18 Aiml Models Jobs

NTT DATA is looking for a talented and passionate individual to join as a Salesforce Data Cloud Specialist in Hyderabad, Telangana, India. As a Salesforce Data Cloud Specialist, you will be responsible for managing and optimizing customer data platforms within Salesforce ecosystems. You will work closely with stakeholders to ensure seamless integration and orchestration of data, aligning data models with business requirements to provide actionable insights. Key Responsibilities: - Implement and configure Salesforce Data Cloud to effectively unify and segment customer data. - Design and manage data models that seamlessly integrate with Salesforce platforms, ensuring high-quality data ingestion and transformation. - Collaborate with stakeholders to understand business requirements and translate them into technical solutions. - Build and manage data pipelines to aggregate and cleanse data from multiple sources. - Develop rules for data normalization, identity resolution, and deduplication. - Maintain data compliance, security, and privacy standards. - Collaborate with marketing, sales, and analytics teams to leverage Data Cloud capabilities for improved customer engagement and personalization. - Troubleshoot and optimize Data Cloud performance to ensure timely issue resolution. Required Skills and Qualifications: - Hands-on experience with Salesforce Data Cloud (formerly known as Customer Data Platform). - Proficiency in data modeling, ETL processes, and data integration within Salesforce ecosystems. - Knowledge of Salesforce CRM, Marketing Cloud, and related modules. - Experience with API integrations and data connectors. - Familiarity with identity resolution and customer segmentation techniques. - Strong understanding of data governance, privacy, and compliance requirements. - Analytical mindset with the ability to derive actionable insights from data. - Excellent communication and collaboration skills. Preferred Skills: - Salesforce certifications such as Salesforce Certified Data Cloud Specialist or related certifications. - Hands-on experience with SQL, Python, or other data manipulation tools. - Familiarity with AI/ML models for predictive analytics in customer data. Educational Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or a related field. If you are looking to be part of a dynamic and innovative organization, apply now to join NTT DATA and contribute to our mission of helping clients innovate, optimize, and transform for long-term success.,

The role requires strategic thinking and technical expertise with a strong background in financial crime detection and prevention, particularly using advanced analytical methodologies. You will be responsible for designing, developing, and deploying analytics/models to detect suspicious activities and financial crime. The ideal candidate will possess technical expertise, a strategic mindset for enhancing Transaction Monitoring effectiveness, and a good familiarity with compliance regulations in the financial sector. You will be expected to design, develop, and deploy models for anomaly detection, behavior profiling, network analysis, and predictive scoring for Transaction Monitoring Solutions. Additionally, you will act as a single Point of Contact for assigned AML Transaction Monitoring Modeling related matters. Your responsibilities will include data exploration, feature engineering, and ensuring that models are accurate, efficient, and scalable. Furthermore, you will support analytical processes to enhance Transaction Monitoring red flag monitoring and optimize cases for investigation through AI/ML models and analytical processes. You will also work on improving processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. As the role holder, you will be accountable for ensuring that all processes/models follow the Bank's governance process, including Model Risk Policy Governance and Risk-Based Rule review. Key Responsibilities: - Conceptualize, design, support, and align relevant processes and controls to industry best practices, and address any compliance gaps. - Mentor and conduct training programs to bring new joiners and the team up to speed on new business requirements. - Provide endorsement for changes or remediation activities impacting AML Optimization models and engage with relevant stakeholders for deploying the changes to production. - Work on processes such as threshold tuning, reconciliation, segmentation, and optimization associated with the Transaction Monitoring function across various products. - Work towards the collective objectives and scorecard of the business function published periodically in the form of job and performance objectives. Skills and Experience: - Provide coaching to peers and new hires to ensure they are highly engaged and performing to their potential. - Promote and embed a culture of openness, trust, and risk awareness, where ethical, legal, regulatory, and policy-compliant conduct is the norm. - Apply Group and FCC policies and processes to manage risks effectively. - Engage with Business/Segment stakeholders to understand emerging risks and ensure they are suitably addressed through Monitoring coverage. - Attend relevant business/segment/product-related working group meetings and ensure tracking and remediation of surveillance and investigations related regulatory findings. Qualifications: - 8+ years of hands-on experience in Transaction Monitoring design and development, with at least 5 years focused on financial crime threat risk mitigation. - Strong background in deploying models within TM or compliance environment with a solid understanding of AML/CFT regulations. - Strong coding skills in Python, R, SQL, and familiarity with data engineering practices for model integration.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

You should possess 5-6 years of professional experience, with a minimum of 3 years in Data Science/Analytics. Proficiency in hands-on Python programming is required. You must be capable of independently developing and deploying AI/ML models from scratch. A good understanding of AI/ML and Statistical models is essential. The role also involves Data Analysis, Visualization, and Reporting. Experience in Splunk and Grafana is considered a plus. At GlobalLogic, you will have the opportunity to work on exciting projects in industries such as High-Tech, communication, media, healthcare, retail, and telecom. You will collaborate with a diverse team of highly talented individuals in a laidback environment. We prioritize work-life balance by offering flexible work schedules, work-from-home opportunities, paid time off, and holidays. Professional development is important to us. Our Learning & Development team organizes various training programs including Communication skills training, Stress Management programs, professional certifications, and technical and soft skill trainings. We provide competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance, NPS (National Pension Scheme), health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses. In addition to the above benefits, we offer fun perks such as sports events, cultural activities, food at subsidized rates, corporate parties, dedicated GL Zones, rooftop decks, and the GL Club. Our offices provide a vibrant environment with discounts for popular stores and restaurants. GlobalLogic is a leader in digital engineering, helping brands worldwide design and build innovative products, platforms, and digital experiences. Our expertise in experience design, complex engineering, and data enables our clients to envision the future and transition into digital businesses. Headquartered in Silicon Valley, we operate design studios and engineering centers globally, serving customers in various industries including automotive, communications, financial services, healthcare, manufacturing, media and entertainment, semiconductor, and technology. As a Hitachi Group Company under Hitachi, Ltd. (TSE: 6501), we drive innovation through data and technology to contribute to a sustainable society with a higher quality of life.,

As an IoT & AI Intern at Bharat Ecolabs, you will have the opportunity to support the development and integration of sensor networks, data pipelines, and AI models for our smart, modular Packaged Sewage Treatment Plants (STPs). Working out of the NASSCOM Center of Excellence for IoT & AI in Gurugram, you will collaborate closely with our core engineering team. Your key responsibilities will include assisting in the design and development of IoT-enabled sensor and control systems for STPs, building and testing data acquisition modules using sensors for various parameters, developing cloud-based or edge data pipelines for real-time monitoring, and supporting the development of AI/ML models for fault detection and efficiency optimization. Additionally, you will contribute to the creation of dashboards or mobile interfaces for STP data visualization and alerts, as well as conduct testing and debugging of IoT prototypes on pilot installations. The ideal candidate for this role would be a final year student or recent graduate in Electronics, Computer Science, AI, Mechatronics, or related fields with hands-on experience in microcontrollers like Arduino, ESP32, or Raspberry Pi. You should also have familiarity with sensor integration, basic electronics, and communication protocols such as MQTT, Modbus, or LoRa. Proficiency in Python, basic ML libraries like scikit-learn or TensorFlow, and cloud platforms like AWS, Azure, or GCP is desired. Strong problem-solving skills and a passion for applying technology in real-world clean tech solutions are essential for success in this role. Joining us as an IoT & AI Intern at Bharat Ecolabs will provide you with real-world exposure to applied IoT and AI in environmental engineering, mentorship from a passionate founding team, and access to the NASSCOM CoE ecosystem. Upon successful completion of the internship, you will receive a formal Experience Certificate, and there is a possibility to convert the internship into a full-time role based on performance and mutual interest.,

In the modern banking age, financial institutions are required to bring Classical Data Drivers and Evolving Business Drivers together on a single platform. However, traditional data platforms face limitations in communicating with evolving business drivers due to technological constraints. A Modern Data Platform is essential to bridge this gap and elevate businesses to the next level through data-driven approaches, enabled by recent technology transformations. As a Technology leader with an academic background in Computer Science / Information Technology / Data Technologies [BE/BTech/MCA], you will have the opportunity to lead the Modern Data Platform Practice. This role involves providing solutions to customers on Traditional Datawarehouses across On-Prem and Cloud platforms. You will be responsible for architecting Data Platforms, defining Data engineering designs, selecting appropriate technologies and tools, and enhancing the organization's Modern Data Platform capabilities. Additionally, you will lead pre-sales discussions, provide technology architecture in RFP responses, and spearhead technology POC/MVP initiatives. To excel in this role, you are expected to possess the following qualifications and experiences: - 12-16 years of Data Engineering and analytics experience, including hands-on experience in Big Data systems across On-Prem and Cloud environments - Leadership in Data Platform architecture & design projects for mid to large size firms - Implementation experience with Batch Data and Streaming / Online data integrations using 3rd party tools and custom programs - Proficiency in SQL and one of the programming languages: Core Java / Scala / Python - Hands-on experience in Kafka for enabling Event-driven data pipes / processing - Knowledge of leading Data Services offered by AWS, Azure, Snowflake, Confluent - Strong understanding of distributed computing and related data structures - Implementation of Data Governance and Quality capabilities for Data Platforms - Analytical and presentation skills, along with the ability to build and lead teams - Exposure to leading RDBMS technologies and Data Visualization platforms - Demonstrated AI/ML models for Data Processing and generating Insights - Team player with the ability to work independently with minimal direction Your responsibilities at Oracle will be at Career Level - IC4, and the company values Diversity and Inclusion to foster innovation and excellence. Oracle offers a competitive suite of Employee Benefits emphasizing parity, consistency, and affordability, including Medical, Life Insurance, and Retirement Planning. The company encourages employees to contribute to the communities where they live and work. Oracle believes that innovation stems from diversity and inclusion, and is committed to creating a workforce where all individuals can thrive and contribute their best work. The company supports individuals with disabilities by providing reasonable accommodations throughout the job application, interview process, and in potential roles to ensure successful participation in crucial job functions. As a global leader in cloud solutions, Oracle is dedicated to leveraging tomorrow's technology to address today's challenges. The company values inclusivity and empowers its workforce to drive innovation and growth. Oracle careers offer opportunities for global engagement, work-life balance, and competitive benefits. The company is committed to promoting an inclusive workforce that supports opportunities for all individuals. If you require accessibility assistance or accommodation for a disability at any point during the employment process at Oracle, kindly reach out by emailing accommodation-request_mb@oracle.com or calling +1 888 404 2494 in the United States.,

As a Senior Specialist in Data Science at our company, you will have the opportunity to leverage analytics and technology to drive decision-making in order to address some of the world's greatest health threats. You will be part of the Insights, Analytics, and Data organization, working with partners in various Therapeutic and Domain areas to create scalable and production-grade analytics solutions. Your role will involve collaborating with Market leaders to tackle critical business questions using data science solutions and translating business queries into analytical problems. We are looking for candidates with prior experience in healthcare analytics or consulting sectors, leading Data Science teams, and delivering end-to-end data science projects. You should have a thorough understanding of Physician and Patient-level data from leading vendors and extensive experience in commercial pharma analytics. Effective communication skills are crucial as you will be interfacing with executive and business stakeholders. As a Senior Specialist in Data Science, you should have a solid foundation in statistics and machine learning and be able to work in high-performance computing environments. You should be self-motivated, with the ability to think independently and structure your data science approach according to the task at hand. Collaboration, continuous learning, and effective communication are key aspects of this role. Key Responsibilities: - Lead a moderate-sized team of Data Scientists to solve complex business problems - Collaborate with business leaders to define and prioritize business problems and conceptualize data science solutions - Standardize and scale data science solutions to increase delivery efficiency - Collaborate with cross-functional teams to design and implement solutions meeting business requirements - Present findings to senior business stakeholders and ensure technical and professional development of junior team members - Develop expertise in the therapeutic area of interest and contribute to thought leadership through publications and presentations Minimum Qualifications: - Bachelor's degree with 8-10 years of industry experience - Extensive experience in healthcare analytics or consulting sectors - Strong Python/R, SQL, Excel skills - Strong foundation in statistics and machine learning Preferred Qualifications: - Advanced degree in STEM (MS, MBA, PhD) - Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics - Experience in End to End Program Management Join us in our mission to put patients first and bring breakthrough medicines to customers worldwide. We are committed to fostering an inclusive and diverse workplace where diverse ideas come together for innovative solutions. We are an equal opportunity employer and encourage respectful challenge and collective problem-solving. Apply now if you meet the qualifications and are passionate about making a difference in the world of healthcare analytics and data science.,

As an AI Development and Integration specialist, you will be responsible for developing and optimizing AI solutions using tools like Claude.ai, Perplexity.ai, and other Anthropics-powered systems. Your primary focus will be on building and integrating AI-driven features into EdTech platforms to enhance adaptive learning, content personalization, and intelligent tutoring capabilities. In the realm of EdTech solutions development, you will design AI applications specifically tailored to the education sector. This includes creating virtual tutors, automated assessments, and recommendation systems. It will be crucial for you to collaborate closely with educators and curriculum designers to ensure that the AI functionalities align with educational goals effectively. Your role will also involve model training and fine-tuning, where you will be required to train and optimize LLMs for specific EdTech use cases. This process aims to guarantee the delivery of accurate and meaningful interactions. Additionally, you will apply transfer learning techniques to customize general AI models for education-specific tasks. Utilizing tools like Claude.ai and Perplexity.ai will be essential in your work to create innovative solutions for interactive learning and derive data-driven insights. You will have the opportunity to experiment with features from emerging Anthropics technologies to enhance the capabilities of the EdTech platform continually. Staying updated on the latest developments in AI and EdTech will be a crucial aspect of your role to implement cutting-edge solutions effectively. Engaging in exploratory research to explore how advanced AI tools can address key challenges in the education sector will also be part of your responsibilities. Collaboration and stakeholder engagement will play a significant role in your work, requiring you to work closely with product managers, UX designers, and other developers to deliver AI-powered EdTech features successfully. You will need to effectively communicate AI concepts and capabilities to technical and non-technical stakeholders, ensuring a clear understanding across the board. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. would be advantageous. Demonstrated expertise in working with Claude.ai, Perplexity.ai, and other Anthropics systems is essential. Proficiency in Python and familiarity with AI frameworks like TensorFlow, PyTorch, and Hugging Face are required. A deep understanding of NLP techniques, LLM architectures, and transformer-based models is crucial. Experience with API integrations and deploying AI/ML models in production environments is necessary. Previous experience in developing AI solutions for educational platforms and knowledge of challenges in EdTech, including accessibility, data privacy (e.g., FERPA, GDPR), and scalability, will be beneficial for this role.,

Are you a curious mind eager to build real-world AI solutions At Cygnus, we are on the lookout for smart interns ready to innovate with GenAI. You will have the opportunity to work directly with our CTO and product teams to prototype, fine-tune models, and solve practical business challenges using the latest AI tools. This is a paid internship with a path to full-time employment. As a selected intern, your day-to-day responsibilities will include building and deploying AI/ML models for internal tools and client-facing solutions. You will also get to explore and experiment with LLMs such as OpenAI, Ollama, Cohere, etc. Additionally, you will be automating workflows using Python, LangChain, n8n, or similar platforms. Your role will involve researching new GenAI techniques and applying them to our product stack. Collaboration with Sales, Ops, and Supply teams to ship rapid MVPs will also be a key part of your responsibilities. If you are passionate about AI and excited to shape the future of travel, we would love to hear from you. Let's build something amazing together. Good luck! :) About Company: Cygnus is a Pune-based AI-driven Corporate Travel Management Company that is revolutionizing how businesses manage travel. We exclusively work with corporates, offering a comprehensive one-stop solution for all their travel needs - from flights and hotels to visa, MICE, and cab bookings. Our mission is to replace outdated travel processes with a streamlined, tech-savvy approach that solves real-world challenges faced by travel managers. Backed by strong industry connectivity, a skilled professional team, and a commitment to continuous improvement, Cygnus is redefining corporate travel with innovation and efficiency at its core.,

As a Full Stack Developer with 3 to 5 years of experience, you will be responsible for designing and developing scalable web applications focusing on both front-end (Angular) and back-end (.Net Core) technologies. Ideally, we are looking for candidates with a background in product companies, possessing a product development mindset essential for driving innovation, ensuring long-term product growth, and aligning technical execution with business objectives. Your key responsibilities will include developing and maintaining high-quality web applications using Angular and other front-end technologies, ensuring best practices and staying updated on the latest Angular features. Collaborating closely with product teams to meet business and user needs, designing back-end solutions, integrating APIs, and driving product development to deliver high-quality user experiences and long-term scalability. For front-end skills with an Angular focus, you should have extensive experience with Angular, in-depth knowledge of Angular versions and features, proficiency in HTML5, CSS3, responsive design principles, and frameworks like Sass/Less and Bootstrap. Hands-on experience with state management libraries (NgRx), RxJS for asynchronous programming, and collaborating with UI/UX teams for a seamless user interface aligned with design requirements are also required. In terms of back-end skills, you should have a strong grasp of data structures, design patterns, and system design concepts, experience with server-side technologies like .Net Core, Java for RESTful APIs, and database management skills in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB). Knowledge of API design, security best practices, microservices architecture, and cloud-based solutions is essential for efficient deployment. Having a product development mindset is crucial, with experience in product-driven companies, prioritizing features based on user feedback and business value, and involvement in product roadmap discussions for iterative product development. Understanding wireframing, user flow diagrams, design principles, and close collaboration with UI/UX designers are required for creating an intuitive and engaging user interface. Soft skills such as problem-solving, communication, ability to adopt new technologies quickly, and collaborative team player mindset are highly valued. A proven track record of successfully developing and deploying products in a fast-paced environment, along with a Bachelor's degree in computer science or related field, are necessary qualifications for this role.,

AryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. The mission of AryaXAI is to create AI tools that empower researchers, engineers, and organizations, including banks, financial institutions, and large enterprises, to unlock AI's full potential while maintaining transparency, safety, and regulatory compliance. The team at AryaXAI thrives on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. Each team member contributes hands-on in a flat organizational structure that values curiosity, initiative, and exceptional performance, ensuring that the work not only advances technology but also meets the rigorous demands of regulated sectors. As a Senior Data Scientist at AryaXAI, you will be uniquely positioned to tackle large-scale, enterprise-level challenges in regulated environments. You will lead complex AI implementations that prioritize explainability, risk management, and compliance, directly impacting mission-critical use cases in the financial services industry and beyond. Your expertise will be crucial in deploying sophisticated models that address the nuances and stringent requirements of regulated sectors. Responsibilities include: - Model Evaluation & Customization - Architectural Assessment - Enterprise Integration - Advanced AI Techniques - Specialization & Innovation - Collaboration & Quality Assurance - Documentation & Compliance Qualifications: - Educational & Professional Background - Regulated Industry Experience (FS, Banking or Insurance is preferred) - Technical Expertise - Diverse Data Handling - Deployment Proficiency - Publications & Contributions A solid academic background in machine learning, deep learning, or reinforcement learning, ideally complemented by experience in regulated industries such as financial services or enterprise sectors, is required. The ideal candidate will have a proven track record (2+ years) of hands-on experience in data science within highly regulated environments, with a deep understanding of the unique challenges and compliance requirements in these settings. Demonstrated proficiency with deep learning frameworks (TensorFlow, PyTorch, etc.) and experience in implementing advanced techniques (Transformer models, GANs, etc.) is essential. Experience working with varied data types, including textual, tabular, categorical, and image data, and the ability to develop models that handle complex, enterprise-level datasets is also required. Expertise in deploying AI solutions in both cloud and on-premise environments, ensuring robust, scalable, and secure integrations with enterprise systems, is a key qualification. Peer-reviewed publications or significant contributions to open-source tools in AI are highly regarded.,

As an Analyst/Consultant in the Strategy & Consulting Global Network at Accenture's Marketing analytics practice in Gurgaon, you will play a crucial role in helping clients grow their business through data-driven insights and analytics. You will be part of a global team of over 20,000 skilled professionals who excel in statistical tools, methods, and applications, working towards providing analytically informed insights at scale. Your responsibilities will include defining data requirements for Data Driven Merchandizing capability, cleaning, aggregating, analyzing, and interpreting data, as well as conducting data quality analysis. With 3+ years of experience in Data Driven Merchandizing, specifically in Pricing/Promotions/Assortment Optimization across retail clients, you will utilize your knowledge of price/discount elasticity estimation, non-linear optimization techniques, statistical timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability. Moreover, you will be expected to have hands-on experience in state space modeling, mixed effect regression, and developing AI/ML models in Azure ML tech stack. Your role will also involve managing data pipelines, data within different layers of Snowflake environment, and implementing scalable machine learning architectures. Proficiency in cloud platforms for deploying and maintaining machine learning models in production will be essential. Collaboration with the team and consultants/managers is a key part of your role, along with creating insights presentations and client-ready decks. You should possess strong communication skills and the ability to mentor and guide junior resources. Logical thinking, analytical skills, and task management knowledge will be necessary for planning tasks, setting priorities, tracking progress, and reporting effectively. At Accenture, you can expect continuous investment in your learning and growth, with opportunities to work with Data Driven Merchandizing experts and build your tech stack and certifications. You will gain a deep understanding of sound analytical decision-making and execute projects in the context of business performance improvement initiatives. If you are looking to leverage your expertise in analytics and make a significant impact on client outcomes, this role offers a dynamic and rewarding opportunity.,

As a Full Stack Developer with 3 to 5 years of experience in Pune, you will be responsible for designing and developing scalable web applications using Angular for the front-end and .Net Core for the back-end. Your role will involve collaborating closely with product teams to align development with business and user needs, designing back-end solutions, integrating APIs, and driving product development to deliver high-quality user experiences and long-term scalability. You will need to have extensive experience with Angular, proficiency in HTML5 and CSS3, familiarity with responsive design principles, hands-on experience with state management libraries and RxJS, knowledge of component-based architecture, and experience with performance optimization techniques for Angular applications. Additionally, you should be proficient in server-side technologies like .Net Core or Java for managing RESTful APIs, have strong database management skills in SQL and NoSQL, and be familiar with API design, security best practices, and microservices architecture. Having a product development mindset is essential for this role, as you will be prioritizing features based on user feedback and business value, delivering maintainable and scalable solutions aligned with the long-term product vision, and actively participating in product roadmap discussions. Your UI/UX knowledge should include wireframing, user flow diagrams, and collaboration with UI/UX designers to implement designs effectively. Strong problem-solving skills, excellent communication abilities, adaptability to new technologies, and a collaborative team player mindset are crucial soft skills for this position. You should have a proven track record of developing and deploying products successfully in a fast-paced environment and hold a Bachelor's degree in computer science, Software Engineering, or a related field. In summary, as a Full Stack Developer, you will play a key role in driving innovation, ensuring product growth, and balancing technical execution with business objectives. Your focus will be on developing and maintaining high-quality web applications, collaborating with product teams, integrating APIs, and continuously improving the product with each iteration.,

As an Analyst/Consultant within the Marketing Analytics practice of Accenture Strategy & Consulting in Gurgaon, you will play a crucial role in assisting clients to grow their business by leveraging analytics to drive high performance and make informed decisions based on data insights. The Accenture Applied Intelligence practice focuses on developing analytic capabilities that enable organizations to outperform competitors, from accessing and reporting on data to predictive modeling. Joining a global network of over 20,000 colleagues, you will have the opportunity to work with leading statistical tools, methods, and applications. From data to analytics and insights to actions, you will collaborate with forward-thinking consultants to provide analytically informed insights at scale, helping clients improve outcomes and achieve high performance. In this role, you will work through various project phases, defining data requirements for Data Driven Merchandizing capabilities. Your responsibilities will include cleaning, aggregating, analyzing, and interpreting data, as well as conducting data quality analysis. With at least 3 years of experience in Data Driven Merchandizing, you will focus on Pricing/Promotions/Assortment Optimization capabilities across retail clients, including knowledge of price/discount elasticity estimation and non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability is essential. Hands-on experience in state space modeling, mixed effect regression, and developing AI/ML models in the Azure ML tech stack is required. You will also be responsible for managing data pipelines and data within different layers of the Snowflake environment. Additionally, you should be familiar with common design patterns for scalable machine learning architectures, tools for deploying and maintaining machine learning models in production, and cloud platforms for pipelining and deploying elasticity models. Your role will involve working alongside a team and consultant/manager, creating insights presentations, and client-ready decks. You should possess strong communication skills and be able to mentor and guide junior resources. Logical thinking is a key attribute for this role, as you will need to think analytically and use a systematic and logical approach to analyze data, problems, and situations. Your task management skills should be at a basic level, enabling you to plan your tasks, discuss priorities, track progress, and report accordingly.,

You will be combining your expertise in mathematics, statistics, computer science, and domain knowledge to create AIML models that can effectively address various business challenges. Your role will involve collaborating closely with the AI Technical Manager, GCC Petro technical professionals, and data engineers to integrate these models into the business framework. You will be responsible for identifying and framing opportunities to apply advanced analytics modeling and related technologies to data, thereby helping businesses gain insight, improve decision-making, workflow, and automation. In this position, you will need to understand and communicate the value of proposed opportunities with team members and other stakeholders. Identifying the necessary data and appropriate technology to solve the identified business challenges will be a crucial aspect of your responsibilities. You will also be involved in cleaning data, developing, and testing models, as well as establishing the life cycle management process for these models. Additionally, you will provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills. Driving innovation in AIML to enhance capabilities in data-driven decision-making will be a key focus area. You are expected to align with the team on shared goals and outcomes, recognize others" contributions, work collaboratively, seek diverse perspectives, and take actions to develop yourself and others beyond existing skill sets. Furthermore, you should encourage innovative ideas, adapt to change and changing technologies, and effectively understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise. **Required Qualifications:** - Minimum 5 years of experience in designing and developing AIML models and/or various optimization algorithms (5 to 9 years of experience) - Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g., supervised and unsupervised learning, statistics, data science model development) - Proficiency in Python and working knowledge of cloud AIML services; Azure Machine Learning and Databricks preferred - Domain knowledge relevant to the energy sector and working knowledge of the Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows - Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis for purposes of data cleaning and discovery, visualize data, and identify actions to reach needed results - Ability to quickly assess the current state and apply technical concepts across cross-functional business workflows - Experience with driving successful execution deliverables and accountabilities to meet quality and schedule goals - Ability to translate complex data into actionable insights that drive business value - Demonstrated ability to engage and establish collaborative relationships both inside and outside the immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes - Demonstrated ability to adjust behavior based on feedback and provide feedback to others - Team-oriented mindset with effective communication skills and the ability to work collaboratively - Strong problem-solving skills and attention to detail - Excellent communication and collaboration skills,

As the Director of Analytics at one of our portfolio companies in NCR, you will play a crucial role in leading the analytics efforts to drive impactful insights and shape the future of consumer experiences. Your responsibilities will include developing and executing a comprehensive analytics strategy aligned with the company's goals, overseeing the development of advanced analytical models, and implementing state-of-the-art analytics tools and methodologies to enable efficient data exploration and visualization. You will be instrumental in driving the adoption of a data-driven decision-making culture within the organization, collaborating with various teams such as Product, Marketing, Engineering, and others to embed analytics into key decision-making processes. Additionally, you will build, mentor, and lead a diverse team of high-performing data analysts, business intelligence professionals, and data scientists. Your role will also involve providing thought leadership in leveraging AI/ML to develop innovative, data-driven products and solutions, as well as staying updated on industry trends and best practices to continuously enhance the analytics capabilities of the organization. The ideal candidate for this position should have a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. An MBA or equivalent qualification would be a plus. You should possess 8+ years of experience in analytics, business intelligence, or data science, with a proven track record of driving impact in consumer technology, e-commerce, or a similar fast-paced industry. Strong proficiency in data analysis, predictive modeling, and statistical methodologies is essential, along with hands-on experience in data visualization tools such as Tableau and Power BI, as well as programming languages like Python, R, and SQL. Experience in integrating AI/ML models into real-world applications, building and leading high-performing analytics teams, and translating complex analytical findings into actionable business insights are also key requirements for this role. Excellent communication and interpersonal skills are necessary for effective collaboration with both technical and non-technical stakeholders. If you are a visionary leader with a passion for analytics and driving business growth through data-driven insights, we would love to hear from you.,

You will be working at TRST01, a leading Sustainable Tech company based in Hyderabad. TRST01 specializes in innovative solutions for Sustainable Supply Chain management, Automated ESG Reporting, and Climate Action measurement through its digital Measurement, Reporting, and Verification (dMRV) Solution. By leveraging decentralized technology and blockchain, TRST01 delivers reliable data to assist businesses in achieving their ESG goals effectively. As a Data Modeler at TRST01, you will play a crucial role in designing, implementing, and optimizing data models that support carbon accounting, lifecycle analysis, and sustainability reporting. Your responsibilities will include collaborating with cross-functional teams, such as data scientists, software engineers, and sustainability experts, to ensure the integrity, accuracy, and scalability of environmental data models. Key Responsibilities: - Design and develop robust data models for tracking carbon emissions, energy consumption, and sustainability metrics. - Utilize CFRD datasets to establish reliable and scalable data pipelines for climate impact analysis. - Develop entity-relationship diagrams (ERDs) and schema designs to optimize storage and retrieval of climate-related data. - Collaborate with data engineers and scientists to integrate climate and sustainability data into existing platforms. - Implement data validation and quality control measures to ensure accuracy in sustainability reporting. - Support the development of AI/ML models for predictive analysis of carbon reduction strategies. - Ensure compliance with global environmental regulations (such as GHG Protocol, CSRD, and TCFD) in data modeling practices. - Optimize data models for real-time and batch processing of sustainability metrics. - Work with business intelligence teams to develop dashboards and reports based on modeled climate data. - Stay updated with the latest advancements in climate tech, data modeling, and carbon accounting methodologies. Required Qualifications: - Bachelor's or Master's degree in Data Science, Computer Science, Environmental Science, Sustainability, or a related field. - 1-3+ years of experience in data modeling, database design, and schema optimization. - Expertise in CFRD (Carbon Footprint and Reduction Data) and related frameworks. - Strong understanding of relational and non-relational databases (SQL, NoSQL, GraphDB, etc.). - Hands-on experience with big data tools (e.g., Apache Spark, Hadoop) and ETL pipelines. - Proficiency in data modeling tools such as Erwin, Lucidchart, or similar. - Experience working with climate datasets (e.g., satellite imagery, emission inventories, LCA data). - Familiarity with carbon accounting standards like GHG Protocol, SBTi, and ISO 14064. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications: - Experience in cloud-based data solutions (AWS, Azure) for sustainability analytics. - Exposure to machine learning models for climate risk assessment. - Familiarity with GIS-based modeling for environmental impact analysis.,

Job Summary: As part of our AI/ML , you will work closely with data scientists, engineers, and business stakeholders to design, develop, and deploy machine learning models and AI-powered solutions. You will use Dataiku to build robust, scalable, and automated data science workflows that drive business value. Your expertise in AI/ML techniques combined with your experience using Dataiku will be key to transforming data into actionable insights. Key Responsibilities: AI/ML Model Development & Deployment: Design, develop, and deploy machine learning models and AI solutions using Dataiku . Build end-to-end machine learning pipelines that automate data preparation, feature engineering, training, validation, and deployment of models. Leverage Dataikus AutoML capabilities to streamline model building while ensuring model performance. Work with stakeholders to identify and prioritize AI use cases that align with business objectives. Collaboration & Knowledge Sharing: Collaborate with cross-functional teams (data engineers, business analysts, product owners) to integrate machine learning solutions into business workflows. Share insights and knowledge on best practices in data science, machine learning, and the use of Dataiku . Create and maintain detailed documentation for models, pipelines, and workflows within Dataiku . Data Management & Feature Engineering: Work with large datasets, performing feature engineering and transformation to prepare data for machine learning tasks. Utilize Dataiku’s data wrangling capabilities to clean, transform, and organize data for efficient processing. Build reusable data processing workflows within Dataiku to automate recurring tasks and streamline model development. Model Monitoring & Optimization: Continuously monitor and fine-tune deployed models to ensure they deliver high-quality predictions and insights. Implement strategies for model versioning, testing, and monitoring performance over time. Ensure that models adhere to business requirements and ethical AI practices. Innovation & Research: Keep up with the latest trends and advancements in AI/ML techniques and tools. Explore new AI/ML algorithms and methodologies to improve model performance. Contribute to the ongoing evolution of Dataiku workflows to incorporate cutting-edge practices in AI/ML. Required Skills & Qualifications: Experience: 3+ years of experience in machine learning and data science, with a strong focus on deploying models at scale. Hands-on experience working with Dataiku for building, deploying, and automating ML workflows. Proven track record of end-to-end project delivery in AI/ML, including problem definition, model building, validation, and deployment. Technical Skills: Proficiency in Python , R , or similar programming languages used for AI/ML. Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques. Experience with Dataiku and its features such as AutoML, visual recipes, and integration with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Familiarity with cloud environments (AWS, GCP, or Azure) for scalable model deployment. Knowledge of data preprocessing, feature engineering, and optimization techniques. Familiarity with model monitoring, model lifecycle management, and version control in data science projects.