more sustainable future for generations to come.,

You will be responsible for delivering captivating classroom instruction on emerging technologies such as Cyber Security, Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, and Internet of Things. Collaborating with colleagues to develop and refine the curriculum in alignment with the latest advancements in the field will be essential. In the realm of Research & Development, your role will involve conducting research, securing funding for projects, and contributing to the advancement of domain knowledge within the academic setting. Guiding and mentoring students to support their academic and professional growth will be a key aspect of your responsibilities. Additionally, you will contribute to the development of innovative learning resources and laboratories to enhance the learning experience for students. Your engagement will extend to participating in examinations and academic activities within the institute. Involvement in academic audits such as NAAC/NBA/IQAC will also be part of your duties. Active participation in co-curricular and extra-curricular activities, including Faculty Development Programs (FDPs), will be encouraged to enrich the academic environment. As a desired candidate, you should possess a B.Tech & M.Tech degree in Computers/Information Technology/Computer, with a Ph.D. from a recognized university being preferred. A minimum of 0-10 years of experience in academics or industry, focusing on relevant technologies like AI, IoT, Data Science, etc., is required. A strong publication record is expected, with a minimum of 3 SCI publications for Professors, 2 SCI publications for Associate Professors, and 1 SCI publication for Assistant Professors. Effective communication and presentation skills are essential for delivering impactful teaching sessions. This role is a full-time position suitable for both freshers and experienced individuals. The benefits include health insurance and Provident Fund. The work schedule consists of day and morning shifts, with additional perks such as performance bonuses and yearly bonuses. The work location is on-site to ensure effective collaboration and engagement within the academic environment.,

We are currently seeking an Assistant / Associate Professor to join the Computer Science & Engineering Department at Sagar Institute of Science, Technology & Research (SISTec-R). The ideal candidate should hold a B.Tech, M.Tech, and Ph.D. in fields such as CSE, IT, AIML, Image Processing, Machine Learning, Neural Networks, Deep Learning, or Data Science from a reputable institute and a recognized university. Applicants should possess proficient knowledge in programming languages such as C, C++, Java, and SQL, along with expertise in subjects like Basic Computer Engineering, Object-oriented programming, Data Structure, DBMS, Artificial Intelligence, Machine Learning, Neural Networks, Deep Learning, Software Engineering, Security & Privacy, Python, Big Data, Cloud Computing, and Natural Language Processing. The job location for this position is Sagar Institute of Science, Technology & Research (SISTec-R) situated at Sikandrabad, near Ratibad, Bhadbhada Road, Bhopal - 462044 (MP). Interested candidates are encouraged to submit their updated CV to hr@sistec.ac.in. For more information, please visit our careers page at https://www.sistec.ac.in/careers.,

The selected intern will be responsible for conducting research on emerging trends, technologies, and use cases in artificial intelligence. You will analyze data and AI-driven solutions to help businesses optimize processes, reduce costs, and save time. Identifying potential AI tools, platforms, and algorithms to recommend for various business functions will be a key part of your role. Collaboration with cross-functional teams to understand their challenges and propose AI solutions is essential. You will also prepare research reports, presentations, and insights to support strategic decision-making. Staying updated on industry best practices and breakthroughs in AI and machine learning will be crucial. As a qualified candidate, you should have a strong interest in AI, data-driven decision-making, and business optimization. Excellent research, analytical, and problem-solving skills are required. A basic understanding of AI concepts, algorithms, and tools is necessary. Proficiency in MS Office and strong verbal and written communication skills are also important. In return, we offer hands-on experience with cutting-edge AI research projects, exposure to real-world business challenges and solutions, and opportunities to contribute directly to business decision-making processes. You will work in a collaborative and supportive environment that encourages growth and development. About the Company: We assist brands in reaching their business goals through in-depth data analysis and understanding customer journeys. Our approach involves creating comprehensive 360-degree campaigns that connect online and offline experiences. In today's competitive business environment, capturing the attention of audiences is crucial. With our skilled team, we create customized strategies that connect with target audiences and deliver measurable ROI. We work closely with our clients to understand their needs, analyze their audiences, and develop distinctive strategies that bring measurable results. If you're looking to redefine and expand your digital presence, you've come to the right place. Services Offered: - Digital marketing services - Social media solutions - Website designing services - Creative graphic design services For more information, visit us at: https://turgusmedia.com/,

As a GATE DA - Faculty member at VisionGATE, a leading institute in GATE Preparation in India, you will play a crucial role in preparing students for the Graduate Aptitude Test in Engineering (GATE) in Data Science and Artificial Intelligence. Your responsibilities will include leveraging your extensive knowledge and teaching expertise to conduct offline classes at our Thane center, ensuring that every student receives personalized attention and guidance to excel in their exams. To excel in this role, you must hold a Master's degree in Computer Science, Mathematics, or a related field. Proficiency in Artificial Intelligence and Machine learning subjects is essential, along with a strong command of spoken and written English. Your ability to develop graduate-level educational content and problem sets, coupled with excellent analytical and problem-solving skills, will be key to your success in preparing students effectively. Moreover, your collaborative spirit and demonstrated experience in working within a team environment will be highly valued. If you have prior experience in developing and delivering online educational courses, it would be considered a significant advantage. Your exceptional communication and interpersonal skills will be instrumental in creating a conducive learning environment for students. Join us at VisionGATE to make a meaningful impact on students" lives and contribute to their academic success. Let's work together to help aspiring students achieve their dreams of gaining admission to premier institutes in India.,

Job Title: Senior IT Consultant (Strategic Supervisor) Location: Vadodara, Gujarat, Employment Type: Full Time (Client side) Department: Information Technology Domain : Manufacturing Job Summary: We seek an accomplished Senior IT Consultant to oversee and elevate one of our client's the IT department's strategic direction. This role involves supervising the IT Manager and the entire IT department to ensure alignment with company goals, particularly in digital transformation and ERP management. Key Responsibilities: Strategic Leadership: Provide overarching guidance on IT strategy, ensuring it aligns with business objectives. Supervise the IT Manager in executing these strategies, offering mentorship and direction. Digital Transformation: Lead the company's digital transformation efforts, identifying and implementing technologies to revolutionize manufacturing processes. ERP System Oversight: Oversee custom ERP system's enhancement, maintenance, and strategic development. Evaluate current ERP capabilities and suggest modernization or integration strategies. Data Analytics, Dashboarding & MIS Reporting Strategy: Oversee the strategic direction for data analytics, dashboarding, and MIS reporting initiatives by selecting and partnering with vendors specialized in business intelligence tools. This involves defining the organization's data strategy, setting long-term objectives for data utilization, and ensuring that the dashboards and reports produced by the vendor align with the company's strategic goals. The focus will be on leveraging external expertise to build a data-driven culture, enhance decision-making capabilities, and provide insights that drive revenue growth and operational efficiencies. RPA and AI Agents Strategy: Lead the strategic implementation of RPA and AI Agents by guiding the selection of technology partners and overseeing the integration of these technologies into business processes. This role includes crafting a vision where automation and AI reduce costs and enhance service delivery. The strategy involves setting clear expectations with vendors on performance improvements, ROI, and scalability, ensuring that AI solutions are scalable, secure, and tailored to support the company's growth and innovation objectives. Operational Efficiency: Analyze IT operations for efficiency, propose improvements, and ensure these are implemented through the IT Manager. Compliance and Security: Ensure IT operations comply with legal and industry standards, focusing on data security and privacy. Vendor and Resource Management: Guide the IT Manager in managing external vendors and optimizing the use of internal resources. Performance Monitoring: Establish KPIs for IT performance, monitor progress, and report to senior management. Qualifications: Education: Masters degree in information technology, Computer Science, Business Information Systems, or equivalent. Experience: Over 15 years in IT, with significant time in leadership or consultancy roles within manufacturing. Deep expertise in ERP systems, especially in .NET environments. A proven ability to manage and transform IT departments. Skills: Exceptional strategic planning and leadership capabilities. Strong technical background with an understanding of current and emerging IT trends. Excellent interpersonal skills for collaborating with executives and mentoring staff. Preferred: Experience in a supervisory or consultancy role overseeing an IT department. Familiarity with electrical manufacturing or similar technical sectors. Please share your resume if the said requirement goes in line with your experience and you career path. Our team will get in touch with you for further discussion.

Rockwell Automation is a global technology leader focused on helping the world s manufacturers be more productive, sustainable, and agile. With more than 28, 000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that s you we would love to have you join us! Job Description AI Architect Pune/Noida/Bangalore, India As an AI Architect, you will lead the design, development, and deployment of enterprise-grade artificial intelligence solutions that drive innovation and deliver measurable business value. You will report to the Director of Enterprise Architecture and work in a hybrid capacity from our Pune, India office. In this role, you will collaborate with cross-functional teams including data scientists, engineers, and business leaders to ensure AI systems are scalable, secure, and ethically aligned with organizational goals. Your Responsibilities: Architect and implement AI solutions : Design and oversee end-to-end AI architectures that integrate seamlessly with existing IT and data infrastructure, ensuring scalability, performance, and maintainability. Lead cross-functional delivery teams : Guide data scientists, engineers, and business stakeholders through the full AI solution lifecycle from ideation and prototyping to production deployment and monitoring. Evaluate and recommend technologies : Assess AI/ML platforms, frameworks, and tools (e. g. , TensorFlow, PyTorch, cloud AI services) to ensure alignment with business needs and technical feasibility. Establish best practices : Define standards for model development, testing, deployment, and lifecycle management, ensuring compliance with ethical AI principles and data privacy regulations. Mentor and evangelize : Provide technical leadership and mentorship to junior architects and data professionals, while promoting AI adoption and architectural vision across the organization. The Essentials You Will Have: A Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 5+ years of experience designing and implementing AI architectures in production environments. Proficiency with AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, Scikit-learn, and cloud-based AI services (e. g. , AWS SageMaker, Azure ML). Strong programming skills in Python, R, Java, or similar languages. Deep understanding of data structures, algorithms, and software engineering best practices. Demonstrated experience leading complex AI projects with cross-functional teams. Proven track record of delivering AI solutions that drive business outcomes. Experience with ethical AI practices and compliance with data protection regulations. The Preferred You Might Also Have: Experience deploying AI solutions on cloud platforms (AWS, Azure, GCP) in hybrid or multi-cloud environments. Familiarity with MLOps tools and practices for continuous integration, deployment, and monitoring of AI models. Strong problem-solving skills and the ability to translate business requirements into scalable technical solutions. Experience mentoring and developing talent within AI or data science teams. What We Offer: Our benefits package includes Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development . . . and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if youre excited about this role but your experience doesnt align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. #LI-Hybrid #LI-KV1 Rockwell Automations hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firms strategic goals. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firms strategic goals. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

When you mentor and advise multiple agile technical teams and move financial risk technologies forward, it s a big challenge with big impact. Join our team and be an integral part of our agile organization to deliver the best risk solutions for the firm. As a Senior Manager of Software Engineering at JPMorgan Chase within the Limits Management group in Risk Technology, you ll serve in a leadership role to help build, coach and lead agile teams to solve complex problems at scale. As an expert in your field, your insights will influence budget, planning and technical considerations to advance operational efficiencies and functionality. Job responsibilities Provides direction, oversight, and coaching for a team of entry-level to mid-level software engineers, as well as guidance to product and business teams Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of agility, firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise Hands-on practical experience delivering system design, application development, testing, and operational stability Experience in agile product development and managing technologists Ability to tackle design and functionality problems independently with little to no oversight Advanced knowledge of Java and experience of utilizing co-pilot or similar AI development tools Practical cloud native experience and advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more other technical disciplines (e. g. , artificial intelligence, machine learning, mobile, etc. ) Proficient in automation and continuous delivery methods and all aspects of the Software Development Life Cycle, including QA automation Experience of communicating and engaging with senior leadership/stakeholders Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Full stack developer experience with Java, Spring, Hibernate, ReactJS Experience with Public Cloud & Big Data/NoSQL database technologies Preferred qualifications, capabilities, and skills In-depth knowledge of the financial services industry and their IT systems Familiarity with API and Micro services frameworks, Container Technologies, and workflows Familiarity with UX design and modern front-end development technologies When you mentor and advise multiple agile technical teams and move financial risk technologies forward, it s a big challenge with big impact. Join our team and be an integral part of our agile organization to deliver the best risk solutions for the firm. As a Senior Manager of Software Engineering at JPMorgan Chase within the Limits Management group in Risk Technology, you ll serve in a leadership role to help build, coach and lead agile teams to solve complex problems at scale. As an expert in your field, your insights will influence budget, planning and technical considerations to advance operational efficiencies and functionality. Job responsibilities Provides direction, oversight, and coaching for a team of entry-level to mid-level software engineers, as well as guidance to product and business teams Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of agility, firm wide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise Hands-on practical experience delivering system design, application development, testing, and operational stability Experience in agile product development and managing technologists Ability to tackle design and functionality problems independently with little to no oversight Advanced knowledge of Java and experience of utilizing co-pilot or similar AI development tools Practical cloud native experience and advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more other technical disciplines (e. g. , artificial intelligence, machine learning, mobile, etc. ) Proficient in automation and continuous delivery methods and all aspects of the Software Development Life Cycle, including QA automation Experience of communicating and engaging with senior leadership/stakeholders Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security Full stack developer experience with Java, Spring, Hibernate, ReactJS Experience with Public Cloud & Big Data/NoSQL database technologies Preferred qualifications, capabilities, and skills In-depth knowledge of the financial services industry and their IT systems Familiarity with API and Micro services frameworks, Container Technologies, and workflows Familiarity with UX design and modern front-end development technologies

You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Strong experience in UI, React JS, Backend. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies You re ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorganChase within the Consumer and Community Banking, you are part of an agile team that works to enhance, design, and deliver the software components of the firm s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Strong experience in UI, React JS, Backend. Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Technology Data Team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing vital technology solutions across diverse technical domains within various business functions to support the firms strategic goals. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands on Java software development Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in banking / financial domain We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within the Wholesale Credit Risk Technology Data Team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing vital technology solutions across diverse technical domains within various business functions to support the firms strategic goals. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Hands on Java software development Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Experience in banking / financial domain

We are seeking a highly skilled Lead Platform Engineer with 7+ years of experience to drive innovation at the intersection of DevOps, cloud automation, and artificial intelligence. The ideal candidate will have deep expertise in generative AI, machine learning, and AIOps, coupled with advanced knowledge of cloud infrastructure automation and modern engineering practices. This role involves leading the design, development, and implementation of transformative automation solutions using AI/ML and generative AI technologies. Responsibilities Architect automated workflows for cloud infrastructure provisioning and management using IaC tools like Terraform Build and optimize automation frameworks to enable scalable multi-cloud infrastructure deployment and management Develop and enhance service catalog components with integration into platforms such as Backstage, leveraging GenAI models for code generation Implement CI/CD pipelines to streamline code builds, testing, and deployments, ensuring continuous delivery across diverse cloud environments Write and maintain automation scripts using Python, Bash, or similar scripting languages Act as deployment orchestrator, driving smooth, automated deployments across cloud ecosystems Design and implement generative AI models such as RAG and agentic workflows using frameworks like Langchain or platforms like Bedrock, Vertex, Azure AI Build and manage vector document sources and vector databases (e.g., Amazon Kendra, Opensearch) for AI-driven applications Prepare datasets, apply feature engineering, and optimize inputs for AI/ML models to enhance training and inference outcomes Create and integrate agentic workflows using approaches like ReAct patterns or Langraph engineering with cloud GenAI platforms Evaluate model performance and select appropriate large language models (LLMs) for specific use cases while preventing model decay through prompt/flow engineering Develop MLOps pipelines to deploy RAG or agentic flows, monitoring and iterating to ensure long-term operational performance Collaborate with cross-functional teams to develop innovative cloud automation and AIOps capabilities, driving operational efficiency Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field 7+ years of experience in cloud infrastructure automation, DevOps, and scripting Expertise in IaC tools such as Terraform, CloudFormation, or similar technologies Strong proficiency with Python and generative AI frameworks (RAG, agentic workflows) Proven experience working with GenAI platforms like Bedrock, Vertex AI, or Azure AI Competency in building and managing vector databases like Opensearch or Amazon Kendra Proficiency in data preparation, feature engineering, and dataset optimization for AI model development Background in designing and operating CI/CD pipelines and automating deployment workflows Knowledge of cloud automation tools, service catalogs, and integration platforms (e.g., Backstage) Nice to have Familiarity with data streaming solutions and data lake architectures for real-time AI insights Understanding of ReAct patterns and Langraph engineering for agentic workflows Skills in integrating GenAI models into existing operational platforms for enhanced automation Showcase of experience driving AIOps initiatives in large-scale environments Flexibility to adapt and utilize emerging AI/ML technologies in solving complex operational challenges

Looking for a rockstar fullstack dev for US startup: * Typescript, React & Nextjs frontend. Python, Nodejs backend - postgres & elasticsearch db, * Design APIs, microservices, Azure Devops * AI RAG apps with OpenAI, data engineering, ETL workflows

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide, Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP, Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in Spanish language for the following: verbal, writing, reading and comprehension Required language level: B2 2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Haryana Job ID: A3033832 Show

Roboyo is not a typical technology consultancy We have been at the forefront of Business Process Automation since the sector began, less than a decade ago, We started as pioneers Today, we are the worlds largest specialist Intelligent Automation company and remain at the cutting edge Our growth, success, and contribution to the success of our clients are a result of one thing our people, We are united by our purpose, to take whats possible to the next level for our clients, our business, and for each other, At Roboyo, you will experience a fun and innovative work environment with a dynamic and ambitious team passionate about technology and automation, AI Engineer (Generative AI / Agentic AI) Mid-Level Role Overview: The AI Engineer (Gen AI / Agentic AI) will work on building AI solutions using Generative AI models (like LLMs) and agent-based frameworks The role requires strong Python skills, cloud technology experience (Azure, AWS, GCP), and a hands-on approach to building intelligent applications like chatbots and AI agents The position is hybrid, working on client projects and internal prototypes, Key Responsibilities: Develop AI Solutions: Design and test AI-driven applications using Generative AI models ( e-g , GPT-based systems), Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy models and AI solutions, ensuring scalability, Collaboration: Work with solution architects and data engineers to align AI solutions with client needs Participate in agile development cycles, Internal Innovation: Contribute to Roboyos internal AI prototypes and knowledge sharing, Required Qualifications: 3-6 years in software development with AI/ML experience, Strong Python skills and familiarity with AI libraries ( e-g , TensorFlow, PyTorch), Experience deploying AI solutions on cloud platforms (Azure, AWS, GCP), Hands-on knowledge of Generative AI models (LLMs, GPT), Good data handling and integration skills, Preferred Qualifications: Exposure to automation platforms (UiPath, Power Platform), Familiarity with web development, APIs, or conversational AI (Rasa, Microsoft Bot Framework), AI certifications are a plus, We are an equal opportunity employer and value diversity at our company We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status, Privacy Notice: By applying, you consent to the processing of your personal data for recruitment purposes in line with our Privacy Policy: https://roboyo global/data-privacy/ Show

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide, Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP, Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension Required language level: B2 2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Haryana Job ID: A3033836 Show

Description Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest technology alongside our operational excellence By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide, Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment Provide floor support to Operations manager in running day to day operations working closely with Data Associates Handle work prioritization and deliver based on business needs Track and report ops metrics and ensure delivery on all KPIs and SLAs You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation You will strive to enhance the productivity and effectiveness of the data generation and annotation processes The tasks will be primarily repetitive in nature and will require the individual to make judgment-based decisions keeping in mind the guidelines provided in the SOP, Basic Qualifications Graduate or equivalent (up to 1 year of experience) Candidate must demonstrate language proficiency in French language for the following: verbal, writing, reading and comprehension Required language level: B2 2/BA/Advanced Diploma Good English language proficiency: verbal, writing, reading and comprehension Strong analytical and communication skills Passion for delivering a positive customer experience, and maintain composure in difficult situations Ability to effectively and efficiently complete challenging goals or assignments within defined SLA Preferred Qualifications Basic level of Excel knowledge Familiarity with online retail (e-commerce industry) Previous experience as AI trainers, knowledge of AI and NLP Experience with Artificial Intelligence interaction, such as prompt generation and open AI's Experience in content or editorial writing Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, amazon jobs / content / en / how-we-hire / accommodations for more information If the country/region youre applying in isnt listed, please contact your Recruiting Partner, Company ADCI Haryana Job ID: A3033849 Show

Overview We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems, At Intuit, we hold a global leadership position in financial management solutions We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms Our teams are dynamic, focused on delivering creative solutions with a side of fun, What you'll bring BS/MS in Computer Science or related area or equivalent experience 5+ years of experience developing systems/software for large businesses using Java/J2EE, Python, or Go Strong communication skills with a demonstrated ability to explain complex technical issues to both technical and non-technical audiences Experience with databases, cloud, APIs, and other technologies to ensure that the application is scalable, secure, and performant, Experience with unit testing and Test Driven Development (TDD) Experience developing, maintaining, and innovating large scale, consumer facing web applications Possess basic understanding of AI concepts and foundations Ability to work collaboratively with AI experts and integrate AI into existing systems as needed, with guidance Familiarity with data and metrics required for building and evaluating AI models Conversant with AI Native principles and able to apply them to software development Strong problem-solving skills and ability to think creatively about software and AI based solutions Ability to communicate effectively with cross-functional teams Ability to keep up-to-date with the latest trends and advances in AI technology and incorporate them into software development practices, How you will lead Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems Drive the design and implementation of reliable and scalable backend software solutions that solve critical customer problems and interact with numerous other services, Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed Propose AI solutions that can be applied to a variety of problems Show

Position Overview Job Title: KYC Quality Assurance Team, AVP Location: Bangalore, India Role Description Client Lifecycle Management (CLM) in Global KYC Operations is responsible for performing KYC on clients of Deutsche Bank Group and Affiliates across Corporate Investment Banking The 1 LoD ?Know Your Client (KYC) Quality Assurance (QA) CB/IB Financial Crime Risk (FCR) and Compliance Business Control Office (BCO) function provides assurance to stakeholders as to whether DBs KYC files reviewed meet the standards defined in the KYC Policy DB Group and local requirements (where applicable) through an independent assessment of KYC file, including ascribed Client Risk Ratings and Due Diligence activities undertaken by the Business to manage Financial Crime Risks presented by the Client, What Well Offer You As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under child care assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs and above Your Key Responsibilities Operate as a KYC Quality Assurance SME with the global KYC QA function Review KYC files on a sample basis by applying the QA methodology to deliver an objective review of client files from multiple locations globally, Perform accurate and consistent QA checks on KYC files across multiple locations, business areas and client types, Identify risks within the KYC documentation and confirm issues have been remediated and/or appropriately escalated through the escalation process, Review of Tax files on a sample basis to assess the adherence to the policy requirements for some of the key regulatory classifications in the bank, such as MiFID, FATCA, CRC,etc, Partner with CLM & AFC QA teams to improve KYC standards Support and contribute towards a continuous improvement program of work borne out of a QA testing results, asses root causes and thematic issues proposing steps to be taken to eliminate, evidencing improvements Sustain to a culture of teamwork and collective achievement of departmental goals and objectives across QA & CLM teams Contribute to forward looking strategy for QA including, AI, machine learning & process re-engineering The Operations Expert provides in-depth technical knowledge and expertise covering complex policies, processes, products and regulatory requirements, Keep abreast of industry best practices, sharing knowledge with a range of internal stakeholders at all levels, regionally and globally as appropriate, Input to Business strategy as required, The Operations Expert represents the Bank by managing strong relationships with all relevant internal and external stakeholders e-g industry forums, regulators, third party vendors, market participants and internal divisions e-g IT, Legal or Product Management, They communicate all changes relating to operational requirements, which impact on relevant processes and controls; ensuring understanding by the relevant target audiences, The Operations Expert identifies analyses and reviews operational readiness for any change-related activities They define the requirements e-g for the standardisation of processes/policies, translating the required changes for an operational environment and overview effective implementation They also assess the risks and are responsible for risk mitigation to protect the Banks reputation, The Operations Expert acts as a Subject Matter Expert (SME), specialising in KYC & AML Your Skills And Experience Profound knowledge of Know your Customer (KYC) matters and topics with 10+ years KYC operations experience Required to review the local documents as part of the KYC QA review Analytical skills and attention to detail, with the ability to think laterally around issues, proposing solutions where required Experience with investment banking clients and with preferably with risk and complex client entity structures Effective communication, organisation, prioritisation and interpersonal skills Ability to work to high standards and under strong time constraints The ability to utilize your own area of expertise and knowledge to contribute to significant improvements in operational processes and policies Combine subject matter expertise and able to transfer knowledge to colleagues Project management/Process engineering experience within the KYC & AML function Engagement with Sr Stakeholders in the organization in form of regular governance forums How Well Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https:// db /company/company ht We strive for a culture in which we are empowered to excel together every day This includes acting responsibly, thinking commercially, taking initiative and working collaboratively, Together we share and celebrate the successes of our people Together we are Deutsche Bank Group, We welcome applications from all people and promote a positive, fair and inclusive work environment, Show

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Location - Gurugram,Bengaluru,Hyderabad,Pune,Noida,India

SKILLS AND COMPETENCIES Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Domain Expertise: • Strong mathematical foundation in statistics, probability, linear algebra, and optimization • Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation • Expertise in feature engineering, embedding optimization, and dimensionality reduction • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing • Experience with RAG systems, vector databases, and semantic search implementation • Proficiency in LLM optimization techniques including quantization and knowledge distillation • Understanding of MLOps practices for model deployment and monitoring Professional Competencies: • Strong analytical thinking with ability to solve complex ML challenges • Excellent communication skills for presenting technical findings to diverse audiences • Experience translating business requirements into data science solutions • Project management skills for coordinating ML experiments and deployments • Strong collaboration abilities for working with cross-functional teams • Dedication to staying current with latest ML research and best practices • Ability to mentor and share knowledge with team members Primary Skill Set: Microservices LLM, Agentic AI Framework, Predictive modelling

Eightfold AI is looking for Machine Learning Engineer to join our dynamic team and embark on a rewarding career journey A Machine Learning Engineer is responsible for designing, building, and maintaining systems that use artificial intelligence (AI) and machine learning (ML) algorithms to solve complex problems Developing and implementing ML algorithms: The Machine Learning Engineer develops and implements machine learning algorithms to solve specific problems, such as natural language processing, computer vision, or predictive modeling Building data pipelines: The Machine Learning Engineer is responsible for building data pipelines that collect, store, and preprocess data used in machine learning algorithms Creating and maintaining ML infrastructure: The Machine Learning Engineer is responsible for creating and maintaining ML infrastructure, including hardware, software, and cloud platforms, that support the development and deployment of ML models Testing and validating ML models: The Machine Learning Engineer tests and validates ML models, ensuring that they are accurate, robust, and scalable Troubleshooting ML systems: The Machine Learning Engineer troubleshoots ML systems, identifying and resolving issues related to performance, accuracy, and scalability Deploying ML models: The Machine Learning Engineer deploys ML models in production environments, integrating them with other software systems and ensuring that they are reliable and scalable