1383 Generative Ai Jobs

Are you passionate about using cutting-edge AI and data science to solve complex business challenges Do you have a proven track record of leadership in leveraging advanced analytics to create scalable solutions If so, we are seeking an accomplished Lead Data Scientist to join our dynamic team and make a significant impact. In this role, you will have the opportunity to shape data-driven strategies, lead innovative AI initiatives, and mentor a team of high-performing data scientists. You will work at the intersection of innovation and business impact, spearheading AI/ML solutions to address intricate challenges and driving excellence in every project. Your key responsibilities will include: Leadership & Mentorship: - Lead, inspire, and mentor a team of data scientists to foster a culture of collaboration and continuous learning. - Provide technical guidance to ensure the delivery of high-quality, scalable solutions within deadlines. - Promote best practices, encourage knowledge sharing, and drive cross-functional collaboration. AI/ML Solution Development: - Architect and deploy enterprise-level AI solutions tailored to solve complex business problems. - Engineer and optimize Generative AI models, Large Language Models, and Transformer-based architectures for top-notch performance. - Utilize techniques like prompt engineering, transfer learning, and model optimization to deliver state-of-the-art AI solutions. Natural Language Processing (NLP): - Design advanced NLP solutions using tools such as Word2Vec, BERT, SpaCy, NLTK, CoreNLP, TextBlob, and GloVe. - Perform semantic analysis, sentiment analysis, text preprocessing, and tokenization for actionable business insights. Cloud & Deployment: - Build and deploy AI/ML solutions using frameworks like FastAPI or gRPC for seamless service delivery. - Utilize cloud platforms such as AWS, Azure, or Google Cloud Platform to design high-performance, scalable systems. - Deploy models using Docker containers on Kubernetes clusters for optimal scalability and reliability. Database Management: - Manage and optimize large-scale data processing using SQL and NoSQL databases to enhance system performance. Big Data & Analytics: - Utilize big data technologies like Hadoop, Spark, and Hive for analyzing massive datasets. - Apply statistical and experimental design techniques to uncover insights and drive decision-making. MLOps & CI/CD Pipelines: - Develop robust MLOps pipelines for streamlining model integration, testing, and deployment. - Ensure scalability, reliability, and efficiency of AI/ML models in production environments. Collaboration & Communication: - Partner with product managers, business analysts, and engineering teams to propose innovative solutions. - Translate complex technical insights into actionable recommendations for stakeholders. Key Qualifications: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field. - Experience: Minimum 2 years in a leadership role managing data science teams. - Technical Skills: Proficiency in Python, NLP tools, cloud platforms, big data tools, and database systems. - Domain Knowledge: Experience in Online Reputation Management or product-based industries is desirable. - Additional Skills: Strong project management skills and effective communication abilities. If you are ready to take on this challenging and rewarding role, we encourage you to explore this exciting opportunity with us.,

Softobiz is seeking a dynamic Technical Delivery Lead with a strong background in open-source technologies and a passion for constructing scalable, high-performing systems. This role requires hands-on technical leadership, project ownership, and the ability to collaborate closely with clients and internal teams to deliver cutting-edge digital solutions. The ideal candidate will possess expertise in cloud-native development, microservices architecture, and scalable solution design, along with exposure to emerging technologies such as Generative AI, IoT-based solutions, and modern DevOps practices. Responsibilities include leading the full-cycle delivery of enterprise software solutions using open-source technologies, collaborating with clients to comprehend business goals and translate them into effective technical solutions, managing and mentoring cross-functional teams (onshore/offshore), ensuring adherence to architecture, coding standards, DevOps pipelines, and security best practices, proactively identifying and managing risks, dependencies, and scope changes across projects, driving Agile methodologies (Scrum/Kanban), supporting pre-sales and solutioning efforts, and staying updated with trends in cloud, AI, IoT, and open-source ecosystems to propose innovative solutions. Qualifications required for this role include 10+ years of experience in software engineering and delivery leadership roles, strong technical expertise in open-source backend frameworks (Node.js, Java, etc.) and frontend libraries (React, Angular, Vue.js), proven experience in designing and delivering highly scalable, cloud-native solutions, hands-on exposure to AWS, Azure, or GCP, with knowledge of DevOps tools and CI/CD workflows, solid understanding of microservices architecture, API design, and system integrations, experience in Agile environments, with strong project and stakeholder management skills, and excellent communication and leadership abilities. Desirable qualifications include exposure to Generative AI development toolkits, experience in delivering IoT-based solutions or working with connected device platforms, familiarity with event-driven architecture, message queues (Kafka, RabbitMQ), and containerization (Docker/Kubernetes), and experience in mentoring engineering teams and driving architectural best practices. Join Softobiz to be part of a forward-looking organization where innovation, engineering excellence, continuous growth, global engagement, and a culture of trust and ownership are at the core. Benefits and growth opportunities include an ESOP Program, a flexible work environment, learning and development opportunities, performance bonuses, health and wellness benefits, and leadership access for career advancement.,

You are a Data Science Specialist with 4-5 years of experience in designing and implementing advanced analytical solutions. Your role involves collaborating with cross-functional teams to translate business problems into data science use cases. You will design, develop, and deploy data science models, including classification, regression, and survival analysis techniques. Your responsibilities also include building and productionizing data products that deliver measurable business impact, performing exploratory data analysis, feature engineering, model validation, and performance tuning. Additionally, you will apply statistical methods to uncover trends, anomalies, and actionable insights. As a Data Science Specialist, you must have a Bachelor's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Engineering, or a related discipline. A Master's degree or certifications in Data Science, Machine Learning, or Applied Statistics is a strong plus. You should have 4-5 years of hands-on experience in data science projects across different domains, with demonstrated expertise in end-to-end ML model development. Your skills should include statistical expertise, business problem-solving abilities, model development proficiency, programming skills in Python and SQL, data manipulation experience, effective communication skills, version control & collaboration familiarity, and a deployment mindset. It is essential to have experience with survival analysis or time-to-event modeling techniques, exposure to Natural Language Processing (NLP) methods, familiarity with Generative AI technologies, and experience with MLOps tools and cloud platforms. In summary, you will play a crucial role in leveraging data science and machine learning techniques to drive business insights and build data products that contribute to the organization's success.,

As a Senior Principal Data Engineer, you will be responsible for designing and implementing advanced data and AI solutions using AWS. Your expertise in AI/ML, Generative AI, and cloud-native architectures will be crucial in leading technical teams and driving innovation through emerging technologies. Your key responsibilities will include architecting and designing Generative AI solutions leveraging AWS services such as Bedrock, SageMaker, Kendra, S3, and PGVector. You will collaborate with engineering teams to ensure robust and scalable solutions throughout the software development lifecycle. Additionally, you will lead technical decision-making, conduct solution reviews, and ensure alignment with best practices and security policies. In this role, you will integrate emerging technologies and frameworks like LangChain into solution designs, deliver technical presentations and workshops, and mentor junior engineers. Your collaboration with data scientists and analysts will enable effective model development and deployment, while aligning data architecture with business objectives by coordinating with stakeholders and clients. To qualify for this position, you should have 12-15 years of experience in software development and architecture, with proven expertise in designing and delivering AI/ML and data-driven solutions. Deep understanding of AWS cloud services, strong programming skills in Python, and experience in building ETL/data pipelines are essential. Familiarity with Generative AI frameworks, knowledge of AI ethics, bias mitigation, and responsible AI principles are also required. Nice to have qualifications include experience working with large-scale enterprise data systems, exposure to cloud governance, architectural review boards, and certifications in AWS or AI/ML technologies. Stay current with industry trends in AI, machine learning, data engineering, and cloud technologies to excel in this role and contribute to a culture of continuous learning and innovation.,

As a Senior Data Scientist at ECU Mumbai, you will be responsible for developing and deploying data science models across functional areas to drive business impact. Your role will involve identifying ML use-cases, prioritising projects, and collaborating with various departments to create opportunities for machine learning and data science. You will lead data science projects from ideation to execution, working closely with business leaders and cross-functional teams to deliver scalable and impactful machine learning solutions. Your key responsibilities will include architecting machine learning solutions for business challenges, developing AI models using state-of-the-art techniques, and ensuring best practices in model creation. You will also be responsible for presenting data science insights and model results to senior stakeholders, deploying robust machine learning solutions in collaboration with data engineers, and setting up measurement frameworks to monitor and enhance model performance. Additionally, you will play a crucial role in guiding and mentoring junior data scientists and data analysts to foster a culture of continuous learning and development within the team. The ideal candidate for this role will have a degree in Computer Science, Engineering, or a related field with 3 to 7 years of experience in Machine Learning and Data Science. You should be proficient in Python and SQL, with hands-on experience in cloud technologies, particularly AWS. Additionally, you should have expertise in Data Science, Machine Learning, Deep Learning, and Generative AI, along with strong analytical and problem-solving abilities. Excellent communication and presentation skills are essential, as well as hands-on experience with cloud platforms, databases, and tools such as Spark and Scala. If you have a passion for leveraging data science and machine learning to drive business outcomes, and possess the technical skills and expertise required for this role, we invite you to apply and be a part of our dynamic team at ECU Mumbai.,

The responsibilities of this role include architecting, coding, debugging, and deploying applications across web, mobile, and AI-driven platforms. You will be responsible for shipping features that bring digital construction to life. Additionally, you will be involved in prototyping, implementing, and iterating on various smart tools such as AI copilots, data extraction engines, predictive models, bots, and recommendations that are utilized by on-site and off-site teams. As a mentor, you will lead by example, reviewing pull requests, brainstorming, pair-programming, and assisting fellow developers in their skill development. Problem-solving efficiently is crucial, as you will be required to tackle complex challenges in construction and manufacturing, developing proof-of-concepts using languages like Python, Node.js, React, and more. Collaboration is key in this role, as you will work closely with founders, designers, engineers, and individuals on the shop floor, translating ideas between different domains. Staying innovative is encouraged, with a focus on integrating new tools and technologies ranging from Autodesk to AWS and cutting-edge AI APIs like GPT. The ideal candidate for this position should have a proven track record of shipping web, mobile, and AI-powered applications using technologies such as React, Node.js, Python, Java, with a bonus for experience in ML or IoT integration. Strong engineering skills in data structures, algorithms, design patterns, scalable architecture, debugging, and system design are essential. Experience with RESTful APIs, database design (SQL/NoSQL), and cloud services (AWS, Azure, GCP) is highly desired. A passion for hacking prototypes, whether with code or AI playgrounds, is a valuable asset. Key skills required for this role include generative AI, AI/ML frameworks, TensorFlow, AWS, machine learning, PyTorch, React.js, Python, integration, Node.js, Java, IoT, SQL.,

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect, and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, TaskUs has a presence in twenty-three locations across twelve countries, including the Philippines, India, and the United States. It all began with one remarkably good idea to create a different breed of Business Processing Outsourcing (BPO)! TaskUs understands that achieving growth for partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world. What We Offer: At TaskUs, we prioritize our employees" well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. Job Description: Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Key Responsibilities: AI/ML Development & Research: - Design, develop, and deploy advanced machine learning and deep learning models for complex business problems - Implement and optimize Large Language Models (LLMs) and Generative AI solutions - Build agentic AI systems with autonomous decision-making capabilities - Conduct research on emerging AI technologies and their practical applications - Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development: - Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP - Develop full-stack applications integrating AI models with modern web technologies - Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) - Implement CI/CD pipelines for ML model deployment and monitoring - Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management: - Design and implement data pipelines for large-scale data processing - Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) - Optimize database performance for ML workloads and real-time applications - Implement data governance and quality assurance frameworks - Handle streaming data processing and real-time analytics Leadership & Collaboration: - Mentor junior data scientists and guide technical decision-making - Collaborate with cross-functional teams including product, engineering, and business stakeholders - Present findings and recommendations to technical and non-technical audiences - Lead proof-of-concept projects and innovation initiatives Required Qualifications: Education & Experience: - Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field - 5+ years of hands-on experience in data science and machine learning - 3+ years of experience with deep learning frameworks and neural networks - 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML: - Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms - Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers - Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering - Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation - Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure: - Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript - Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI - Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) - Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes - MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks - Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications: - Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) - Knowledge of LangChain, LlamaIndex, or similar LLM frameworks - Experience with model compression and edge deployment - Familiarity with distributed computing and parallel processing - Experience with computer vision and NLP applications - Knowledge of federated learning and privacy-preserving ML - Experience with quantum machine learning - Expertise in MLOps and production ML system design Key Competencies: Technical Excellence: - Strong mathematical foundation in statistics, linear algebra, and optimization - Ability to implement algorithms from research papers - Experience with model interpretability and explainable AI - Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation: - Strong analytical and critical thinking skills - Ability to translate business requirements into technical solutions - Creative approach to solving complex, ambiguous problems - Experience with rapid prototyping and experimentation Communication & Leadership: - Excellent written and verbal communication skills - Ability to explain complex technical concepts to diverse audiences - Strong project management and organizational skills - Experience mentoring and leading technical teams DEI: In TaskUs, we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL: [TaskUs Careers](https://www.taskus.com/careers/). TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community.,

As a Generative AI & Intelligent Automation Consulting Practitioner, you will lead the design and delivery of end-to-end GenAI and AI/ML powered automation solutions and advisory engagements. Your role will involve demonstrating thought leadership to advise clients on both AI and Process automation strategy, along with providing detailed use cases by leveraging established insights and industry-leading practices. Accenture Strategy and Consulting offer an exciting career opportunity for outcome-oriented problem solvers like you. In this role, you will be part of the Supply chain and operations practice, where you will help organizations reimagine and transform their processes for a positive impact on the business, society, and the planet. You will engage with clients in designing solutions that deliver real business value by leveraging cutting-edge Generative AI & Intelligent Automation technologies. Your responsibilities will include contributing to pre-sales activities, delivering presentations, and crafting GenAI & AI solutions. You will also be involved in formulating and deploying GenAI strategies for clients, creating thought leadership content, and developing tools and methodologies for the practical application of GenAI and process automation to address business problems. Staying updated with key technology and industry trends will be crucial in this role. To excel in this position, you are required to have a minimum of 3 years of proven track record as an AI automation consultant with experience in AI-based automation solutions like NLP, OCR, Document Understanding, and Chatbots. Strong analytical skills, problem-solving abilities, and excellent communication skills are essential for this role. You should also possess cross-cultural competence, strong team-management skills, and the ability to thrive in a dynamic environment. The role offers you an opportunity to work on transformative projects with key clients, co-create with industry experts, and shape innovative solutions leveraging emerging technologies. You will have access to personalized training modules to develop your skills and industry knowledge. Additionally, you will be part of a culture committed to accelerating equality for all and engaging in boundaryless collaboration across the organization. Accenture is a leading global professional services company that provides a broad range of services and solutions in strategy, consulting, digital, technology, and operations. As part of Accenture Strategy & Consulting, you will play a key role in shaping the future for clients by combining deep business insight with an understanding of how technology will impact industry and business models. Join us in driving innovation to improve the way the world works and lives.,

As a Senior Product Manager in Generative AI at Salesforce/Healthcare, you will play a crucial role in building and launching impactful GenAI-powered products from scratch. Your responsibilities will include driving end-to-end product ownership, from problem discovery and market research to roadmap definition, MVP execution, and go-to-market success. If you are passionate about AI innovation, dedicated to solving user problems, and have hands-on experience in the Salesforce ecosystems or Healthcare domain, we are looking for you. Your key responsibilities will include leading the ideation, strategy, and delivery of Generative AI products, features, and tools. You will own the full product lifecycle, from concept and architecture to experimentation, execution, and optimization. Defining clear product requirements, user stories, and success metrics aligned with business goals will be essential. Collaboration with AI/ML engineers, designers, stakeholders, sales, marketing, and customer success teams to craft effective go-to-market strategies will be a critical aspect of your role. To excel in this position, you should have 4 to 7+ years of product management experience, preferably in AI, SaaS, or Platform Products. Proven experience in shipping Generative AI products or solutions, as well as familiarity with LLM technologies such as GPT, Claude, custom LLMs, is highly desirable. A strong understanding of LLMs, prompt engineering, RAG, fine-tuning, and embeddings is required. Additionally, possessing excellent analytical, problem-solving, and decision-making skills, along with a strong GTM sense and a strategic thinker with a startup mindset, will be beneficial. Experience working in or building for the Salesforce ecosystem or Healthcare/HealthTech domain is highly preferred. You should stay updated on emerging GenAI trends, LLM technologies, and creatively apply them to solve real-world challenges. Ensuring compliance, data privacy, and ethical use of AI, especially for Healthcare/Salesforce-based use cases, will be a crucial part of your responsibilities. In this role, you will have the opportunity to integrate GenAI into Salesforce workflows, CRM automation, or patient management systems. A background in B2B SaaS or platform product strategy, understanding of compliance standards like HIPAA, GDPR, and prior experience in early-stage products or startups will be advantageous. Familiarity with tools like LangChain, Pinecone, Weaviate, etc., will be a bonus. Join us to build the next generation of AI-native enterprise products, own and shape product vision with full autonomy, and work with a high-caliber, cross-functional team of AI experts and product veterans. This is an opportunity to lead, grow, and scale innovative Gen AI products globally.,

At Concept Sparx, we assist businesses in harnessing the potential of AI through engaging and results-driven corporate training. We are currently seeking a freelance corporate trainer based in Mumbai who can provide hands-on Generative AI and productivity tool training to our clients. The ideal candidate should possess a minimum of 8 years of industry experience, demonstrating a track record of successful corporate training delivery. Proficiency in AI-powered tools such as ChatGPT, Copilot, Gemini, and their integration with Excel, Power BI, Google Sheets, PowerPoint, among others, is essential. Additionally, the candidate should be capable of simplifying AI concepts for non-technical professionals, ensuring that training sessions are not only informative but also actionable. A comprehensive understanding of AI fundamentals is crucial, including a conceptual grasp of how the technology operates. As a freelance corporate trainer with us, your responsibilities will include conducting interactive training sessions lasting from 4 hours to full-day sessions, based on mutually agreed schedules. Utilizing live demonstrations and real-world examples will be key in ensuring that the training is impactful and practical. Furthermore, adapting the delivery style to cater to various industries such as finance, real estate, manufacturing, and more will be expected. To apply for this role, please provide a brief recorded clip from a previous training session you have conducted. This will allow us to evaluate your delivery style and engagement approach effectively. Location: Mumbai (in-person only) Type: Part-time / Freelance If you meet the requirements mentioned above, our training team will reach out to you promptly to discuss further details. #CorporateTraining #GenAI #AI #Mumbai #LearningAndDevelopment #FreelanceOpportunity,

As a Senior Data Scientist specializing in Generative AI, you will be responsible for leading technical development and mentoring teams. You must have a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. preferred. Additionally, you should have 8-12 years of experience in a Data Scientist or equivalent role, including at least 4 years of specialized experience in Generative AI. Your primary tasks will include working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. It is crucial to stay up-to-date with the rapidly evolving GenAI landscape and continuously learn and explore new tools and techniques. To excel in this role, you must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation, including deploying, monitoring, and maintaining models in a live environment. Expert-level Python skills are mandatory, along with proficiency in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, Scikit-learn, XGBoost, and LightGBM. Preferred qualifications include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributing to research and publications in Generative AI. You should also have expertise in prompt engineering, fine-tuning LLMs, optimizing performance, and designing scalable API architectures for GenAI applications. The role of Senior Data Scientist at our organization requires a highly motivated individual with a strong passion for Generative AI and a proven ability to drive technical innovation and deliver impactful results within a team setting. This job description provides a high-level overview of the role, and other job-related duties may be assigned as required.,

About Us: At CLOUDSUFI, a Google Cloud Premier Partner, we are a Data Science and Product Engineering organization dedicated to building innovative products and solutions for the Technology and Enterprise industries. Our core belief is in the transformative power of data to drive business growth and facilitate better decision-making processes. With a unique blend of expertise in business processes and cutting-edge infrastructure, we collaborate with our clients to extract value from their data and optimize enterprise operations. Our Values: We are a team driven by passion and empathy, placing high importance on human values. Our mission is to enhance the quality of life for our employees, customers, partners, and the community at large. Equal Opportunity Statement: Role: Lead AI Engineer Location: Noida, Delhi/NCR (Hybrid) Experience: 5-10 years Role Overview: As a Senior Data Scientist / AI Engineer at CLOUDSUFI, you will play a pivotal role in our technical leadership team. Your primary responsibility will be to conceptualize, develop, and implement advanced AI and Machine Learning solutions, focusing on areas such as Generative AI and Large Language Models (LLMs). You will be tasked with designing and managing scalable AI microservices, leading research into cutting-edge techniques, and translating intricate business requirements into impactful products. This position demands a combination of profound technical proficiency, strategic thinking, and leadership qualities. Key Responsibilities: - Architect & Develop AI Solutions: Build and deploy robust and scalable machine learning models, emphasizing Natural Language Processing (NLP), Generative AI, and LLM-based Agents. - Build AI Infrastructure: Develop and manage AI-powered microservices utilizing frameworks like Python FastAPI to ensure optimal performance and reliability. - Lead AI Research & Innovation: Keep abreast of the latest AI/ML advancements, spearhead research endeavors to assess and implement state-of-the-art models and techniques for enhanced performance and cost efficiency. - Solve Business Problems: Collaborate with product and business teams to identify challenges and devise data-driven solutions that drive significant business value, such as constructing business rule engines or predictive classification systems. - End-to-End Project Ownership: Take charge of the complete lifecycle of AI projects from conceptualization, data processing, model development to deployment, monitoring, and continuous iteration on cloud platforms. - Team Leadership & Mentorship: Drive learning initiatives within the engineering team, provide guidance to junior data scientists and engineers, and establish best practices for AI development. - Cross-Functional Collaboration: Work closely with software engineers to seamlessly integrate AI models into production systems and contribute to the overall system architecture. Required Skills and Qualifications: - Master's (M.Tech.) or Bachelor's (B.Tech.) degree in Computer Science, Artificial Intelligence, Information Technology, or a related field. - 6+ years of professional experience in roles such as Data Scientist, AI Engineer, or similar. - Proficiency in Python and its core data science libraries (e.g., PyTorch, Huggingface Transformers, Pandas, Scikit-learn). - Hands-on experience in building and fine-tuning Large Language Models (LLMs) and implementing Generative AI solutions. - Expertise in developing and deploying scalable systems on cloud platforms, particularly AWS, with experience in GCS as a bonus. - Strong background in Natural Language Processing (NLP), including multilingual models and transcription. - Familiarity with containerization technologies, specifically Docker. - Solid understanding of software engineering principles and experience in building APIs and microservices. Preferred Qualifications: - Strong project portfolio with a track record of publications in reputable AI/ML conferences. - Experience in full-stack development (Node.js, Next.js) and various database technologies (SQL, MongoDB, Elasticsearch). - Knowledge of setting up and managing CI/CD pipelines (e.g., Jenkins). - Proven leadership skills in guiding technical teams and mentoring fellow engineers. - Experience in developing custom tools or packages for data science workflows.,

As a passionate and skilled Python, AI/ML Engineer with 3-5 years of experience, you will have the opportunity to work on cutting-edge projects at Zinnia, the leading technology platform for accelerating life and annuities growth. You will be involved in designing, developing, and deploying machine learning models and Generative AI solutions. Your role will include working on end-to-end ML pipelines, collaborating with cross-functional teams, building Python-based APIs for ML services, optimizing database interactions, and staying updated with the latest trends in AI/ML. To succeed in this role, you should have strong hands-on experience in Python, practical knowledge of supervised, unsupervised, and deep learning techniques, and experience working with LLMs or similar Generative AI technologies. Additionally, you should be familiar with RESTful APIs, SQL and NoSQL databases, and have exposure to cloud platforms like AWS, Azure, or Google Cloud Platform. Experience with TypeScript/JavaScript, MLOps tools, containerization, and orchestration would be a plus. If you thrive in a fast-paced environment, love solving complex problems using data and intelligent algorithms, and are looking to contribute to building intelligent solutions that deliver real business value, Zinnia is the place for you. Join us in our mission to simplify the experience of buying, selling, and administering insurance products and help more people protect their financial futures.,

You have over 10 years of experience with a continuous focus on data science throughout your career. You have successfully deployed at least two production-grade Generative AI solutions and have hands-on exposure to Agentic AI frameworks. Your expertise in Robotics includes Multiagent Systems, Automated Planning & Scheduling, Intelligence, and Orchestration. You are proficient in AI & ML, covering Supervised and Unsupervised Learning, Neural Networks, Large Language Models (LLMs), as well as Full-stack Software Engineering and System Design. You have a proven ability to apply emerging technologies to address complex business challenges. Your technical proficiency includes Python, FastAPI, Ollama, RDBMS (PostgreSQL), Message Brokers, UI Frameworks (Angular, Streamlit), Robot Operating System (ROS), AI/ML Python frameworks (scikit-learn, PyTorch, etc.), AWS, Azure, and Git. You are a recognized expert in machine learning, Generative AI, LLMs, SLMS, and Agents, with a strong emphasis on computer vision, deep learning, and statistical modeling. You have led innovative projects in video analytics, face recognition, and retail analytics utilizing tools such as OpenCV and Point Cloud Libraries. You have in-depth knowledge of robot kinematics, navigation, planning, multi-agent orchestration, neural networks, software engineering, architecture, OOP, and the Git ecosystem. You are experienced in techno-functional product and project management, contributing to key research and business decisions. You are skilled at interpreting research publications and staying updated with the latest technological advancements. You have a strong background in Computer Vision, AI, ML/DL, Generative AI, Large Language Models, and Agentic AI. You possess experience from product-based companies and an academic background from IIT. Mandatory Skills: Machine Learning. Experience: 8-10 Years. If you are inspired by reinvention and want to be part of building a modern Wipro, an end-to-end digital transformation partner with bold ambitions, then this is the place for you. We are looking for individuals who are constantly evolving, both in their careers and skills. At Wipro, we embrace change and empower our employees to design their own reinvention. Join us at Wipro and realize your ambitions. Applications from people with disabilities are explicitly welcome.,

As an Associate Manager Data Science within the Digital and Technology team, you will play a crucial role in modeling complex problems, uncovering insights, and streamlining workflows by utilizing statistical analysis, machine learning, generative AI, and data visualization techniques with cutting-edge big data & AI technologies. Your primary focus will involve collaborating with business partners to develop data science projects that drive advanced analytics and AI adoption to gain a competitive edge, enhance operational efficiency, and foster innovation. Your responsibilities will include executing end-to-end advanced data science projects aligned with business goals, mastering on-premise and cloud-based data warehousing and data lakes, staying abreast of the latest AI and ML technologies, constructing data pipelines for data ingestion, cleaning and imputing unclean data, conducting in-depth exploratory data analysis, engineering features relevant to data science problems, creating and assessing data models using various techniques, and presenting modeling results and recommendations to stakeholders in a clear and actionable manner. Moreover, you will collaborate closely with business stakeholders to identify challenges and opportunities, develop data-driven strategies, and implement solutions leveraging AI and machine learning technologies. It is essential to adhere to established standards, enhance documentation, share knowledge within teams, ensure data accuracy, consistency, and security, and effectively collaborate with team members. To qualify for this role, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or Applied Mathematics, along with at least 4 years of experience in data science. You should have a strong background in machine learning, statistical analysis, and predictive modeling, with practical expertise in programming languages like Python, R, or Scala. Proficiency in big data technologies, cloud-based solutions, and experience in developing scalable machine learning models for production environments are crucial. Additionally, familiarity with data engineering tools, cloud services platforms, containerization, CI/CD tools, and excellent communication skills are required for this position. As an integral part of a fast-paced and collaborative environment, you should demonstrate strong analytical skills, problem-solving abilities, and have a growth mindset to drive innovation. Your leadership behaviors should emphasize building outstanding teams, setting clear directions, simplification, collaboration, execution, accountability, fostering growth, embracing inclusivity, and maintaining an external focus to excel in this role.,

As an Applied AI Engineer at DevRev, your role is crucial in ensuring that customers derive optimal value from the DevRev platform. You will collaborate closely with the pre- and post-sales Customer Experience team to develop solutions over the core platform through applications written in TypeScript, JavaScript, Python, and more. Your creativity and expertise will be instrumental in shaping how AI, analytics, and workflows are integrated into customers" processes. Your primary objectives in this role will involve designing, developing, and implementing integrations, automations, and customizations to seamlessly integrate DevRev with customers" tech stack and workflows, thereby ensuring successful customer engagements. You will leverage AI in innovative ways to address customer challenges, including the application of Generative AI techniques such as prompt engineering for large language models (LLMs) to enhance the AI agent experience. Additionally, you will focus on fine-tuning semantic search engines for improved search accuracy, conducting data analysis, writing SQL queries, and creating dashboards to drive decision-making based on insights. Communication plays a key role in your responsibilities, as you will proactively engage with all key stakeholders, including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing, etc., to maintain constant feedback loops. Your ability to learn new tools and guide customers through critical workflows, such as integrating with code repositories, will be essential in delivering exceptional customer experiences. The ideal candidate for this role should possess a degree in software engineering or equivalent professional experience, with hands-on coding skills in TypeScript/JavaScript, Python, APIs, Webhooks, and SQL. Familiarity with Generative AI technologies like GPT-4, prompt engineering, and fine-tuning, as well as knowledge of vector databases and data embeddings, will be advantageous. Strong written and verbal communication skills in English, a result-oriented work style, a continuous learning mindset, and a passion for challenging work that demands high energy and performance are qualities that will contribute to your success in this role. At DevRev, our culture is founded on the principles of being hungry, humble, honest, and acting with heart. Our vision is centered on supporting the development of the world's most customer-centric companies, while our mission revolves around leveraging design, data engineering, and machine intelligence to empower engineers to better serve their customers. Join us at DevRev and be part of a team that is dedicated to driving innovation and helping companies thrive in the dynamic landscape of AI-driven SaaS.,

You will be joining our technology services client as a Sharepoint & Data Management Analyst on a contract basis with potential for conversion to full-time employment. Your primary responsibility will be to engineer efficient, scalable, stable, and secure web applications and backend services with a focus on APIs. Additionally, you will be developing scalable Generative AI systems for use across various projects and platforms. Staying updated with modern software engineering practices and collaborating with an international engineering and product team are key aspects of this role. To be considered for this position, you are not required to meet all the qualifications listed. However, we encourage you to apply if you can meet most of the requirements and are willing to engage in a dialogue for consideration. A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience is preferred. You should have at least 6 years of hands-on experience in roles involving front-end technologies like React JS, Next JS, backend technologies such as Java, .NET, hyperscalers like Google Cloud, Azure, AWS, and experience with Python. Experience with VCS tools like GIT, branching/merging, building CI/CD pipelines, security protocols such as oAuth, Microsoft Entra ID, SSO, Okta, Docker, Kubernetes, varied integration patterns, unit testing, integration testing, code reviews, load testing, troubleshooting, and performance optimization will be beneficial for this role. Clear communication, problem-solving skills, and the ability to work independently as well as in a team are essential qualities. Beneficial experience includes working with Generative AI software engineering solutions, reinforcement learning, natural language processing, cloud-based AI services, large data-driven services, and Generative AI solutions such as Azure AI Studio, AWS Bedrock, and Hugging Face. If this opportunity excites you, please share your updated resume with akhila.d@s3staff.com.,

You are an experienced Full Stack Web3 Developer with at least 5 years of hands-on experience in full-stack web3 development. You possess strong expertise in Web3 technologies such as smart contracts, wallets, tokens, etc. Additionally, you have solid backend experience with Python and are familiar with modern frontend frameworks like React, Next.js, etc. It is desirable that you have a basic understanding of Generative AI (LLMs and AI Agents) or a strong interest in learning about it. You have the ability to work independently and deliver high-quality, scalable solutions. If you are passionate about building in Web3 and exploring the future of AI-driven applications, we would be delighted to hear from you. This role is open to both full-time and contract-based candidates.,

As an experienced AI/ML scientist with over 7 years of hands-on experience in delivering enterprise-grade AI/ML solutions, your primary responsibility will be to collaborate with business, product, and engineering teams to define problem statements, assess feasibility, and develop AI/ML-driven solutions that provide tangible business value. You will be leading end-to-end AI/ML projects, from initial data exploration and model development to validation, deployment, and continuous monitoring in production environments. Your expertise in machine learning, NLP, Generative AI, and statistical modeling will be crucial in driving solution architecture and ensuring scalability, reproducibility, and sustainability of AI solutions by implementing best practices in model development, CI/CD, and performance tracking. Additionally, you will be mentoring junior and associate AI/ML scientists, conducting technical reviews, and guiding them in solution development. Your role will also involve identifying and advocating for the adoption of emerging tools, technologies, and methodologies across teams, as well as translating technical outputs into actionable insights for business stakeholders through effective storytelling, data visualizations, and stakeholder engagement. The ideal candidate for this position should possess a Bachelor's or Master's degree in computer science, engineering, statistics, or a related quantitative field (a PhD is considered a plus). You must have advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms, particularly Azure, along with tools such as Databricks, Synapse, ADF, and Web Apps. A strong background in text analytics, NLP, and Generative AI with practical deployment experience is essential, as well as a solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production environments. Moreover, you should be a problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data insights and strategic decision-making. Previous experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines will be beneficial. Knowledge of the shipping and logistics business domain is an advantage. If you require any accommodations or special assistance during the application and hiring process, please feel free to reach out to us at accommodationrequests@maersk.com.,

Changing the world through digital experiences is what Adobe is all about. Adobe gives everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences. Adobe is passionate about empowering people to create beautiful and powerful images, videos, and apps, and transforming how companies interact with customers across every screen. Adobe is on a mission to hire the very best and is committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. Adobe realizes that new ideas can come from everywhere in the organization, and Adobe knows the next big idea could be yours. Adobe is seeking an experienced and hardworking Senior Product Manager to join Adobe Acrobat's product management team in Noida. In this role, you will be working with a talented and highly motivated team of product managers responsible for defining the long-term vision and strategy for Adobe Acrobat apps and helping in growing the business through cutting-edge innovations in the Generative AI space. As a product manager for Adobe Acrobat, you will help define the strategy and drive the development of products that impact the lives of billion users around the world; you will play the key role of defining product features and communicating requirements with multiple teams and ultimately ensuring that the product meets our customer needs. Strong leadership skills will be required to drive consensus on requirements and to ensure decisions are made in a timely manner. What you'll Do: - Define and champion product vision and strategy for your products. - Be a part of the core product management team for Adobe Acrobat and help drive Adobe's overall product strategy for flagship offerings in this business. - Work with highly talented and hardworking engineering, marketing, sales, and other teams to drive success for the business. - Execute on the product strategy, roadmap, and requirements by working closely with customers, partners, internal product teams, engineering, and senior management. - Research customer and market needs, conduct competitive analysis. - Define prioritized feature requirements along with an overall product roadmap. - Measure and assess the efficacy of the product roadmap for customer delight and business success. - Deliver presentations and demonstrations that highlight product value. - Collaborate with engineering teams, marketing, support, and partners to deliver the right product to the market. What you need to succeed: - Proven track record of defining product requirements and delivering successful products. - BS in Engineering and MBA (from top b-school (IIM, XLRI, ISB)) or equivalent experience. - Overall 9+ years of experience with a minimum of 6 years of post-MBA experience in a business role is highly desirable. - Ability to prioritize in ambiguous situations. - Demonstrated proficiencies in making data-driven recommendations and drive decisions. - Strong communication and social skills; ability to work across teams with geographically remote team members. - Motivated self-starter with the ability to learn and adapt. - Experience in agile software development practices within a large team environment desirable.,

You are an experienced Python Developer with a minimum of 5 years of relevant experience. You have expertise in Azure cloud services, database management, and Generative AI, and are passionate about developing innovative and scalable solutions. Joining our development team, you will play a key role in designing, developing, testing, and maintaining secure backend solutions using Python. Your responsibilities will include building RESTful APIs using frameworks like Flask or FastAPI, as well as designing and managing relational or NoSQL databases. Experience with .NET is a plus for contributing to cross-platform initiatives. Deploying, managing, and monitoring applications using Azure services will be a crucial part of your role. You will integrate Generative AI capabilities into applications to support intelligent features and automation, working closely with data scientists to operationalize AI models. Collaboration with cross-functional agile teams and participation in daily stand-ups, code reviews, and sprint planning sessions are essential for delivering end-to-end features. You will also be responsible for conducting code reviews, enforcing best practices, and mentoring junior engineers on technology and architecture decisions. Your required skills include a strong background in Python development, experience with Flask, FastAPI, or equivalent frameworks, knowledge of SQL and/or NoSQL databases, hands-on experience with Azure Cloud Services, and familiarity with integrating Generative AI tools. Additionally, you should have experience with CI/CD pipelines, version control using Git, and Agile development methodologies. Nice-to-have skills include working knowledge of .NET and C# for multi-platform support, frontend experience with React or Angular, experience with containerization in a cloud environment, and exposure to ML Ops or AI deployment tools. If you meet the above requirements and are looking to join a dynamic team, we invite you to apply for the Python Developer position with Gen AI. Our hiring process includes screening rounds, technical interviews, and final HR discussions.,

As the Chief Architect AI at Honeywell Technology Solutions (HTS), you will play a crucial role in driving breakthrough advancements in software development, system engineering, and emerging technologies such as artificial intelligence (AI), machine learning (ML), and cybersecurity. With a global team of over 5,500 engineers spread across multiple countries, you will lead the development, articulation, and implementation of a comprehensive AI/ML/Data Transformation Roadmap aligned with the overall business objectives of HTS. Your key responsibilities will include providing strategic leadership and direction in AI projects, driving performance output to meet KPI metrics, reviewing and prioritizing projects, collaborating with external partners and industry leaders, staying updated with the latest advancements in AI/ML, and enabling productivity gains across functions with the usage of AI technology tools. Additionally, you will work with engineering teams for cost optimization and cycle time reduction, evaluate AI tools/technologies/frameworks, and drive cross-SBG and virtual community on AI adoption and capability building for HTS. To be successful in this role, you must have proven experience and technology leadership in implementing AI/ML technologies for successful product and project execution. A Doctorate Degree (PhD) in Engineering (Electrical, Computer Science, Aerospace, Mechanical Engineering) and 10 years of experience in innovation and leadership of technology development are highly valued. Experience in developing technology or products utilizing ML and AI, ability to establish a strategy and execution plan in an ambiguous environment, hands-on technical experience in AI/ML/Complex Problem Solving, and strong technology development practices are also important. Furthermore, your ability to lead by example, collaborate effectively, maintain a big picture perspective, demonstrate personal accountability, operate with energy and enthusiasm, display personal courage and commitment, and empower others will be crucial in driving innovation, agility, and speed within the organization. Join Honeywell Technology Solutions and be a part of a global engineering team that is recognized for innovation, execution excellence, and technical leadership in delivering intuitive, reliable, and future-ready solutions across various business segments. Honeywell is committed to helping organizations solve complex challenges in automation, aviation, and energy transition, making the world smarter, safer, and more sustainable through actionable solutions and innovation.,

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity, driving our business priorities alongside meaningful social, community, and societal impact. You will report to the R&D team and play a key role in designing and developing AI-enabled applications for Ciena's Navigator Network Control Suite. Your work will directly contribute to enhancing network performance, automation, and operational efficiency through cutting-edge AI/ML solutions. In this role, you will: - Design, develop, and deliver AI applications using Generative AI, LLMs, Classical ML, and Agentic AI techniques. - Collaborate with cross-functional teams to integrate AIOps capabilities into Ciena's Navigator platform. - Analyze large datasets to uncover actionable insights and support data-driven decisions. - Fine-tune and train AI models tailored to Ciena's product and network application needs. - Participate in code reviews, testing, and deployment to ensure high-quality, scalable software. - Research the latest AI technologies and help define best practices for solution development and deployment. The Must Haves: - Bachelor's degree in Artificial Intelligence, Computer Science, Engineering, or a related field. - 3+ years of experience in developing AI software, particularly for AIOps or Data Science use cases. - Hands-on experience with LLMs, transformers, agentic frameworks, and RAG (Retrieval-Augmented Generation) techniques. - Strong programming skills in Python, Java, or C++. - Experience with machine learning frameworks like TensorFlow or PyTorch. - Familiarity with cloud platforms (e.g., AWS, Azure) and containerization tools such as Docker and Kubernetes. - Proven experience building microservice-based software systems. - Strong grasp of network management protocols and principles. - Effective communicator with the ability to work independently and collaboratively. Assets: - Experience with Ciena network management solutions. - Understanding of AIOps tools and practices. - A Master's or advanced degree in a related field. - Passion for innovation, continuous learning, and solving complex problems. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.,

The Technology Analyst Java Engineer will be part of the Technology Management team based in Bangalore, India. As an AVP, your role will involve improving technological operations to reduce infrastructure costs, enhance functional performance, and support the achievement of Divisional business goals. The organization is seeking technologists who are passionate about building innovative solutions. Your responsibilities will include collaborating with internal stakeholders to align bank strategy with implementation plans for delivering top-notch technology solutions. You will be responsible for computer operations, production support, systems and database administration, network operations, and client service. Ensuring systems performance and meeting service level requirements will be crucial, along with translating business requirements into technical solutions or Release Management. As part of the flexible scheme, you will enjoy benefits such as best in class leave policy, gender-neutral parental leaves, childcare assistance benefit, sponsorship for relevant certifications, Employee Assistance Program, comprehensive hospitalization and life insurance, and health screening. Key responsibilities will involve working with a global team to formulate and execute technology strategy, focusing on maintaining an engineering-focused organization. You will collaborate with technical specialists to develop solutions, support applications, manage the application life cycle, perform data analysis, and design sustainable solutions aligned with the bank's strategic direction. Upholding IT Governance in line with company policies and regulations will be part of your role. To excel in this position, you should have 10-12 years of hands-on experience with Core Java, Spring/Spring Boot, Hibernate/JPA, JMS/Kafka/MQ, REST API, C# & .NET, Microservice architecture, and relational databases like Oracle PL/SQL. Experience with software development lifecycle, public cloud platforms, AI/ML, and financial institutions is beneficial. Strong communication skills, problem-solving abilities, and a proactive approach are essential. A Bachelor of Science degree in Computer Science or Software Engineering, familiarity with Finance and Asset Management industry, a positive attitude, and a willingness to learn and adapt to new technologies will help you excel in this role. You will receive training, coaching, and support from experts in the team, fostering a culture of continuous learning and career progression. The company promotes a positive, fair, and inclusive work environment, encouraging collaboration and excellence among its employees. Visit the company website for more information: [https://www.db.com/company/company.htm](https://www.db.com/company/company.htm). Join Deutsche Bank Group in empowering individuals to excel together and celebrate shared successes.,

The tech stack comprises Typescript for APIs, Python scripts for AI/ML, Kafka, Spark, and data warehouses for ML pipelines (spark on Python), AWS, GCP & Terraform. Please note that the tech stack is subject to change as we scale. Your responsibilities will include building clean and concise APIs for customer integrations, along with providing proper documentation. You will be involved in setting up, running, scaling, and maintaining infrastructure. Ensuring fool-proof security across the stack through encryption, hashing, privacy measures, VPC, etc., will be a crucial part of your role. You will also work on infrastructure as code, developing Terraform scripts, and ensuring easy replication of infrastructures across different regions. Additionally, managing production deployments, logging, monitoring, setting up on-call processes, and mentoring junior engineers are integral parts of this position. Our values include a culture of continuous 360 feedback, where everyone is expected to share constructive criticism. We emphasize being product-minded, with everyone sharing product ownership and engaging in customer outreach, support, and feedback. We value action over words and prioritize executing fast in the right direction. Kindness and empathy are core values in our mission to build the world's most human-centric company. As for your qualifications, we expect you to have experience in building projects from scratch or scaling existing ones. Proficiency in Typescript or Python is a must. We value practical experience over academic qualifications, looking for evidence of your work through side projects, open-source contributions, blogs, etc. Understanding the fundamentals of building and integrating APIs and secure systems, taking ownership of the tech stack from infrastructure to APIs and UIs, and optimizing for developer productivity and product performance are key expectations. Ideal candidates will have experience working with early-stage companies, a strong bias for action, and a track record of building and scaling systems from the ground up. Familiarity with Generative AI and LLMs, including tinkering with different models and understanding challenges like hallucinations and token optimizations, is preferred.,