10 Ethical Considerations Jobs

Role Overview: You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems. 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, utilizing 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 like Azure Open AI GPT models and Hugging Face Transformers to 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 for efficient handling of large-scale generative AI datasets. - Implement similarity search algorithms to enable efficient retrieval of information from generative AI outputs. - Collaborate with domain experts, stakeholders, and clients to tailor generative AI solutions based on specific business requirements. - Conduct research on advanced AI techniques to enhance performance and efficiency. - Establish evaluation metrics to assess the quality and relevance of generative AI outputs. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Utilize data engineering skills for data curation, cleaning, and preprocessing for generative AI applications. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Ph.D. is a plus. - Minimum 3-7 years of experience in Data Science and Machine Learning. - Proficiency in programming languages like Python, R, and frameworks such as TensorFlow or PyTorch. - Strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models. - Familiarity with computer vision techniques. - Experience with cloud platforms like Azure, AWS, or GCP for deploying AI solutions. - Knowledge of trusted AI practices ensuring fairness, transparency, and accountability. - Strong collaboration skills with software engineering and operations teams. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Understanding of data privacy, security, and ethical considerations. - Track record of innovation and staying updated with AI research and advancements.,

As a Lead Technical Consultant at Perficient, you will play a crucial role in the software development lifecycle by engaging in various tasks such as estimating, technical design, implementation, documentation, testing, deployment, and support of applications for our clients. Your proficiency in utilizing AI technologies will be essential in driving innovation, supporting strategic initiatives, and facilitating data-driven decision-making. It is important that you possess a deep understanding of AI capabilities, limitations, and ethical considerations. Perficient is a global AI-first consultancy that collaborates with innovative enterprises and renowned brands to deliver tangible business outcomes through the transformative potential of AI. Embracing an AI-First approach, we encourage all our employees to enhance their AI expertise and actively interact with AI tools to foster innovation and enhance operational efficiency. At Perficient, we challenge conventions, prioritize results, and actively shape the future for our clients. This is an opportunity to be part of a company where groundbreaking concepts and exceptional talents converge to redefine boundaries and create new possibilities all while nurturing a career that offers continuous development, equilibrium, and meaningful purpose.,

As a Psychology Teacher at our prestigious Cambridge Board School, you will play a crucial role in shaping the minds of high school students. Your strong background in psychology and education will be key in creating impactful learning experiences for our students. Your responsibilities will include developing engaging lesson plans that cater to the diverse learning styles of students, delivering dynamic lectures that bring psychological theories to life, and facilitating discussions on a wide range of topics within the field of psychology. Your deep understanding of research methods, psychological theories, and ethical considerations will guide your teaching approach. Beyond the classroom, you will provide valuable guidance and support to students, contribute to curriculum development efforts, and actively participate in school events and activities. Your excellent communication skills, collaborative mindset, and dedication to creating a positive learning environment will be instrumental in fostering student growth and success. If you are a motivated and enthusiastic individual with a passion for psychology and education, we invite you to seize this opportunity to inspire and make a meaningful impact in the lives of our students. Join us in our mission to cultivate a community of lifelong learners and future leaders.,

As a Senior Data Scientist at EY, you will be part of a dynamic team where you can leverage your unique skills and experience to contribute to the development and implementation of cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, preferably with expertise in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a key role in designing and implementing AI models and systems. Your responsibilities will include collaborating with stakeholders to identify business opportunities, staying updated with the latest advancements in generative AI techniques such as LLMs, and utilizing tools like Azure Open AI GPT models and Hugging Face Transformers to enhance generative AI capabilities. Additionally, you will be responsible for implementing end-to-end pipelines for generative AI projects, conducting research on advanced AI techniques, and ensuring compliance with data privacy, security, and ethical considerations in AI applications. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with a Ph.D. being a plus. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch is required, along with a strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Experience with cloud platforms such as Azure, AWS, or GCP and expertise in data engineering, trusted AI practices, and collaboration with software engineering and operations teams are also essential. In addition to the core requirements, having skills in optimization tools, DevOps, MLOps practices, CI/CD pipelines, infrastructure as code principles, and monitoring and logging tools will be advantageous. By joining EY, you will have the opportunity to contribute to building a better working world by driving innovation, staying updated with the latest AI research, and collaborating effectively with stakeholders at various levels. EY is dedicated to creating long-term value for clients, people, and society while building trust in the capital markets through diverse teams in over 150 countries. With a focus on assurance, consulting, law, strategy, tax, and transactions, EY teams aim to find new answers to the complex issues facing the world today.,

At PwC, our team in data and analytics engineering focuses on utilizing advanced technologies and techniques to create robust data solutions for clients. You will be instrumental in converting raw data into actionable insights, empowering informed decision-making, and fostering business growth. If you specialize in artificial intelligence and machine learning, your primary responsibility will be developing and implementing cutting-edge AI and ML solutions to drive innovation and optimize business processes. Your tasks will include designing and refining algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with over 15 years of hands-on experience are preferred for this role. **Must Have:** - Knowledge of the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges - Understanding of conversational data (chats, emails, and calls) to train Conversational AI systems - Proficiency in CCaaS platforms like NiceCX, Genesys, Cisco, etc., including their architecture, functionalities, and integration capabilities - Familiarity with contact center metrics such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) - Understanding of sentiment analysis, topic modeling, and text classification techniques - Proficiency in data visualization tools like Tableau, Power BI, Quicksight, and others - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics - Expertise in NLU Verticals: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI - Application of advanced statistical and machine learning techniques to analyze extensive datasets and create predictive models and algorithms to enhance contact center performance **Nice To Have:** - Proficiency in programming languages such as Python, Pyspark, R, SQL - Strong grasp of data science principles, statistical analysis, and machine learning techniques - Experience in predictive modeling - Skills in regression analysis, time series forecasting, clustering, and NLP techniques - Knowledge of distributed computing frameworks like Hadoop and Spark for processing large data volumes - Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data - Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), along with ethical considerations in data science and responsible AI practices **Educational Background:** - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

At EY, you'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'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. 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 include contributing to the design and implementation of state-of-the-art AI solutions, assisting in the development and implementation of AI models and systems, collaborating with stakeholders to identify business opportunities, staying updated with the latest advancements in generative AI techniques, utilizing generative AI techniques to develop innovative solutions for enterprise industry use cases, integrating with relevant APIs and libraries, implementing and optimizing end-to-end pipelines for generative AI projects, utilizing databases and search algorithms, collaborating with domain experts, conducting research and evaluation of advanced AI techniques, establishing evaluation metrics, ensuring compliance with data privacy, security, and ethical considerations, and leveraging data engineering skills. Requirements for this role include a Bachelor's or Master's degree in Computer Science, Engineering, or a related field (Ph.D. is a plus), 3-7 years of experience in Data Science and Machine Learning, knowledge of machine learning, deep learning, and generative AI techniques, proficiency in programming languages and frameworks, familiarity with cloud platforms, expertise in data engineering, knowledge of trusted AI practices, collaboration skills, problem-solving abilities, communication skills, and understanding of data privacy and security considerations. Good to have skills include applying trusted AI practices, utilizing optimization tools and techniques, driving DevOps and MLOps practices, implementing CI/CD pipelines, using infrastructure as code principles, monitoring and logging tools, and collaborating with software engineering and operations teams for efficient AI model integration and deployment. 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.,

As a Principal Generative AI (GenAI) Engineer at Velocity Clinical Research, you play a crucial role in developing and implementing advanced Generative AI solutions to drive innovation and create business value. Your responsibilities include designing, optimizing, and deploying cutting-edge AI models and techniques such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Working closely with cross-functional teams, you will integrate these technologies into products and services to ensure they meet performance and business requirements. Your deep understanding of AI and continuous awareness of the latest advancements will be vital in shaping the future of AI capabilities at Velocity. Your duties involve actively designing, developing, and deploying advanced Generative AI applications using techniques like prompt engineering and RAG. Collaborating with data scientists, ML engineers, and product teams, you will translate business requirements into scalable GenAI applications. You will experiment with new Generative AI techniques, evaluate models rigorously, and explore agentic frameworks to develop AI systems capable of autonomous decision-making. Staying updated with Generative AI research, you will optimize models for real-world deployment, integrate them into production environments, and contribute to best practices specific to Generative AI technologies. To excel in this role, you must possess a deep understanding of machine learning algorithms, neural networks, and natural language processing. Expertise in working with Generative AI models, prompt engineering, and RAG techniques is essential. Proficiency in programming languages like Python, TensorFlow, and PyTorch, as well as experience with data pre-processing, ethical considerations in AI model development, and software engineering skills are required. You should be able to build, deploy, and maintain scalable AI/ML pipelines, work with APIs and microservices architecture, and demonstrate strong problem-solving skills and a passion for innovation in AI. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with a Ph.D. preferred. With at least 8 years of software engineering experience, including 4+ years focused on AI/ML, and a background in Generative AI technologies, you should also have experience with LLMs like GPT and BERT. Effective communication skills, mentorship abilities, and a proven track record of developing production-level AI/ML solutions are essential for success in this role. Please note that this Job Description provides a general overview of the position's function and is not an exhaustive list of specific tasks. Job duties are subject to change based on Company and departmental needs. All employees are expected to perform their duties to the best of their abilities and as requested by management.,

As a Senior AI Engineer (Tech Lead) at EY, you will have the opportunity to leverage your technical expertise to develop and implement cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, including NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a crucial role in driving innovation and creating impactful solutions for enterprise industry use cases. Your responsibilities will include contributing to the design and implementation of state-of-the-art AI solutions, leading a team of 4-6 developers, and collaborating with stakeholders to identify business opportunities and define AI project goals. You will stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. By utilizing generative AI techniques, such as LLMs and Agentic Framework, you will develop innovative solutions tailored to specific business requirements. Your role will also involve integrating with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities. Additionally, you will be responsible for implementing and optimizing end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Your expertise in data engineering, DevOps, and MLOps practices will be valuable in curating, cleaning, and preprocessing large-scale datasets for generative AI applications. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and demonstrate proficiency in Python, Data Science, Machine Learning, OCR, and document intelligence. Strong collaboration with software engineering and operations teams, along with excellent problem-solving and analytical skills, will be essential in translating business requirements into technical solutions. Moreover, your familiarity with trusted AI practices, data privacy, security, and ethical considerations will ensure the fairness, transparency, and accountability of AI models and systems. Additionally, having a solid understanding of NLP techniques, frameworks like TensorFlow or PyTorch, and cloud platforms such as Azure, AWS, or GCP will be beneficial in deploying AI solutions in a cloud environment. Proficiency in designing or interacting with agent-based AI architectures, implementing optimization tools and techniques, and driving DevOps and MLOps practices will also be advantageous in enhancing the performance and efficiency of AI models. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all through the power of AI and technology.,

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

As a Company Secretary within our organization, your primary responsibility will be to ensure timely and accurate adherence to the provisions of the Companies Act, 2013, in compliance with all relevant statutes, rules, and regulations. You will be overseeing the filing process with the Ministry of Corporate Affairs (MCA) and other regulatory bodies. It is essential to stay updated on changes in corporate and securities laws and regulations to provide informed advice to management and the Board. You will be accountable for maintaining statutory registers and records as mandated by the Companies Act and other applicable laws. Additionally, your role will involve managing intellectual property matters, contracts, and other legal documentation. Upholding best practices in corporate governance throughout the organization is a key aspect of your responsibilities. In collaboration with the team, you will assist in the development, implementation, and continuous enhancement of corporate governance policies and procedures. Providing counsel on ethical considerations, corporate social responsibility, and ensuring compliance with listing agreements and regulatory frameworks will be integral to your role. Your duties will also include drafting, reviewing, and negotiating various legal agreements and contracts. Overseeing the incorporation process of new entities, managing share transfers, and providing support in matters related to mergers, acquisitions, and corporate restructuring are part of your responsibilities. To excel in this role, you must be a qualified Company Secretary (ACS/FCS) and a member of the Institute of Company Secretaries of India (ICSI). A strong understanding of company law, compliance obligations, and corporate governance principles is essential. Excellent verbal and written communication skills are required to effectively simplify and communicate complex legal and regulatory matters with clarity and precision. If you are looking for a position where you can utilize your expertise in company secretarial practices and contribute to maintaining high standards of corporate governance, this role offers an exciting opportunity to make a significant impact within our organization.,