70 Text Analytics Jobs - Page 3

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning ExperienceExperience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business AcumenAbility to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients’ business processes and cha Preferred technical and professional experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Job Responsibilities. Hands on (Full Stack) SaaS application design and development concentrating on Artificial intelligence using big data technologies.. Facilitate solution efficiencies, scalability and technology stack leadership.. Ensure fool proof and robust applications through unit tests and other quality control measures. Follow an agile development process, and enable rapid solutions to business challenges.. Take inputs from internal and external clients and constantly strive to improve solutions.. Setup and following software design, development, testing and documentation best practices.. Extract and parse data from online and local data sources; Clean up data, audit data for accuracy, consistency and completeness.. Apply analytics and artificial intelligence techniques and extract valuable and actionable insights. Data processing and visualization:Summarize insights in simple yet powerful charts, reports, slides, etc.. For internal and external client projects, use our proprietary tools for performing data engineering, analytics and visualization activities. Responsible for project deliveries, escalation, continuous improvement, and customer success.. Candidate Profile. Strong knowledge of Python, Django, React, Flask, Flutter, Bootstrap, HTML,CSS, Javascript, SQL.. Expertise in Full Stack Web Application development is required.. Proficiency in software development:Conceptualizing, Designing, Coding, debugging.. Prior Background in AI, ML, Deep Learning, Image processing and computer vision is preferred.. Strong in algorithm design, database programming (RDBMS), and text analytics.. Knowledge of MongoDB, Redis, Docker, Containerization, Kubernetes, AWS, Kafka is preferred. High problem-solving skills:able to logically breakdown problems into incremental milestones, prioritize high impact deliverables first, identify bottlenecks and work around them.. Self-learner:highly curious, self-starter and can work with minimum supervision and guidance.. Entrepreneurial mind set with a positive attitude is a must.. Track record of excellence in academics or non-academic areas, with significant accomplishments.. Qualifications. E / B. 3 to 8 years of relevant experience. (ref:hirist.tech).

ob Description Role: AI Developer Agentic AI Exp: 2-3 Years Work Mode: 1210 pm, Onsite( Mohali, Punjab) Job Role & Responsibilities Design, develop, and deploy Agentic AI systems capable of autonomous task execution by integrating reasoning, memory, and tool use to enable intelligent behavior across complex, multi-step workflows, Architect intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to accomplish diverse objectives with minimal human intervention, Optimize performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications, Develop reusable, testable, and production-grade code, adhering to best practices in software engineering and modern AI development workflows, Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to convert business requirements into modular agent behaviors, Integrate Retrieval-Augmented Generation (RAG), advanced NLP techniques, and knowledge graph structures to improve decision-making and contextual awareness of agents, Conduct rigorous profiling, debugging, and performance testing of agent workflows to identify bottlenecks and improve runtime efficiency, Write and maintain comprehensive unit, integration, and regression tests to validate agent functionality and ensure robust system performance, Continuously enhance codebases, refactor existing modules, and adopt new design patterns to accommodate evolving agentic capabilities and improve maintainability, Implement secure, fault-tolerant, and privacy-compliant designs to ensure that deployed agentic systems meet enterprise-grade reliability and data protection standards, Qualification Required Bachelors degree in computer science, or related field, Specialization or Certification in AI or ML is a plus, Technical Expertise 2+ years of hands-on experience in AI/ML/DL projects, with a strong emphasis on Natural Language Processing (NLP), Named Entity Recognition (NER), and Text Analytics, Proven ability to design and deploy Agentic AI systems?autonomous, goal-oriented agents that exhibit reasoning, memory retention, tool use, and execution of multi-step tasks, Practical expertise in agent architecture, task decomposition, and seamless integration with external APIs, databases, and tools to enhance agent capabilities, Skilled in agent prompting strategies, including dynamic prompt chaining and context management, to guide language models through intelligent decision-making workflows, Experience with Retrieval-Augmented Generation (RAG) pipelines and generative AI, with a strong focus on optimizing NLP models for low-latency, high-accuracy production use, Solid foundation in deep learning methods, recommendation engines, and AI applications within HR or similar domains, Exposure to Reinforcement Learning (RL) frameworks and holds relevant certifications or specializations in Artificial Intelligence, showcasing continuous learning and depth in the field, Minimum Skills We Look For Skills & Expertise (with Agentic AI focus) Proven experience in building Agentic AI systems, including autonomous agents capable of multi-step reasoning, memory management, and tool use, Expertise in agent design patterns, task decomposition, dynamic planning, and decision-making logic using LLMs, Skilled in integrating multi-agent coordination, goal-setting, and feedback loops to create adaptive, evolving agent behavior, Strong command over prompt engineering, contextual memory structuring, and tool calling mechanisms within LLM-powered agent workflows, Proficiency in managing agent memory (short-term, long-term, episodic) using vector databases and custom memory stores, Ability to build autonomous task execution pipelines with minimal human input, combining language models, APIs, and third-party tools, Experience with frameworks and orchestration for agent behavior tracing, logging, and failure recovery, Tools & Technologies Agentic AI Agentic Frameworks: LangChain, CrewAI, AutoGen, AutoGPT, BabyAGI for building, managing, and orchestrating intelligent agents, LLM APIs: OpenAI (GPT-4/3 5), Anthropic (Claude), Cohere, Hugging Face Transformers, Memory & Vector Databases: FAISS, Weaviate, Pinecone, Chroma for embedding-based agent memory and contextual retrieval, Prompt Management Tools: PromptLayer, LangSmith for testing, evaluating, and refining agent prompts and traces, RAG & Context Enrichment: LangChain RAG pipelines, Haystack, Milvus, Autonomy Infrastructure: Docker, FastAPI, Redis, Celery for building scalable agent runtimes, Observability: OpenTelemetry, Langfuse (or similar) for tracing agent decisions, failures, and success metrics, Testing Agentic Behavior: Integration with PyTest + mock APIs/tools to validate autonomous decision logic and fallback strategies,

As a Data Scientist within the Product Analytics team, you will leverage data to identify "aha!" moments and enable business breakthroughs. You will be central in understanding investment customers financial needs and interactions with our products, services, channels, and Advisors. Job Responsibilities Search for collections of behaviors and events to enable timely, relevant outreach. Analyze drivers of sales team performance to understand acquisition, deepening, and retention outcomes. Predict a segment s unique financial needs to improve engagement with new clients. Overlay customer and channel behaviors to optimize staffing. Provide expertise in data visualization, machine learning, and text analytics/NLP to optimize sales performance. Create self-serve tools for real-time decision-making. Identify potential attrition events and determine effective counteraction timing. Required Qualifications, Capabilities, and Skills Unique combination of technical skills, mathematical know-how, storytelling, and intuition. Programming skills in R, Python, and Java for computational aspects and statistical models. Ability to apply machine learning, deep learning, and AI technologies appropriately. Problem-solving focus beyond model performance curves. Independent and collaborative thinking to implement creative solutions. Ability to summarize key information and present recommendations to influence senior management. Preferred Qualifications, Capabilities, and Skills Experience in insights functions at financial services, consulting firms, or marketing agencies. Experience in workforce analytics, sales performance analytics, or sales science organizations. Proficiency in big data disciplines, Agile methodologies, and new technologies. Proficiency with BI tools like Tableau and Shiny Dashboards.

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

Travel Partnerships and Media helps partners, including hotels, airlines, destination marketing organizations (DMOs) and more, deliver excellent traveler and B2B experiences. we'drive growth for our partners and the Expedia Group marketplace through competitive supply, our leading advertising and travel media network and affiliate solutions. The TPM Partner Journeys team is accountable for the overall experience of TPM supply partners. This team takes a holistic, macro-level approach to define and drive experience improvements across EG. We are responsible for measuring the partners overall experience, accounting for all touchpoints, and delivering insights to drive actionable improvements. As an Insight Analyst - Partner Journeys , you will leverage advanced analytics and AI to transform partner data into actionable insights within the TPM Partner Journeys team. As part of this team accountable for the overall experience of TPM supply partners, you will help establish foundational analytics frameworks while driving improvements in the partner experience and supporting Expedias strategic objectives through data-driven recommendations. In this role, you will: Apply analytical techniques to structured and unstructured data across holistic, cross-channel partner journeys to extract meaningful insights, identifying opportunities to reduce friction, increase revenue, and enhance satisfaction. Develop compelling data stories and visualizations that effectively communicate key journey insights and actionable recommendations to diverse stakeholders, helping drive experience improvements across Expedia Group. Establish foundational measurement frameworks to consistently evaluate partner experiences across all touchpoints, creating a comprehensive view of the partner journey. Leverage cutting-edge technologies including LLMs, generative AI, and text analytics platforms to analyze qualitative feedback, uncover sentiment patterns, and accelerate insight production. Establish and maintain robust insight production processes that support the Experience Management schedule, ensuring timely delivery of partner insights that drive actionable improvements. Collaborate with cross-functional teams to translate partner journey insights into strategic recommendations, helping the TPM Partner Journeys team fulfill its mission of holistic experience improvement. Experience and Qualifications: Bachelors degree in any technical discipline (eg, Analytics, Data Science, Engineering, Computer Science, Mathematics, Statistics) with 3+ years of experience in customer/partner experience analytics or similar data-focused roles. Strong experience generating insights from cross-channel partner journeys , with the ability to identify patterns across multiple touchpoints and build foundational analytics frameworks in evolving business environments. Expert-level data storytelling capabilities - demonstrated mastery in transforming complex data into compelling, action-oriented narratives that resonate with stakeholders and drive strategic business decisions. Advanced proficiency in data visualization and reporting tools (eg, Tableau, PowerBI , Looker) with exceptional ability to design intuitive dashboards that effectively communicate insights from complex partner journeys, with experience using conversation intelligence platforms like Zoom Revenue Accelerator or Gong being a plus . Experience utilizing text analytics platforms, survey tools, and CX management systems such as Qualtrics XMD or Medallia , with working knowledge of project management tools like Jira and Confluence being advantageous . Excellent communication and collaborative skills, with the proven ability to help establish new analytics processes and evangelize insights across organizational boundaries, ideally complemented by consulting experience and knowledge of AI/ML technologies , particularly generative AI or large language models (LLMs).

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Preferred Technical and Professional Experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms

Oliver Wyman is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey. Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

":" Job Description: We are looking for a highly skilled Senior Data Scientist with 39 years of experience specializing in Python, Large Language Models (LLMs), NLP, Machine Learning, and Generative AI . The ideal candidate will have a deep understanding of building intelligent systems using modern AI frameworks and deploying them into scalable, production-grade environments. You will work closely with cross-functional teams to build innovative AI solutions that deliver real business value. Responsibilities: Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks. Apply LLMs and Generative AI techniques to solve real-world problems. Build, train, fine-tune, and evaluate models for NLP and GenAI tasks. Collaborate with data engineers, MLOps, and product teams to operationalize models. Contribute to the development of scalable AI services and applications. Analyze large datasets to extract insights and support model development. Maintain clean, modular, and version-controlled code using Git. Requirements Must-Have Skills: 310 years of hands-on experience with Python for data science and ML applications. Strong expertise in Machine Learning algorithms and model development. Proficient in Natural Language Processing (NLP) and text analytics. Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers). Familiarity with model deployment and real-world application integration. Experience with version control systems like Git . Good to Have: Experience with PySpark for distributed data processing. Exposure to MLOps practices and model lifecycle management. Familiarity with cloud platforms such as AWS, GCP, or Azure. Knowledge of vector databases (e.g., FAISS, Pinecone) and embeddings. Educational Qualification: Bacheloror Masterdegree in Computer Science, Data Science, Statistics, or a related field. Benefits Work with cutting-edge technologies in a collaborative and forward-thinking environment. Opportunities for continuous learning, skill development, and career growth. Exposure to high-impact projects in AI and data science. ","

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

An AI Data Scientist at IBM is not just a job title – it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments