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software development engineer

machine learning engineer

HDFC Bank

<div>
 
 
 Job Purpose:
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 
 
 
 Desired Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem solving skills
 </li>
 </ul>
</div>

AI/ML Engineer

Microsoft

<div>
 
 Overview
 
 
 
 The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure&rsquo;s innovation and differentiation, as well as all of Microsoft&rsquo;s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet
 
 
 Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing of OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.
 
 
 
 Responsibilities
 
 
 
 
 Job Responsibilities
 
 
 
 As a Software Engineer 2 in our team, you will:
 
 
 <ul>
 <li>
 Write clean and concise code with unit tests
 </li>
 <li>
 As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will also be working on scaling these features for big data using distributed systems. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features.
 </li>
 <li>
 Your responsibilities will include contributing to and/or backend stateful services written in C# hosted on Kubernetes clusters and Docker containers to provide meaningful features to the customers. You will also be working on improving Python SDK's existing features, designing new features, implementing them in our distributed, multi-component SDK, and owning the full lifecycle of the features including testing and release.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required and Preferred
 
 
 
 <ul>
 <li>
 4+ years of experience writing production code in building internet scale services and distributed systems.  Ability to debug, read code and work on a large and increasing codebase.
 </li>
 <li>
 Engineering knowledge of machine learning systems and data pipelines.
 </li>
 <li>
 Experience mentoring other developers, working partners and being a team player.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer 2

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 eBay
 
 
 
 With more than 100 million active users and hundreds of millions of active product listings, eBay is the world&rsquo;s most vibrant and dynamic online marketplace.
 
 
 Here at eBay, we do not have big data. We have HUGE data. So, if you are passionate about conducting research and working with real, live data of the largest inventory in the world, we are the right place for you!
 
 
 Our science teams explore and provide solutions for extremely complex problems that huge data can bring by conducting research in the fields of Machine Learning, NLP and Information Retrieval. We work closely with the product teams in order to bring state of the art technology to production while publishing the scientific work in top-tier conferences (NIPS, WWW, WSDM, SIGIR, EMNLP, and others)
 
 eBay SEO
 
 Search Engine Optimisation (SEO) at eBay is a fun and challenging environment, where every day you will be finding solutions for eBay&rsquo;s global scale and unique breadth of inventory.
 
 
 Your work will directly improve the experience hundreds of millions of buyers and sellers, around the world as they interact with billions of listings,
 
 
 eBay&rsquo;s SEO teams are recognized as industry leaders, regularly piloting the latest initiatives in collaboration with the world&rsquo;s largest search engines, and pioneering new techniques and ways of working.
 
 Your huge impact in this role
 
 
 
 By leading eBay SEO science team you will be able to conduct world-class research in the area of Machine Learning and Natural Language Processing, solve complex problems for eBay's core product and see your work impact billions of people around the world.
 
 
 You will work with top scientists to conduct top of the line research where your goal would be ensuring that eBay buyer experience has the most important pages buyers are looking for and are found by search engines like Google or Bing to appear in their results for the most appropriate search queries.
 
 What shall you bring to the table?
 
 
 
 <ul>
 <li>
 Phd in a relevant domain is a must
 </li>
 <li>
 5+ years&rsquo; experience in managing teams (8-12 people), while still doing some hands-on coding
 </li>
 <li>
 Proven experience in the fields of Machine Learning, data mining, information retrieval and knowledge management
 </li>
 <li>
 Ability to lead people and effectively collaborate with a variety of teams to bring technology from the idea phase to the market
 </li>
 <li>
 Solid understanding of computer science fundamentals, data structures, and algorithms.
 </li>
 <li>
 Combination of strong research &amp; engineering skills.
 </li>
 <li>
 Experience in programming (Python and Java are a plus), machine learning and statistics.
 </li>
 <li>
 Experience in working in a complex production environment - a plus
 </li>
 <li>
 Publication record in machine learning or related conferences - a plus.
 </li>
 <li>
 Experience in Agentic development - a plus
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Manager Applied Research SEO

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description
 
 : Senior Data Scientist
 
 
 
 Role Overview:
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 12 - 14 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 12-14 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA - Gen AI - Senior-Manager - E

<div>
 
 Overview
 
 
 
 
 Microsoft Research India (MSR
 
 
 India)
 
 is a leading research lab advancing innovation across the research areas like Artificial Intelligence &amp; Machine Learning, Theory, Technology &amp; Empowerment and Systems. Established two decades ago, the lab has been at the forefront of computer science research in India and has been home to world class talent and projects.
 
 
 We are seeking to hire research engineers at Microsoft Research India. We are looking for exceptional candidates with a demonstrated track record in AI/ML, including new models, scalable ML architectures, systems support for such workloads, and innovative large-scale applications of ML models. Projects in the lab are inter-disciplinary and span across research areas such as artificial intelligence, machine learning, natural language processing, information retrieval, systems, theory, and related areas.
 
 
 Interested candidates should apply on the link above.
 
 
 
 Responsibilities
 
 
 
 We are looking for engineers with strong coding and engineering skills. The candidate should be comfortable dealing with open problems, new technologies and changing requirements, and should play different roles in the project as the need arises. The candidate will be working closely with researchers, engineers and internal/external partners and take ownership of meeting project goals through building quality solutions. This also provides a great opportunity to receive mentoring as well as to mentor and lead interns and other team members.
 
 
 
 Qualifications
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. degree in Computer Science or related disciplines.
 </li>
 <li>
 Strong programming and communication skills, and ability to drive end-to-end research and development&mdash;from ideation to deployment.
 </li>
 <li>
 Minimum 5 years of industry work experience with proven track record of innovation and delivering impactful solutions.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Good understanding of deep learning, LLMs, and large-scale ML systems.
 </li>
 <li>
 Proficiency in Python, PyTorch, and familiarity with CUDA, cutting-edge agentic frameworks, etc.
 </li>
 <li>
 Experience in data preparation, pre-training, post-training, and evaluation for ML models.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Research Software Development Engineer

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This Position reports to:
 
 
 R&amp;D Department Lead
 
 
 
 
 
 
 Your role and responsibilities:
 
 
 
 You will be a member of the ABB India Corporate Research Center (INCRC), at the ABB Innovation Center (AIC) located in Bangalore, India. INCRC researchers perform high-end research on diverse topics to develop cutting-edge technologies for ABB&rsquo;s global businesses to propel the organization towards a productive and sustainable future. We collaborate with other ABB corporate research centers, R&amp;D units, and academic institutes. The position offers the opportunity to work in a dynamic, global, and creative environment, collaborating with a wide range of experience and expertise. You will work in applied research projects, developing innovative Control and Artificial Intelligence technologies toward building intelligent autonomous systems for the Industry, Transport, and Infrastructure sectors.
 
 
 The work model for the role is Onsite
 
 
 You will be mainly accountable for:
 
 
 <ul>
 <li>
 Requirements gathering and identification of use cases to aim towards fully autonomous process plants, and minimizing expert interventions in designing, deploying, and maintaining advanced control applications
 </li>
 <li>
 Evaluation of the state-of-the-art Control and Artificial Intelligence approaches and/ or development of a new approach for identified use cases.
 </li>
 <li>
 Development of a proof of concept, prototypes, and support in pilot evaluation and productization of solutions.
 </li>
 <li>
 Contribute to building and managing the laboratory setup for experimental research
 </li>
 <li>
 Communication of project results to Technical experts and Management.
 </li>
 <li>
 Creation of Intellectual property (invention disclosures) and publications in scientific journals and conferences.
 </li>
 <li>
 Travel to customer sites and ABB locations on a need basis.
 
 
 
 </li>
 </ul>
 
 Qualifications For The Role (Mandatory)
 
 
 
 <ul>
 <li>
 Ph.D. in Chemical/ Control/ Electrical/ Instrumentation/ Mechanical engineering with a strong publication and patent record, with a minimum of 7 years of experience; industrial research experience is preferred.
 </li>
 <li>
 Experience in the development of model-based or model-free controllers, such as Model Predictive Control, Approximate Dynamic Programming, and Reinforcement Learning
 </li>
 <li>
 Knowledge of operation and control in the process industry e.g., Oil and Gas, Pulp and Paper, Metals, etc, is preferred.
 </li>
 <li>
 Good knowledge of Deep Learning, Reinforcement Learning, Supervised and unsupervised learning, Multivariate statistics, Time-series analysis, Signal Processing, and related areas.
 </li>
 <li>
 Experience in the usage of Machine learning for the development of predictive maintenance, diagnosis, and monitoring solutions.
 </li>
 <li>
 Proficiency in Matlab and Python programming languages.
 </li>
 <li>
 Ability to communicate effectively in English with internal and external partners, including the academic community.
 
 
 </li>
 </ul>
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

Senior Scientist

Morgan Stanley

<div>
 
 Morgan Stanley
 
 
 
 
 Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering
 
 
 
 We&rsquo;re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family
 
 
 responsible for developing and maintaining software solutions that support business needs.
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
 </li>
 <li>
 The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
 </li>
 <li>
 Provide technical leadership and vision for software development projects.
 </li>
 <li>
 Define technical architecture and roadmap for large-scale, mission-critical systems.
 </li>
 <li>
 Establish and communicate departmental goals and objectives aligned with business priorities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <li>
 Ability to effectively manage multiple functions or guide junior staff and initiatives.
 </li>
 <li>
 Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
 </li>
 <ul>
 <li>
 10+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 <li>
 Supervised &amp; Unsupervised Learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs
 </li>
 <li>
 Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
 </li>
 <li>
 Entity identification/extraction and knowledge discovery from structured and unstructured content
 </li>
 <li>
 Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
 </li>
 <li>
 Familiar with noSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environments
 </li>
 <li>
 Excellent communication skills and basic knowledge in finance
 </li>
 <li>
 PhD or Master&rsquo;s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
 </li>
 <li>
 At least 6 years' relevant experience would generally be expected to find the skills required for this role
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

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