819 Llms Jobs - Page 16

You should have a minimum of 4 years of experience for this role. Your key responsibilities will include proficiency in Python (preferred), along with a working knowledge of TypeScript/Node.js, Go, or Java. You should have hands-on experience in developing REST APIs, GraphQL endpoints, and/or gRPC-based services. It is expected that you are familiar with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Additionally, exposure to frameworks such as LangChain, LlamaIndex, or CrewAI is desirable. A basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone) is also required. Moreover, experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes) is essential for this role. Ideally, you should have backend or full-stack development experience, with a focus on working with Generative or Agentic AI solutions.,

As a Generative AI Lead, you will be responsible for spearheading the design, development, and implementation of cutting-edge GenAI solutions within enterprise-grade applications. Your role will encompass leveraging your expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system architecture, coupled with hands-on experience in MLOps, cloud technologies, and data engineering. Your primary responsibilities will include designing and deploying scalable and secure GenAI solutions utilizing LLMs such as GPT, Claude, LLaMA, or Mistral. You will lead the architecture of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch. Additionally, you will be involved in prompt engineering, evaluation frameworks, and collaborating with cross-functional teams to integrate GenAI into existing workflows and applications. Moreover, you will develop reusable GenAI modules for various functions like summarization, Q&A bots, and document chat, while leveraging cloud-native platforms such as AWS Bedrock, Azure OpenAI, and Vertex AI for deployment and optimization. You will ensure robust monitoring and observability across GenAI deployments and apply MLOps practices for CI/CD, model versioning, validation, and research into emerging GenAI trends. To be successful in this role, you must possess at least 8 years of overall AI/ML experience, with a focus of at least 3 years on LLMs/GenAI. Strong programming skills in Python and proficiency in cloud platforms like AWS, Azure, and GCP are essential. You should also have experience in designing and deploying RAG pipelines, summarization engines, and chat-based applications, along with familiarity with MLOps tools and evaluation metrics for GenAI systems. Preferred qualifications include experience with fine-tuning open-source LLMs, knowledge of multi-modal AI, familiarity with domain-specific LLMs, and a track record of published work or contributions in the GenAI field. In summary, as a Generative AI Lead, you will play a pivotal role in driving innovation and excellence in the development and deployment of advanced GenAI solutions, making a significant impact on enterprise applications and workflows.,

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle, offering a comprehensive cloud service that includes Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The OCI team is dedicated to delivering top-notch cloud products that cater to customers dealing with significant global challenges. The Network Monitoring (NM) Team within OCI plays a crucial role in ensuring the reliability and security of the cloud network. Customers rely on the NM Team to enhance availability, visibility, security, performance, capacity planning, root cause analysis, and failure prediction. The team focuses on developing cutting-edge cloud monitoring solutions that provide performance monitoring, AI-enabled root cause analysis, prediction, and capacity planning for Oracle's global cloud network infrastructure. As a Principal and Senior Member of Technical Staff (IC4/IC3) for the OCI Network Monitoring team, you will be responsible for leveraging your expertise to tackle complex problems in building cloud-native observability and analytics solutions at scale. The role involves developing distributed AI/ML systems capable of handling massive amounts of data, including metrics collection, data pipeline creation, and analytics generation using AI/ML for real-time and batch processing. If you are passionate about designing and delivering AI/ML-based observability services and thrive in a fast-paced environment, the NM team is the ideal place for you. **Responsibilities:** - Design and develop cloud-native observability and analytics solutions at scale - Build complex distributed AI/ML systems for real-time and batch processing - Collaborate with the team to provide performance monitoring, root cause analysis, and capacity planning - Contribute to the development of AI/ML applications using ML models - Utilize Java, Python, C++, and Object-Oriented programming for solution development - Enhance networking protocol knowledge in areas such as TCP/IP, Ethernet, BGP, and OSPF - Communicate effectively with team members and stakeholders - Apply cloud computing and networking technologies to monitoring services - Implement service-oriented systems and frameworks - Utilize tools like Jira, Confluence, and BitBucket for development processes - Embrace Scrum and Agile Methodologies for project execution **Qualifications:** - BS/MS or Equivalent in Computer Science or related field - 4+ years of software development experience - 1-2 years of experience in developing AI/ML applications using ML models - Proficiency in Java, Python, C++, and Object-Oriented programming - Knowledge of networking protocols such as TCP/IP, Ethernet, BGP, and OSPF is advantageous - Strong organizational, verbal, and written communication skills - Familiarity with cloud computing and networking technologies, including monitoring services - Experience with LLM frameworks like Langchain and LlamaIndex - Exposure to LLMs such as GPT-4, Llama 3.1, and Cohere Command - Proficiency in tools like Jira, Confluence, BitBucket is a plus - Understanding of Scrum and Agile Methodologies This role is at the IC3 career level and offers the opportunity to work in a dynamic environment that encourages innovation and collaboration. Oracle is committed to fostering an inclusive workforce that provides equal opportunities for all individuals. Employees can expect competitive benefits, flexible medical, life insurance, and retirement options, and support for community engagement through volunteer programs. Oracle is dedicated to accommodating individuals with disabilities throughout the employment process. If you require accessibility assistance or accommodation, please contact accommodation-request_mb@oracle.com or call +1 888 404 2494 in the United States.,

As a Manager at PricewaterhouseCoopers (PwC), you will work as part of a team of problem solvers, assisting in solving complex business issues from strategy to execution. Your responsibilities at this management level will include, but are not limited to: - Developing new skills outside of your comfort zone. - Taking action to resolve issues that hinder the team's effectiveness. - Coaching others, identifying their strengths, and encouraging them to take ownership of their personal development. - Analyzing complex ideas or proposals and creating a range of meaningful recommendations. - Using multiple sources of information, including broader stakeholder views, to develop solutions and recommendations. - Addressing sub-standard work or work that does not meet the firm's/client's expectations. - Utilizing data and insights to inform conclusions and support decision-making. - Developing a point of view on key global trends and their impact on clients. - Managing diverse viewpoints to build consensus and create positive outcomes for all parties. - Simplifying complex messages, highlighting and summarizing key points. - Upholding the firm's code of ethics and business conduct. The preferred fields of study/experience for this role include: - Master's degree from a reputed institute in Data Science, Data Analytics, Finance, Accounting, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Mathematics. - A total of 7-10 years of work experience in analytics consulting and/or transaction services with top consulting organizations. Our team at PwC is seeking individuals with knowledge and a proven track record of success in one or both of the following areas: Business: - Experience in leading high-performing teams, preferably in data analytics, consulting, and/or private equity. - Working experience with business frameworks to analyze markets, assess company position and performance. - Utilizing alternative data and market data sets to derive insights on competitive positioning and company performance. - Deep understanding of financial statements, business cycles, business diligence, financial modeling, valuation, etc. - Leading projects in a dynamic, collaborative environment under time-sensitive client deadlines. - Strong communication and presentation skills. - Understanding of mergers, integrations, spin-offs, and/or divestiture transactions. - Assisting clients with strategic planning, business reviews, growth, market entry, international expansion, and market opportunity sizing. Technical: - Collaborative and innovative approach to apply tools and techniques to address client questions. - Ability to synthesize insights and recommendations into a concise presentation for clients. - Proficiency in tools such as Alteryx, Python, Advanced Excel, PowerBI, including visualization and DAX. - Experience working with GenAI/large language models (LLMs) is beneficial. - Knowledge in big data and machine learning concepts. - Leveraging data and business intelligence software to transform data into insights. - Experience with relational databases/data models. Value Creation Elements: - Developing comprehensive value creation plans for private equity portfolio companies. - Leveraging strategic, operational, organizational, and technology experience to provide actionable advice. - Experience in pre-acquisition operations due diligence, product & technology due diligence, post-acquisition growth strategy, operations strategy, technology strategy, business transformation, and M&A operations. - Collecting and utilizing relevant business and industry trend information, analyzing this information effectively through numerical and strategic analysis techniques.,

We are currently seeking highly motivated and passionate Machine Learning Engineers to become part of our team at Inavan India Technologies Pvt Ltd. As a Machine Learning Engineer, you will be involved in various cutting-edge projects spanning across different domains of machine learning. Ideal candidates for this role should have practical experience in at least one or more of the following specialized areas: Generative AI: Demonstrated expertise in developing models capable of generating new content, including text, images, or other media forms. Deep Learning: Proficiency in utilizing neural networks and advanced algorithms for pattern recognition and sophisticated data processing. Computer Vision: Knowledgeable in the application of machine learning techniques for image and video analysis. Predictive Analysis: Skilled in creating models that can forecast outcomes based on historical data. Chatbot Development: Proven track record in constructing and deploying conversational AI systems. Key Skills required for this role include familiarity with LLMs such as OpenAI and Local LLMs like LlaMA, as well as AI agents. Additionally, knowledge of prompt engineering, RAG, LangChain, and Ollama for LLM applications is highly desirable. Candidates should also possess proficiency in SQL AI agents and database-driven model interactions, along with the ability to work with popular machine learning frameworks and tools such as TensorFlow and PyTorch. Strong programming skills in Python, as well as other relevant languages, are essential. Additional Skills that would be advantageous for this position include knowledge of Deep Learning models for specialized AI tasks, familiarity with cloud deployment of AI/ML models, and experience in Natural Language Processing (NLP) and sentiment analysis. Applicants must be willing to work in a collaborative on-site environment at our Kochi office. This is a Full-Time position located in Kochi, Kerala.,

As an AI Engineer at Cyber Infrastructure (CIS) in Indore (WFO), you will utilize your expertise in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Computer Vision to design, develop, and deploy advanced AI solutions that tackle complex business challenges and seamlessly integrate into production systems. You are expected to be proficient in frameworks such as TensorFlow, PyTorch, and Keras, with a strong skill set in NLP, LLMs, and Computer Vision. Your responsibilities will include designing, developing, and implementing AI/ML algorithms and models to address real-world business problems, collaborating with cross-functional teams to integrate AI solutions into existing systems, and staying updated with advancements in AI, ML, and Deep Learning technologies. Additionally, you will be tasked with developing data pipelines and preprocessing workflows, monitoring and improving AI model performance and scalability, conducting experiments to enhance AI system capabilities, and deploying AI models in production environments. Key Responsibilities: - Design, develop, and implement AI/ML algorithms and models to solve real-world business problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems and applications. - Research and stay up-to-date with advancements in AI, ML, and Deep Learning technologies. - Develop data pipelines and preprocessing workflows for training and deployment. - Monitor, evaluate, and improve AI model performance and scalability. - Conduct experiments to validate hypotheses and enhance AI system capabilities. - Deploy AI models in production environments with data scientists, engineers, and product managers. - Create and maintain detailed technical documentation for AI models and processes. Minimum Requirements: - Strong experience with ML/DL frameworks (TensorFlow, PyTorch, or Keras). - Proficiency in Python (mandatory) and familiarity with R or Java. - Hands-on experience in Deep Learning, NLP, Computer Vision, or Reinforcement Learning. - Strong understanding of data structures, algorithms, and statistics. - Experience with cloud platforms (AWS, GCP, Azure) for AI model deployment. - Knowledge of MLOps tools and practices for deployment and monitoring. - Ability to work with large datasets and build scalable AI solutions. - Excellent problem-solving, critical-thinking, and communication skills. Preferred Skills: - Experience with Generative AI models and Large Language Models (LLMs). - Familiarity with server-side deployment and optimizing AI pipelines. - Innovative mindset with a passion for continuous learning. This role requires a Bachelor's degree/Masters (or equivalent) in computer science, mathematics, or a related field, and a minimum of 3-7 years of relevant experience. If you are passionate about AI technologies and possess the required skills, we encourage you to apply.,

As a S&C GN AI - Insurance AI Generalist Consultant at Accenture, you will play a key role in driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. You will have the opportunity to work with Accenture's Global Network, a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. This role will involve architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including GenAI, to solve client problems. You will also be responsible for developing functional aspects of Generative AI pipelines and interfacing with clients to understand engineering and business problems. The ideal candidate for this role will have at least 5 years of experience in data-driven techniques, including exploratory data analysis, data pre-processing, machine learning, and visualization. A Bachelor's or Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field is required. Strong analytical, problem-solving, and communication skills are essential, along with proficiency in programming languages such as Python, PySpark, SQL, and Scala. Experience in implementing AI solutions for the Insurance industry and production-grade integration of AI/ML pipelines is preferred. Additionally, familiarity with Azure, AWS, or Databricks tools, as well as GenAI, LLMs, RAG architecture, and Lang chain frameworks, would be beneficial. Strong communication, collaboration, and presentation skills are necessary to effectively convey complex data insights and recommendations to clients and stakeholders. Joining Accenture offers you the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. If you thrive in a fast-paced, dynamic environment and are passionate about leveraging Generative AI to drive business success, this role is perfect for you.,

You are a highly skilled Backend Developer with specialization in Python and REST APIs for Gen AI projects in Azure (preferred), AWS environments. You are proficient in Python, REST APIs, and either FAST Framework (Preferred) or Django Framework in a DevOps environment. You have 8+ years of overall experience, including at least 4+ years of hands-on work experience in Python development. You possess strong experience in design patterns, standard OOPs concepts, database and API design, and some knowledge on AI tools and technologies. Additionally, you have a minimum of 2+ years of SQL experience. Your experience includes working in DevOps, with hands-on experience in one or more cloud service providers such as Azure (preferred), AWS, or GCP. You hold a BE / B. Tech degree in Computer Science, Maths, or related technical fields. As a Backend Developer, you have proven experience in Python development, a strong understanding of REST APIs and their implementation, and experience with Generative AI projects in Azure (preferred) and AWS. You are proficient in the FAST framework (preferred) or Django framework, have experience with version control systems like GitHub, and CI/CD tools. You have expertise in developing conversational AI solutions and working with LLMs. Your knowledge extends to DevOps on API build and deployment. You are responsible for conducting testing and optimization for continuous improvement and scalability. Your role involves developing and maintaining REST APIs that integrate with applications and third-party systems. Your key strengths include excellent problem-solving skills, attention to detail, and the ability to work effectively in a team environment.,

As a Data Scientist at the Global Design Technology Studio within Gensler, you will play a crucial role in driving innovative solutions that connect data and outcomes from designs to practitioners, projects, and clients. You will be part of a dynamic team that fosters creativity and collaboration to identify trends, insights, and opportunities for improvement through the analysis, synthesis, and assessment of large datasets. Your responsibilities will include collaborating with the Data team to develop, train, and deploy ML classification algorithms using data from design authoring tools, exploring trends and defining insights aligned with business needs, developing data pipelines in MS Azure, researching and implementing the integration of additional datasets, and supporting the R&D of future Strategic Insights initiatives. To excel in this role, you are required to have a Bachelor's or Masters degree in Data Science, Statistics, Applied Math, or Computer Science, along with practical experience in statistical analysis, machine learning, and predictive modeling. Proficiency in Azure services like Azure Machine Learning, Azure Databricks, and Azure Data Factory, as well as programming languages such as SQL, Python, and R, is essential. Experience with data visualization tools like PowerBI, machine learning technologies, and generative AI models is highly beneficial. Gensler is a people-first organization that values work-life balance and professional development. As part of the team, you will have access to comprehensive benefits, wellness programs, and opportunities for growth and development. Join us in transforming the digital landscape of design technology and making a real impact with your skills and expertise.,

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

You are required to have over 13 years of experience in IT, with at least 6 years of experience in roles such as Technical Product Manager, Technical Program Manager, or Delivery Lead. Your responsibilities will involve overseeing the end-to-end delivery of data platform, AI, BI, and analytics projects to ensure they align with business objectives and stakeholder expectations. You will be responsible for developing and maintaining project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables. Leading cross-functional teams, including data engineers, data scientists, BI analysts, architects, and business stakeholders, will be part of your role to deliver high-quality and scalable solutions within the set budget and timeframe. You will define, prioritize, and manage product and project backlogs focusing on data pipelines, data quality, governance, AI services, and BI dashboards. Collaboration with business units to gather requirements and translate them into actionable user stories and acceptance criteria will be essential. Your responsibilities will extend to overseeing BI and analytics areas, ensuring data quality, lineage, security, and compliance requirements are incorporated throughout the project lifecycle. Coordinating UAT, performance testing, and user training, as well as acting as the primary point of contact for project stakeholders, will be crucial. Additionally, you will facilitate agile ceremonies, drive post-deployment monitoring, and optimize data and BI solutions to meet evolving business needs and performance standards. Primary Skills: - 13+ years of IT experience with 6+ years in relevant roles - Hands-on experience in data engineering, data pipelines, ETL processes, and data integration workflows - Proven track record managing data engineering, analytics, or AI/ML projects end to end - Strong understanding of modern data architecture and cloud platforms (Azure, AWS, GCP) - Proficiency in Agile methodologies, sprint planning, and backlog grooming - Excellent communication and stakeholder management skills Secondary Skills: - Background in computer science, engineering, data science, or analytics - Experience with data engineering tools and services in AWS, Azure & GCP - Understanding of BI, Analytics, LLMs, RAG, prompt engineering, or agent-based AI systems - Experience leading cross-functional teams in matrixed environments - Certifications such as PMP, CSM, SAFe, or equivalent are a plus Role: Technical Project Manager (Data) Location: Trivandrum/Kochi Close Date: 08-08-2025,

You should have a minimum of 5 years of experience in AI/ML with at least 2+ years in NLP, LLMs, and Generative AI. Your expertise should include ML architecture design, end-to-end model development, and deployment in production systems. Proficiency in Python is essential, along with deep experience in ML libraries and frameworks like TensorFlow, PyTorch, Hugging Face, and LangChain. A sound knowledge of transformer models, embeddings, tokenization, and vector databases such as FAISS and Pinecone is required. Experience with cloud-native AI solutions on AWS, Azure, or GCP is preferred. Familiarity with MLOps, model versioning, containerization using Docker, and orchestration tools like Kubeflow and MLflow is a plus. Your responsibilities will include architecting and implementing end-to-end machine learning and Generative AI solutions for real-world applications. You will design, fine-tune, and deploy models using transformers, embeddings, tokenization, and LLMs for tasks like summarization, classification, question answering, and content generation. Developing and maintaining high-quality, production-grade ML code in Python using libraries such as TensorFlow, PyTorch, Hugging Face, and LangChain is crucial. Furthermore, you will be responsible for building and optimizing retrieval-augmented generation (RAG) pipelines by integrating LLMs with structured and unstructured data. Working with vector databases like FAISS and Pinecone to manage semantic search and context retrieval efficiently will be part of your role. Utilizing cloud-native AI services for model training, deployment, and scaling on platforms like AWS, GCP, and Azure is expected. Implementing MLOps best practices, including model versioning, containerization using Docker, orchestration with tools like Kubeflow and MLflow, and following CI/CD procedures are also key responsibilities. Strong problem-solving skills, architectural thinking, and the ability to lead complex AI initiatives, along with excellent communication, stakeholder management, and technical leadership capabilities, are essential for this role.,

Intelligence Node is a real-time retail intelligence platform that enables businesses to enhance product-level profitability and boost margins by leveraging data-driven competitive insights. The cutting-edge technology of Intelligence Node employs AI to analyze billions of data points across 1,900 retail categories in 34 global markets. The business model of Intelligence Node offers a comprehensive suite of solutions, including product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance. These solutions aid retailers and brands in making strategic and operational decisions. With a patented product matching engine and proprietary AI, Intelligence Node ensures 99% data accuracy and 10-second data refresh rates. Following its acquisition by Interpublic Group (IPG) in December 2024, Intelligence Node collaborates with IPG to provide a future-ready combined solution to companies navigating the complexities of the current commerce landscape. Together with IPG, Intelligence Node delivers comprehensive data, advanced analytics, and strategic expertise to help enterprise brands and retailers secure market share and drive sustainable growth. **Junior Data Scientist** As a Junior Data Scientist at Intelligence Node, you will collaborate closely with senior data scientists and business stakeholders to discover data-driven insights and opportunities in the retail sector. Your responsibilities will involve analyzing retail data sets using statistical techniques and machine learning algorithms, developing predictive models to support business decisions, and implementing data pipelines for processing and preparation. Additionally, you will support the creation of reports and dashboards to visualize and communicate data insights. Staying updated with the latest developments in data science and retail analytics is a key aspect of this role. **Required Skill Set** - Minimum of 2-3 years of experience in Data Science - Proficiency in Python and data science libraries such as NumPy, Pandas, and Scikit-learn - Strong understanding of statistical techniques and their applications in the retail sector **Senior Data Scientist** In the role of Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and work closely with key business stakeholders to develop advanced machine learning models and neural networks for solving complex problems in the retail and e-commerce domains. Your responsibilities will include experimenting with Large Language Models (LLMs), designing scalable data pipelines, mentoring junior data scientists, and deploying predictive models into production. **Required Skill Set** - 7-10 years of experience in Data Science - Proficiency in Python or C++ - Deep understanding of BERT, transformers, and advanced machine learning architectures - Expertise in computer vision techniques and applications such as visual transformers and OCR - Curiosity to explore LLMs and their applications - Extensive retail and e-commerce experience preferred - PhD in a related field preferred Interested candidates are encouraged to share their updated CVs at a.vernekar@intelligencenode.com along with their current remuneration details. Candidates from Mumbai are preferred for this role.,

The Compliance, Conduct, and Operational Risk (CCOR) Data Science function at J.P. Morgan is dedicated to developing innovative Analytical & Gen AI-based automation solutions to enhance risk management and compliance processes. By utilizing automation, analytics, and Large Language Models (LLMs), our team is transforming how we manage compliance conduct and operational risks across the organization. As an Associate in the CCOR Data Analytics team, you will have a significant role in developing solutions to improve compliance and risk management. Your main responsibilities will involve utilizing Python, Alteryx, Tableau & LLMs to create automated and analytical solutions that support compliance monitoring. Working with diverse datasets, you will contribute to enhancing our risk management processes and ensuring regulatory compliance. Key Responsibilities: - Design, deploy, and manage automation/analytical solutions using Python, Alteryx, Tableau & LLMs for compliance and risk management. - Create insightful dashboards to offer actionable insights for informed decision-making. - Develop solutions with Python and Alteryx to automate monitoring and testing activities within compliance teams. - Collaborate with cross-functional teams to identify requirements, develop solutions, and ensure successful deployment. - Demonstrate strong analytical and problem-solving skills to interpret complex data sets. - Effectively communicate technical concepts and provide training to technical and non-technical stakeholders for better utilization of analytical tools. - Establish documentation and guidelines to standardize processes and maintain consistency in solution management. - Keep abreast of industry trends and emerging technologies to incorporate innovative approaches into compliance and risk management strategies. - Conduct workshops and meetings to gather feedback and insights, ensuring solutions align with business needs and objectives. Required Qualifications, Capabilities, and Skills: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field from a top-tier university. - Minimum of 8 years of experience in developing automation and analytical solutions, with recent exposure to LLMs. - Proficiency in Python, Alteryx, Tableau, and LLMs. - Skilled in performance tuning of complex SQL sources. - Exposure to solutions leveraging Agent AI is a plus. - Ability to work independently and as part of a team in a fast-paced environment. - Excellent problem-solving skills and clear communication of ideas and results.,

23 Ventures specializes in building technology to assist startups and early-stage ideas in achieving product-market fit, scaling, and maintaining focus. We collaborate with startups and early-stage ideas to offer resources, practical advice, and expertise necessary for scaling. Our focus ranges from navigating product-market fit to utilizing fractional resources, ensuring agility and efficiency, empowering founders to concentrate on their vision while remaining adaptable. We are looking for a talented and motivated QA Engineer with proficiency in both manual and automation testing to join our dynamic team. As a QA Engineer, your primary responsibility will be to guarantee the quality of our software products through meticulous testing, encompassing both manual and automated techniques. You will also collaborate with the development team to create, execute, and sustain comprehensive test cases that ensure the reliability and stability of our applications. Key responsibilities include developing and executing test cases for both manual and automated testing, designing and implementing REST API test cases using Java or Python tools, writing automated tests using Selenium WebDriver, Java, Python, and other related frameworks, conducting manual testing of web applications across various browsers and platforms, identifying and reporting bugs/issues, integrating automated test cases with Jenkins for continuous integration and deployment, collaborating with the development team to seamlessly integrate testing into the development pipeline, and participating in sprint planning, reviews, and retrospectives. Qualifications: - Proficient to fluent in Java/Python for API development and scripting - Proficient in AWS services like Lambda, API Gateway, DynamoDB, S3, etc. - Understanding of distributed systems and REST API design - Experience in writing unit and integration tests - Experience working with LLMs like OpenAI or Gemini Preferred Skills: - Strong knowledge of REST API testing, using tools in Python or similar - Expertise in Selenium WebDriver with Python for automated testing - Solid understanding of the software development lifecycle and agile methodologies - Strong debugging and problem-solving skills - Good communication skills and ability to work collaboratively within a team Location: Hybrid (Remote with proximity to Pune for on-site) Other benefits include working on exciting projects in diverse domains such as Healthtech and AI, a flexible remote work environment, and the opportunity to collaborate with talented teams and grow professionally. Why 23 Ventures - Inclusive Culture: We value diversity and aim to create an inclusive environment for all employees. - Professional Growth: Opportunities for learning and development to aid in your career advancement. - Comprehensive Benefits: Competitive salary, health insurance, and more. - Work-Life Balance: Flexible working arrangements to help you balance your personal and professional life.,

We are searching for an experienced Senior ML/Back-End Engineer who possesses a solid foundation in cloud architecture, AI/ML systems, and large-scale distributed applications. Your role will involve collaborating with data scientists, engineers, and business stakeholders to create, deploy, and manage production-grade AI/ML solutions essential for mission-critical systems. As a Senior Engineer, you will oversee the end-to-end architecture, development, and optimization of ML-enabled platforms. Additionally, you will lead key initiatives, mentor team members, and promote best practices throughout the organization. Requirements: - Hold an MS or PhD in Computer Science or a related field - Possess 5 to 10 years of industry experience as a Back-End Engineer, ML Engineer, or Research Engineer - Demonstrate deep functional knowledge and hands-on experience with technologies such as AWS or GCP cloud services, RESTful Web Services, and Containerization (Docker, ECS, Kubernetes) - Familiarity with modern AI tools like LLMs, Embedding models, and vector databases - Experience with AI/ML Ops tools and platforms (e.g. AWS Bedrock, GCP Vertex AI, Databricks) - Understanding of basic Data Science concepts - Proficiency in architecting and implementing large-scale, highly integrated, distributed user-facing applications and tools - Experience with version control tools like Git - Ability to implement a resilient web architecture - Strong background in building web products from end to end, with a deep understanding of web principles and best practices - Experience in building AI applications or familiarity with Machine Learning and Deep Learning concepts - Knowledge or experience in time series analysis - Advanced Data Science skills, including familiarity with financial datasets and fine-tuning ML/DL models - Capable of working on a hybrid model, commuting 3 days a week to an office in Bangalore Job Responsibilities: - Collaborate with an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower other developers and non-technical colleagues - Estimate timelines, perform task breakdown, scoping, design, and implementation for mid-to-large scale products and complex multi-month deliverables - Lead key team initiatives by managing and improving the entire software development life cycle - Identify opportunities to enhance quality and efficiency from initial ideation to deployment - Communicate progress, share knowledge, and evangelize best practices across multiple groups - Conduct code reviews for peers, contributing to collaborative working models - Recommend approaches to solving complex problems using new technologies to achieve goals - Own, deploy, monitor, and operate large-scale production systems distributed globally - Lead and mentor junior engineers in building production-grade systems and applications that scale and perform - Serve as a technical liaison to business teams, translating business needs into technical solutions What we offer: At GlobalLogic, we prioritize a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and a high-trust organization. By joining our team, you will experience an inclusive culture, have opportunities for personal and professional growth, engage in impactful projects, achieve work-life balance, and be part of a high-trust global company committed to integrity and trust. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner renowned for collaborating with the world's largest companies to create innovative digital products and experiences. Since 2000, we have been driving the digital revolution by transforming businesses and industries through intelligent products, platforms, and services.,

As an Engineering Intern at AI-Powered HR Team, based in Pune (Hybrid), you will be part of a dynamic 23-month project focused on AI-HR. The project aims to develop intelligent tools to facilitate real-time decision-making, automate workflows, and engage with users through conversational interfaces. Join our innovative and agile team to contribute towards creating practical AI solutions for business applications. We are seeking engineering students (2nd, 3rd, or final year) who are enthusiastic about AI, large language models, chatbot frameworks, and automation. If you have a keen interest in building real-world AI applications, this opportunity is tailored for you. Your responsibilities will include building and experimenting with AI tools using APIs such as OpenAI and Bolna.ai, prototyping conversational bots, automation scripts, and interactive dashboards, integrating NLP and ML models into custom workflows, supporting backend development, API testing, and automation tasks, as well as documenting processes, testing outputs, and sharing technical insights. The preferred skills for this role include a working knowledge of Python or JavaScript, familiarity with OpenAI, LangChain, LLMs, and NLP, exposure to REST APIs, databases, and cloud (optional but preferred), a strong interest in developing smart assistants and digital tools, and a willingness to learn quickly and adapt to new challenges. By joining our team, you will gain direct experience working on a live AI project, receive mentorship in real-world AI integrations, obtain a Letter of Recommendation and Internship Certificate, and have the opportunity to transition to a full-time role based on your performance. If you are excited about this opportunity, please share your profile on [platform/email].,

As the Application Developer, you will be responsible for the development of applications with a keen focus on correctness, resilience, and quality. You will troubleshoot system problems and conduct thorough impact analysis of any changes across different applications within Business Intelligence. Taking ownership of the full software development lifecycle, you will lead discussions, design, develop, test, and deploy solutions. Additionally, you will create detailed technical specifications, test case documents, and regression testing results for all changes. Your role will involve designing and implementing data models to support various business needs, including analytics, reporting, and machine learning. Effective communication and collaboration with global teams will be essential. Providing expert advice and design inputs in the areas of Data Modelling, Data Warehousing, Data Marts, Data Governance, and Security will also be part of your responsibilities. **Mandatory Requirements:** - Bachelor's degree in computer science or a related field (graduate). - 5-8 years plus relevant industry experience. - Proficiency in Python, AI/ML, SQL, and/or any other scripting language. - Experience in developing and tuning LLMs or GenAI Models (GPT, LLaMA, Claude). - Strong proficiency in Python and libraries such as LangChain, HayStack, Transformers. - Good Experience in Machine Learning and training models using XGBoost, Neural Networks, Random Forests, Scikit-Learn, Pandas. - Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics. - Knowledge of Tableau/Visualization to integrate/deploy trained models to Analytics Suite. - Hands-on experience with at least 1 end-to-end implementation cycle of a data science project. - Strong knowledge of statistical analysis and modeling techniques. - Experience with Cloud Data Lake technologies such as Snowflake. **Desirable Requirements:** - AI&ML certification. - Working Knowledge of various analytics applications such as Informatica for ETL and Tableau including installation/upgrade. - Familiarity with Documentation and collaboration tools (Confluence, SharePoint, JIRA). - Comfortable working in Agile methodology and full SDLC process. - Excellent interpersonal, communication, and team building skills with the ability to explain complex topics clearly. - Self-motivated with a proactive approach. - Flexibility to work on multiple items, open-minded, and willing to contribute in an individual capacity. - Working knowledge of Gitlab CI/CD. This is a Full-time, Permanent position suitable for candidates with relevant experience and a keen interest in application development and data science. The work location is in person.,

The Spec Analytics Intmd Analyst role is a developing professional position where you deal with most problems independently and have the latitude to solve complex issues. By integrating in-depth specialty area knowledge with a solid understanding of industry standards and practices, you contribute to achieving the objectives of the sub function/job family. Your analytical thinking and knowledge of data analysis tools and methodologies are crucial, requiring attention to detail to make informed judgments and recommendations based on factual information. You will typically handle variable issues with potential broader business impact, applying professional judgment when interpreting data and results in a systematic and communicable manner. Developed communication and diplomacy skills are essential to exchange potentially complex/sensitive information and have a moderate but direct impact on the businesses" core activities. The quality and timeliness of service you provide will affect the effectiveness of your team and other closely related teams. Responsibilities: - Work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using various tools (e.g. SQL, Access) to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques - Specialize in marketing, risk, digital, and AML fields - Appropriately assess risk when making business decisions, ensuring compliance with applicable laws, rules, and regulations, safeguarding Citigroup, its clients, and assets Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field - Advanced process management skills, organized, and detail-oriented - Curiosity in learning and developing new skill sets, particularly in artificial intelligence - Positive outlook with a can-do mindset - Strong programming skills in Python and proficiency in relevant data science libraries like scikit-learn, TensorFlow, PyTorch, and Transformers - Experience with statistical modeling techniques, including regression, classification, and clustering - Experience building GenAI solutions using LLMs and vector databases - Experience with agentic AI frameworks such as Langchain, Langraph, MLOps - Experience with data visualization tools like Tableau or Power BI - Must-have skills: Strong logical reasoning capabilities, willingness to learn new skills, good communication and presentation skills Education: - Bachelors/University degree or equivalent experience This job description offers a high-level overview of the work performed, and additional job-related duties may be assigned as required.,

As an IPA Developer at our company in Hyderabad (Hybrid), you will be responsible for architecting automation solutions across various platforms such as UiPath, Power Automate, AA, Blue Prism, Pega, and Appian. Your role will involve assessing automation maturity, identifying gaps and opportunities, and recommending tools and platforms for RPA, AI, and orchestration. You will lead the design and implementation of intelligent automation using RPA, BPM, ML, NLP, and other technologies. Creating automation roadmaps for healthcare workflows, defining business cases, and prioritizing automation initiatives will also be part of your responsibilities. Moreover, you will apply architecture and governance principles to ensure scalable and secure AI solutions. Your leadership will be crucial in agentic automation, collaborating with product owners, engineers, and SMEs in agile environments. To excel in this role, you should have at least 15 years of experience in automation architecture and consulting, with hands-on expertise in RPA (UiPath, AA, Blue Prism), BPM, and AI tools. Proficiency in fit-gap analysis, platform selection, and ROI modeling is essential, along with a strong understanding of TOGAF/Zachman and integration patterns. Experience in AI integration, particularly in ML, NLP, LLMs, and document understanding, will be beneficial. Preferred qualifications include healthcare workflow experience, certification as an Architect in UiPath, AA, or Power Platform, and excellent communication and stakeholder management skills. Knowledge of HIPAA/HITECH, AI governance, LLM prompt engineering, healthcare transformation/consulting, and exposure to Process Intelligence, AI Ops, and Autonomous Agents are considered nice-to-have skills. This is a full-time position that requires in-person work at our Hyderabad office. If you are passionate about automation, AI, and healthcare workflows, and possess the necessary qualifications and skills, we encourage you to apply for this role.,

We are Brainlabs, the High-Performance media agency, on a mission to become the world&aposs biggest and best independent media agency. We plan and buy media that delivers profitable and sustained business impact. And whats our formula Superteams of Brainlabbers, fueled by data and enabled by technology. Brainlabs has always been a culture-first company. In fact, from the very beginnings of the agency a set of shared principles, philosophies and values was documented in The Brainlabs Handbook, helping us create our unique culture. As with everything here we always seek to adapt and improve so The Brainlabs Handbook has been fine-tuned to become The Brainlabs Culture Code. This Culture Code consists of 12 codes that talk to what it means to be a Brainlabber. Its a joint commitment to continuous development and creating a company that we can all be proud of, where Brainlabbers can turn up to do great work, make great friends and win together. You can read The Brainlabs Culture Code in full here. Classification: Full time Team: Data Science Practice Reporting to: Head of Data Services Location: Bengaluru (Hybrid model of working) Experience Range - 13-15 Years Of Experience. As a Director, Data Science youll execute data science initiatives, influence senior leadership and shape the data science roadmap for the organization. The ideal candidate will have extensive experience in statistical modeling, machine learning, Generative AI, MLOps, and cloud-based solutions, along with a track record of leading large-scale projects, mentoring high-performing teams, and deploying models into production. What you do: Strategy & Roadmap: Build and define Brainlabs global Data Science capability roadmap, focused on advanced media optimisation and marketing effectiveness Product Development: Work through all stages of product development: defining capability, crafting business solutions, gathering/structuring data, building ML/DL/AI models, and communicating business impact. Innovation: Research and bring innovations to develop next-generation solutions in marketing & media analytics, incorporating advancements like GPT, LLMs, Agentic AI and multimodal data pipelines Team Leadership: Grow and mentor a high-performing data science team, driving thought leadership, R&D culture, and global collaboration. Pre-sales Support: Estimate project efforts, creating detailed proposals, and developing Statements of Work (SOWs). respond to Requests for Proposals (RFPs) with innovative, tailored analytics solutions. Client/Stakeholder Communication: Engage with diverse stakeholders, including clients, team members, and management. Organizational Initiatives: Lead key organizational initiatives focused on enhancing operational efficiency, service quality, and employee engagement. Analysis: Ability to analyze data and prescribe model-based recommendations/actions for the end users. Process Management: Manage projects in an Agile environment. Who You Are Experienced: A visionary leader with 13-15 years in Data Science projects, 4+ years in Marketing Analytics Educated: Bachelors/Masters degree in relevant field (Math, Statistics, Analytics, Operational Research or related disciplines) Technically Skilled: Experience building ML/DL/NLP/AI models (Python, R, Scala). Experienced with frameworks like TensorFlow, PyTorch, YOLO as well as marketing specific models like Meridian, Robyn and PyMC LLM & AI Specialist: Deep understanding of Agentic AI frameworks (AutoGPT, BabyAGI, OpenAgents) and LLMs (GPT, Claude, Gemini, LLaMA) Cloud & MLOps Fluent: Familiar with MLOps, ML safety and building scalable architectures on AWS, GCP, Azure, or Nvidia stack How You Succeed Culture: You will live our culture code every day! Client Success: Client satisfaction targets being met (internal & external) Deliver Business Impact: Translate complex analytical challenges into actionable solutions that drive measurable outcomes and revenue growth. Lead & Influence: Effectively lead interdisciplinary teams, provide thought leadership, and collaborate with various stakeholders. Lead with Innovation: Stay ahead of trends in Agentic AI, AI safety, regulatory frameworks etc. ,to maintain a competitive edge. Quality: Ensure quality across the deliverables Process Adherence: Enforce compliance with standard operating procedures, best practices, and organizational guidelines. Business Growth: Identify opportunities to expand existing accounts and develop new business by understanding client needs, proposing value-driven solutions, and fostering long-term relationships. Brainlabs delivers high performance for our clients and ourselves. We do that through our high-performance culture. That means each and every one of us has very clear goals every year which are the focus for our own contribution, growth and coaching. Practice Efficiency Working effectively to manage your own time in accordance with client requirements Client Client satisfaction One client case study produced to show the impact of your work on growing client business Practice Growth Learning certification/hours met Actively contributing ideas and innovations to the wider practice Technology & QA Adoption target of 100% met 95% QA metric hit Process automation Live our Culture Code Give 5 meaningful pieces of feedback each month Receive 360 positive feedback on how you live our Culture Code Grow Knowledge Complete Brainlabs Data Science Advanced Certification Brainlabs Internal Mentor accreditation (Optional) What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. Show more Show less

We are searching for a Senior Software Engineer in AI who possesses more than 3 years of practical experience in Artificial Intelligence and Machine Learning and has a strong enthusiasm for innovation. This position is perfect for an individual who excels in a startup setting that is fast-paced, product-oriented, and filled with opportunities to create a meaningful difference. Your main responsibility will be to contribute to the development of intelligent, scalable, and production-ready AI systems, with a particular emphasis on Generative AI and Agentic AI technologies. Key Responsibilities: - Developing and implementing AI-powered applications and services, with a focus on Generative AI and Large Language Models (LLMs). - Designing and executing Agentic AI systems that consist of autonomous agents capable of planning and executing multi-step tasks. - Collaborating with various teams such as product, design, and engineering to seamlessly integrate AI capabilities into products. - Crafting clean, scalable code and establishing robust APIs and services to facilitate the deployment of AI models. - Taking charge of feature delivery from start to finish, including research, experimentation, deployment, and monitoring. - Keeping abreast of the latest AI frameworks, tools, and best practices and leveraging them in product development. - Contributing to a culture of high performance within the team and providing mentorship to junior team members when necessary. Required Skills: - A total of 6 years of software development experience, with at least 3 years dedicated to AI/ML engineering. - Proficiency in Python, along with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face). - Demonstrated expertise in working with LLMs (e.g., GPT, Claude, Mistral) and various Generative AI models (text, image, or audio). - Practical knowledge of Agentic AI frameworks such as LangChain, AutoGPT, and Semantic Kernel. - Experience in constructing and deploying ML models in production environments. - Familiarity with vector databases like Pinecone, Weaviate, FAISS, and prompt engineering concepts. - Comfortable operating in a startup-like atmosphere - self-driven, adaptable, and eager to take on responsibilities. - Sound understanding of API development, version control, and contemporary DevOps/MLOps procedures. This is a permanent position that requires in-person work.,

You are a dynamic and innovative AI Engineer at our technology company, leveraging cutting-edge cloud technologies and generative AI to create groundbreaking solutions across various industries. Your role involves collaborating closely with cross-functional teams to design, develop, and deploy innovative solutions that harness the power of AI and generative technologies. Your technical expertise, leadership skills, and passion for pushing boundaries will be instrumental in achieving our goals. As an AI Engineer, your responsibilities include leading the design, architecture, and development of Gen AI applications using cloud technologies. You will collaborate with product managers, software engineers, and end-users to define application requirements, user experiences, and technical specifications. Your role involves driving technical excellence, code quality, and best practices within the team, staying up-to-date with the latest advancements in Gen AI, cloud technologies, and software engineering trends, and ensuring seamless deployment, scaling, and operation of applications in cloud environments. You will actively participate in code reviews, lead performance optimization efforts, address technical challenges, and contribute to the creation of technical documentation. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 2+ years of experience in architecting and developing software applications, preferably chatbots, information retrieval, and enterprise search applications. Experience with extracting and organizing information from unstructured documents and structured datasets, working on information retrieval applications based on natural language queries, and knowledge or experience working with vector databases is required. Strong programming skills in languages such as Python, understanding of LLM's and prompt engineering, experience with deploying Gen AI applications on the cloud using CI/CD tools, excellent problem-solving skills, and the ability to think critically and analytically are essential. You should also possess strong communication and collaboration skills, with the ability to work effectively across cross-functional teams and manage multiple priorities in a fast-paced environment.,

Role: Senior AI/ML Engineer Function: Machine Learning / AI Engineering Industry: Fintech, SaaS, Artificial Intelligence About Company The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence. Position Overview You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance. Role & Responsibilities Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence. Translate product problems into scalable ML systems and GenAI workflows. Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations. Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning. Implement feedback loops that continuously learn from user actions and corrections. Optimize performance and latency of GenAI systems in high-throughput transactional environments. Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts. Lead, hire, mentor, and grow a team of ML and GenAI engineers. Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features. Evangelize responsible AI practices and an experimentation culture across the organization. Must have Criteria 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI. Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning. Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex. Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow. Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs. Expertise with OCR/NLP tools for semi-structured document extraction and parsing. Ability to work with unstructured, noisy financial data at scale. End-to-end ownership of ML systems from research through deployment and monitoring. Nice to Have Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr. Experience with chunking strategies, prompt templates, and hybrid search in RAG systems. Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting. Knowledge of graph-based ML or probabilistic models for complex transaction flows. Past experience building AI systems in an early-stage startup or as a founding team member. Fintech domain expertise. What We Offer Foundational role where you define how AI evolves at the company. High impact on real-world financial decisions requiring accuracy and auditability. Ownership of deep ML and cutting-edge GenAI problems. Product-first, collaborative culture that values high agency and technical depth. Show more Show less

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.,