306 Llms Jobs - Page 5

As a part of the global leader in Cloud, AI, and Digital technologies, you will be responsible for leveraging GenAI models and frameworks to enhance the efficiency and productivity of businesses worldwide. Your role will involve serving as the primary technical expert for GenAI technologies, focusing on developing, implementing, and optimizing advanced AI models and solutions to expand our GenAI footprint across clients. You will provide technical leadership, drive innovation, and ensure the successful integration of AI technologies into our IT services for clients. Your responsibilities will include defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. In addition, you will evaluate and integrate emerging GenAI technologies to enhance conversational AI capabilities, provide technical leadership, mentorship, and guidance to teams, troubleshoot and resolve complex platform integration and functionality issues. You will also be hands-on in independently building quick prototypes and demonstrating them to key decision-makers. To be successful in this role, you should have 10+ years of total IT experience with at least 3-4 years of hands-on experience with AI/GenAI technologies. Expertise in NLP, NLU, NLQ, and NLG technologies is essential, along with Core Python proficiency to build applications and engineer GenAI solutions at an enterprise scale. You must have delivered production-grade projects on agentic AI frameworks, as well as hands-on experience with agentic AI frameworks such as Autogen, Langraph, or Crew.AI. Experience with NLQ to SQL-based GenAI applications using core Python tools and frameworks, databases, data warehouses, and data lakes on cloud platforms is required. Deep knowledge of architecting product-scale GenAI applications on Microsoft Azure Cloud, AWS Cloud, or GCP cloud environments is a must. Strong programming skills in Python, Node.js, Java, or similar, API programming, familiarity with LLMs, prompt engineering, fine-tuning, and embeddings are desired. Excellent problem-solving skills, solution architecture capabilities, and client-facing communication skills are essential. The ability to translate business needs into technical solutions, manage multiple projects and priorities in a fast-paced environment, and work with cloud platforms is crucial. Moreover, expertise in building technical proposals with winning engineering architectures and technical articulation for CXO level audience, and experience in developing fast PoVs and blueprints on new and emerging GenAI models, tools, frameworks, and other stack will be advantageous for this role.,

Amity University Uttar Pradesh, Noida is inviting applications for the position of Consultant (Scientific Technical/Non-Medical) at the Amity Centre for Artificial Intelligence (ACAI). The position is for a duration of one year with a monthly compensation of Rs. 1 Lakh. The selected candidate will be working on the project titled "Personalized Recommender System for Virus Research and Diagnosis Laboratory Network: Advancing Diagnostic Decision-Making through Artificial Intelligence", sponsored by the Indian Council of Medical Research (ICMR). The ideal candidate for this position should have either a B.Tech./MTech/M.Sc. or Ph.D. with an engineering or science background. Experience in Deep Learning Models, LLMs, Transformers is preferred. Desirable qualifications include 2-3 years of research experience in artificial intelligence, particularly in Deep Learning and Transformers, as well as publications in peer-reviewed journals (SCI/Scopus indexed). Interested candidates who meet the above qualifications are requested to submit their detailed CV via email to ai@amity.edu with a cc to sushils@amity.edu within 15 days of this advertisement. Please mention "Application for Consultant (Scientific Technical/Non-Medical) - Amity Centre for Artificial Intelligence" in the subject line of the email. Please note that no TA/DA will be provided to candidates for attending the interview.,

Senior Data Scientist JD As a Senior Data Scientist working at TTEC Digital, you will work on a team with diverse clients and industries to create data-driven solutions, develop cutting edge algorithms and provide expert insights to increase our understanding of customer behavior and needs. You will help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market. This position requires in-depth understanding and use of statistical and data analysis tools. What youll be doing: Build new analytics solutions; as well as analyze pre-existing analytic solutions, provide suggestions on how to evolve, and improve their efficiency and effectiveness Build client facing presentations to review analytic results and ability to convey technical concepts around analytic solutions to non-technical audiences in compelling story ¢ Where required, work as independent contributor on projects, managing end-to-end deliverables ¢ Handle communications with internal & external stakeholders, scope client requirements, develop analytics frameworks/solutions and implement and deploy solutions What skillsets we are looking for: ¢ 4-6 years in analytics domain developing & deploying ML/AI solutions ¢ 1+ years working on NLP projects text mining, having used LLMs, worked on Hugging Face/Transformer models; worked on publicly available LLM APIs ¢ Proficient level of understanding in machine learning and deep learning methods ¢ Excellent programming skills in Python, Pandas, PySpark & SQL ¢ Excellent communication skills ability to describe findings to technical and non-technical audience ¢ Good knowledge of MS office suite of products (Excel and PowerPoint) ¢ Ability to create end-to-end PowerPoint presentations (outline, visualization, results, summary) that are client-ready ¢ Experience with at least one of the following: Azure, GCP, Databricks, AWS; GCP is preferred Who we are: TTEC Digital Consulting is a pioneer in customer experience, engagement and growth solutions. We utilize a holistic approach, applying solutions from both our Engage and Digital segments to help companies provide an amazing experience to their customers, inspire customer loyalty, and grow their business. We provide end-to-end advisory and execution services, giving leaders the confidence and tools to re-think how to compete with a combination of our logic, intellect and ability to make sense of the data with our creativity and experience. TTEC Digital Analytics India 12th Floor, SALARPURIA SATTVA KNOWLEDGE CITY, HITEC City, Hyderabad, Telangana 500081

NTT DATA is looking for a GCP Python Gen AI LLM RAG Vertex AI to join their team in Hyderabad, Telangana, India. As a potential candidate, you should have at least 4 years of Software Engineering experience or equivalent demonstrated through various means such as work experience, training, military experience, or education. It is essential to have a minimum of 2 years of experience working with GCP (Google Cloud Platform) or alternate public/hybrid cloud, delivering products with cloud services and cloud architectures at scale. In addition, you should have 2+ years of experience with Python and 3+ years of experience with GenAI, LLMs, RAG, vector databases, and conversational bots. Furthermore, 1+ years of experience with Playbooks and Vertex AI is required for this role. Exposure to ADK (hands-on) and Voice AI is a must. While not mandatory, having experience with LangChain and/or LangGraph is considered a plus. Additionally, 4+ years of Contact Center industry experience would be advantageous, including design, development, testing, integration with vendors, CRMs, and business applications. Proven knowledge in contact center subdomains such as IVR/IVA, NLU/NLP, Real-Time Omni-channel Agent experience, customer journey, and CX/AX experience optimization using AI/ML is beneficial. Moreover, familiarity with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services is a good-to-have skill set. Experience with Deep Domain Driven Design with cloud-native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s, or Serverless cloud technologies for at least 2 years is also an added advantage. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. Being a part of NTT DATA means being part of a diverse team of experts in over 50 countries, with a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is a leading provider of digital and AI infrastructure globally, and as part of the NTT Group, they invest significantly in R&D to help organizations and society move confidently and sustainably into the digital future. Visit their website for more information.,

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,

As an AI Generalist at Scouto, you will play a crucial role in redefining recruitment through the utilization of an autonomous AI recruiter. With a focus on seamless sourcing, outreach, video-screening, ranking, and scheduling of candidates, all achieved without human intervention, Scouto is on a mission to revolutionize the hiring process with instant, effortless, and truly AI-powered solutions. If you are passionate about operating at the forefront of AI, automation, product development, and growth, we are excited to hear from you. In this role, you will have the opportunity to wear multiple hats as a founding member of the team. Your responsibilities will include building and automating internal processes, ensuring customer satisfaction, providing valuable insights for product enhancement, and contributing to revenue generation. The dynamic and fast-paced environment at Scouto is ideal for individuals who thrive in ambiguity, embrace rapid experimentation, and are eager to leverage AI tools hands-on. Your primary focus areas will be divided as follows: - Operations & Automation (40%): Identify and automate repetitive workflows within support, sales, and internal operations using AI APIs, Zapier/Make, LangChain, or light scripting. Take ownership of the tools required to maintain the smooth operation of Scouto. - Customer Success & Support (20%): Manage onboarding processes and support tickets, collaborate with engineering teams to resolve issues, and ensure customers derive maximum value from the product. - Product Feedback & Growth (20%): Translate user feedback into actionable product enhancements, develop rapid prototypes for solutions, and establish a feedback loop with the product development team. - Sales & Upsell (20%): Participate in product demonstrations, address technical inquiries, identify opportunities for upselling, and introduce automation to enhance the sales process. We are seeking candidates who possess the following qualities: - Proficiency in AI technologies, including LLMs, prompt engineering, and no-code AI stacks. - Sales and growth-oriented mindset with the ability to articulate value propositions and understand revenue drivers. - Technical expertise in APIs, Zapier/Make, Retool, and familiarity with light scripting languages. - Customer-centric approach with strong problem-solving skills. - Entrepreneurial spirit with a proactive, self-directed attitude, and a passion for adapting to rapid changes. - Bonus points for prior experience in SaaS, AI startups, customer success, sales engineering, or product operations. Joining Scouto offers you the opportunity to: - Contribute to shaping the future of AI-driven recruitment as an integral part of the founding team. - Collaborate closely with the founder and core team, gaining extensive visibility and a broad scope of responsibilities. - Accelerate your career progression towards leadership roles in success, growth, or operations. - Enjoy competitive compensation, flexible work arrangements, and the autonomy to define your role. If you are eager to contribute to building, automating, and scaling at a rapid pace, we look forward to discussing how you can be a part of Scouto's innovative journey.,

Scouto is revolutionizing the recruitment industry by introducing an autonomous AI recruiter that can handle sourcing, outreach, video-screening, candidate ranking, and scheduling seamlessly, without requiring human intervention. With a robust AI foundation and significant market traction, we are dedicated to simplifying the hiring process by making it instant, effortless, and fully AI-driven. If you are thrilled by the convergence of AI, automation, product development, and business growth, we are eager to have you on board. As a foundational AI Generalist at Scouto, you will play a versatile role, taking on various responsibilities such as establishing and automating internal procedures, ensuring customer satisfaction, providing valuable insights for product enhancement, and contributing to revenue generation. The fast-paced and dynamic environment provides an exciting opportunity for individuals who thrive in uncertainty, enjoy rapid experimentation, and are hands-on with AI technologies. Your primary areas of focus will include: Operations & Automation (40%): Identify repetitive tasks within support, sales, and internal operations, and automate them using AI APIs, Zapier/Make, LangChain, or lightweight scripting. Take ownership of the tools that are essential for the smooth functioning of Scouto. Customer Success & Support (20%): Manage onboarding processes and handle support tickets, collaborate with the engineering team to troubleshoot issues, and ensure customers derive maximum value from our services. Product Feedback & Growth (20%): Translate user pain points into actionable product suggestions, create rapid prototypes for solutions, and maintain a feedback loop with the product development team. Sales & Upsell (20%): Participate in product demonstrations, address technical inquiries, identify opportunities for upselling, and introduce automation into the sales pipeline. We are seeking individuals who possess the following qualifications: - Proficiency in AI technologies, familiarity with LLMs, prompt engineering, and experience with no-code AI stacks. - Sales and growth-oriented mindset with the ability to pitch ideas and comprehend revenue-driving strategies. - Technical expertise in APIs, Zapier/Make, Retool, and a bonus for proficiency in light scripting. - Customer-centric approach with strong problem-solving skills. - Entrepreneurial spirit, self-motivated, and adaptable to fast-paced environments. - Extra points for previous experience in SaaS, AI startups, customer success, sales engineering, or product operations. Joining us means: - Contributing to shaping the future of AI-powered recruitment as an integral part of the founding team. - Working closely with the founder and core team, offering significant scope for growth and visibility. - Accelerating your career progression towards leadership roles in success, growth, or operations. - Competitive compensation, flexible work arrangements, and the autonomy to define your role. If you are excited about the prospect of driving innovation, streamlining processes, and expanding rapidly, we would love to connect with you. Let's start a conversation about your future at Scouto.,

As a skilled Data Scientist specializing in Generative AI, you will be responsible for designing, developing, and deploying state-of-the-art AI models to tackle real-world business challenges. Your role will involve working with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions. Your key responsibilities will include: - Designing, developing, and fine-tuning advanced Generative AI models such as LLMs, GANs, and Diffusion models. - Implementing and enhancing RAG and transformer-based architectures to enable contextual understanding and document intelligence. - Customizing and optimizing LLMs for specific domain applications. - Building, maintaining, and optimizing ML pipelines and infrastructure for model training, evaluation, and deployment. - Collaborating with engineering teams to integrate AI models into user-facing applications. - Staying updated with the latest trends and research in Generative AI, open-source frameworks, and tools. - Analyzing model outputs for quality and performance, ensuring adherence to ethical AI practices. To excel in this role, you should possess the following skills: - Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, and HuggingFace Transformers. - Deep understanding of GenAI architectures such as LLMs, RAG, GANs, and Autoencoders. - Experience in fine-tuning models using techniques like LoRA, PEFT, or equivalents. - Knowledge of vector databases like FAISS, Pinecone, and embedding generation methods. - Experience in handling datasets, preprocessing, and synthetic data generation. - Solid grasp of NLP concepts, prompt engineering, and safe AI practices. - Hands-on experience in API development, model deployment, and cloud platforms such as AWS, GCP, and Azure. By leveraging your expertise in Generative AI and staying abreast of industry advancements, you will play a crucial role in developing cutting-edge solutions to address complex business problems.,

As a founding AI Generalist at Scouto, you will play a pivotal role in redefining recruitment by leveraging an autonomous AI recruiter. Your responsibilities will encompass various aspects such as operations & automation, customer success & support, product feedback & growth, and sales & upsell. In the realm of Operations & Automation, you will be tasked with identifying repetitive workflows and automating them using AI APIs, Zapier/Make, LangChain, or light scripting. It will be your responsibility to ensure that the tools required to keep Scouto running smoothly are effectively managed. Handling Customer Success & Support will involve managing onboarding processes, addressing support tickets, troubleshooting with the engineering team, and guaranteeing that customers derive maximum value from the platform. Your role will also require you to provide valuable insights for product enhancement by converting user pain points into actionable ideas, prototyping solutions, and collaborating closely with the development team to refine the product. Additionally, you will be involved in Sales & Upsell activities which include participating in product demos, addressing technical queries, identifying upsell opportunities, and infusing automation into the sales pipeline to enhance efficiency. The ideal candidate for this position must possess the following qualities: - AINative Fluency: Demonstrates a deep understanding and proficiency in AI tools and LLMs, regularly prototypes automations using tools like Zapier/Make and light scripting. - Customer Empathy & Problem-Solving: Exhibits a knack for diagnosing customer issues and devising effective solutions across various aspects of the product and processes. - Growth & Sales Mindset: Comfortable with conducting demos, driving upgrades, and leveraging consultative sales strategies. - Product & Process Thinking: Capable of translating feedback into structured product insights, prototyping scalable workflows, and enhancing user experience through no/low-code solutions. - Extreme Ownership & Hustle: Takes on tasks with a founder mindset, proactively fills gaps, adapts quickly to changing circumstances, and thrives in ambiguous situations. - Communication Excellence: Possesses excellent written and verbal communication skills, able to simplify complex AI workflows for diverse audiences, and proficient in creating documentation, help articles, and product guides. Nice-to-have qualifications include prior experience in SaaS, AI startups, customer success, sales engineering, or product operations, as well as active engagement within AI communities. Joining Scouto presents the opportunity to shape the future of AI-driven hiring, work closely with the founder and core team, and accelerate your career growth into leadership roles. Additionally, competitive compensation, a flexible work environment, and the autonomy to define your role further add to the appeal of this position.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Citi, you will be expected to: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends and provide insights to enhance business decision-making capabilities in various areas. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and effectively communicate findings to business partners and senior leaders. - Continuously explore and evaluate new data sources, tools, and capabilities, focusing on cutting-edge AI technologies to improve processes and strategies. - Collaborate closely with internal and external business partners to build, implement, track, and enhance decision strategies. 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 about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as 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 such as Tableau or Power BI. - Other skills required include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. Education: - Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred. Working at Citi offers more than just a job - it means joining a global family of dedicated individuals where you can grow your career, contribute to your community, and make a real impact.,

As a visionary technical co-founder, you will combine engineering excellence with philosophical depth to embark on the journey of building something rare, intelligent, and deeply rooted. You will be driven by first-principle problem solving and AI that reasons instead of merely responding. Your role will involve leading the technical architecture of a foundational AI product while embodying the qualities of humility to listen and the conviction to build. Your core responsibilities will revolve around spearheading the design, development, and iteration of VIKAS AI's reasoning engine. This will include building and fine-tuning LLMs, integrating RAG pipelines, and designing multi-agent systems. You will architect systems that strike a balance between cultural depth, emotional nuance, and technical performance. Collaborating closely with the team, you will shape core product features such as culturally intelligent LLMs, an aesthetically curated image engine, and a short-form AI news video layer. Additionally, you will co-create the technical roadmap, hire the early team, and oversee the infrastructure. To excel in this role, strong experience in machine learning, NLP, and LLMs is essential. You should be proficient with Transformers, LangChain, HuggingFace, or similar frameworks and possess solid knowledge of Python, vector databases, and inference infrastructure. Experience with RAG (Retrieval-Augmented Generation) and agent-based architectures, as well as familiarity with embedding models, fine-tuning, and prompt engineering, will set you up for success. An added advantage would be an interest in Indic language modeling or symbolic reasoning, experience in building low-latency, high-context systems, and an eye for clean code, ethics, and culture. Beyond your technical skills, your philosophical outlook and values will play a crucial role in defining who you are as a builder-philosopher. Your commitment to cultural intelligence, ethical AI, and context-aware systems will be evident as you strive to bridge the gap in current AI capabilities. You will prioritize truth over hype, depth over speed, and alignment over noise, reflecting a holistic approach to your work. In return for your contributions, you will receive co-founder status with meaningful equity, the opportunity to be at the forefront of building a product with global potential and local essence, complete creative and architectural freedom to innovate from the ground up, and the guidance of a visionary founder who is relentless, clear, and deeply committed. This role offers you the chance to not just follow existing trends but to redefine the narrative by putting India on the map through innovative thinking and impactful solutions. If you are intrigued by this opportunity and resonate with the vision outlined, feel free to reach out by DM or email at vikasai150807@gmail.com. Let's engage in conversations that transcend mere features and delve into shaping promising futures.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

As a Technical Intern Solutions at our company, you will thrive at the intersection of creativity and code. This role is ideal for you if you are passionate about prototyping new ideas, experimenting with cutting-edge technology, and building immersive XR solutions. Your main responsibilities will include developing Proof of Concept (POC) solutions based on client needs and upcoming technologies. You will design and build rapid prototypes, create full-stack applications using React.js for the frontend and Node.js for the backend, and develop AR/VR experiences using Unity for platforms like Meta Quest and Apple Vision Pro. You will also be involved in quickly iterating on ideas to test feasibility and gather user feedback. In addition to POC development, you will collaborate with the delivery team to provide technical insights during development cycles and support the transition of POCs into scalable production-ready solutions when necessary. The mandatory technical skills required for this role include proficiency in React.js for frontend development, Node.js (Express preferred) for backend development, experience with REST APIs and real-time data integration, and hands-on experience in developing AR/VR content using Unity. Preferred skills that will be beneficial for this role include C++ or Blueprint scripting in Unreal Engine, familiarity with XR development for devices like Meta Quest and Apple Vision Pro, understanding of AI/ML concepts such as LLMs and computer vision using Python, 3D Web development using Babylon.js or Three.js, and experience with cloud/backend technologies like Firebase, AWS, or similar. We are looking for a proactive and fast learner who has a passion for new technologies, is comfortable navigating ambiguity, and can work with minimal documentation. You should be able to occasionally interact with clients or stakeholders to understand their needs and demonstrate ideas effectively. If you are ready to be part of a team that prototypes the future of immersive technology, apply now and join us in shaping what's next.,

As a Senior Automation Engineer at NiCE, you will be part of a dynamic team that embraces challenges and constantly pushes boundaries. With 5 to 8 years of experience, you will have the opportunity to showcase your skills in testing AI agents and chatbots, along with a strong background in working with the AWS platform. Additionally, experience in testing LLMs is preferred, coupled with a good understanding of Python programming. Joining NiCE means becoming part of a global company that is known for disrupting the market and setting the highest standards. You will work alongside the best professionals in a fast-paced, collaborative, and innovative environment. At NiCE, every day presents an opportunity for learning and growth, with endless internal career prospects across various roles, disciplines, domains, and locations. If you are passionate, innovative, and driven to exceed expectations, NiCE offers you the chance to ignite your career. At NiCE, we believe in fostering a flexible work environment through our NiCE-FLEX hybrid model. This model allows for a balance of 2 days working from the office and 3 days of remote work each week. Office days are dedicated to face-to-face meetings that encourage teamwork, collaboration, and the generation of innovative ideas in a vibrant and interactive setting. NiCE, a global leader with over 8,500 employees across 30+ countries, is known for its cutting-edge software products used by 25,000+ businesses worldwide. As a market leader in AI, cloud, and digital technologies, NiCE is committed to delivering exceptional customer experiences, combating financial crime, and ensuring public safety. Join NiCE and be part of an innovation powerhouse that is shaping the future of technology.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

You have a great opportunity as a Sr Product Owner focusing on Generative AI technologies such as LLMs and LIMs. Your role will involve collaborating with cross-functional teams in India including engineering, data science, QE, and analytics. Additionally, you will be working closely with the product and creative teams based in the US to ensure seamless coordination and innovation. As a Product Owner, you will be responsible for monitoring product adoption, collecting post-launch feedback, and utilizing these insights to drive future product enhancements. Your strategic acumen will be crucial in maintaining and prioritizing the product backlog in alignment with organizational goals. An integral part of your role will be updating internal stakeholders on the progress of product development, identifying challenges, and seizing opportunities. You will drive innovation and experimentation in product features, leveraging data-driven insights to make informed decisions. Furthermore, you will collaborate with the data science team to evaluate output quality and model performance regularly. Your comfort with working in an onshore/offshore model will be beneficial in this dynamic and impactful position.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

As a Senior Software Engineer at Wells Fargo, you will take the lead in driving complex technology initiatives that have a companywide impact. You will be instrumental in setting standards and best practices for engineering large-scale technology solutions across various technology disciplines. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. Your role will involve reviewing and analyzing complex technology solutions to address tactical and strategic business objectives within the enterprise technological environment. You will be making critical decisions in developing best practices for engineering solutions, leveraging industry standards and new technologies to guide and influence the technology team towards meeting deliverables and driving new initiatives. Collaboration and consultation with technical experts, senior technology team members, and external industry groups will be key to resolving technical challenges and achieving set goals. Moreover, you will lead projects, teams, or serve as a mentor to peers. The job requires a minimum of 5 years of Software Engineering experience or an equivalent combination of work experience, training, military service, or education. Desired qualifications for this role include strong Python programming skills, expertise in RPA tools like UI Path, proficiency in Workflow automation tools such as Power Platform, and a minimum of 2 years of hands-on experience in AI/ML and Gen AI. Additionally, experience in LLMs (Gemini, GPT, or Llama), prompt engineering, model fine-tuning, and AI/Gen AI certifications from premier institutions are preferred. Hands-on experience in ML ops tools like MLflow and CICD pipelines is also valued. In terms of job expectations, you will be involved in designing and developing AI-driven automation solutions, implementing AI automation to improve process automation, developing and maintaining automation, BOTS, and AI-based workflows, integrating AI automation with existing applications, API's and databases, and building and optimizing prompt engineering workflows. Furthermore, you will fine-tune and integrate pre-trained models for specific use cases and deploy models in production using robust ML ops practices. If you believe you are the ideal candidate for this role, we encourage you to apply before the job posting ends on 23rd July 2025. Wells Fargo is committed to providing equal opportunities, and we welcome applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. If you require any accommodations during the recruitment process due to a disability, please reach out to Disability Inclusion at Wells Fargo.,

Job Title: Machine Learning Engineer Generative AI / LLMs Experience: 5 to 8 Years Location: Pune / Bangalore (Hybrid) Employment Type: Full-Time / Permanent About Claidroid Technologies Pvt. Ltd.: Claidroid Technologies is a fast-growing IT consulting company delivering next-gen digital transformation services. We specialize in Enterprise Service Management (ESM), Identity & Access Management (IAM), Cloud & DevOps Consulting, and Digital Automation. With teams across India and the USA, we offer a collaborative work culture where innovation is encouraged and performance is recognized. Our clientele includes leading global enterprises across industries such as banking, healthcare, retail, and telecom. Key Responsibilities: Design and deploy scalable Machine Learning and Generative AI solutions. Work with LLMs (GPT-4, Gemini, Mistral) and develop RAG pipelines. Implement solutions using Langchain, LangGraph, and Prompt Engineering. Integrate Azure OpenAI and Azure AI Search for GenAI applications. Develop MLOps workflows using Azure ML, PromptFlow, or SageMaker. Collaborate with cross-functional teams to operationalize AI capabilities. Required Skills: Core ML: Python, scikit-learn, TensorFlow, PyTorch, XGBoost GenAI & NLP: GPT-4, Langchain, RAG, Prompt Engineering Cloud & MLOps: Azure OpenAI, Azure ML, Docker, FastAPI Data Tools: SQL, PostgreSQL, Pandas, NumPy, Matplotlib Good to Have: Experience with Azure Bot Framework, SharePoint indexing Exposure to domains like finance, healthcare, or HR tech Education: B.E. / B.Tech / M.Tech in Computer Science, Data Science, or related disciplines Preferred Certifications: Azure Data Scientist Associate, Azure AI Engineer Why Join Claidroid: Work on high-impact AI/GenAI initiatives Collaborate with global enterprise clients Fast-paced and innovation-oriented environment Application Details: Interested candidates should share their updated resume along with the following details: Total Experience Relevant Experience in Machine Learning and GenAI Current CTC Expected CTC

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices 23 Jul 2025 To request a medical accommodation during the application or interview process, visit . Wells Fargo maintains a drug free workplace. Please see our to learn more.

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal services Collaborate across teams to bring autonomy into complex workflows Mentor and guide teams on the future of agentic AI Why Join Us? Work on the latest in AI/ML and agentic systems Engage with large-scale clients and impactful projects Thrive in a culture of innovation, learning & development Location: Noida Sec-126 l 5 Days work from Office Apply now: nikita.gautam@innovationm.com

As a Senior Applied Scientist at our organization, you will play a crucial role in the development of cutting-edge generative AI solutions for Oracle Analytics. Your primary responsibilities will include innovating new methods for natural language interaction with structured data, building intelligent systems for comprehensive data analysis, creating advanced personalization techniques, and seamlessly integrating your solutions into industry-specific intelligent applications. Your expertise in machine learning, data science, and generative AI will be essential for this role, particularly in areas such as LLMs (fine-tuning, adaptation, personalization), agent frameworks, and tool orchestration. It is preferred that you have practical experience in machine learning techniques for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Successful candidates will have a proven track record of designing innovative solutions that push the boundaries of technology in alignment with business needs. This can be demonstrated through publications in prestigious conferences or journals and a history of impactful contributions to software products that operate at scale. If you are passionate about leveraging your expertise in machine learning and generative AI to drive advancements in intelligent applications, collaborate with a diverse team, and make a significant impact in the field, we encourage you to apply for this exciting opportunity.,

As our Founding Engineering Manager, you will play a crucial role in building and scaling the backend infrastructure for our core voice AI product. Your responsibilities will include making informed decisions on architecture, system design, infrastructure, and performance optimization. Additionally, you will lead and mentor a growing engineering team, ensuring that they are equipped with the necessary skills and guidance to succeed. One of your key tasks will be to own the technical roadmap and collaborate closely with the co-founders to align the technology strategy with the overall business objectives. While fulfilling these leadership responsibilities, you will also stay hands-on by writing clean and efficient code primarily in Go and Python. This hands-on approach will allow you to maintain a deep understanding of the product and technology stack. Furthermore, you will work in close coordination with AI specialists, product managers, and customer success teams to deliver a seamless and high-quality experience to our clients, particularly those in the high-stakes BFSI sector. Ensuring security, uptime, and compliance will be paramount in meeting the expectations of these clients. In terms of technology stack, you will be proficient in languages such as Go and Python, and have experience with infrastructures like AWS, Docker, Postgres, and Redis. Familiarity with AI technologies such as LLMs, NLU/NLP APIs, as well as CI/CD, logging, and monitoring tools will be essential for success in this role. To excel in this position, you should ideally possess 5-10 years of backend engineering experience and have a track record of scaling systems from 0 to 100+ users. Your passion for clean code, system design, and solving complex infrastructure challenges will set you apart. Previous experience in leading or mentoring development teams will be beneficial, as you will be expected to take ownership and drive results in a high-growth voice AI startup environment. If you have prior experience in developing AI/LLM/NLP or voice-based products, or have worked in fintech, BFSI, or startup environments, it would be considered a bonus. This additional expertise can further enhance your contributions to our team and the impact we aim to create in the market. In return, we offer competitive compensation along with equity opportunities, high levels of ownership and autonomy, and the unique status of being part of the founding team. This role presents you with a chance to be a key player in building something truly impactful and innovative within the voice AI space.,