13 Supervised Learning Jobs

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Title Machine Learning Lead Analyst Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. As a AI Prompt Engineer, you will be joining a team transforming healthcare and improving the lives and vitality of the millions of members we serve. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. & Responsibilities: Build scalable software solutions using LLM’s and other ML models to solve challenges in healthcare. Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required – This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles. Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies. Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 6+ years of experience 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLM’s, text embedding’s. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C/C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

What You'll Do: You will work directly as part of AA CoE and be a part of analytics focused projects across statistics, optimization & simulations, machine learning and Big Data. Your role will involve design and implementation of advanced statistical analysis and machine learning algorithms to derive business insights and solve complex business problems. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations. You may also be responsible for presenting results to management and implementing recommendations with team members. Youll have the opportunity to gain new skills and build on the strengths you bring to the company. Main task: • Design and implement machine-learning models to support the businesss numerous initiatives and programs with a view of achieving overall objectives and targets • Successful documentation of reusable code • Achieve personal technical development and learning goals • Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc. Participate in and help plan cultural initiatives for CoE Qualifications • University degree in Computer Science, Engineering, Applied Mathematics or related fields and excellent academic record required; Master’s degree in above mentioned subjects preferred • 2-3 years of technical experience in handling large datasets and applying advanced statistical and machine learning algorithms • Hand-on experience in methodologies such as: Supervised and Unsupervised Learning, Feature Engineering, Bayesian Statistics, Frequentist Statistics, Optimization, Time Series, Graph/Network Theory, Reinforcement Learning, Deep Learning, Computer Vision, NLP, Interpretable AI, etc. • Proficiency with at least one of the following languages: R, Python, SAS and experience of working with SQL/NoSQL databases • Experience of working on platforms such as GCP, Dataiku, AWS, Azure, etc. • Stakeholder management skills with ability to communicate and work with senior management effectively • Skills to communicate complex ideas effectively Interested candidates can send their resume on a mail - Resumesktk@muthootgroup.com

Job Description: We are seeking a highly motivated and skilled AI Developer to join our dynamic team. The ideal candidate should have hands-on experience in designing, developing, and deploying AI and machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and product teams to build intelligent applications. Key Responsibilities: Design and develop AI/ML models based on business requirements Preprocess and analyze structured and unstructured data Implement Deep Learning and NLP algorithms using frameworks like TensorFlow, PyTorch, and Scikit-learn Collaborate with software engineers to integrate models into production environments Build and optimize pipelines for data ingestion, model training, and inference Monitor model performance and retrain as needed Research and implement state-of-the-art algorithms Create dashboards or front-end demos using Streamlit or similar tools (optional) Key Skills Required: Programming: Python (Must), R (Optional), Java (Good to have) AI/ML: TensorFlow, PyTorch, Keras, Scikit-learn Data Science: Pandas, NumPy, Matplotlib, Seaborn NLP: Hugging Face Transformers, NLTK, SpaCy Computer Vision: OpenCV, YOLO, CNNs Model Deployment: Flask, FastAPI, Docker, AWS/Azure/GCP Databases: SQL, MongoDB, Firebase (optional) Version Control: Git, GitHub Preferred Qualifications: Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field Strong mathematical foundation in statistics, linear algebra, and probability Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Why Join Us? Work on cutting-edge AI solutions Collaborative and inclusive work environment Opportunity to grow in a fast-paced tech-driven organization Exposure to real-world enterprise and consumer AI applications

Machine Learning Subject Matter Expert (SME) Course Creator We are seeking a Machine Learning Subject Matter Expert (SME) – Course Creator to design and develop engaging, high-quality machine learning (ML) courses aligned with our instructional design framework. The ideal candidate will collaborate with instructional designers, content developers, and multimedia teams to create learner-focused courses that cater to a global audience. Key Responsibilities: Design and structure machine learning courses for us, ensuring alignment with industry trends and best practices. Develop course modules, learning objectives, assessments, quizzes, and capstone projects to enhance learning outcomes. Create engaging content using Jupyter Notebooks, Python, TensorFlow, PyTorch, Scikit-learn, and other ML tools. Integrate real-world case studies, hands-on coding exercises, and interactive learning experiences. Work closely with instructional designers to implement pedagogically sound teaching methodologies (e.g., project-based learning, microlearning). Develop video scripts, slide decks, and supplementary materials for the hosted courses. Ensure content is accessible, interactive, and aligned with our Learning Experience Platform (LXP). Stay up to date with emerging ML trends, AI advancements, and our course creation guidelines. Required Skills & Qualifications: Master’s or Ph.D. in Machine Learning, Data Science, Computer Science, or a related field. 5+ years of experience in ML research, development, or teaching. Expertise in Python, TensorFlow, PyTorch, Scikit-learn, and other ML libraries. Experience in building and deploying ML models in real-world applications. Strong understanding of supervised, unsupervised, deep learning, and reinforcement learning techniques. Familiarity with cloud-based ML platforms (AWS, GCP, Azure ML). Prior experience in creating online courses, MOOCs, or technical content for learning platforms like Coursera, Udacity, or edX. Ability to explain complex ML concepts in a simple, engaging, and interactive manner. Strong technical writing and communication skills. Preferred Qualifications: Experience working with LMS platforms and course creation tools (Articulate, Camtasia, Jupyter Notebooks). Knowledge of AI ethics, explainable AI (XAI), and responsible AI development. Previous experience as a course instructor, mentor, or content contributor.

About the job: Key responsibilities: 1. Manage facility operations, maintenance, and project supervision 2. Oversee staff management and coordinate with external vendors 3. Communicate effectively and build strong interpersonal relationships 4. Solve problems and pay attention to detail 5. Ensure compliance with regulatory and safety standards 6. Work independently and manage multiple tasks efficiently 7. Apply experience in real estate or property management (a plus) 8. Hold a Bachelor's degree in Business Administration, Property Management, or a related field Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,40,000 - 3,60,000 /year Experience: 1 year(s) Deadline: 2025-06-16 23:59:59 Skills required: Project Management, Time Management, Teamwork, Effective Communication, Supervised Learning and Collaboration About Company: Founded in 2020, Triluxo Technologies provides innovative and cutting-edge technology-based solutions around the world for virtual learning. Triluxo is an emerging startup with a vision and mission of providing quality education with an inclusive spirit. With great minds, we desire to foster a love of learning among our users.

Role Overview: We are seeking a skilled and experienced Data Scientist with a minimum of 3 years of experience, including strong exposure to DevOps tools, AI/ML, and MLOps frameworks. The ideal candidate will work closely with data engineers, machine learning engineers, and product teams to develop, deploy, and maintain machine learning models while ensuring seamless integration with CI/CD pipelines. Key Responsibilities: Design, build, and optimize machine learning models for large-scale datasets. Collaborate with data engineers to preprocess, clean, and organize data for machine learning pipelines. Implement and automate the deployment of machine learning models into production using MLOps practices. Utilize DevOps tools to integrate ML models into continuous integration/continuous deployment (CI/CD) pipelines. Conduct exploratory data analysis, feature engineering, and algorithm selection. Develop and maintain model monitoring and retraining pipelines to ensure optimal model performance over time. Provide data-driven insights and recommendations to product and business teams. Collaborate with cross-functional teams including software developers, data engineers, and DevOps engineers. Required Qualifications: Experience: 3+ years in Data Science, with exposure to AI/ML model development and deployment. Education: Bachelor's or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. Technical Skills: Proficiency in Python and libraries like Pandas, Scikit-learn, TensorFlow, PyTorch, etc. Strong understanding of machine learning algorithms (supervised/unsupervised learning, reinforcement learning). Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Familiarity with DevOps tools such as Jenkins, Git, GitLab CI, or similar for CI/CD integration. Experience with MLOps tools such as MLflow, Kubeflow, or similar for model management and deployment. Experience working with big data frameworks (Hadoop, Spark) is a plus. Knowledge of REST APIs and microservices architecture is a bonus. Soft Skills: Strong problem-solving abilities and analytical thinking. Excellent communication and collaboration skills. Ability to work in a fast-paced environment and manage multiple projects. Nice to Have: Knowledge of NLP, Computer Vision, or deep learning techniques. Experience with version control for models and data pipelines. Prior experience in A/B testing and experiment tracking.

Join a Global Initiative: AI Ethics & Ethical Digital Transformation Are you a Data Scientist, LLM Developer, Machine Learning Engineer, or AI Researcher passionate about building ethical AI solutions ? Do you believe in the responsible development of Large Language Models (LLMs) and AI-driven digital transformation with a global impact? If so, we invite you to be part of an ambitious movement to shape AI Ethics, Governance, and Responsible Innovation . We are assembling a global team of hardcore AI programmers, ML engineers, LLM experts, researchers, and cybersecurity professionals willing to contribute their expertise to build AI solutions that prioritize ethics, fairness, and transparency . This is an opportunity to collaborate with top minds, drive meaningful change, and influence global AI policies . Who Should Apply? LLM Developers & AI Engineers Experienced in fine-tuning, deploying, and securing large-scale AI models Machine Learning & Deep Learning Experts Passionate about cutting-edge AI research and responsible AI design Data Scientists & AI Researchers – Working on AI fairness, bias mitigation, and risk assessments AI Governance & Policy Leaders – Experts in AI ethics, regulation, and compliance Cybersecurity & Privacy Experts – Advocates for AI security, data privacy, and adversarial robustness Tech Mentors & Educators – Willing to guide students, researchers, and startups in responsible AI adoption Startup Founders & Ethical Innovators – Interested in AI-driven, impact-first ventures Roles & Responsibilities AI Ethics & Governance – Contribute to ethical AI frameworks, regulatory policies, and responsible AI design LLM Optimization & Alignment – Build, fine-tune, and align LLMs for responsible AI applications Bias & Fairness Audits – Develop methodologies to detect and mitigate AI biases in real-world models Cybersecurity & AI Risk Management – Strengthen AI security against adversarial attacks and cyber threats Industry-Academia Partnerships – Facilitate research collaborations for AI ethics and compliance Student Mentorship & Training – Conduct AI workshops, research programs, and global AI challenges Thought Leadership & Research – Publish papers, case studies, and policy recommendations on AI ethics Why Join Us? Shape the Future of AI – Define responsible AI practices at a global scale Work with Global AI Leaders – Collaborate with top researchers, engineers, and policymakers Mentor the Next Generation – Empower students, researchers, and startups to build ethical AI No Corporate Bias, Pure Mission – A self-supported initiative dedicated to global AI ethics & welfare Work on Cutting-Edge AI Challenges – Address AI risks, cybersecurity threats, and ethical dilemmas Location & Commitment Remote & Global – Work from anywhere, collaborate across time zones Flexible Engagement – Contribute as per availability (mentorship, research, policy, or thought leadership) Freshers seeking assignments can also apply and encourage students and every professional who reads it, irrespective of their education background (Arts, Science, Humanity, Social Work, Media etc too to explore this opportunity) How to Apply? If you are ready to co-create the future of AI ethics & digital transformation , Express your interest by filling our questionnaire

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!? Our people make all the difference in our success.? We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. ?Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Job Description & Responsibilities: Build scalable software solutions using LLMs and other ML models to solve challenges in healthcare. Build enterprise grade AI solutions with focus on privacy, security, fairness. Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions Strong engineering skills to design the output from the AI with nodes and nested nodes in JSON or array, HTML formats as required This is critical so that the AI output can be consumed as is and displayed on the dashboard for accelerated development cycles Build extensible API Integrations, low code UI/UX solutions, with extremely short cycle times, to extract information from sources, integrate with GPT4, receive insights and make them available in intuitive, high performing dashboards? Build solutions that align with responsible AI practices. Envision the solution outcomes to solve for the business problem with actionable insights and design viable solutions to meet the outcomes. Understand how AI is interpreting the data set and use that understanding to build prompts that lead to expected outcomes Architect and develop software or infrastructure for scalable, distributed systems and with machine learning technologies.? Work with frameworks(Tensorflow, PyTorch) and open source platforms like Hugging Face to deliver the best solutions Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contribute to the establishment of best practices and standards for generative AI development within the organization. Experience Required: Overall 10+ years of experience 5 years of Full stack engineering expertise with languages like C#, Python and Proficiency in designing architecture, building API Integrations, configuring and deploying cloud services, setting up authentication, monitoring and logging? Experience in implementing enterprise systems in production setting for AI, computer vision, natural language processing. Exposure to self-supervised learning, transfer learning, and reinforcement learning is a plus. Experience with information storage/retrieval using vector databases like pinecone. Strong understanding and exposure in natural language generation or Gen AI like transformers, LLMs, text embeddings. Experience with designing scalable software systems for classification, text extraction/summary, data connectors for different formats (pdf, csv, doc, etc) Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. Programming experience in C/C++, Java, Python. Strong knowledge of data structures, algorithms, and software engineering principles. Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Experience Desired: Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Healthcare experience (preferred but not mandate) Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field

Data scientist: Experience: 5-8 years Locations: Hyderabad,Bangalore,Pune,Chennai,Delhi,Kolkatta& Mumbai Immediate joiners Only Role & responsibilities : Job Description: :- Experience creating and using machine learning algorithms and statistics: regression, clustering, decision trees, neural networks, etc. Strong understanding of supervised & unsupervised ML Techniques. Experience statistical computer languages: R, Python etc., Basic knowledge to fetch data from Database like SQL or any cloud resource name it AWS / ADLS Basic knowledge on any Visualization tools like Power BI, Tableau etc., Doing ad-hoc analysis and presenting results in a clear manner. Experience working with and creating data architectures. Strong written and verbal communications skills; comfortable communicating with senior levels of both business and technology leadership. Should be proactive in driving large analytic projects and programs to completion. Explore the big data machine learning models Worked with client projects. Interested candidates can reach out to 7661922227

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance." Accenture's S&C Global Network Data & AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but that's why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again!"" We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Responsibilities: As a client-facing in Responsible AI, you will consult with Accenture's clients on how to design & develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI & machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI & Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles & tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of client's business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives & competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Qualifications Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3-10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting Global Network Practice :- Responsible AI COE Title :- Responsible AI Specialist/ Sr. Analyst Job location :- Bangalore/Gurgaon/Pune/ Hyderabad/Chennai/Mumbai The rapid development of AI is creating new opportunities to improve the lives of people around the world, from business to healthcare to education. As a result, it is also raising new questions about the best way to build fairness, interpretability, privacy and security into these systems. The Data and AI revolution is changing everything. It's everywhere transforming how we work and play. Join Accenture and help transform leading companies and communities around the world. Accenture is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate, and deliver value provides an unparalleled opportunity to grow and advance." Accenture's SC Global Network Data AI team covers the range of skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with our broader Strategy and Consulting practice, we bring a unique ability to drive end to end business change through the application of Data and AI. At the forefront of the industry, you'll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We're not just focused on increasing revenues our technologies and innovations are making millions of lives easier and more comfortable. But above all, we're doing this responsibly and inclusively to make sure AI technology is used equitably and in a way that is both ethically and technically sound. Join us and become an integral part of our global Responsible AI team with the credibility, expertise and insight clients depend on. There will never be a typical day at Accenture, but that's why people love it here. You will be working with famous brands and household names no worrying about how to explain what you do to your family again!"" We are looking for experienced and motivated individuals who will be a part of the Responsible AI Centre of Excellence (COE) within Accenture to join our multi-disciplinary Responsible AI team . We are committed to help people build AI products/solutions/services in a responsible and trustworthy manner. The ideal candidate should have a strong client-facing consulting background in data science/analytics with an ability to pick up new technologies very quickly . He/she will be passionate about understanding the impact of AI systems on people and society and will have a track record in using tools to undertake assessments such as Fairness/Bias, Explainability, Model Validation and Robustness, to assess model behaviour through a Responsibility lens. Being a part of Accenture will help you grow both professionally and personally as you help shape our thinking and approaches to Responsible AI, working alongside world-class academics, industry leaders and practitioners. Responsible AI is a key strategic priority for Accenture and we're looking for the very best in the field to help us meet our ambitious goals in this space. Qualifications Responsibilities: As a client-facing in Responsible AI, you will consult with Accentures clients on how to design develop reliable, effective user-centered AI systems in adherence to general best practices for software systems, together with practices that address responsibility considerations unique to AI machine learning. You will also be expected to contribute to research on how AI systems can be designed holistically with fairness, interpretability, privacy, security, safety, and robustness built in by design. As part of our team, you will: Be a subject matter expert on technical aspects of Responsible AI Data Collaborate with colleagues to develop best practices, frameworks, tools for scalable implementation of Responsible AI in enterprises Conduct research on Responsible AI policies, principles, issues, risk identification, risk remediation, regulatory requirements, latest trends etc. Bring a strong conceptual understanding of Responsible AI, principles tools with experience of using these tools in close collaboration with internal and external stakeholders/clients Evaluate and implement technical best practices and tools for fairness, explainability, transparency, accountability, and other relevant aspects of Responsible AI Develop a clear understanding of clients business issues to adopt the best approach to implement the Responsible AI Framework Establish a consistent and collaborative presence by partnering with clients to understand the wider business goals, objectives competitive constraints Provide thought leadership by publishing in public forums/conferences/blogs on Responsible AI products, research or developments Leading diverse and well-qualified RAI team. Skillset Requirements: Education :- PhD / Masters / Bachelors degree in Statistics / Economics / Mathematics /Computer Science / Physics or related disciplines from Premier Colleges in India or Abroad. Specialization in Data Science. Must Have 3 10 years of Hands-on Data science experience in solving real life complex business problems Minimum 1 years experience in enhancing AI systems to meet Responsible AI principles - Explainability, Fairness, Accountability, etc. Passionate about understanding the impact of AI systems on people and society Hands-on experience of using techniques such as data bias testing (e.g. for under-represented groups, proxy variables, recall bias, skew etc), Explainability (e.g. SHAP values, LIME), sensitivity testing, repeatability and similar to understand model limitations. Demonstrated experience in writing reports that summarize analysis / assessments into simple and concise actionable points Strong conceptual knowledge and practical experience in the Development, Validation, and Deployment of ML/AL models such as: Supervised Learning - regression, classification techniques Unsupervised Learning clustering techniques Recommender Systems Reinforcement Learning Deep Learning Sequence models (RNN, GRU, LSTM etc.), CNN, GAN etc Econometric models Exploratory Data analysis, Hypothesis testing etc. Comfortable in ingestion of technical whitepapers, legal policies, government regulations etc. in relation into Responsible AI and work with Academic partners to convert them into practice Ability to learn and develop new methods, strategies and frameworks to proactively identify potential loopholes. Comfortable with ambiguity, believe in first principles and have the skill to transform broad ideas into action plans Excellent written and verbal communication skills with ability to clearly communicate ideas and results to both technical and non-technical business audience, such as senior leaders Good time management skills to manage day-to-day work progress and ensure timely and high-quality deliverables Self-motivated with ability to work independently across multiple projects and set priorities and Strong analytical bent of mind. Good to have Cloud Certifications (Azure / AWS / GCP) Knowledge of AWS SageMaker Clarify / Azure Responsible ML and Fairlearn SDK / GCP AI Explanations Experience in Chatbot Analytics, Web Crawling Experience in MLOps tools like MLflow or Kubeflow Knowledge of cybersecurity, vulnerability assessment, risk remediation etc.

Job Title: Lead Data Scientist - Advanced Analytics Job Description: We are looking for a Lead Data Scientist to drive data science and advanced analytics initiatives. The role involves building and refining machine learning models, optimizing business processes, and delivering strategic insights using large datasets and big data tools. Key Responsibilities: Lead development of data science models using ML techniques (Supervised/Unsupervised Learning, Regression, Neural Networks, etc. ). Work with big data tools (AWS, SQL, PySpark) and cloud platforms (AWS, Azure, GCP). Collaborate with global teams to deliver AI/ML solutions. Engage with clients to understand business needs and deliver tailored solutions. Required Skills: Strong experience in Python , machine learning, and big data tools (AWS, SQL, PySpark). Expertise in algorithms ( Random Forest, Boosted Trees, Neural Networks ). Experience in Pricing Models and one of the following domains: Retail, Marketing Analytics, eCommerce, Health, Supply Chain. Proven client engagement and business development skills.