15 Fairness 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.,

You will define AI/ML architectures, lead marquee customer engagements, and evangelize cutting-edge solutions in Generative AI (GenAI), Large Language Models (LLMs), AI Agents, and Responsible AI frameworks. The role demands a unique balance of strategic vision, hands-on technical delivery, and market-facing thought leadership. Job Title: Principal AI Architect - Consulting Technical Manager Location: India (Global role with cross-regional collaboration requires flexible time-zone support) Experience: 15-20 years total, with at least 8+ years in AI/ML solutioning and enterprise architecture Job Type: Full-time, Individual Contributor (Enterprise Architect calibre) Core Competencies Enterprise Architecture - Defining AI-enabled enterprise architectures that scale across industries. Generative AI & Agents - Proven expertise in LLMs, multi-modal AI, AI agent orchestration, and prompt/flow engineering. Cloud & Multi-cloud Strategy - Expert in Oracle Cloud Infrastructure (OCI) experience with AWS, Azure, GCP highly valued. AI/ML Engineering & MLOps - Strong grounding in ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow), CI/CD, observability, and governance. AI Security & Responsible AI - Knowledge of data privacy, fairness, explainability, model risk & compliance frameworks. Executive Engagement - Ability to communicate AI vision and ROI at board/executive level, while guiding technical teams on design/delivery. Innovation & GTM - Strong orientation towards IP reuse, accelerators, and GTM initiatives (proposals, bid defense, executive workshops). Qualifications & Experience 16-20 years in technology, with 8+ years in AI/ML, Data Science, or Advanced Analytics. Demonstrated track record in enterprise-scale AI/ML adoption-from discovery to production rollout. Proven hands-on expertise in GenAI, LLM fine-tuning, multi-modal AI, and intelligent agents. Deep experience with cloud-native deployments, vector databases, RAG architectures, and hybrid data pipelines. Strong expertise in MLOps, governance, and lifecycle management of AI models. Experience in executive-facing roles (CxO briefings, board-level AI strategy sessions). Bachelor's/Master's in Computer Science, Data Science, AI, or equivalent. PhD preferred but not mandatory. Contributions to AI thought leadership: patents, whitepapers, conference talks, or AI community initiatives. Key Responsibilities Enterprise AI Leadership Drive enterprise-wide AI/ML architecture strategy, ensuring alignment with business outcomes, data strategy, security, and compliance. Solution Design & Delivery Architect, prototype, and deliver production-grade AI systems across GenAI, LLMs, multi-modal AI, RAG pipelines, and intelligent agents. CxO Engagement Act as a trusted advisor to CIOs/CTOs/CDOs on AI adoption strategy, cloud-native transformation, and scaling AI beyond PoCs into production. Hands-on Technical Authority Remain deeply hands-on in architecting and integrating AI into enterprise landscapes (Fusion, EBS, custom apps, cloud-native stacks). Governance & Standards Establish AI architecture blueprints, reusable patterns, and governance frameworks (LLMOps, model risk management, AI security, EU AI Act compliance). Thought Leadership Represent the practice in customer-facing demos, conferences, and whitepapers influence Oracle's AI GTM and innovation roadmap. Cross-Studio Collaboration Partner with Cloud, Data & Analytics, and Security Studios to deliver end-to-end enterprise transformation solutions. Market & Innovation Focus Track global AI trends, vendor ecosystems (OpenAI, Cohere, Anthropic, HuggingFace), and continuously infuse market-leading innovation into delivery. Career Level - IC4

As the global leader in AI-powered contract intelligence, Icertis is dedicated to revolutionizing contract management for its customers. The Icertis platform provides powerful insights and automation, enabling businesses to increase revenue, manage costs, reduce risk, and ensure compliance. Trusted by over one third of the Fortune 100, Icertis helps customers realize the full potential of millions of commercial agreements across 90+ countries. The team at Icertis is driven by their commitment to contract intelligence and guided by their FORTE values - Fairness, Openness, Respect, Teamwork, and Execution. These values shape all interactions with employees, customers, partners, and stakeholders. Icertis aims to stay ahead in the industry by being the trusted contract intelligence platform for companies now and in the future. **Role Overview:** - Drive the revolution in contract management through AI-powered solutions - Provide customers with powerful insights and automation for efficient contract operations - Help businesses grow revenue, control costs, mitigate risk, and ensure compliance - Build and maintain strong relationships with customers to realize the full potential of their commercial agreements **Key Responsibilities:** - Utilize AI technology to enhance contract management processes - Analyze data and provide valuable insights to customers - Collaborate with cross-functional teams to deliver exceptional service to clients - Stay up-to-date with industry trends and best practices in contract management **Qualifications Required:** - Bachelor's degree in Business Administration, Law, or related field - Proven experience in contract management or related field - Strong analytical skills and attention to detail - Excellent communication and interpersonal abilities - Ability to thrive in a fast-paced and dynamic environment (Note: Additional details about the company were not provided in the job description.),

You will be joining Icertis, the global leader in AI-powered contract intelligence, where the Icertis platform is transforming contract management. By providing customers with valuable insights and automation, you will play a crucial role in helping businesses increase revenue, manage costs, reduce risk, and ensure compliance - key factors for achieving business success. With over one third of the Fortune 100 relying on Icertis, you will be part of a team that helps companies worldwide fulfill the potential of millions of commercial agreements across 90+ countries. At Icertis, our team is dedicated to staying ahead in the industry. Our commitment to contract intelligence is reflected in our FORTE values - Fairness, Openness, Respect, Teamwork, and Execution. These values serve as the foundation for all our interactions with employees, customers, partners, and stakeholders. As we strive to become the leading contract intelligence platform globally, we believe that the journey is just as important as the destination.,

Job Description Be the accountable leader for AI and data governance in LRCO operationalizing Responsible AI, risk, and data management controls while partnering with Data Owners to shape and execute the LRCO data strategy. You are passionate about turning governance into an accelerator not a blocker. Youll lead the frameworks, processes, and data foundations that let teams ship compliant, explainable AI and analytics at scale. Join us to set the standard for safe innovation in Legal & Regulatory Control Operations, from intake to production, across ML, NLP, retrieval, GenAI and automation. Job Summary As the AI & Data Governance Lead for Legal & Regulatory Control Operations (LRCO) , you will own the operating model that keeps our AI/ML and data-driven capabilities compliant, measurable, and scalable. Youll run end?to?end governance (intake, risk assessment, approvals, monitoring, audit readiness) and co?own the LRCO data strategy with our Data Owners and partners covering data architecture, lineage, taxonomy, quality, and consumption patterns. Youll partner across Product, Engineering/ML, Legal, DUC, MRGR, and Data Owners to embed controls (privacy, explainability, fairness, security, HITL) and to align with firmwide standards so we can deliver measurable customer value without compromising safety or compliance. Job Responsibilities Leverage strong communication skills to lead project teams through challenges and work with key stakeholders (higher, peer, lower in the organizational structure) via influencing and negotiating. Own the AI governance strategy for LRCO and embed it into the product roadmap aligning to firmwide and CCB procedures (registration, approvals, monitoring, documentation). Run the AI/ML governance tollgates (registration, governance forums, etc.) and ensure change?management reviews where applicable. Present on model risk governance: For determination of Model vs Analytical Tool designation, track submissions/waivers, secure approvals, and set ongoing monitoring and documentation standards. Operationalize Responsible AI controls with Legal/CCOR (HITL, fairness/bias, explainability, privacy, security) and maintain compliance with prohibited AI checks and EU AI Act classifications. Co?own LRCOs data strategy with Data Owners covering architecture, taxonomies, metadata/lineage, store registration, gold source consumption and retention, and quality SLAs. Establish robust evaluation & monitoring: offline/online testing, quality metrics (precision/recall), bias/fairness reviews, red?teaming, security testing, drift/latency monitoring, and incident playbooks. Define standards for GenAI platform usage: prompt and knowledge base governance, vector store and content filter policies, audit logging, and HITL acceptance criteria. Reporting & transparency: publish governance dashboards (use?case pipeline, model inventory, risk posture, benefits realization) and brief leadership and auditors. Coach and enablement: deliver training and playbooks to uplift LRCO teams on governance, privacy, data quality, and evaluation practices. Required Qualifications, Capabilities, And Skills Minimum 8 years in data governance, risk, compliance, or product; 3+ years leading AI/ML or GenAI governance in regulated environments. Bachelors degree required; advanced degree in data/AI, risk, or related field. Deep knowledge of AI/ML governance and model risk processes (model vs. analytical tool designation, submissions, controls, monitoring). Proficient knowledge of the product development life cycle, Experience in product life cycle activities, including discovery and requirements definition. In-depth knowledge of Agile process and principles, including use of Agile project management tools (i.e., Confluence, JIRA, Git, etc.) Strong grasp of Responsible AI practices (HITL, privacy, fairness, explainability) and awareness of EU AI Act categories and prohibited AI checks. Proven experience partnering with Legal and risk teams to translate policy into product and control requirements. Expertise in data management (lineage, metadata, taxonomy, store registration, data quality) and working with Data Owners. Fluency with data risk and privacy standards (data classification, retention, personal information policies). Strong stakeholder management across Product, Engineering/ML, CDAO, and business leaders; excellent written/spoken communication. Metrics?driven: defines KPIs (accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency) and builds telemetry for continuous improvement. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Were proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction. Show more Show less

Be the accountable leader for AI and data governance in LRCO operationalizing Responsible AI, risk, and data management controls while partnering with Data Owners to shape and execute the LRCO data strategy. You are passionate about turning governance into an accelerator not a blocker. You'll lead the frameworks, processes, and data foundations that let teams ship compliant, explainable AI and analytics at scale. Join us to set the standard for safe innovation in Legal & Regulatory Control Operations, from intake to production, across ML, NLP, retrieval, GenAI and automation. Job summary As the AI & Data Governance Lead for Legal & Regulatory Control Operations (LRCO) , you will own the operating model that keeps our AI/ML and data-driven capabilities compliant, measurable, and scalable. You'll run end?to?end governance (intake, risk assessment, approvals, monitoring, audit readiness) and co?own the LRCO data strategy with our Data Owners and partners covering data architecture, lineage, taxonomy, quality, and consumption patterns. You'll partner across Product, Engineering/ML, Legal, DUC, MRGR, and Data Owners to embed controls (privacy, explainability, fairness, security, HITL) and to align with firmwide standards so we can deliver measurable customer value without compromising safety or compliance. Job responsibilities Leverage strong communication skills to lead project teams through challenges and work with key stakeholders (higher, peer, lower in the organizational structure) via influencing and negotiating. Own the AI governance strategy for LRCO and embed it into the product roadmap aligning to firmwide and CCB procedures (registration, approvals, monitoring, documentation). Run the AI/ML governance tollgates (registration, governance forums, etc.) and ensure change?management reviews where applicable. Present on model risk governance: For determination of Model vs Analytical Tool designation, track submissions/waivers, secure approvals, and set ongoing monitoring and documentation standards. Operationalize Responsible AI controls with Legal/CCOR (HITL, fairness/bias, explainability, privacy, security) and maintain compliance with prohibited AI checks and EU AI Act classifications. Co?own LRCO's data strategy with Data Owners covering architecture, taxonomies, metadata/lineage, store registration, gold source consumption and retention, and quality SLAs. Establish robust evaluation & monitoring: offline/online testing, quality metrics (precision/recall), bias/fairness reviews, red?teaming, security testing, drift/latency monitoring, and incident playbooks. Define standards for GenAI platform usage: prompt and knowledge base governance, vector store and content filter policies, audit logging, and HITL acceptance criteria. Reporting & transparency: publish governance dashboards (use?case pipeline, model inventory, risk posture, benefits realization) and brief leadership and auditors. Coach and enablement: deliver training and playbooks to uplift LRCO teams on governance, privacy, data quality, and evaluation practices. Required qualifications, capabilities, and skills Minimum 8 years in data governance, risk, compliance, or product 3+ years leading AI/ML or GenAI governance in regulated environments. Bachelor's degree required advanced degree in data/AI, risk, or related field. Deep knowledge of AI/ML governance and model risk processes (model vs. analytical tool designation, submissions, controls, monitoring). Proficient knowledge of the product development life cycle, Experience in product life cycle activities, including discovery and requirements definition. In-depth knowledge of Agile process and principles, including use of Agile project management tools (i.e., Confluence, JIRA, Git, etc.) Strong grasp of Responsible AI practices (HITL, privacy, fairness, explainability) and awareness of EU AI Act categories and prohibited AI checks. Proven experience partnering with Legal and risk teams to translate policy into product and control requirements. Expertise in data management (lineage, metadata, taxonomy, store registration, data quality) and working with Data Owners. Fluency with data risk and privacy standards (data classification, retention, personal information policies). Strong stakeholder management across Product, Engineering/ML, CDAO, and business leaders excellent written/spoken communication. Metrics?driven: defines KPIs (accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency) and builds telemetry for continuous improvement.

You will define AI/ML architectures, lead marquee customer engagements, and evangelize cutting-edge solutions in Generative AI (GenAI), Large Language Models (LLMs), AI Agents, and Responsible AI frameworks. The role demands a unique balance of strategic vision, hands-on technical delivery, and market-facing thought leadership. Job Title: Principal AI Architect - Consulting Technical Manager Location: India (Global role with cross-regional collaboration requires flexible time-zone support) Experience: 15-20 years total, with at least 8+ years in AI/ML solutioning and enterprise architecture Job Type: Full-time, Individual Contributor (Enterprise Architect calibre) Core Competencies Enterprise Architecture - Defining AI-enabled enterprise architectures that scale across industries. Generative AI & Agents - Proven expertise in LLMs, multi-modal AI, AI agent orchestration, and prompt/flow engineering. Cloud & Multi-cloud Strategy - Expert in Oracle Cloud Infrastructure (OCI) experience with AWS, Azure, GCP highly valued. AI/ML Engineering & MLOps - Strong grounding in ML frameworks (LangChain, HuggingFace, PyTorch, TensorFlow), CI/CD, observability, and governance. AI Security & Responsible AI - Knowledge of data privacy, fairness, explainability, model risk & compliance frameworks. Executive Engagement - Ability to communicate AI vision and ROI at board/executive level, while guiding technical teams on design/delivery. Innovation & GTM - Strong orientation towards IP reuse, accelerators, and GTM initiatives (proposals, bid defense, executive workshops). Qualifications & Experience 16-20 years in technology, with 8+ years in AI/ML, Data Science, or Advanced Analytics. Demonstrated track record in enterprise-scale AI/ML adoption-from discovery to production rollout. Proven hands-on expertise in GenAI, LLM fine-tuning, multi-modal AI, and intelligent agents. Deep experience with cloud-native deployments, vector databases, RAG architectures, and hybrid data pipelines. Strong expertise in MLOps, governance, and lifecycle management of AI models. Experience in executive-facing roles (CxO briefings, board-level AI strategy sessions). Bachelor's/Master's in Computer Science, Data Science, AI, or equivalent. PhD preferred but not mandatory. Contributions to AI thought leadership: patents, whitepapers, conference talks, or AI community initiatives. Key Responsibilities Enterprise AI Leadership Drive enterprise-wide AI/ML architecture strategy, ensuring alignment with business outcomes, data strategy, security, and compliance. Solution Design & Delivery Architect, prototype, and deliver production-grade AI systems across GenAI, LLMs, multi-modal AI, RAG pipelines, and intelligent agents. CxO Engagement Act as a trusted advisor to CIOs/CTOs/CDOs on AI adoption strategy, cloud-native transformation, and scaling AI beyond PoCs into production. Hands-on Technical Authority Remain deeply hands-on in architecting and integrating AI into enterprise landscapes (Fusion, EBS, custom apps, cloud-native stacks). Governance & Standards Establish AI architecture blueprints, reusable patterns, and governance frameworks (LLMOps, model risk management, AI security, EU AI Act compliance). Thought Leadership Represent the practice in customer-facing demos, conferences, and whitepapers influence Oracle's AI GTM and innovation roadmap. Cross-Studio Collaboration Partner with Cloud, Data & Analytics, and Security Studios to deliver end-to-end enterprise transformation solutions. Market & Innovation Focus Track global AI trends, vendor ecosystems (OpenAI, Cohere, Anthropic, HuggingFace), and continuously infuse market-leading innovation into delivery. Career Level - IC4

You will be joining a global leader in AI-powered contract intelligence, Icertis. As part of the team, you will play a crucial role in revolutionizing contract management for customers worldwide. The Icertis platform provides customers with valuable insights and automation capabilities that contribute to revenue growth, cost control, risk mitigation, and compliance adherence - all essential elements for business success. Trusted by over one third of the Fortune 100 companies, Icertis operates in 90+ countries, helping clients realize the full potential of millions of commercial agreements. At Icertis, we embody a strong sense of commitment to contract intelligence. Our team is guided by the core FORTE values - Fairness, Openness, Respect, Teamwork, and Execution. These values shape our interactions with employees, customers, partners, and stakeholders. As we strive to lead as the contract intelligence platform globally, we emphasize that the journey is just as significant as the final destination.,

As a Consultant - Doctor at Kolors Skin Care Treatments, you will be responsible for providing skin treatments to patients at various locations including Bhimavaram, Nellore, Kurnool, Ananthapur, Karim Nagar, and Nizamabad. The ideal candidate should hold an MBBS degree with cosmetology experience, although freshers will also be considered. Your role will involve offering a range of skin treatments such as fairness and pimple treatment, dry and oily skin solutions, anti-aging treatment, deep scar removal, laser hair removal, skin polishing, mole and wart removal, under-eye dark circles treatment, wrinkle treatment, acne treatment, and dark spot treatment. In this position, you can expect a competitive salary along with incentives. The job requires an 8-hour shift and a commitment of 2 years. However, if you wish to leave the role, a 2-month prior notice is required. Weekends will be working days with the option to take one day off between Monday to Friday. This is a full-time, permanent job opportunity. Additionally, you will be eligible for benefits such as health insurance and provident fund. The preferred educational qualification is a Bachelor's degree, with an MBBS certification being mandatory. The work location will be in person at the designated clinic locations.,

As a Consultant - Doctor at Kolors Skin Care Treatments, you will be responsible for providing skin treatments such as Fairness and Pimple Treatment, Anti Ageing Treatment, Laser Hair Removal, Acne Treatment, and more. You will be required to have an MBBS qualification with Cosmetology experience, although freshers will also be considered for this position. The job location includes vacancies at Bhimavaram, Nellore, Kurnool, Ananthapur, Karim Nagar, and Nizamabad. This is a full-time, permanent position with an 8-hour shift. We expect a 2-year commitment from you, with a 2-month prior notice required if you decide to leave. Weekends are workdays, but you can choose any one day off from Monday to Friday. In addition to your salary, you will be eligible for incentives, health insurance, and Provident Fund benefits. The preferred education requirement is a Bachelor's degree, and MBBS certification is mandatory for this role. The work location will be in person at the clinic. If you are passionate about providing skin care treatments and are ready to commit to a challenging yet rewarding role, we encourage you to apply for the Consultant - Doctor position at Kolors Skin Care Treatments.,

At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We are united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success. About The Role And The Team We are looking for a dynamic individual to join our team at The Knot Worldwide. As a member of our innovative team, you will collaborate with a group of passionate individuals who are dedicated to creating impactful moments for our global community. This role offers the opportunity to work with award-winning teams and contribute to projects that span across various offices worldwide. Responsibilities - Drive innovation and experimentation to achieve desired outcomes. - Keep our global community at the forefront of all initiatives. - Strengthen team dynamics through respect, fairness, and inclusion. - Embrace urgency and take ownership of your responsibilities. - Foster a collaborative environment and contribute to team success. Successful Candidates Have - Strong problem-solving skills and a proactive mindset. - Excellent communication and interpersonal abilities. - Ability to prioritize tasks and meet deadlines effectively. - Experience in working within a global team setting. - Proficiency in relevant technical skills and tools. It's a Bonus If - You have experience in the tech industry. - You possess advanced data analysis capabilities. - You have a track record of successful project management. - Knowledge of multiple languages is a plus. At The Knot Worldwide, we believe in holistic support for our employees, offering a wide range of benefits that promote overall well-being and personal growth. We provide flexible vacation policies, generous parental leave, and prioritize initiatives that foster happiness and development among our team members. Privacy Notice: TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our Privacy Policy. If you wish to file a complaint, you may contact the competent data protection authority.,

As a Machine Learning Engineer (MLE) at Capco in Pune, with over 8 years of experience, you will be working in an inclusive environment that values diversity and individuality. Capco is a global technology and business consultancy specializing in the financial services sector, dedicated to helping clients succeed in an ever-evolving industry. Your key responsibilities will include having a strong understanding of LLM architectures, fine-tuning pre-trained models on domain-specific data, and working with concepts such as RAG, Prompt Engineering, and Vector DBs. You should also possess expertise in containerization and orchestration technologies like Kubernetes and Docker, along with in-depth knowledge of machine learning, deep learning, and NLP. Additionally, you will be managing prioritization and technology work for building NLP, ML & AI solutions, experimenting with LLM, and ensuring best practices for ML models integration and deployment. To excel in this role, you should have at least 8-10 years of experience in deploying end-to-end data science solutions, a strong technical background from a top-tier institute, and proficiency in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformer. Skills in Python, SQL, Pandas, Pyspark, GitHub, Confluence, JIRA, and cloud platforms like Azure or GCP are essential. Moreover, experience in stakeholder management, communication, and presentation skills are required to effectively present technical solutions and features in business terms. At Capco, you will have the opportunity to work on projects that will revolutionize the financial services industry, along with a work culture focused on innovation, ongoing learning opportunities, a flat non-hierarchical structure, and competitive family-friendly benefits. If you are excited about advancing your career with Capco, we encourage you to apply and join us in creating lasting value for clients and employees. For more information about Capco and its people, please visit www.capco.com.,

As a Senior Scientist specializing in Responsible AI & Research Integration, you will be playing a critical role in bridging the gap between academic research in AI safety and the practical development of AI products. Based in Bangalore, this high-impact position requires 10 to 18 years of experience in the field. Your primary responsibility will be to advance the frontiers of Responsible AI and AI safety through both foundational and applied research. Approximately 60% of your time will be dedicated to conducting research on topics such as model alignment, transparency, behavioral safety, and oversight mechanisms for autonomous systems. The remaining 40% will involve translating these research insights into practical tools, features, and governance components that can be integrated into internal systems and external offerings. Collaboration will be key in this role, as you will work closely with the AI Research Lab and Responsible AI Office to define research agendas and translate findings into product features and governance frameworks. Additionally, you will be involved in building partnerships with academic labs, participating in external working groups, and providing strategic intelligence on the evolving ecosystem of responsible AI technologies and companies. Your responsibilities will also include developing product roadmap specifications, evaluating early-stage startups in the AI safety space, and monitoring the competitive landscape to identify market gaps in responsible AI tooling. Building collaborative relationships with academic labs, research consortia, and external fellows, as well as representing the company in research summits and public forums, will be part of your external engagement activities. To excel in this role, you should have a PhD in Computer Science, Artificial Intelligence, or a related discipline, with a strong publication record in AI safety research. Experience in translating research into production-ready tools, collaborating with interdisciplinary teams, and evaluating early-stage AI companies will be essential. Strong communication skills, the ability to synthesize insights from academic research, and a network within the responsible AI research community will also be valuable assets. If you are passionate about driving advancements in Responsible AI, thriving at the intersection of science, systems thinking, and strategic influence, and have a track record of contributing to cutting-edge research and product development, this role offers a unique opportunity to make a significant impact in the field.,

As part of the team at Softweb, you will be joining a group of individuals who value skills and commitment. Our team is made up of long-term employees who are always eager to tackle new challenges. If you believe you have the ability to offer solutions to significant problems, then Softweb is the ideal place for you. Our core values center around flexibility, transparency, fairness, and growth. We have fostered a culture that fosters an open exchange of ideas, promotes innovation, and encourages the sharing of thoughts. If you are interested in joining our team, please contact us at hr@softweb.co.in or reach out to us at (+91) 3324769351.,

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.,