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6.0 - 8.0 years

0 Lacs

mumbai, maharashtra, india

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Morgan Stanley Senior AI Solutions Engineer_ Vice President _Software Engineering Profile Description Were seeking someone to join our team as Senior AI Solution Engineer will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates. CDRR_Technology The Cybersecurity organization&aposs mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firms data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Software Engineering This is Vice President position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firms global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firms infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, theres ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team thats eager to create, innovate and make an impact on the world Read on What Youll Do In The Role As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You&aposll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You&aposll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. What Youll Bring To The Role Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability. Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Required Skills And Qualifications Master&aposs or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 6+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows 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 85 years. At our foundation are five core values putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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. 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 - arent just beliefs, they guide the decisions we make every day to do what&aposs best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll 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. Theres 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. Show more Show less

Posted 3 weeks ago

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Exploring Big Data Technologies Jobs in India

The job market for big data technologies in India is rapidly growing, with numerous opportunities available for skilled professionals in this field. Big data technologies are in high demand across various industries, including IT, finance, healthcare, and e-commerce. As companies continue to rely on data-driven insights for decision-making, the need for professionals with expertise in big data technologies is on the rise.

Top Hiring Locations in India

  1. Bangalore
  2. Pune
  3. Hyderabad
  4. Mumbai
  5. Delhi

Average Salary Range

The average salary range for big data technologies professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 4-6 lakhs per annum, while experienced professionals can command salaries ranging from INR 12-20 lakhs per annum.

Career Path

Typically, a career in big data technologies progresses from roles such as Junior Developer or Data Analyst to Senior Developer, Data Engineer, Data Scientist, and eventually to Tech Lead or Architect positions. Continuous upskilling and staying updated with the latest technologies in the field are essential for career advancement.

Related Skills

In addition to expertise in big data technologies, professionals in this field are often expected to have skills in programming languages such as Python, R, Java, and SQL. Knowledge of data visualization tools like Tableau and Power BI, as well as experience with cloud platforms like AWS or Azure, can also be beneficial.

Interview Questions

  • What is the difference between structured and unstructured data? (basic)
  • Explain the MapReduce framework and its components. (medium)
  • How do you handle missing data in a dataset? (basic)
  • What is the purpose of Apache Hadoop? (basic)
  • Describe the difference between batch processing and real-time processing. (medium)
  • What is the role of Apache Spark in big data analytics? (medium)
  • Explain the concept of data normalization. (basic)
  • How do you optimize a big data workflow for performance? (medium)
  • What is the CAP theorem in distributed systems? (advanced)
  • How does machine learning complement big data analytics? (medium)
  • Discuss the importance of data governance in big data projects. (medium)
  • What are some common techniques for data preprocessing? (basic)
  • Explain the concept of dimensionality reduction in big data analytics. (medium)
  • How do you ensure data security in a big data environment? (medium)
  • What is the role of a data pipeline in big data processing? (medium)
  • Describe the process of data wrangling. (basic)
  • How do you handle outliers in a dataset? (basic)
  • What are the key differences between NoSQL and SQL databases? (medium)
  • Discuss the challenges of working with streaming data. (medium)
  • How do you evaluate the performance of a machine learning model? (medium)
  • What is the purpose of data partitioning in distributed computing? (medium)
  • Explain the concept of data sharding. (medium)
  • How do you handle concurrency in a distributed system? (medium)
  • Discuss the role of data lakes in big data architecture. (medium)
  • What are the best practices for data storage in a big data environment? (medium)

Closing Remark

As you navigate the job market for big data technologies in India, remember to showcase your skills and experience confidently during interviews. Stay updated with the latest trends in the field and continuously upskill yourself to stay competitive in the ever-evolving tech industry. Prepare thoroughly, and you'll be well on your way to securing a rewarding career in big data technologies. Good luck!

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