52 Unstructured Data Jobs

Immediate Openings for Azure Data Engineer Exp: 4-7yrs Skills: Azure Data , Data Modelling, Unstructured Data Location: Bangalore Interested candidates can share their profiles with Pranitha.d@growthgamut.com

As an experienced Data Scientist at Mango Sciences, you will be part of an agile team focused on leveraging our proprietary healthcare platform to build prediction models, primarily focusing on clinical risk/outcomes predictions. Your role will involve contributing to problem-solving discussions, building and evaluating prediction models, and providing clear assessments to both internal and external stakeholders. You will also be responsible for providing timely updates to the management and leadership teams. Key Responsibilities: - Work on a high-impact team utilizing Mango's healthcare data to build prediction models, emphasizing clinical risk/outcomes predictions. - Contribute to problem-...

Immediate Openings for Azure Data Engineer Exp: 4-7yrs Skills: Azure Data , Data Modelling, Unstructured Data Location: Bangalore Interested candidates can share their profiles with Pranitha.d@growthgamut.com

As a Google Vertex AI Search Consultant for E-commerce, your role involves implementing and optimizing AI-powered search solutions to enhance product search experiences on the website. Key Responsibilities: - Implement and configure Google Vertex AI Search for the e-commerce website. - Build and optimize product search experiences through relevance tuning, ranking, filtering, and autocomplete features. - Integrate Vertex AI Search with the existing product catalog, CMS, and backend systems. - Set up real-time or scheduled data ingestion from product databases/feeds. - Enable personalized search results based on user behavior signals. - Collaborate with engineering, product, and UX teams to d...

Role Overview: As a Senior Associate within Actuarial Services at PwC, you will have the opportunity to provide general insurance advice and consulting services to clients, including insurers, banks, regulators, and third-party administrators. Your role will involve offering advice on various aspects such as solvency, economic capital, risk management, mergers and acquisitions, company restructuring, financial modeling, underwriting, and compliance with new legislation. Your expertise will be crucial in analyzing the impact of new regulations on insurance companies" balance sheets and ensuring businesses have adequate reserves. Key Responsibilities: - Use feedback and reflection to develop s...

As an AI/ML Engineer at our company, your role will involve building and deploying GenAI Models using techniques such as RAG and Fine Tuning. You will be responsible for developing AI/ML algorithms to analyze large volumes of historical data for predictive and recommendation purposes. Additionally, you will implement and optimize deep learning models for generative tasks like image synthesis and voice applications. Key Responsibilities: - Collaborate with software engineers to seamlessly integrate Generative AI models into production systems - Evaluate application cases and assess the problem-solving potential of AI/ML algorithms, ranking them based on success likelihood - Comprehend data th...

Role & responsibilities: Design, develop, and maintain scalable AI-driven applications and services. Collaborate with data scientists and product teams to integrate machine learning models into production systems. Build intuitive front-end interfaces using React to support AI workflows and data visualization. Analyze and process large datasets to support model training and evaluation. Rapidly learn and apply new AI frameworks, tools, and methodologies Preferred candidate profile: Strong proficiency in Python, with experience in data manipulation libraries (e.g., Pandas, NumPy) and backend frameworks (e.g., FastAPI, Flask). Hands-on experience with data engineering and analytics, including da...

In this role, you will be responsible for the following: - Experience with Azure data engineering, specifically Azure Databricks for analysis, design, development, and implementation of unstructured data, Enterprise Data Warehousing, Data Marts, Data Conversion, and Data Integration. - Proficiency in industry best practices and knowledge of various vendors to analyze, design, and recommend third-party tools as needed. - Ability to drive analysis of required functionality and implement customizations or develop custom solutions to meet business requirements, focusing on technical excellence and high quality. - Familiarity with cloud migration methodologies and processes, including tools like ...

Role Overview: Growify, a leading e-commerce growth agency specializing in luxury and fashion sectors, is seeking a junior AI engineer to join their dedicated AI team. As a junior AI engineer at Growify, you will have the opportunity to work closely with senior engineers, develop and deploy AI features, gain hands-on experience with cutting-edge tools, and contribute to real-world projects that have a direct impact on clients" growth. This role is ideal for individuals early in their AI career who are eager to learn, work on meaningful projects, and progress into more senior roles in the future. Key Responsibilities: - Assist in designing, building, and deploying AI models and features under...

As an Associate Data Architect at Quantiphi, you will play a crucial role in designing and delivering big data pipelines for structured and unstructured data across multiple geographies, specifically focusing on supporting healthcare organizations in achieving their business objectives through the utilization of data ingestion technologies, cloud services, and DevOps practices. Your collaboration with Architects specializing in Cloud engineering, Software engineering, and ML engineering will involve creating innovative platforms, solutions, and applications that align with the latest trends in the healthcare industry, including digital diagnosis, software as a medical product, and AI marketp...

Role Overview: As a Senior Business Solution Owner at McCormick, your key purpose will be to support the development and management of complex data-related solutions that align with the business's strategy. You will play a crucial role in implementing the product vision and strategy, prioritizing enhancements, and effectively communicating changes. Your adeptness and autonomy in driving processes and impacting work, along with your ability to navigate the complexity of the data landscape, will be essential. You should have a keen ability to envision the big picture, harmonize diverse teams, and maintain a high level of professionalism when collaborating with senior leaders. Key Responsibilit...

2-8 years exp in a consumer credit/risk analytics Domain exp with data analytics tools including Python, R, SAS, and SQL, SPARK and Hadoop Analyze complex data sets from a variety of data sources and working exp with BSA/AML

As a Decision Analyst at Barclays, you will spearhead the evolution of the digital landscape by driving innovation and excellence. You will utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. The BUK Decision and Analytics team aim to harness the power of data through advanced analytics and data science to deliver assets that enhance the bank's performance. Your role will involve enabling smarter, faster, and more proactive decision-making while utilizing information to transform the lives of customers and communities. **Key Responsibilities:** - Design analytics and modelling solutions to complex business problems using domain expe...

Role Overview: As a Senior AI & Analytics Program Manager, you will be responsible for managing end-to-end client programs in a dynamic environment. Your role will involve a mix of hands-on technical contributions, team management, and client interactions. Key Responsibilities: - Lead and oversee AI & analytics programs for clients - Manage technical teams and ensure project delivery - Engage with clients to understand their requirements and provide solutions - Utilize scientific programming skills in Python, R, SQL, NoSQL, and Spark with ML tools & Cloud Technology (AWS, Azure, GCP) - Develop machine learning models using Python libraries such as numpy, pandas, sci-kit-learn, tensor-flow, s...

Role Overview: You will be serving as the Vice President in the Controls Testing and Assurance (CT&A) team, focusing on data management, metrics, and reporting. Your main responsibility will be to manage a team of 3 AVPs and ensure timely and accurate delivery of global monthly and quarterly reporting requirements. Additionally, you will collaborate with various stakeholders to enhance and maintain metrics and reporting requirements, analyze complex data sets, and drive the development of new metrics for CT&A. Your role will also involve actively supporting business strategy and values while continuously seeking opportunities for personal development. Key Responsibilities: - Manage CT&A's da...

As a Lead Data Engineer, you will be responsible for the following: - Multi-year work experience as a Platform Lead, Delivery Leader, or similar role. - Good working knowledge of AWS Services, Python, Pyspark, data modeling. - Knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data. - Knowledge of ETL, data mining, Data Warehousing, and segmentation techniques. - Knowledge of databases (Azure SQL, MSQL), data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Databricks/HDInsight), and BI and Reporting tools (e.g., Power BI, Tableau) or similar technologies. - Experience working with advanced data management, data processing,...

As a skilled Data Engineer with at least 2 years of experience and proficiency in Python, along with a strong background in Natural Language Processing (NLP) and Machine Learning (ML), you will play a crucial role in designing, developing, and maintaining data pipelines and systems to support NLP and ML initiatives at our company. Working closely with data scientists and software engineers, you will deploy cutting-edge solutions that leverage NLP and ML techniques effectively. **Responsibilities:** - Develop and maintain data pipelines to ingest, process, and analyze large volumes of text data. - Implement NLP algorithms and techniques for tasks such as text classification, named entity reco...

As a Machine Learning Engineer at Apple, you will be a part of the Information Intelligence team, revolutionizing how billions of people interact with their devices to search and find what they are looking for. Your role is critical in developing world-class Search and Q&A experiences for Apple customers using cutting-edge search technologies and large language models. Key Responsibilities: - Collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking - Develop fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning - Push the boundaries on document retrieval a...

Role Overview: As an experienced Enterprise Content Management (ECM) Systems professional, your role will involve managing and maintaining content and documents across various systems such as SharePoint, Documentum, OpenText, internal repositories, and Adobe Experience Manager (AEM). You will be responsible for ensuring accuracy, consistency, and compliance in content and document lifecycle management. Key Responsibilities: - Developing and enforcing content classification schemas, metadata standards, and tagging conventions. - Overseeing document version control, access permissions, retention policies, and archival processes. - Ensuring compliance with internal policies, industry regulation...

You are a highly skilled AI/ML Architect with a strong foundation in Data Engineering and the proven ability to apply Design Thinking in solving complex business challenges. You will play a key role in shaping end-to-end AI/ML solutions from data architecture to model deployment, ensuring the design remains user-centric, scalable, and aligned with business objectives. Key Responsibilities: - Lead the architecture and design of AI/ML solutions across multiple business domains. - Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. - Leverage design thinking methodologies to drive innovative and user-centric solution design. -...

As a Mid-Level Python and AI Engineer at Amplework Software, your role involves assisting in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will be experimenting with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Working with both structured and unstructured data, you will collaborate with data scientists and software engineers to continuously learn, experiment, and optimize models to enhance performance and efficiency. Key Responsibilities: - Assist in building and training machine learning models using TensorFlow, PyTorch, and Scikit-Learn. - Experiment with pre-trained AI models for NLP, Compute...

We are seeking a highly skilled Staff Machine Learning Engineer with a strong background in Machine Learning and Software Engineering to join our team. In this role, you will collaborate closely with product managers, applied scientists, and engineers to design, implement, and scale ML-powered systems that extract and reason over information from complex, unstructured data sourcessuch as documents, web screens, and automation workflows. Your work will play a key role in enabling intelligent, context-aware assistants and task automation agents that understand user intent and deliver meaningful outcomes. Key Responsibilities Build intelligent agentic systems that combine document understanding...

As a Cloud Architect with over 18 years of experience, located in Chennai, you will play a crucial role in managing and leading Data & AI projects and programs. Your primary responsibilities will include: - Experience with any cloud platforms (e.g., AWS, Azure, Google Cloud) and Big Data technologies (e.g., Hadoop, Spark). - Implementation experience of various Data Management projects such as Data platform Modernization, data lake, lake house, data mesh implementation, data virtualization, migration, advanced use-cases handling, streaming, unstructured data, Gen AI integration. - Managing the full life cycle of a large Data Lake / Lake house / Data mesh implementation from Discovery; assess...

As a Data Scientist at Mango Sciences, you will play a crucial role in leveraging our AI-driven data aggregation and analytical engine to provide clinical insights to healthcare providers and Life Sciences Companies. By joining our fast-growing team, you will have the opportunity to work on high-impact projects and contribute to the improvement of healthcare access and quality. Key Responsibilities: - Utilize Mangos proprietary healthcare platform and data to build prediction models, focusing on clinical risk/outcomes predictions. - Contribute to problem-solving discussions, recommending appropriate deep learning/machine learning techniques. - Build and evaluate prediction models, providing ...

You will have the chance to build a career at EY as unique as you are, with global scale, support, an inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective will be valued to help EY become even better. Join EY to build an exceptional experience for yourself and contribute to creating a better working world for all. EY's Consulting Services is a unique, industry-focused business unit offering integrated services to financial institutions and other capital markets participants. As part of EY's Consulting Practice, the Data and Analytics team solves complex issues and delivers better outcomes to help expand and safeguard businesses. You will...