50 Knowledge Graphs Jobs

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.,

You are an experienced professional with over 13 years of total experience, specializing in machine learning. You have a proven track record of delivering impactful solutions in Natural Language Processing (NLP), machine vision, and Artificial Intelligence (AI). Your proficiency includes programming languages like Python or R, as well as experience with data manipulation libraries such as Pandas and NumPy. You possess a strong understanding of statistical concepts and techniques, applying them effectively to real-world problems. Your expertise extends to deep learning frameworks like TensorFlow, PyTorch, or JAX, along with machine learning libraries like scikit-learn. You have proficient experience with Generative AI frameworks such as GANs, VAEs, prompt engineering, and retrieval-augmented generation (RAG), applying them to real-world scenarios. Additionally, you have exposure to graph-based models, knowledge graphs, and related query languages. In your role, you demonstrate hands-on skills in data engineering and building robust ML pipelines. You are experienced in working with personalization engines and integrating digital marketing platforms. Your responsibilities include architecting scalable, cloud-based AI/ML solutions on platforms like AWS, Azure, or GCP, integrating data pipelines and AI services. You possess excellent communication skills and collaborate effectively with cross-functional teams. Your daily tasks involve writing and reviewing high-quality code, understanding clients" business use cases and technical requirements, and translating them into elegant technical designs. You are adept at identifying different solutions and selecting the best option that aligns with clients" needs. Defining guidelines and benchmarks for non-functional requirements (NFRs) during project implementation is also part of your responsibilities. Moreover, you write and review design documents, explaining the overall architecture, framework, and high-level design of applications for developers. You review architecture and design aspects like extensibility, scalability, security, design patterns, user experience, and NFRs, ensuring adherence to best practices. You develop the overall solution for defined functional and non-functional requirements, defining technologies, patterns, and frameworks to bring it to fruition. Your qualifications include a Bachelor's or Master's degree in computer science, Information Technology, or a related field.,

As a Data Scientist Associate Senior at JPMorgan Chase within the Asset & Wealth Management, you will be an integral part of a dynamic team. Your distinctive skills will contribute to a winning culture and team. In this role, you will serve as a seasoned member of an agile team, working to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. Your primary responsibility will be to develop, test, and maintain critical data pipelines and architectures across multiple technical areas within various business functions to support the firm's business objectives. Your key job responsibilities will include designing and developing solutions that leverage AI capabilities for data management challenges. You will also be responsible for advising and leading the prioritization of research areas that support data management and governance. Furthermore, you will update and collaborate with our lines of business and corporate functions to identify co-development solutions focused on data management challenges. To be successful in this role, you must have formal training or certification in data science concepts and at least 3 years of applied experience. You should also have proven experience in deploying and managing machine learning models in production environments. A strong ability to monitor ML models in production, address model performance, and data quality issues effectively is essential. Additionally, you should have a working knowledge of security best practices and compliance standards for Machine Learning systems. Experience with infrastructure optimization techniques to enhance performance and efficiency will be beneficial. Proficiency in developing REST APIs using frameworks such as Flask or FastAPI for seamless integration into business solutions is also required. Preferred qualifications, capabilities, and skills for this role include experience with formal methods and formal verification. Knowledge of knowledge graphs and graph theory is a plus. Experience with data management will also be advantageous.,

You are a Senior or Staff AI Scientist responsible for leading the development of domain-specific business ontologies and knowledge engineering infrastructure. Your expertise will be utilized to leverage cutting-edge LLMs, GenAI, and symbolic reasoning to establish an ontology layer, which will serve as the cornerstone of the data platform. This initiative aims to facilitate intelligent data harmonization, enrichment, and decision automation at a large scale. Your key responsibilities will involve spearheading the research and development of ontology learning systems by leveraging state-of-the-art LLMs, structured data mining, and semantic reasoning techniques. You will be tasked with constructing and expanding domain-specific knowledge graphs that seamlessly integrate both external and internal data sources. Additionally, you will drive innovation in semi-automated ontology construction, concept disambiguation, and alignment using GenAI, contrastive learning, and knowledge distillation methodologies. Collaboration across departments is crucial in embedding ontology-driven intelligence into various pipelines, applications, and decision systems. You will work closely with data platform engineers, AI scientists, and product teams to ensure seamless integration and implementation of these intelligent systems. Furthermore, you will be responsible for defining core metrics to evaluate the quality of ontologies, knowledge coverage, and subsequent performance enhancements such as data harmonization and semantic search capabilities. Your role will also involve collaborating with ML infrastructure teams to optimize representation formats (RDF, Knowledge graphs, etc.) and enable scalable, low-latency retrieval and reasoning processes. To qualify for this position, you should hold a PhD or Masters degree in Computer Science, AI, Data Science, or a related field with a focus on knowledge representation, natural language understanding, or data systems. Moreover, you should possess a minimum of 8 years of experience in applied AI or ML research with a specific focus on ontologies, knowledge engineering, entity resolution, or semantic systems. Your expertise should extend to working with LLMs (e.g., GPT, LLaMA, PaLM, Claude) for knowledge extraction, generation, or few-shot learning. A strong background in data engineering, including schema mapping, metadata, master data management, or data pipelines at scale, is also essential. You are expected to have a deep understanding of semantic data models such as ontologies and hands-on experience with relevant libraries or frameworks. Proficiency in programming languages like Python, as well as frameworks like PyTorch or TensorFlow, and graph technologies such as Neo4j, RDFLib, SPARQL, etc., will be beneficial in fulfilling the requirements of this role.,

Join and contribute to the discovery of medicines that will impact lives! Aganitha, located in Hyderabad, India, aims to accelerate drug discovery and development for Biopharma and Biotech R&D using in silico solutions. These solutions leverage Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps to transform the biopharma and biotech industries. Aganitha's team of experts in Genomics, AI, and Cloud computing focuses on accelerating drug discovery and development. The joy of working in an innovation-rich, research-powered startup that bridges multiple disciplines to bring medicines faster for human use drives the team. Aganitha works with several innovative Biopharma companies and is expanding its client base globally. As a member of Aganitha, you will apply your full-stack data science capabilities to help researchers accelerate the investigation of human diseases, exploration, design, and optimization of therapeutic options, as well as the design, analysis, and optimization of reactions - both chemical and bio syntheses. Key Responsibilities: - Scope, define, and deliver AI-based data products covering data analysis, visualization, storytelling, and data technologies - Build models, algorithms, simulations, and performance evaluation using state-of-the-art machine learning technologies - Apply NLP techniques for mining knowledge from different types of data to derive insights for downstream processes - Develop models and serve with PyTorch / Tensor Flow (TF) for deep learning research - Translate business requirements into tangible solution specifications and high-quality deliverables - Build solutions for data discovery, acquisition, processing & cleaning, integration & storage, and interpretation - Define and manage production processes using machine learning models through MLOps pipelines - Work with stakeholders to analyze & solve business problems using ML & AI capabilities and support deployment on a cloud platform - Stay updated on industry trends, innovations, and developments in AI/ML Desired Skills / Expertise: - Experience in Natural Language Understanding, Computer Vision, Machine Learning, Optimisation - Building and deploying ML systems using frameworks like PyTorch, TensorFlow, Keras, sklearn, etc. - Expertise in modular, typed, and object-oriented Python programming - Proficiency in core data science languages (Python, R, Scala) and data systems (SQL, NoSQL, knowledge graphs) - Excellent communication skills for multidisciplinary team collaboration Educational Qualifications: - Bachelors / Masters / Ph.D. in Computer Science or related technical field Aganitha leverages a virtuous cycle of innovation between Fundamental Sciences and Computer/Data Science, with a multi-disciplinary team at the forefront of these disciplines.,

We are hiring AL/ML Engineers with 5–8 years of experience in AI/ML, Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM flows. Required Candidate profile Experienced AI/ML Engineer with expertise in Agentic AI, Gen AI, TensorFlow, RAG pipelines, and LLM workflows. Seeking challenging lead-level opportunities. Ready to join within 30 days.

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As a Senior AI Engineer / Data Scientist at our cutting-edge Ed-Tech company based in Delhi, you will play a crucial role in designing, developing, and deploying advanced AI/ML models that have a significant impact on our business. Your focus will be on utilizing AI technologies to enhance education through various initiatives such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets. Your key responsibilities will include designing, optimizing, and implementing AI and machine learning models tailored specifically for Ed-Tech use cases. This will involve working on projects related to question generation, auto-evaluation systems, adaptive learning engines, AI tutors, and automated answer sheet grading. Additionally, you will be responsible for integrating AI models with frontend interfaces and backend server logic, handling both structured and unstructured data using SQL and NoSQL databases, and ensuring high standards of data security, privacy, and compliance. To succeed in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 4-6 years of hands-on experience in AI/ML development. You should have a strong background in Generative AI, time series forecasting, recommendation systems, and real-world AI solutions, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of machine learning algorithms, data structures, model tuning, and evaluation metrics is essential, and experience with Knowledge Graphs and Docker deployments would be beneficial. Furthermore, you should be adept at developing and maintaining microservices-based architectures, possess strong testing skills using platforms like unittest, and excel in communication, documentation, and team collaboration. Prior experience in Ed-Tech or deploying AI solutions in production environments, as well as active contributions to open-source projects or a well-maintained GitHub portfolio, would be considered advantageous. If you are passionate about leveraging AI to solve real-world challenges in the education sector and thrive in a collaborative, innovative environment, we would love to hear from you. Join our team and be part of revolutionizing education through AI-driven technologies.,

As an AI Engineer specializing in GenAI & ML Solutions at a leading global credit rating and financial analytics organization, you will be at the forefront of AI innovation in finance technology with exposure to cutting-edge GenAI techniques. Your primary responsibility will be to develop and deploy advanced AI solutions using the latest Generative AI techniques, including Retrieval-Augmented Generation (RAG) pipelines and designing Agentic AI systems to automate complex decision-making workflows. You will also be tasked with fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation and building scalable AI workflows while adhering to robust engineering and code quality standards. In this role, you will lead the end-to-end AI solution development lifecycle, from prototyping and experimentation to deployment on cloud platforms such as AWS, Azure, or GCP. Collaboration with cross-functional global teams, including financial analysts, technology architects, and client stakeholders, will be essential to translate business challenges into AI-driven solutions. Additionally, you will continuously evaluate emerging AI technologies and research to ensure that the organization's AI toolkit remains state-of-the-art. To be successful in this position, you should possess 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and proven experience deploying AI/ML solutions on cloud platforms are required. Exposure to NLP, knowledge graphs, ML ops, or similar related areas would be a significant advantage. Effective communication skills, the ability to collaborate across global teams, and handle client interactions are also important traits for this role. A Bachelors or Masters degree from premier Indian institutes in Computer Science, any Engineering discipline, Mathematics, or related quantitative fields is preferred. Join us in redefining how financial intelligence is powered and delivered through innovative AI solutions that have a real-world impact on business outcomes. Grow your career in an environment that fosters best coding practices, continuous learning, and breakthrough AI deployments on cloud platforms while working in a hybrid setup in Pune or Mumbai.,

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies" success. As a Research Engineer at SAI Group, you will play a key role in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This position offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models, and more to contribute to the design and development of an innovative enterprise AI platform, delivering transformative, AI-enabled work experiences for enterprise users. Your responsibilities will include: - Experimentation and Research: Systematically exploring various technologies and strategies to enhance understanding and utilization of foundation models and related Generative AI frameworks. - Development and Analysis: Designing experiments, building tools, running experiments, and analyzing results to shape the architecture of the enterprise AGI platform. - Prototyping and Innovation: Developing and refining prototypes for the platform based on the latest advancements and insights gained from research activities. Requirements for this role include: - Proven hands-on experience in prototyping advanced deep technologies in AI/ML. - Hands-on experience with AI foundation models to craft real-world applications. - Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem, agent frameworks, and tools. - Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies. - Knowledge and/or experience with technologies like reinforcement learning, ontologies, knowledge graphs, etc. - Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies. - At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context. Joining SAI Group offers you the chance to be part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence-driven future. We value bold innovation, continuous learning, and offer a competitive salary, equity options, and an attractive benefits package including health, dental, vision insurance, and flexible working arrangements. Your work will directly contribute to pioneering solutions with the potential to transform industries and redefine how we interact with technology.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

The Senior Data Scientist - R01551342 position is for a Data Science Lead with expertise in problem formulation, OKR validation, data wrangling, data storytelling, problem solving, Excel VBA, data curiosity, technical decision making, communication & articulation, business acumen, design thinking, and data literacy. As the Agentic AI Lead, you will play a crucial role in researching, developing, and deploying semi-autonomous AI agents to address complex enterprise challenges. You will be required to leverage LangGraph, lead projects aimed at constructing multi-agent AI systems with enhanced autonomy and decision-making capabilities. The ideal candidate should possess in-depth knowledge of LLM orchestration, knowledge graphs, reinforcement learning, and real-world AI applications. You will be tasked with designing, scaling, and optimizing agentic AI workflows to align with business objectives and drive innovation in AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation and decision-making. - Create memory-augmented AI agents capable of planning, reasoning, and executing tasks across various domains. - Implement scalable architectures for LLM-powered agents that integrate seamlessly with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows with LangGraph for high performance and scalability. - Use knowledge graphs and retrieval-augmented generation techniques to enhance agent reasoning. - Apply reinforcement learning methodologies for improved decision-making. 3. Driving AI Innovation & Research: - Lead AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay updated on advancements in multi-agent systems and goal-directed behavior to apply best practices in enterprise AI solutions. - Prototype self-learning AI agents for autonomous adaptation based on real-time feedback. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions for automation, efficiency, and cost savings. - Lead proof-of-concept projects to demonstrate business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Mentor AI Engineers and Data Scientists to build expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. This role requires a strategic thinker with strong technical skills and a passion for innovation in AI technologies. The successful candidate will drive AI initiatives, lead research efforts, and mentor a team to deliver impactful solutions in a fast-paced environment.,

As a Senior AI Engineer at our leading global credit rating and financial analytics organization, you will play a key role in leveraging cutting-edge AI and analytics to redefine how financial intelligence is powered and delivered. In this role, you will have the opportunity to work on state-of-the-art solutions and drive our AI capabilities into the future. You will be at the forefront of AI innovation in finance technology, with exposure to next-gen GenAI techniques. Collaborating with dynamic global teams spanning finance, technology, and client solutions, you will work in a hybrid setup in Pune or Mumbai, blending flexibility with the spirit of teamwork. Your responsibilities will include developing and deploying advanced AI solutions using the latest Generative AI techniques, such as Retrieval-Augmented Generation (RAG) pipelines, designing and building Agentic AI systems, and fine-tuning Foundation and Small Language Models (SLMs) tailored for domain-specific content generation. In addition, you will build scalable AI workflows, lead the end-to-end AI solution development lifecycle, and collaborate closely with cross-functional global teams to translate business challenges into AI-driven solutions. You will continuously evaluate emerging AI technologies and research to keep our AI toolkit state-of-the-art. To be successful in this role, you should have 4 to 7 years of experience in software engineering/development with a minimum of 2 years specializing in AI/ML roles. Deep hands-on expertise with GenAI technologies, strong programming skills in Python, and experience deploying AI/ML solutions on cloud platforms are essential. Exposure to NLP, knowledge graphs, ML ops, or similar related areas is a big plus, along with decent communication skills and a self-driven, proactive mindset. You should hold a Bachelors or Masters degree from premier Indian institutes in Computer Science, Any Engineering discipline, Mathematics, or related quantitative fields. Benefits of this role include a hybrid work model, continuous learning budget, and opportunities to work on industry-leading AI research. If you are eager to push boundaries of AI in financial analytics and thrive in a global, fast-paced environment, we encourage you to apply now and step into the Future of Financial technology with AI.,

As an Agentic AI Research Engineer at Pranathi Software Services Pvt. Ltd., you will be part of a leading software product development company that specializes in cutting-edge technologies like AI, Machine Learning, and advanced automation. Our focus is on building next-generation intelligent systems powered by Agentic AI, and we are seeking passionate individuals to join our AI R&D team in Hyderabad. To be successful in this role, you should have a postgraduate degree (M.Tech/M.E./Ph.D.) in Computer Science, AI, Machine Learning, or a related field. You should also have strong experience with LLM-based agents, multi-agent systems, or reinforcement learning. Proficiency in Python and deep learning libraries such as PyTorch, TensorFlow, or JAX is essential. Hands-on experience with frameworks like LangChain, OpenAI APIs, AutoGPT, or Hugging Face Transformers will be beneficial. Additionally, a solid understanding of prompt engineering, agent reasoning strategies, and knowledge graphs is required. This is a full-time position based in Hyderabad, India, with opportunities for on-site or hybrid work arrangements. If you are excited about working on innovative AI projects and meet the qualifications mentioned above, we encourage you to share your resume with us at giribabu@pranathiss.com.,

As a Prompt Engineer in the Artificial Intelligence/R&D department, you will play a vital role in building, optimizing, and testing natural language prompts to enhance the performance of large language models like OpenAI GPT, Claude, and Gemini. Your primary responsibilities will involve designing, writing, and optimizing natural language prompts to address specific business or product challenges. Working alongside data scientists, product managers, and engineering teams, you will contribute to the development of high-quality AI prompt systems for real-world applications. Your role will require you to analyze and test the impact of different prompts on model output quality, collaborating closely with product and development teams to create deployable prompt templates and interface logic. Additionally, you will be involved in establishing prompt libraries and prompt engineering frameworks to enhance prompt reusability and scalability. Staying updated on the latest prompt engineering technologies and research papers will be crucial, as you transform these insights into practical applications. To excel in this role, you must demonstrate proficiency in utilizing mainstream large-scale language models such as GPT-4, Claude, or Gemini. Strong language expression and logical thinking skills, along with expertise in prompt tuning, few-shot learning, and chain-of-thought prompt engineering methods, are essential. A bachelor's degree in a relevant field (computer science, linguistics, cognitive science) is required, with a preference for candidates with strong English reading abilities to understand model documents and research papers. Candidates with experience in actual Large Language Model (LLM) application projects, mastery of Python programming for rapid prototyping, and familiarity with dialogue systems, search engines, knowledge graphs, and RAG technologies will be given bonus points. Understanding model fine-tuning, LoRA, and system prompt structure, as well as familiarity with tool chains like LangChain, LlamaIndex, and OpenAI Function Calling, will be advantageous. In return, we offer a competitive salary and bonus system, the chance to work with cutting-edge AI technology, flexible working hours, and remote work options. Join our team of technology enthusiasts and innovators to embark on a rewarding career journey.,

We're Hiring: MLOps Engineer | Cairo, Egypt | Immediate Joiners Only Share CVs to vijay.s@xebia.com Location: Cairo, Egypt Experience: 6-8 Years Mode: Onsite Joining: Immediate or Max 2 Weeks Notice Relocation: Open to relocating to Egypt ASAP Job Summary: Xebia is seeking a seasoned MLOps Engineer to scale and operationalize ML solutions for our strategic client in Cairo. This is an onsite role , perfect for professionals who are ready to deploy cutting-edge ML pipelines in real-world enterprise environments. Key Responsibilities: Design & manage end-to-end scalable, reliable ML pipelines Build CI/CD pipelines with Azure DevOps Deploy and track ML models using MLflow Work on large-scale data with Cloudera/Hadoop (Hive, Spark, HDFS) Support Knowledge Graphs , metadata enrichment, model lineage Collaborate with DS & engineering teams to ensure governance and auditability Implement model performance monitoring, drift detection, and data quality checks Support DevOps automation aligned with enterprise-grade compliance standards Required Skills: 6-8 years in MLOps / Machine Learning Engineering Hands-on with MLflow , Azure DevOps , Python Deep experience with Cloudera , Hadoop , Spark , Hive Exposure to Knowledge Graphs , containerization (Docker/Kubernetes) Familiar with TensorFlow , scikit-learn , or PyTorch Understanding of data security, access controls, audit logging Preferred: Azure Certifications (e.g., Azure Data Engineer / AI Engineer Associate ) Experience with Apache NiFi , Airflow , or similar tools Background in regulated sectors like BFSI, Healthcare, or Pharma Soft Skills: Strong problem-solving & analytical thinking Clear communication & stakeholder engagement Passion for automation & continuous improvement Additional Information: Only apply if: You can join within 2 weeks or are an immediate joiner You're open to relocating to Cairo, Egypt ASAP You hold a valid passport Visa-on-arrival/B1/Schengen holders from MEA region preferred To Apply: Send your updated CV to vijay.s@xebia.com along with: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (Cairo) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile Valid Passport No Be part of a global transformation journey make AI work at scale! #MLOps #Hiring #AzureDevOps #MLflow #CairoJobs #ImmediateJoiners #DataEngineering #Cloudera #Hadoop #XebiaCareers

As a Data Scientist specializing in Generative AI (GenAI), you will be joining our advanced analytics team where you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP, and collaborating with cross-functional teams to integrate AI models into business applications. Additionally, you will be managing tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. In this role, you will be driving research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices to contribute to the innovation of AI-driven business processes. Furthermore, you will collaborate with engineering teams to deploy GenAI solutions into production environments using technologies such as Docker, SQL, and versioning tools. The ideal candidate for this position must have a strong understanding of Agent Framework, RAG Framework, Chunking Strategies, LLMs, and other GenAI methodologies. Proficiency in cloud services such as AWS, Azure, and GCP is essential, along with experience in LangChain, Vector Databases, Token Management, Knowledge Graphs, Vision APIs, and Prompt Engineering. Additionally, familiarity with AI Algorithms, Deep Learning, Computer Vision, Hallucinations Control Methodology, and Responsible AI Methodology are considered good-to-have skills. Technical skills required for this role include proficiency in Python, Docker, SQL, and versioning tools like Git. Experience with at least one cloud platform (AWS, Azure, or GCP) is mandatory. Candidates applying for this position should meet the following eligibility criteria based on their experience level: - Consultant: 3+ years of relevant experience in Data Science - Assistant Manager: 4+ years of relevant experience in Data Science - Manager: 5+ years of relevant experience in Data Science Preferred candidates will have a strong background in Python programming, a track record of successful project delivery using LLMs or GenAI, and the ability to work effectively both independently and collaboratively in fast-paced environments.,

As a Product Owner at PitchBook, you will collaborate with key stakeholders and teams to deliver the department's product roadmap. Your role will involve aligning engineering activities with product objectives for new product capabilities, data, and scaling improvements, focusing on AI/ML data extraction, collection, and enrichment capabilities. Working within the Data Technology team, you will develop solutions to support and accelerate data operations processes, impacting core workflows of data capture, ingestion, and hygiene across private and public capital markets datasets. You will work on AI/ML Collections Data Extraction & Enrichment teams, closely integrated with Engineering and Product Management to ensure alignment with the Product Roadmap. Your responsibilities will include being a domain expert for your product area(s), defining backlog priorities, managing feature delivery according to the Product Roadmap, validating requirements, creating user stories and acceptance criteria, communicating with stakeholders, defining metrics for team performance, managing risks or blockers, and supporting AI/ML collections work. To be successful in this role, you should have a Bachelor's degree in Information Systems, Engineering, Data Science, Business Administration, or a related field, along with 3+ years of experience as a Product Manager or Product Owner within AI/ML or enterprise SaaS domains. You should have a proven track record of shipping high-impact data pipeline or data collection-related tools and services, familiarity with AI/ML workflows, experience collaborating with globally distributed teams, excellent communication skills, a bias for action, and attention to detail. Preferred qualifications include direct experience with applied AI/ML Engineering services, a background in fintech, experience with data quality measurements and ML model evaluation, exposure to cloud-based ML infrastructure and data pipeline orchestration tools, and certifications related to Agile Product Ownership / Product Management. This position offers a standard office setting with the use of a PC and phone throughout the day, collaboration with stakeholders in Seattle and New York, and limited corporate travel may be required. Morningstar's hybrid work environment allows for remote work and in-person collaboration, with benefits to enhance flexibility. Join us at PitchBook to engage meaningfully with global colleagues and contribute to our values and vision.,