69 Knowledge Graphs Jobs

As a Data Scientist specializing in Generative AI, you will be responsible for the following: - Utilizing your 3+ years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. - Demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. - Applying your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. - Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools. - Proficiency in utilizing Hugging Face for model building and fine-tuning. - Demonstrating strong Python development skills specifically tailored for AI applications. - Working with vector databases, embeddings, and semantic search implementations. - Applying your solid MLOps background including CI/CD pipelines, DevOps integration, and AI deployment optimization. - Familiarity with FastAPI, Databricks, AWS, MLflow, Faiss, Redis, and OpenAI APIs. - Being a great problem-solver who enjoys debugging and improving AI systems. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - 4 to 5 years of relevant experience in Data Science with a focus on generative AI and NLP. - Proven track record of working with AI tools and frameworks mentioned in the job description. If you are passionate about Data Science and Generative AI, and enjoy working on cutting-edge technologies, this role is perfect for you. Apply now by sending your resume to deepak.visko@gmail.com or call 9238142824. Please note that this is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person at Noida.,

Role Overview: You are a seasoned Data Science Engineer responsible for spearheading the development of intelligent, autonomous AI systems. Your role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. - NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP). - Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. - Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. - Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Qualifications Required: - 8+ years of professional experience in AI/ML development, with a focus on agentic AI systems. - Proficient in Python, Python API frameworks, SQL, and familiar with AI/ML frameworks such as TensorFlow or PyTorch. - Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). - Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. - Familiarity with MLOps tools and practices for continuous integration and deployment. - Skilled in building and querying knowledge graphs using tools like Neo4j. - Hands-on experience with vector databases and embedding techniques. - Familiarity with RAG architectures and hybrid search methodologies. - Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. - Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously.,

You are a passionate and experienced professional in Generative AI (GenAI) sought to join the AI & Data Science team. Your expertise lies in working with LLMs, RAG pipelines, LangChain, and cloud AI services. Your primary responsibility will be designing, developing, and deploying GenAI solutions for real-world enterprise use cases. You will architect and implement LLM-based agent frameworks to enable task automation and intelligent decision-making. Additionally, you will develop and optimize RAG systems using effective chunking strategies for context-aware responses. LangChain will be utilized to orchestrate modular GenAI workflows integrated with vector databases such as FAISS, Pinecone, and Chroma. Furthermore, you will build and maintain knowledge graphs and incorporate Vision APIs to enhance multimodal intelligence. Advanced prompt engineering and token management techniques will be applied to control costs and enhance LLM accuracy. Ensuring reliability and robustness through hallucination control methodologies and responsible AI practices will also be a key focus. Your role will involve designing and deploying scalable GenAI applications on cloud platforms like Azure, AWS, or GCP. Collaboration with cross-functional teams including data scientists, cloud engineers, and domain experts to integrate GenAI into products will be essential. Leveraging tools like Docker for containerization and Git for code versioning, you will use SQL and Python to process and manipulate data effectively. Your must-have skills include expertise in Agent Frameworks (e.g., LangChain Agents), Retrieval-Augmented Generation (RAG), Chunking Strategies for document processing, deep understanding of LLMs (e.g., OpenAI, Anthropic, Meta, Cohere), experience with AI services on Azure, AWS, or GCP, LangChain framework, Vector Databases (e.g., FAISS, Pinecone, Weaviate), Token Management strategies, Knowledge Graphs (e.g., Neo4j, RDF-based models), Vision APIs (e.g., Google Vision, AWS Rekognition, Azure Computer Vision), Prompt Engineering, and proficiency in Python. Good-to-have skills include knowledge in AI/ML Algorithms and optimization, Deep Learning frameworks (e.g., PyTorch, TensorFlow), Computer Vision models and techniques, Hallucination Control Techniques, and Responsible AI frameworks and compliance methodologies. Your technical proficiencies should include programming in Python, working with cloud platforms like Azure, AWS, or GCP, utilizing Containers like Docker, managing Databases with SQL, and using Version Control systems like Git or similar. Qualifications required for this role are a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Relevant certifications in AI/ML or Cloud Platforms will be considered a plus, along with strong analytical thinking, problem-solving, and communication skills.,

You are a skilled Mid-Level AI Engineer with over 4 years of experience, seeking to join a dynamic team in Bangalore. You have a strong foundation in Machine Learning and Deep Learning algorithms, with proficiency in frameworks like TensorFlow and PyTorch. Your expertise includes working with Large Language Models (LLMs) such as OpenAI, Gemini, and DeepSeek, along with other reasoning models. Knowledge of Knowledge Graphs is a plus. Additionally, you are well-versed in Python frameworks like FastAPI and Django, and have extensive experience on Azure platforms including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is highly desirable. Your responsibilities will include designing and implementing full-stack AI solutions using various Machine Learning and Deep Learning algorithms, optimizing algorithms for NLP and Computer Vision applications, working with LLMs to create intelligent applications, leveraging Azure platforms for application deployment and scalability, applying algorithms rigorously to solve complex AI problems, building Python-based applications that integrate seamlessly with AI solutions, collaborating with interdisciplinary teams to gather requirements and translate them into technical specifications, and utilizing containerization and orchestration technologies to optimize deployment workflows. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field, proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms, expertise in frameworks like TensorFlow and PyTorch, experience with NLP and Computer Vision applications, proficiency in working with Large Language Models, extensive experience with Azure platforms, knowledge of Python frameworks, familiarity with containerization technologies and orchestration tools, and excellent problem-solving abilities with the capacity to work in a dynamic environment. Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning to ensure continuous improvement and innovation.,

The role requires you to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. In this role, you will be responsible for Model Development & Deployment, including model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance. You will also work on deploying and managing Large Language Models (LLMs) on cloud platforms, training and refining LLMs, and scaling LLMs up and down while ensuring blue/green deployments and roll back bad releases. Your tasks will also involve Data Management & Pipeline Operations, such as curating and preparing training data, monitoring data quality, transforming and aggregating data, building vector databases, and making data visible and shareable across teams. Monitoring & Evaluation will be a crucial part of your role, where you will track LLM performance, identify errors, optimize models, and create model and data monitoring pipelines with alerts for model drift and malicious user behavior. Infrastructure & DevOps tasks will include continuous integration and delivery (CI/CD), managing infrastructure for distributed model training using tools like SageMaker, Ray, Kubernetes, and deploying ML models using containerization technologies like Docker. Required Technical Skills for the role include proficiency in programming languages like Python, frameworks like PyTorch and TensorFlow, expertise in cloud platforms like AWS, Azure, or GCP, experience with containerization technologies, and familiarity with LLM-Specific Technologies such as vector databases, prompt engineering, and fine-tuning techniques. The position is located at DGS India in Pune, Baner, and falls under the Brand Merkle. It is a Full-Time role with a Permanent contract.,

As a Data Science Engineer at the VP level in Bangalore, India, you will be responsible for leading the development of intelligent, autonomous AI systems. Your role will involve designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. You will have the opportunity to design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Additionally, you will implement RAG pipelines by integrating LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. You will also be responsible for fine-tuning language models, training NER models, developing knowledge graphs, collaborating cross-functionally, and optimizing AI workflows. To be successful in this role, you should have at least 13 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS) and knowledge of LLMs, SLMs, semantic technologies, ontologies, and MLOps tools and practices is essential. Additionally, you should be skilled in building and querying knowledge graphs, have hands-on experience with vector databases and embedding techniques, and be familiar with RAG architectures and hybrid search methodologies. You will receive support through training and development opportunities, coaching from experts in your team, and a culture of continuous learning to aid in your progression. The company promotes a positive, fair, and inclusive work environment, welcoming applications from all individuals. Join us at Deutsche Bank Group, where we strive for excellence together every day. For more information about our company and teams, please visit our website: https://www.db.com/company/company.htm,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With a core value of Passion for Quality, over 1,300 professionals across twenty global locations work towards strengthening the supply of safe, quality medicines worldwide. USP values inclusivity and fosters a culture of mentorship and professional growth. The organization emphasizes Diversity, Equity, Inclusion, and Belonging in all aspects to build a world where quality healthcare is accessible to everyone. As part of the Digital & Innovation group at USP, we are seeking a Data Scientist proficient in advanced analytics, machine learning, and data visualization. The role involves working on projects that drive innovations and deliver digital solutions, aiming to create a unified experience within our ecosystem. Your impact at USP involves contributing to the public health mission, increasing access to high-quality medicine, and improving global health through public standards and programs. Additionally, investment in the professional development of all people managers ensures engaged and productive work environments. Key Responsibilities: - Conduct exploratory data analysis to identify anomalies, understand patterns, and test hypotheses. - Utilize machine learning techniques for classification and regression tasks to address business needs. - Apply natural language processing techniques to extract information and enhance business workflows. - Interpret and communicate results clearly to diverse audiences. - Collaborate with data scientists, data engineers, and the IT team to ensure project success. Qualifications: - Bachelor's degree in a relevant field or equivalent experience. - 5-7 years of experience for Senior Data Scientist, 8-10 years for Lead Data Scientist. - Proficiency in Python, SQL, and visualization packages. - Experience with CNN/RNN models, data extraction, and scraping. - Additional preferences include a master's degree, experience in life sciences or chemistry, and proficiency in GenAI concepts. Benefits at USP include comprehensive healthcare options, retirement savings, and company-paid time off. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Category: Information Technology Job Type: Full-Time,

As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI implementations through workflow automation and enterprise integration technologies. Utilizing platforms like MuleSoft, Workato, or Boomi, you will streamline data flow and ensure seamless system interoperability. In addition, you will design, fine-tune, and deploy state-of-the-art Generative AI models to address enterprise-specific use cases, such as knowledge management, customer support, personalized insights, and content generation. Collaborating with business stakeholders, you will identify high-impact opportunities for applying Generative AI and document their requirements. Furthermore, you will drive decisions on building custom AI solutions or leveraging existing technologies to align with the company's strategic goals and resource constraints. Your technical skills in programming languages like Python or Java, familiarity with cloud platforms such as AWS Bedrock, Azure AI Studios, or Google Cloud Vertex AI, and experience in data preprocessing and feature engineering will be essential in your role. Additionally, your problem-solving abilities, critical thinking skills, and adaptability to a fast-paced environment will contribute to your success at BlackLine. Join us at BlackLine, a technology-based company with a vision for the future and a culture that fosters diversity, inclusivity, and continuous learning. Be part of a winning team that values innovation and empowers its employees to thrive in the world of Finance Automation.,

Location - Airoli, Mumbai Contract Duration - 9 months (Extendable to a year) Key Responsibilities: Design and implement scalable data intelligence platforms that integrate structured and unstructured data sources. Develop and fine-tune Generative AI models (LLMs, GANs, Diffusion Models) for tasks such as text generation, synthetic data creation, and content automation. Collaborate with data engineers, ML engineers, and product teams to deploy AI solutions into production environments. Build and maintain data pipelines , feature stores, and model monitoring systems. Apply prompt engineering techniques to optimize LLM performance for business use cases. Conduct experiments and A/B testing to evaluate model performance and business impact. Ensure compliance with data governance, privacy, and ethical AI standards. Expertise in AKS. Should be able to integrate the solution in current landscape. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, AI, or related field. 3-5 years of experience in data science, machine learning, or AI engineering. Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA) and frameworks like Hugging Face, LangChain, or OpenAI APIs. Proficiency in Python , SQL, and cloud platforms (AWS, Azure, or GCP). Strong understanding of data modeling , ETL processes , and MLOps . Experience with vector databases , embedding models , and retrieval-augmented generation (RAG) is a plus. Preferred Skills: Experience with knowledge graphs , semantic search , or data fabric architectures . Familiarity with AutoML , RLHF , or multi-modal AI . Excellent communication and stakeholder management skills. Show more Show less

The role available is for a full-time on-site Knowledge Engineer position within the MSIT Program in Hyderabad. As a Knowledge Engineer, your primary responsibilities will revolve around tasks associated with Knowledge Management, Knowledge Engineering, Knowledge Representation, Knowledge Graphs, and Analytical Skills. To excel in this role, you should possess a strong foundation in Knowledge Management and Knowledge Engineering, coupled with expertise in Knowledge Representation and Knowledge Graphs. Proficiency in Analytical Skills is a must, along with a knack for solving complex problems. The ability to collaborate effectively within a team environment is essential, complemented by experience in data analysis and interpretation. The ideal candidate for this position should hold a Master's degree in Computer Science, Information Technology, or a related field. By joining the MSIT Program in this capacity, you will have the opportunity to contribute your skills and expertise to a dynamic and forward-thinking environment.,

You will be joining SAP, a company that is focused on enabling you to bring out your best and help the world run better. The company culture emphasizes collaboration and a shared passion for creating a workplace that values differences, embraces flexibility, and is aligned with purpose-driven and future-focused work. At SAP, you will experience a highly collaborative and caring team environment that prioritizes learning and development, acknowledges individual contributions, and provides a variety of benefit options for you to choose from. As a Knowledge Engineer (f/m/d) for Enterprise Knowledge Graphs at SAP, you will have the opportunity to contribute to the development of Knowledge Graphs as a source of explicit knowledge across multiple SAP domains. Your role will involve supporting the integration of Knowledge Graphs in various tasks such as Generative AI applications, designing and building large-scale Knowledge Graphs using business data, and collaborating with Knowledge and Data engineering teams and stakeholders to meet requirements. To excel in this role, you should have a Bachelors or Masters degree in computer science, artificial intelligence, physics, mathematics, or related disciplines. Professional experience in Knowledge Graphs and their application in a business context would be advantageous. Knowledge of RDF Knowledge Graph technology stack, semantic/knowledge modeling, and experience with Knowledge Graph databases are desirable. Additionally, familiarity with latest trends in Knowledge Graphs, data science knowledge, Python proficiency, and strong communication and collaboration skills are essential for this role. The AI organization at SAP is dedicated to seamlessly infusing AI into all enterprise applications, allowing customers, partners, and developers to enhance business processes and generate significant business value. By joining the international AI team at SAP, you will be part of an innovative environment with ample opportunities for personal development and global collaboration. At SAP, inclusivity, health, well-being, and flexible working models are emphasized to ensure that every individual, regardless of background, feels included and can perform at their best. The company values diversity and unique capabilities, investing in employees to inspire confidence and help them realize their full potential. SAP is an equal opportunity workplace and an affirmative action employer committed to creating a better and more equitable world. If you are interested in applying for employment at SAP and require accommodation or special assistance, please reach out to the Recruiting Operations Team at Careers@sap.com. SAP employees can also explore roles eligible for the SAP Employee Referral Program under specific conditions outlined in the SAP Referral Policy. Background verification with an external vendor may be required for successful candidates. Join SAP, where you can bring out your best and contribute to innovations that help customers worldwide work more efficiently and effectively, ensuring challenges receive the solutions they deserve.,

The Digital & Innovation group at USP is looking for a Data Scientist with expertise in advanced analytics, including predictive modeling, machine learning, and natural language processing, as well as data visualization. As a Data Scientist at USP, you will be involved in projects that drive innovations and deliver digital solutions, contributing to USP's public health mission of increasing access to high-quality, safe medicine and improving global health through public standards and related programs. Your role will involve utilizing exploratory data analysis to identify anomalies, patterns, and test hypotheses, applying machine learning techniques for classification and regression tasks, using natural language processing to extract information and enhance business workflows, and effectively communicating results to diverse audiences. The ideal candidate for this role will have a Bachelor's degree in a relevant field or equivalent experience, along with 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing for a Senior Data Scientist position, or 8-10 years for a Lead Data Scientist position. Technical proficiency in Python and related packages, as well as SQL, is required, along with experience in CNN/RNN models, data extraction, and scraping. Additional desired preferences include a Master's degree, experience in scientific chemistry or life sciences, proficiency in GenAI concepts with graph data, and the ability to translate stakeholder needs into technical project outputs. USP offers a comprehensive benefits package to ensure the personal and financial well-being of its employees and their families. If you are a self-directed individual with strong communication skills, the ability to handle multiple projects simultaneously, and make tough decisions when necessary, this role at USP may be the perfect fit for you.,

Data Science Engineer, AS Position Overview Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What we'll offer you As part of our flexible scheme, here are just some of the benefits that you'll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms, working closely with project stakeholders to understand requirements and translate them into deliverables, utilizing statistical and machine learning techniques to analyze and interpret complex data sets, staying updated with the latest advancements in AI/ML technologies and methodologies, and collaborating with cross-functional teams to support various AI/ML initiatives. To qualify for this position, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, as well as a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), expertise in building secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks, experience with data visualization tools, knowledge of deep learning frameworks, experience with version control systems, and strong knowledge and experience in Generative AI/LLM based development. Good to have skills for this position include knowledge and experience in building knowledge graphs in production and understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, and we believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.,

About Mobius: Mobius is redefining how machines learn and evolve, not just with data, but with theory, behavior, and context. The platform being built aims to enable software systems to adapt like organisms, evolve based on utility, and learn from their environment. At the core of Mobius lies the science of knowledge - how it is formed, shared, modified, and applied. Mobius is where learning transcends into architecture. The Role: As the Chief Knowledge Architect at Mobius, you will be responsible for leading the adaptive learning and behavioral modeling strategy across the platform. Your role will focus on ensuring that Mobius can simulate behaviors, modulate decision patterns, and evolve in response to changing goals or feedback. This position entails a unique blend of expertise in behavioral science, complexity theory, and computational modeling. What You'll Own: - Designing systems for agent behavior modeling based on goals and incentives - Developing adaptive learning mechanisms utilizing environment feedback - Implementing behavioral nudging and strategy evolution over time - Real-time graph rewriting to reflect changing knowledge - Facilitating emergent knowledge construction from swarm-level coordination - Defining the knowledge modulation layer for all reasoning and workflow systems - Collaborating with research teams to translate theoretical constructs into production systems What We're Looking For: - Minimum of 15 years of experience in AI, behavioral modeling, or adaptive system design - Proficiency in knowledge graphs, agent-based modeling, and cognitive modeling - Strong foundation in systems theory, learning theory, and decision sciences - Prior experience in building self-improving systems or recursive feedback architectures - Knowledge of game theory, complexity science, and socio-technical systems Bonus Points: - PhD or equivalent in AI, cognitive science, or complexity theory - Experience in translating theoretical science into software platforms - Previous work in dynamic graph processing, knowledge automation, or policy modeling Mobius is not seeking builders but architects of the future. If you envision software that thinks, adapts, and evolves, then Mobius is where your imagination meets reality.,

Are you ready to help shape the future of healthcare Join GSK, a global biopharma company with a special purpose to unite science, technology, and talent to get ahead of disease together. GSK aims to positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns. As an organization where people can thrive, GSK is committed to preventing and treating diseases on a global scale. By joining GSK at this exciting moment, you can contribute to the mission of getting Ahead Together. As the Principal Data Engineer at GSK, you will play a crucial role in transforming the commercial manufacturing and supply chain organization. Your responsibilities will include increasing capacity and speed for transferring new products from the R&D organization. Data and AI are essential components in achieving these goals, ultimately helping to launch medicines quicker and have a positive impact on patients. The primary purpose of your role is to take technical accountability for the CMC Knowledge Graph. You will drive forward its design and implementation by providing technical direction and oversight to the development team. Additionally, you will collaborate with Product Management, business representatives, and other Tech & Data experts to ensure that the CMC Knowledge Graph meets the business requirements. Your role will involve supporting the CMC Knowledge System Director, product managers, business leaders, and stakeholders in identifying opportunities where Knowledge Graph and other Data & AI capabilities can transform GSK's CMC and New Product Introduction processes. You will provide technical leadership for other Data & AI products in the CMC/NPI portfolio. Your immediate priority will be to lead the technical work required to transition an existing proof-of-concept CMC Knowledge Graph and its associated analytics use-cases into a full-fledged, sustainable Data & AI product. This will involve leading the technical design, development, testing, and release of the CMC Knowledge Graph and other Data & AI solutions in the CMC/NPI portfolio. To succeed in this role, you should have a proven track record in delivering complex data engineering projects in a cloud environment, preferably Azure, with a total of 16+ years of experience. Strong technical expertise in designing, developing, and supporting Knowledge Graphs is essential, along with proficiency in working with graph technologies such as RDF, OWL, SPARQL, and Cypher. Experience in leading and managing technical teams, data modeling/ontologies, data integration, data transformation techniques, programming skills, and familiarity with DevOps principles and CI/CD practices are also required. If you possess an understanding of pharmaceutical industry data, domain knowledge within CMC, and knowledge of GxP compliance requirements, it would be a plus. By joining GSK, you will be part of a global biopharma company that is dedicated to uniting science, technology, and talent to get ahead of disease together. GSK focuses on preventing and treating diseases with vaccines, specialty and general medicines, and invests in core therapeutic areas such as infectious diseases, HIV, respiratory/immunology, and oncology. If you are looking for a place where you can be inspired, encouraged, and challenged to be the best you can be, join GSK on this journey to get Ahead Together.,

You are a highly skilled Data Scientist with expertise in AI agents, generative AI, and knowledge engineering, tasked with enhancing AI-driven cloud governance solutions. Your main focus will be on advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs (OWL ontologies) in a Python environment. Working at the intersection of machine learning, AI-driven automation, and cloud governance, you will be responsible for designing intelligent agents that adapt dynamically to cloud ecosystems. Your contributions will play a crucial role in FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. Your key responsibilities will include designing, developing, and optimizing LLM-based multi-agent systems for cloud governance, implementing agent collaboration using frameworks like LangChain, AutoGen, or open-source MAS architectures, and developing adaptive AI workflows to enhance governance, compliance, and cost optimization. You will also be applying generative AI techniques such as GPT-4, Google Gemini, and fine-tuned BERT models to knowledge representation and reasoning, designing and managing knowledge graphs, OWL ontologies, and SPARQL queries for intelligent decision-making, and enhancing AI agent knowledge retrieval using symbolic reasoning and semantic search. Additionally, you will be developing embedding-based search models for retrieving and classifying cloud governance documents, fine-tuning BERT, OpenAI embeddings, or custom transformer models for document classification and recommendation, and integrating discrete event simulation (DES) or digital twins for adaptive cloud governance modeling. In the realm of cloud governance and automation, your tasks will involve working with multi-cloud environments (AWS, Azure, GCP, OCI) to extract, analyze, and manage structured/unstructured cloud data, implementing AI-driven policy recommendations for FinOps, SecOps, and DevOps workflows, and collaborating with CloudOps engineers and domain experts to enhance AI-driven automation and monitoring. To qualify for this role, you need to have at least 4+ years of experience in Data Science, AI, or Knowledge Engineering, strong proficiency in Python and relevant ML/AI libraries (PyTorch, TensorFlow, scikit-learn), hands-on experience with knowledge graphs, OWL ontologies, RDF, and SPARQL, expertise in LLMs, NLP, and embedding-based retrieval, familiarity with multi-agent systems, LangChain, AutoGen, and experience working with cloud platforms (AWS, Azure, GCP) and AI-driven cloud governance. Preferred qualifications include experience with knowledge-driven AI applications in cloud governance, FinOps, or SecOps, understanding of semantic search, symbolic AI, or rule-based reasoning, familiarity with event-driven architectures, digital twins, or discrete event simulation (DES), and a background in MLOps, AI pipelines, and cloud-native ML deployments. In return, you will have the opportunity to work on cutting-edge AI agent ecosystems for cloud governance in a collaborative environment that brings together AI, knowledge engineering, and cloud automation. Competitive compensation, benefits, and flexible work arrangements (remote/hybrid) are also part of the package. If you thrive in a fast-paced environment, demonstrate intellectual curiosity, and have a passion for applying advanced AI techniques to solve real-world cybersecurity challenges, this role is for you.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Basics of Statistics Experience in ML models Linear Regression, Logistic regression, Random forest etc Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Experience in Azure platform Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

As a Data Scientist Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of a dynamic team where your unique skills will contribute to a successful culture and team. Your role involves collaborating with an agile team to create and implement reliable data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your responsibilities include the development, testing, and maintenance of crucial data pipelines and architectures across multiple technical areas within different business functions to support the firm's objectives effectively. In this position, you will design and implement solutions that leverage AI capabilities to address data management challenges. You will also provide guidance on and prioritize research areas that uphold data management and governance standards. Collaboration with lines of business and corporate functions is essential to identify co-development solutions focused on overcoming data management obstacles. The ideal candidate should have formal training or certification in data science concepts along with a minimum of 3 years of practical experience. Demonstrated expertise in deploying and overseeing machine learning models in production environments is necessary. You should possess a strong ability to monitor ML models in production, effectively tackling performance and data quality issues. Proficiency in implementing security best practices and compliance standards for Machine Learning systems is crucial. Experience with infrastructure optimization techniques to improve performance and efficiency is required. Additionally, developing REST APIs using frameworks like Flask or FastAPI for seamless integration into business solutions is expected. Preferred qualifications include experience with formal methods and formal verification, knowledge graphs, graph theory, and data management. These additional skills would be advantageous in fulfilling the responsibilities of the role effectively.,

Conducting research aligned with the roadmaps to de-risk, mature, and incorporate advanced AI concepts into Honeywell products, focusing on the latest advancements in generative AI, causal modeling, knowledge graphs, machine learning, and deep learning techniques. Research, design, and implement scalable AI-based solutions to address high-value and complex customer challenges, thereby fostering new growth opportunities. Lead prototyping activities to support pilot programs for research and development purposes. Collaborate with cross-functional teams to devise data-driven solutions. Take ownership of problem analysis, stakeholder engagement, solution design, front-end and back-end integration, maintenance, and support of data science and analytics solutions. Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes. You Must Have: - Bachelor's/Master's degree in Engineering, Applied Mathematics, or a related field. - Strong analytics skills, including the ability to evaluate data, derive insights, and provide recommendations. - Proficiency in manipulating data sets and constructing statistical models. - Strong problem-solving skills with a focus on product development. - Chemical engineers with APC/APM experience will have an added advantage. - Experience supporting fast-paced startup engineering teams. - In-depth knowledge of the latest trends and advancements in AI and ML, particularly in generative models and LLM (both Cloud and OnPrem). - Proficiency in programming languages and libraries. - Cloud expertise in AWS and Azure. - Proficiency in languages such as Advanced Python, pySpark. - Familiarity with frameworks like Lambda, Django, Express. - Experience with databases like Postgres, Mongo, ES. - Hands-on experience in design and development, including Automated Unit testing (pyTest), with a robust technical background to create high-performance and scalable applications. - Minimum of 4 years of relevant experience in data science-related product development.,

As an Associate GenAI Developer at our organization, you will be an integral part of our dynamic and global team. Your primary responsibility will be to leverage your expertise in applied generative AI to develop and implement innovative AI solutions. This role will require you to collaborate with various stakeholders and cross-functional teams within our Wealth Management division to drive technological advancements and foster innovation. Your key responsibilities will include working closely with stakeholders to understand their requirements and deliver AI solutions across multiple domains within Wealth Management. It will be essential for you to stay abreast of the latest advancements in AI and machine learning technologies while conducting research and experiments to enhance our AI capabilities. To excel in this role, you must possess expertise in Retrieval-Augmented Generation (RAG) models to optimize information retrieval and generation tasks. Additionally, knowledge of Vector Stores for efficient data storage, proficiency in prompt engineering to enhance AI model accuracy, and familiarity with Large Language Model APIs (LLM APIs) are crucial competencies required for this position. We also value competencies in Graph RAG for complex data relationships, building Knowledge Graphs, and experience with machine learning frameworks such as TensorFlow and PyTorch. Familiarity with cloud platforms like AWS, Google Cloud, and Azure, as well as expertise in natural language processing (NLP) and computer vision technologies, will be advantageous. Strong communication skills, problem-solving abilities, and a keen attention to detail are essential traits for success in this role. A background in programming languages such as Python or Java, coupled with robust data analysis skills, will be beneficial. Additionally, a Master's or Ph.D. in Computer Science, Data Science, or a related field, along with 6-10 years of relevant experience, will greatly contribute to your success as an Associate GenAI Developer. Join us at Goldman Sachs, where we are committed to nurturing diversity, fostering inclusion, and providing ample opportunities for professional and personal growth. We believe that diversity strengthens our firm and enables us to better serve our clients, shareholders, and communities around the world. To learn more about our culture, benefits, and career opportunities, visit GS.com/careers. At Goldman Sachs, we are dedicated to accommodating candidates with special needs or disabilities during the recruitment process. For more information on our commitment to providing reasonable accommodations, visit: https://www.goldmansachs.com/careers/footer/disability-statement.html. The Goldman Sachs Group, Inc., 2023. All rights reserved.,

As a Senior Data Science Engineer Lead at our Bangalore location, you will be responsible for spearheading the development of intelligent, autonomous AI systems. Your role will involve leveraging technologies such as agentic AI, LLMs, SLMs, Vector DB, and knowledge graphs to design and deploy innovative AI solutions, focusing on enhancing enterprise applications. You will work as part of a cross-functional agile delivery team, bringing an innovative approach to software development and contributing to all stages of software delivery. In this position, you will design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. You will also implement RAG Pipelines by integrating LLMs with vector databases and knowledge graphs to create dynamic retrieval systems. Additionally, you will fine-tune language models, train NER models, develop knowledge graphs, collaborate cross-functionally, and optimize AI workflows using MLOps practices. To be successful in this role, you should have 15+ years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and AI/ML frameworks like TensorFlow or PyTorch. Experience with deploying AI models on cloud platforms, familiarity with semantic technologies, MLOps tools, vector databases, RAG architectures, and hybrid search methodologies is essential. Strong problem-solving abilities, analytical thinking, excellent communication skills, and the ability to work independently on multiple projects are also key requirements. We offer a range of benefits including best in class leave policy, parental leaves, reimbursement under childcare assistance benefit, sponsorship for certifications, employee assistance program, hospitalization insurance, accident and term life insurance, health screening, training, coaching, and a culture of continuous learning to support your career progression. Join us at our Bangalore location to be part of a collaborative team that strives for excellence every day. Visit our company website for more information about Deutsche Bank Group and our inclusive work environment. We welcome applications from all individuals who share our values of responsibility, initiative, and collaboration.,

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

As a Founding AI Engineer, you will be responsible for building the AI Reasoning Layer for Education. You will play a crucial role in reimagining the core intelligence layer for education, addressing the challenging task of subjective assessment automation and ultra-personalized learning at scale. This opportunity goes beyond a typical LLM application as you will be involved in developing a first-principles AI reasoning engine that integrates multi-modal learning, dynamic knowledge graphs, and real-time content generation. The ultimate goal is to revolutionize the education sector by eliminating manual evaluation time wastage and creating an AI system that comprehends the human learning process. Your primary tasks will involve solving complex problems at the cutting edge of LLMs, computer vision, and generative reasoning. You will be working on challenges such as achieving near-human accuracy in Handwriting OCR, real-time learner knowledge modeling, creating generative AI for dynamic video lessons, and building scalable inference infrastructure to support millions of learners in real time. In this role, you will architect, deploy, and optimize multi-modal AI systems including OCR, knowledge-state inference, and adaptive content generation. You will design reasoning engines that merge LLMs, retrieval methods, and learner data to dynamically steer the learning process. Fine-tuning foundation models, implementing advanced techniques, and designing production-grade AI systems will be integral parts of your responsibilities. Additionally, you will lead experiments at the forefront of AI research and have the opportunity to publish your findings. The ideal candidate must possess deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning, proficiency in AI frameworks like PyTorch, TensorFlow, and Hugging Face, as well as knowledge of optimizing AI for production are essential requirements. Experience in knowledge graphs, AI-driven reasoning systems, and familiarity with Diffusion Models, Transformers, and GNNs are highly desirable skills. This role offers a unique opportunity to define the AI stack for a groundbreaking product right from its inception. You will have significant ownership across research, engineering, and infrastructure domains, along with founding-level equity in a high-growth company addressing a multi-billion dollar problem in the education sector. If you are passionate about pushing the boundaries of LLMs, CV, and multimodal models, and shaping the foundational AI layer for education, this role is tailored for you.,