De-java Fs-sr-gds jobs at Ey in India, Thiruvananthapuram

Job Summary

This person would have significant experience in the Full stack technologies. He/she needs to have strong communication skills and the ability to work with our clients and teams across globe. An experience in working on Azure and dev ops tools would be an added advantage.

Your Responsibilities

• Provides technical direction for the development, design, and systems integration across multiple client engagements from definition phase through implementation
• Keep up to date on emerging capabilities in open source area and identify where and how new capabilities can be applied
• Work closely with Product Management to plan and negotiate iterative development cycles in an Agile environment
• Suggests alternative technical solutions to meet client requirements more efficiently, and/or with greater reusability.
• Contribute to EY’s internal knowledge base on best practices in this full technology area.
• Completion of assigned tasks on time and regular status reporting to the lead
• Keen sense of urgency and the ability to prioritize problems, analyze and resolve issues.
• Manage the team members by ensuring that the tasks are completed on time.

Technical Skills Requirements

• Experience programming with object oriented and/or declarative languages
• Experience in developing REST services
• Highly experienced with back-end programming languages like Node JS
• Experience with developing web-based solutions using HTML 5, CSS/CSS3, JavaScript framework like Angular JS, React etc.
• Familiarity with database technology such as MySQL, Oracle and MongoDB
• Experience using modern software configuration management tools in an automated build environment such as Git, Azure Dev Ops etc.
• Azure/AWS knowledge is required
• Agile development experience
• Work closely with Product Management to plan and negotiate iterative development cycles in an Agile environment.
• Should have experience in architecting applications in Cloud
• Strong communication skills
• Ability to work in a team environment as well as individual contributor
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Ensuring non-functional aspect like high availability, scalability, security, performance, resiliency, cloud readiness & monitoring etc of partner integration are well crafted in architecture and design produced and are validated before & after implementation of application / enhancement / initiative / project etc.

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.

Job Description: EY GDS – Data and Analytics (D&A) – Sr.Manager – Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 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.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• 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.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 14+ years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

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.

Working in our practice, you will have the opportunity to work with clients to provide practical risk management, internal audit solutions and gaining valuable experience in a variety of clients.

Your key responsibilities

The current role requires leading internal audit and other risk consulting engagements for Real Estate construction companies. As part of the role, the candidate is expected to:

• Responsible for leading and executing client engagements and meeting the expectations of the client and the onsite team within the MENA region.
• Ability to interact with all levels of management, including C-Suite management
• Possess in-depth sector knowledge and practical experience in at least one of the following industries: Real Estate & Construction, Airport, or Aviation.
• Have thorough knowledge and understanding of Internal Audit methodology and IIA requirements.
• Deliver / manage engagements to time, cost and high quality.
• Identify key areas of improvement in the client's business processes and add value by preparing insightful recommendations.
• Contribute to business development activities such as preparing proposals, lead identification
• Always comply with the firm’s quality and risk management policies
• Manage multiple assignments and related project teams.
• Maintain excellent rapport and proactive communication with the client
• Mentor and coach junior team members, enabling them to meet their performance goals and successfully grow their careers
• Manage the engagement budgets and support superiors in developing marketing collaterals, business proposals and new solution / methodology development

Skills and attributes for success

• Exceptional command on spoken and written English
• Globally mobile and flexible to travel to onsite locations at a short notice
• Highly analytical, organised and meticulous consulting skills
• Demonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members
• Ability to multi-task, work well under pressure with commitment to deliver under tight deadline
• Strong organizational skills with ability to prioritize effectively
• Attention to detail and quality assurance
• Proficient in MS-Office Suite, data analysis & validation

To qualify for the role, you must have

• Bachelor’s degree in Engineering or relevant professional qualification such as CA, ACCA,CIA
• Experience in Internal Audit /Risk Management with Real Estate and Construction sector focus
• A minimum of 11 years of relevant work experience
• A valid passport for travel.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

About the Role

As a Senior Consultant in our Financial Services Risk and Compliance team, you will be responsible for delivering high-quality, risk-based internal audits across banking and financial institutions across MENA region. You will assess the effectiveness of internal controls, regulatory compliance, and governance assessments for processes, helping clients enhance governance and meet supervisory expectations.

Key Responsibilities

• Lead internal audit and compliance engagements for banks, insurers, and fintech’s across MENA.
• Conduct regulatory gap assessments (e.g., AML/KYC, Basel III, IFRS 9, FATCA/CRS).
• Develop audit plans, risk control matrices, and testing strategies tailored to local regulatory frameworks.
• Present findings and recommendations to CXOs and audit committees.
• Support regulatory remediation programs and enterprise risk transformation initiatives.
• Identify opportunities to enhance compliance processes, systems, and controls.
• Contribute to sustainability and efficiency improvements within the Regulatory Compliance function.
• Provide subject matter support on new and amended regulations and their practical application.
• Monitor key regulatory compliance risks and support mitigation efforts across the branch.
• Assist in preparing for regulatory inspections and onsite visits.
• Draft and communicate regulatory updates and guidance across the branch.
• Support delivery of compliance training sessions in line with the Compliance Training Program.
• Participate in regulatory compliance projects and initiatives.
• Assist in managing relationships with regulatory authorities and law enforcement bodies.
• Contribute to closure of internal audit findings related to regulatory compliance.

Qualifications and Skills

• Master’s degree in business administration (finance, economics) with at least 3-6 years of relevant work experience of which 2-3 years in financial services
• Exceptional command on spoken and written English
• Globally mobile and flexible to travel to onsite locations at a short notice
• Highly analytical, organised and meticulous consulting skills
• Demonstrating and applying strong project management skills, inspiring teamwork and responsibility with engagement team members
• Ability to multi-task, work well under pressure with commitment to deliver under tight deadline
• Attention to detail and quality assurance
• Proficient in MS-Office Suite, data analysis & validation

:EY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 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.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• 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.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 3-7 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Role Overview:

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 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.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• 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.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 8-11 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

Key Responsibilities:

The role requires strong expertise in BI/Visualization practice using Power BI, the candidate must have strong ability to:

• Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
• Working with the clients directly to understand the requirement and determine the optimum solutions
• Create technical solutions as per business needs by translating their requirements and finding innovative solution options
• Provide product and design level functional and technical expertise along with best practices
• Work both as a good team player and an individual contributor throughout design, development and delivery phases and stay with the focussed on the quality of the deliverable.
• Demonstrate willingness to upskill and take on new challenges
• Ability to quickly do POCs and demonstrate solutions to the client/onshore teams
• Get involved in business development activities like creating POCs, assist in RFPs, service offering development etc.
• Participate in organization-level initiatives & operational activities
• Ensure continual knowledge management and contribute to internal L&D teams

Qualifications:

BE/BTech/MCA/MBA with 3 - 5 years industry experience

Must have:

• PowerBI hands-on experience for a minimum of 3-5 years
• Strong proficiency in SQL/PLSQL
• Good experience in performance tuning reports and dashboards.
• Excellent communication skills to interact with and present solutions to stakeholders

Good to have:

• Working knowledge on other reporting tools like Tableau
• Good knowledge about data concepts such as Data Warehouses, Data Marts, data extraction, preparation processes
• Understanding of the importance of data governance and data security
• Experience on Banking and Capital Markets domains

People responsibilities:

• Prior Client facing skills and proven ability in effective planning, executing and problem-solving skills
• Multi-tasking attitude, flexible with ability to change priorities quickly
• Ability to plan resource requirements from high level specifications
• Ability to quickly understand and learn new technology/feature and should inspire change to make an impact within the team and in a client organisation

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.