819 Llms Jobs - Page 22

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Your role will be to lead as the VP of Agent Engineering within our AI Sales Engineering team. You will be responsible for driving client-facing engagements, designing intelligent agent solutions, and ensuring sales success through technical alignment. Your expertise in AI/ML, business acumen, and client guidance will be crucial in helping clients adopt intelligent agents that surpass traditional rule-based bots. As the VP of Agent Engineering, you will: Lead Technical Sales Strategy: Take ownership of crafting and communicating the technical sales narrative for intelligent agents to enterprise clients. Solution Architecture: Develop and present intelligent agent architectures that showcase true reasoning, autonomy, and value. Client Engagement: Work closely with prospects and clients to identify their requirements, conduct discovery sessions, and recommend suitable agent-based solutions. Evangelize Agent Intelligence: Set apart Mobius's agent capabilities by highlighting genuine intelligence, contextual reasoning, and adaptive behavior. Cross-functional Leadership: Collaborate with product, engineering, and business teams to shape offerings that address real-world enterprise needs effectively. Proof of Concept Design: Develop compelling demos and prototypes to demonstrate the potential of AI agents in practical scenarios. Sales Enablement: Provide technical training and support to sales teams by offering content, playbooks, and success stories related to AI agents. Qualifications: - Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Possess over 10 years of experience in sales engineering, solution architecture, or technical consulting, preferably within AI or enterprise SaaS. - Demonstrate a deep understanding of LLMs, cognitive agents, machine reasoning, and real-time decision systems. - Showcase a track record of effectively selling and explaining cutting-edge technology with clarity and confidence. - Have familiarity with frameworks such as LangChain, ReAct, AutoGPT, and open-source agent stacks. - Exhibit strong skills in client communication, executive presentations, and translating technical concepts into tangible business outcomes. If you resonate with our commitment to excellence, diversity, and inclusivity, and thrive in a vibrant and dynamic work environment, we encourage you to apply for this role as the VP of Agent Engineering.,

You enjoy shaping the future of product innovation as a core leader, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a Product Manager in Chief Technology Office team, you play a pivotal role in driving innovation and leading the end-to-end product life cycle. As a Help and Content Management Product Manager, you are responsible for developing and executing strategies to optimize help and content management systems. You lead efforts to enhance user experience, streamline content delivery, and ensure alignment with business objectives. This role involves collaborating with cross-functional teams, managing product life cycles, and leveraging AI and data analytics to improve content accessibility and effectiveness. The Product Manager also monitors industry trends and regulatory requirements to ensure compliance and drive innovation in content management solutions. Job responsibilities Develop and maintain a product strategy, vision, roadmap, and delivery timeline that delivers value to customers. Conduct market research and discovery efforts to uncover customer solutions and integrate them into the product roadmap. Own and manage a product backlog to support the strategic roadmap and value proposition. Monitor product adoption, usage, and value realization to optimize performance and enhance features. Stay updated with the latest research in LLM, ML, and data science to leverage emerging techniques for product enhancement. Collaborate with internal stakeholders to prioritize use cases and translate them into actionable product requirements. Mentor the product team on best practices and support them in delivering objectives effectively. Required qualifications, capabilities, and skills Formal training or certification on Product Management concepts and 5+ years applied experience Understanding of AI-powered systems, including LLMs, content strategy, and enterprise knowledge platforms. Experience with CI/CD tool chains and advanced knowledge of the product development life cycle, design, and data analytics. Lead product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management. Demonstrated strategic thinking and problem-solving skills, with leadership experience in agile/scrum teams. Excellent communication skills, capable of presenting ideas clearly to senior stakeholders and articulating business needs to technical leadership. Ability to thrive in a fast-paced, collaborative, and cross-functional environment, with flexibility to navigate ambiguity and influence stakeholders effectively. Preferred qualifications, capabilities, and skills Familiar in building AI-led solutions for productivity tooling or automation, with an understanding of regulatory constraints on AI use. Familiarity working within highly matrixed, complex organizations. Knowledge and familiarity with Knowledge Management systems, methodologies, and processes. Leadership skills, with preferred experience in agile/scrum teams. Partner with data scientists and engineers to deliver high-quality AI solutions.,

You will be part of a team that is building an Agentic AI Platform aimed at enabling enterprises to solve real business problems using Agentic AI workflows. The platform covers a wide range of areas from utility operations to legal document review. The ultimate goal is to empower AI agents to think, act, and deliver quickly, securely, and locally. As an Agentic AI Engineer, you will have the opportunity to work with cutting-edge frameworks such as Lang Chain, CrewAI, Lang Graph, Google ADK, and more. Your role will involve translating real enterprise challenges into intelligent multi-agent workflows. Your responsibilities will include building and deploying AI agents using open-source agentic frameworks, integrating models from sources like OpenAI, Mistral, Gemini, Llama, Claude, among others, and utilizing tools such as Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores. Collaboration with product managers and domain experts to address real problems in various enterprise domains like utilities, legal, marketing, and supply chain will be a key aspect of your role. Additionally, you will play a significant role in continuously testing and refining agent behavior and contributing to the enhancement of the proprietary DataInsightAI platform. To excel in this role, you should possess at least 1+ years of hands-on experience in implementing enterprise-level Gen AI projects that have been successfully deployed. Strong Python skills, familiarity with LLMs, agentic AI workflows, RAG, vector databases, and the ability to simplify complex problems are essential. A curiosity-driven mindset, a fast learner, and hands-on coding abilities are also crucial for success in this role. While not mandatory, experience in multi-agent architectures, graph databases like Neo4j, deployment on cloud platforms such as Azure/AWS/GCP, and familiarity with LangGraph or Google ADK are considered advantageous. Joining our team will offer you the opportunity to work on cutting-edge agentic AI projects daily, be part of a small team with significant ownership, ship solutions rapidly, and tackle real enterprise challenges. Moreover, you will be supported by InTimeTec, a company with a strong AI/ML engineering culture.,

As a Senior AI Engineer with over 5 years of experience, you will be responsible for leading the design, development, and deployment of advanced AI systems. Your expertise in LLMs, ML pipelines, model optimization, and real-time deployment will be crucial in successfully scaling AI systems in production. Additionally, you will play a key role in fine-tuning large language models, optimizing training pipelines, and owning the end-to-end lifecycle of AI projects from data to deployment. In this role, you will evaluate third-party models and tools to recommend best-fit solutions, collaborate with cross-functional teams to align AI efforts with product goals, and lead junior developers while contributing to architectural decisions. Your strong understanding of NLP, deep learning, and large-scale model architectures, coupled with your proficiency in Python, PyTorch/TensorFlow, and data engineering tools, will be essential in designing and optimizing ML pipelines for performance and scalability. Preferred skills for this role include experience managing AI teams or mentoring juniors, working knowledge of Retrieval-Augmented Generation (RAG) and embeddings, as well as familiarity with CI/CD, Docker, and cloud deployment pipelines. If you are looking for an opportunity to work in Mumbai, Maharashtra, and can join immediately, we invite you to apply for this challenging and rewarding position as a Senior AI Engineer.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

About the Role: We are looking for a highly skilled AI/ML Developer to join the core product team of QAPilot.io. The ideal candidate should come from a product-based or AI-first company, with a strong academic background from institutes like IITs, NITs, IIITs, or other Tier-1 engineering colleges. You will work on real-world AI problems related to test automation, software quality, and predictive engineering. Key Responsibilities: Design, build, and deploy machine learning models for intelligent QA automation Work on algorithms for test case optimization, bug prediction, pattern recognition, and data-driven QA insights Apply techniques from supervised/unsupervised learning, NLP, and deep learning Integrate ML models into the product using scalable and production-ready code Continuously improve model performance through experimentation and feedback loops Collaborate with full-stack developers, product managers, and QA experts Explore LLMs, transformers, and generative AI for advanced test data generation and analysis Required Skills & Qualifications: B.Tech / M.Tech / MS in Computer Science, Data Science, or related fields from IIT/NIT/IIIT or other top-tier institutes 3+ years of experience as an AI/ML Developer, preferably in product or AI-centric companies Strong proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch) Experience in NLP, LLMs, or generative AI (preferred) Hands-on with ML lifecycle: data wrangling, model training, evaluation, and deployment Familiarity with MLOps tools like MLFlow, Docker, Airflow, or cloud platforms (AWS/GCP) Prior exposure to software testing, DevOps, or developer tooling is a plus Strong analytical skills, attention to detail, and curiosity to solve open-ended problems Portfolio, GitHub, or project links demonstrating AI/ML expertise are desirable Why Join QAPilot.io: Work on an innovative AI product transforming the software QA ecosystem Join a high-impact, product-oriented engineering culture Solve challenging AI problems with real user value Collaborate with top talent from the tech and AI ecosystem Competitive salary, learning-focused environment, and growth opportunities To Apply: Please send your updated resume and any supporting links (GitHub, projects, publications).

As a Senior SEO Specialist at Interactive Bees located in Delhi NCR, you will be responsible for developing and implementing advanced SEO strategies that encompass on-page, off-page, and technical aspects. With over 5 years of experience in core SEO, you will lead keyword research, competitive analysis, and content audits to ensure optimal performance in an ever-evolving digital landscape. Your role will involve working closely with Large Language Models (LLMs) and Generative AI tools to optimize content workflows with tools like ChatGPT, Claude, Jasper, etc. You will integrate Generative AI into SEO content pipelines while upholding quality, originality, and E-A-T standards. Collaborating with developers and content teams, you will implement SEO best practices on websites and landing pages. Monitoring and reporting on SEO performance using tools such as GA4, GSC, SEMrush/Ahrefs, and LLM-driven dashboards will be a crucial part of your responsibilities. Staying abreast of AI advancements in search, such as SGE, AI snippets, and multimodal SEO, will ensure that you remain ahead of the curve in SEO strategies. Preferred skills for this role include a deep understanding of Google algorithms, indexing, crawling, and structured data. Experience in using and optimizing prompts with LLMs for SEO content generation is highly desirable. Familiarity with AI-powered SEO tools like Surfer SEO, MarketMuse, and Frase will be advantageous. Additionally, knowledge of schema markup, page speed optimization, and technical audits is essential. If you have experience in integrating LLMs with CMS or SEO platforms, an understanding of prompt engineering, or exposure to Python and automation scripts for SEO tasks, it would be considered a bonus. Prior experience in optimizing content for AI search experiences, such as SGE and Bing Chat, will also be beneficial. Joining Interactive Bees offers you the opportunity to work on cutting-edge SEO and AI projects for leading brands. You will be part of a collaborative and growth-focused team culture with opportunities to experiment with new tools and AI models. Competitive salary along with performance incentives make this role even more rewarding.,

As an AI/ML professional with 4-8 years of experience, your role will involve developing and implementing AI models and pipelines utilizing LLMs to meet business requirements. You will be responsible for designing and deploying machine learning solutions on Azure, ensuring high performance, scalability, and reliability. Using Python for data preprocessing, model development, and experimentation will be a key part of your responsibilities. Moreover, you will play a crucial role in building and integrating REST APIs using Flask to facilitate seamless model access for various applications. Your expertise in containerizing models and applications with Docker will be vital in streamlining deployment processes and enhancing portability. Collaboration with cross-functional teams to comprehend project objectives and develop customized AI solutions will also be a significant aspect of your job. To excel in this role, you should stay abreast of the latest advancements in LLMs and cloud technologies. Optimizing models for accuracy, performance, and inference speed based on real-time data will be essential to drive continuous improvement and innovation. Qualifications for this position include 4-8 years of experience in data science, specifically working with LLMs models in domains such as CPG, Retail, and Supply Chain. Hands-on experience in deploying AI/ML models on Azure and utilizing cloud-based tools is essential. Proficiency in Python for data manipulation, model building, and evaluation is required. Additionally, experience with Dockerization for deploying and managing AI applications, knowledge of Flask for building lightweight APIs, and strong problem-solving skills to translate business challenges into AI solutions are necessary. Good communication skills are vital for effective collaboration with stakeholders and presenting technical results convincingly. A working knowledge of the finance domain is a must for this role.,

Auxiliobits is a global consulting and AI services firm that specializes in delivering transformative automation solutions across various industries. With a presence in India, Dubai, and the US, we focus on HyperAutomation, Agentic AI, and Intelligent Process Automation, leveraging advanced technologies such as UiPath, LLMs, Autonomous Agents, and cloud-native deployments. We are currently looking for a Senior RPA + Agentic AI Developer to take the lead in developing and deploying next-gen automation solutions. The ideal candidate should possess solid expertise in UiPath development and have hands-on experience or a keen interest in Agentic AI frameworks like LangChain, ReAct, or UiPath's Agentic features. In this role, you will collaborate closely with cross-functional teams to deliver automation systems that go beyond being rule-based to being reasoning- and context-aware. Key Responsibilities: - Design, build, and deploy scalable RPA solutions using UiPath and modern automation frameworks. - Develop and integrate Agentic AI components, such as ReAct-style agents, LLM orchestration, and autonomous workflows. - Utilize APIs, cloud services, and enterprise data to facilitate AI-powered decision-making and process execution. - Identify automation opportunities blending RPA and AI in collaboration with Process Owners and Business Analysts. - Implement document understanding, NLP models, and AI-based classification in end-to-end workflows. - Create reusable components, libraries, and utilities to expedite delivery. - Ensure adherence to security, scalability, and auditability standards. Required Qualifications: - Minimum 5 years of experience in RPA development, with at least 3 years focusing on UiPath (REFramework, Queues, Orchestrator, etc.). - Preferably possess the UiPath Advanced Developer Certification. - Proficiency in .NET, VB, Python, or similar programming languages. - Experience in integrating REST/SOAP APIs, working with databases, and handling structured/unstructured data. - Familiarity with LLMs, prompt engineering, LangChain, OpenAI, or similar AI tools. - Hands-on exposure to ReAct agents, retrieval-augmented generation (RAG), or agent orchestration concepts. - Strong problem-solving skills and the ability to work independently in a fast-paced environment. Good to Have: - Experience in Agentic Process Automation or multi-agent architectures. - Knowledge of cloud services like Azure, AWS, GCP, and deploying AI/RPA workloads on the cloud. - Domain expertise in finance, healthcare, logistics, or procurement. - Familiarity with platforms such as UiPath Apps, Action Center, and AI Center. Perks & Benefits: - Opportunity to work with cutting-edge automation and AI technologies. - Collaboration with a high-performance team and global clients. - Exposure to enterprise-grade deployments and innovation projects. - Career advancement prospects in an AI-first automation company.,

The role of S&C GN AI - Insurance AI Generalist Consultant at Accenture Global Network involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As a Team Lead/Consultant at Bengaluru, BDC7C location, you will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. In this position, you will be part of a unified powerhouse that combines the capabilities of Strategy & Consulting with Data and Artificial Intelligence. You will work on architecting, designing, building, deploying, delivering, and monitoring advanced analytics models, including Generative AI, for various client problems. Additionally, you will develop functional aspects of Generative AI pipelines and interface with clients to understand engineering/business problems. The ideal candidate for this role should have 5+ years of experience in data-driven techniques, a Bachelor's/Master's degree in Mathematics, Statistics, Economics, Computer Science, or a related field, and a solid foundation in Statistical Modeling and Machine Learning algorithms. Proficiency in programming languages such as Python, PySpark, SQL, Scala is required, as well as experience implementing AI solutions for the Insurance industry. Strong communication, collaboration, and presentation skills are essential to effectively convey complex data insights and recommendations to clients and stakeholders. Furthermore, hands-on experience with Azure, AWS, or Databricks tools is a plus, and familiarity with GenAI, LLMs, RAG architecture, and Lang chain frameworks is beneficial. This role offers an opportunity to work on innovative projects, career growth, and leadership exposure within Accenture, a global community that continually pushes the boundaries of business capabilities. If you are a motivated individual with strong analytical, problem-solving, and communication skills, and the ability to thrive in a fast-paced, dynamic environment, this role provides an exciting opportunity to contribute to Accenture's future growth and be a part of a vibrant global community.,

The Sales Ex COE - Client Success Data Science Specialist role based in Bangalore, Gurgaon, Hyderabad, or Mumbai requires expertise in data science, machine learning, and generative AI skills. As part of the Center of Excellence (COE), you will support salespeople by analyzing data, creating models, and delivering insights to enhance sales and pricing methods. Your primary responsibility will be to enable Sales Excellence in providing top-notch service offerings to Accenture's leaders, practitioners, and sales teams. Working within the COE Analytics Modeling Analysis team, you will develop models and scorecards to improve processes, drive sales, and maximize profitability. Collaborating with operations teams, you will translate data-driven insights into actionable solutions, manage tool access, and monitor usage. Key responsibilities include: - Extracting and transforming raw data from various sources for analysis and modeling - Applying statistical, machine learning, and NLP techniques to identify patterns and extract insights - Developing machine learning or deep learning models to address complex business challenges - Presenting findings to technical and non-technical audiences in a clear manner - Exploring Gen AI use cases and collaborating with cross-functional teams to develop solutions - Ensuring data compliance with privacy regulations and implementing security measures - Staying updated on advancements in data science and Gen AI To qualify for this role, you should have a Bachelor's degree with at least 4 years of experience in AI/ML, including expertise in machine learning algorithms, NLP techniques, generative AI skills, data visualization tools, and coding in Python, SQL, or R. Strong communication, time management, organizational, and project management skills are essential. A Master's or doctoral degree in Data Science or related field, along with experience in developing Gen AI solutions using Azure OpenAI or Google PaLM2, is preferred. Join Accenture, a leading company with a wealth of experience, and contribute your 6-9 years of expertise to drive innovation and success in the field of data science and AI.,

It's exciting to be part of a team where everyone truly believes in the company's mission and values! At our company, we are dedicated to bringing enthusiasm and a customer-centric approach to our work. As an AI Quality Assurance Lead specializing in Evaluation & Testing, you will be based in our Hyderabad office 2-3 days a week. You will play a crucial role in overseeing ABC Fitness's evaluation frameworks, testing pipelines, and compliance tools for AI-driven features. Collaborating with product, engineering, and legal teams, you will ensure that every interaction with our Generative AI technology meets the highest standards of accuracy, safety, and performance. Your responsibilities will include designing hybrid testing systems, defining quality KPIs for GenAI, and integrating Responsible AI principles throughout our fitness-tech platform. At ABC Fitness, we have a strong entrepreneurial spirit, which drives us to roll up our sleeves, act swiftly, and learn together. We value individuals who are willing to take on challenges and grow alongside us. In this role, you will: - Design and implement evaluation pipelines for generative AI systems using tools such as OpenAI Evals, Promptfoo, and custom test harnesses. - Develop workflows for detecting hallucinations and frameworks for analyzing biases in LLM outputs across multiple languages. - Collaborate with AI researchers to translate model capabilities into testable requirements for product teams. - Establish CI/CD-integrated regression testing for AI microservices on cloud platforms like AWS/Azure, monitoring model performance and drift. - Lead bug triage sessions, prioritizing issues that impact user trust, legal compliance, or revenue. - Document QA protocols, failure modes, and root-cause analyses in our internal knowledge base. To be successful in this role, you will need: - 7+ years of experience in QA/testing roles, with a focus on AI/ML systems for at least 3 years (LLMs, recommendation engines, conversational AI). - Hands-on experience with GenAI evaluation tools like LangSmith, Weights & Biases, and proficiency in statistical analysis using Python and SQL. - Proficiency in cloud platforms such as AWS SageMaker, Azure ML, and containerized testing environments like Docker and Kubernetes. - A deep understanding of Responsible AI principles, including fairness, transparency, privacy, and experience with adversarial testing methodologies. - The ability to mentor junior engineers and effectively communicate technical risks to non-technical stakeholders. - Certifications like AWS Certified Machine Learning Specialty or Microsoft AI Engineer would be advantageous. At ABC Fitness, we offer: - A purpose-led company with a culture centered around values such as Best Life, One Team, and Growth Mindset. - Competitive PTO plans, including 15 days of accrued leave, 12 days of Sick leave, and 12 days of Casual leave per year. - Group Mediclaim insurance coverage, Life Insurance, Personal Accident Insurance, and other benefits. - Support for working women with financial aid for childcare facilities. - An inclusive and diverse workplace where all employees are valued and encouraged to reach their full potential. If you are passionate about diversity, equality, and inclusion, we invite you to apply for this role at ABC Fitness and be a part of our dynamic team!,

We are looking for highly motivated and innovative Research Scientists to join our team in Bengaluru, with a focus on advancing multilingual, multicultural, and multimodal large language models (LLMs). Your primary responsibility will be to conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain encompassing speech, vision, and text. This research has a direct path to impacting billions of users through Google products. This role provides a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on addressing unique challenges in the Asia-Pacific (APAC) region. You will collaborate with a world-class team at Google DeepMind globally. If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply. Artificial Intelligence has the potential to be one of humanity's most valuable inventions. At Google DeepMind, we are a team of scientists, engineers, machine learning experts, and more, working together to advance the state of the art in artificial intelligence. We utilize our technologies for widespread public benefit and scientific discovery, collaborating with others on critical challenges while ensuring safety and ethics are our highest priorities. This position is within the Languages group at Google DeepMind India, where the focus is on all aspects of LLM development, making impactful contributions to enhance Gemini's multilingual performance. The group's work has also improved various Google products such as Gemini App, Assistant, Search, etc., including foundational contributions to Google Translate's expansion to 110 languages representing over 600 million speakers. As a Research Scientist at Google DeepMind, your key responsibilities will include: - Developing and evaluating multilingual, multicultural, and multimodal LLMs, designing, implementing, and evaluating capabilities in Gemini and other frontier models at Google. - Collaborating with a world-class team, working closely with other research scientists, engineers, and product teams across Google DeepMind to foster a collaborative and intellectually stimulating environment. - Contributing to real-world impact, seeing your work contribute to Gemini and other frontier models at Google with applications across various domains, directly influencing the future of Google products and services. - Contributing to the research community by sharing insights and participating in external academic workshops and conferences. The ideal candidate will possess a Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field, a strong publication record in top-tier AI conferences or journals, and a solid understanding of deep learning, natural language processing, computer vision, and/or speech processing. Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, along with excellent communication and collaboration skills, are essential. Additionally, experience with multilingual, multicultural, and/or multimodal learning in LLMs, pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations would be advantageous. Familiarity with large-scale model training and deployment, as well as strong programming skills in Python or similar languages, are also desired qualities in the ideal candidate.,

As a Senior Director at Accordion, you will be utilizing your skills and expertise as an Azure/AWS Web Application Developer with proficiency in MEAN (MongoDB, Express.js, AngularJS, Node.js) or MERN (MongoDB, Express.js, React.js, Node.js) stack. Your primary responsibility will involve the design, development, and maintenance of web applications hosted on the Azure and AWS platforms. Collaborating with cross-functional teams, you will ensure the delivery of high-quality web applications that align with client requirements. Your key responsibilities will include: - Designing, developing, and maintaining complex web applications using the MERN stack (MongoDB, Express.js, React.JS, and Node.js). - Integrating generative AI models and tools into applications to enhance user experiences and introduce innovative features. - Collaborating with UI/UX designers, data scientists, and backend developers to ensure seamless integration and delivery of high-quality products. - Staying updated with industry trends by researching and evaluating new technologies and tools. - Providing technical leadership and mentorship to junior team members. Ideal candidates for this role should possess: - Proficiency in the MERN stack, including JavaScript, TypeScript, HTML, CSS, and MongoDB. - Experience in designing and developing scalable and maintainable web applications. - Familiarity with serverless computing and containerization technologies such as AWS Lambda and Docker. - Knowledge of DevOps practices and tools like CI/CD pipelines and Git. - Experience with data visualization and analytics tools like Tableau and Power BI. Joining Accordion presents a rewarding career opportunity with benefits including: - High-growth environment with semi-annual performance management and promotion cycles fostering quick progression to leadership roles. - Exposure to diverse work streams across industries and domains to keep you engaged and motivated. - Entrepreneurial environment that encourages decision-making and ownership. - Fun and non-bureaucratic culture with a strong peer group to challenge and accelerate your learning curve. Additionally, Accordion offers a range of benefits for full-time employees such as health and wellness programs, corporate meal card options, team outings, robust leave policies, reward and recognition platforms, and a positive work environment with various employee engagement initiatives to support personal and professional development.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

We are seeking a Senior LLM Engineer to actively contribute to the development of cutting-edge GenAI applications. Your responsibilities will include building GenAI applications that align with business use cases, designing and optimizing prompts for multi-modal models, testing GenAI solutions to ensure they meet requirements and implementing guardrails to prevent unintended or harmful content generation. Additionally, you will be involved in designing conversational or RAG systems. To be successful in this role, you should have a Bachelor's degree in Engineering or related fields with at least 3 years of experience in ML/LLMs. You should possess knowledge of prompt engineering techniques such as chain of thoughts, tree of thoughts, guardrails, zero-shot or few-shot prompting. Familiarity with open-source and proprietary LLMs like GPT, Claude, LLaMA, and Mistral is required. Proficiency in Python programming and experience with libraries like numpy and pandas are essential. Hands-on experience with frameworks such as Langchain, LlamaIndex, Huggingface, or similar tools is preferred. Knowledge of RAG and experience with self-hosted/cloud-based vector databases is a plus. The ideal candidate will have a proven ability to work effectively in a cross-discipline environment within defined timelines. Experience with cloud-based systems, particularly GCP or AWS, is highly desirable. Strong analytical, problem-solving, written, and verbal communication skills are also key requirements. This position is based in Ahmedabad or Pune.,

Are you a curious mind eager to build real-world AI solutions At Cygnus, we are on the lookout for smart interns ready to innovate with GenAI. You will have the opportunity to work directly with our CTO and product teams to prototype, fine-tune models, and solve practical business challenges using the latest AI tools. This is a paid internship with a path to full-time employment. As a selected intern, your day-to-day responsibilities will include building and deploying AI/ML models for internal tools and client-facing solutions. You will also get to explore and experiment with LLMs such as OpenAI, Ollama, Cohere, etc. Additionally, you will be automating workflows using Python, LangChain, n8n, or similar platforms. Your role will involve researching new GenAI techniques and applying them to our product stack. Collaboration with Sales, Ops, and Supply teams to ship rapid MVPs will also be a key part of your responsibilities. If you are passionate about AI and excited to shape the future of travel, we would love to hear from you. Let's build something amazing together. Good luck! :) About Company: Cygnus is a Pune-based AI-driven Corporate Travel Management Company that is revolutionizing how businesses manage travel. We exclusively work with corporates, offering a comprehensive one-stop solution for all their travel needs - from flights and hotels to visa, MICE, and cab bookings. Our mission is to replace outdated travel processes with a streamlined, tech-savvy approach that solves real-world challenges faced by travel managers. Backed by strong industry connectivity, a skilled professional team, and a commitment to continuous improvement, Cygnus is redefining corporate travel with innovation and efficiency at its core.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

Position Title: AI/ML Engineer Department: Data Science Reports To: Technical Lead Work Location: On-site Position Summary: We are seeking an AI/ML Engineer with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs) to join our Data Science team. The ideal candidate will be proficient in developing, deploying, and evaluating AI/ML models with a strong background in computer vision, RESTful API development, and working with LLMs in local and cloud-hosted environments. This role requires exposure to advanced tools such as LangChain , Ollama , Weaviate , and LlamaIndex , and provides the opportunity to work on real-world applications using Agentic AI , RAG (Retrieval-Augmented Generation) KAG (Knowledge Augmented Generation) and COT (Chain of thought) pipelines. Essential Duties and Responsibilities: Develop, train, and deploy deep learning models using PyTorch and TensorFlow . Build and optimize Computer Vision models for: Face detection Object tracking and recognition OCR (Optical Character Recognition) ID Verification Design and deploy RESTful APIs using FastAPI , Flask , or Django . Develop scalable containerized solutions using Docker , with orchestration via Kubernetes (K8s) . Integrate and query SQL , NoSQL , and Vector Databases such as Weaviate or Pinecone . Run and evaluate LLMs locally using tools such as Ollama , including model comparisons and performance tuning. Work on NLP tasks including: Instruction tuning , summarization , embedding generation Prompt engineering (few-shot, CoT reasoning) Experience with transformer-based models like GPT , LLaMA , BERT , Falcon Build and maintain RAG pipelines using frameworks such as LangChain , LlamaIndex , and LangGraph . Collaborate with cross-functional teams to define technical requirements and deliver high-impact AI solutions. Stay current with industry trends in LLMs, vector databases, and agentic AI architectures and MCP (Model context protocol). Qualifications: Education & Experience: Bachelors or masters degree in computer science, Artificial Intelligence, or a related field. Minimum of 3 years of hands-on experience in AI/ML development and deployment. Demonstrated experience working with LLMs , computer vision , and REST APIs . Core Technical Skills: Programming: Python Frameworks & Libraries: PyTorch , TensorFlow , OpenCV API Development: FastAPI , Flask , Django Proficiency in DSA (Data Structures and Algorithms). Containerization & Version Control: Docker , Git , Kubernetes (K8s) Databases: SQL and NoSQL Vector Databases : Weaviate , Pinecone Computer Vision Experience: Face detection Object tracking and recognition OCR ID Verification LLMs & NLP: Experience using Ollama for local LLM exploration and evaluation Instruction tuning, summarization, embedding generation Prompt engineering techniques (few-shot, chain-of-thought reasoning) Familiarity with GPT , LLaMA , BERT , Falcon , and other transformers Agentic AI & RAG/KAG: Building RAG/KAG pipelines using LangChain , LlamaIndex , and LangGraph Integration with cloud-hosted, local, and API-based LLMs Language Ability: Ability to read and interpret technical documentation and write moderately complex reports or procedures. Strong verbal and written communication skills to convey complex technical concepts to non-technical stakeholders. Mathematical Ability: Proficiency in probability, linear algebra, calculus, and statistics relevant to machine learning model development and evaluation. Reasoning Ability: Analytical thinker with problem-solving skills to work through technical challenges. Capable of managing competing priorities and adapting to changing project scopes. Detail-oriented and capable of identifying root causes and implementing data-driven solutions. Computer Skills: High proficiency in AI/ML tools and platforms, including cloud-based solutions, model deployment stacks, and development environments. Comfortable using collaboration tools (Microsoft Office, Google Suite, Git-based version control). Certificates and Licenses: None required. Information Security Management (ISM) and Privacy Statement: Ensure compliance with data privacy regulations and internal data handling policies. Implement appropriate encryption, access control, and audit logging on AI systems. Participate in regular code reviews, vulnerability scans, and privacy assessments. Position Description Acknowledgement: I have reviewed this position description and understand my job duties and responsibilities. I confirm my ability to perform the essential functions outlined. I understand that job responsibilities may change according to business needs and will seek clarification as needed. I recognize that performance evaluations and salary adjustments are tied to my ability to meet the roles expectations. Employee’s Name (please print): ___________________________________________ Employee’s Signature: _______________________________ Date: ___________ Manager’s Signature: ________________________________ Date: ___________ Version: V1.eff 07/2025

Job Title: AI/ML Engineer – (5 Years Exp) Location: Bangalore Duration: 1 year (Extendable) AI/ML Engineer with 5 years of experience for a contractual role based in Bangalore. Required Candidate profile Key Skills: Azure, GCP, Python, Generative AI, LLMs, RAG, Machine Learning, PyTorch/TensorFlow. Apply now to be part of a dynamic and innovative AI team.

Job Title: AIML Lead Experience: 5+ Years Location: Chennai / Madurai Job Type: Full-time | Onsite / Hybrid Job Summary: We are looking for an experienced AI/ML Lead to drive the design, development, and deployment of cutting-edge solutions in Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Deep Learning . You will lead a team of data scientists and ML engineers, working on innovative projects across domains. Key Responsibilities: Lead end-to-end delivery of AI/ML projects in GenAI, NLP, and LLMs . Design and implement state-of-the-art deep learning models and algorithms. Fine-tune and optimize foundation models (GPT, BERT, LLaMA, etc.) for real-world use cases. Guide research and experimentation in generative AI (text, image, or audio-based). Collaborate with cross-functional teams (Product, Data Engineering, DevOps). Stay updated with latest advancements in AI/ML and apply them to business problems. Mentor junior ML engineers and data scientists. Ensure model performance, scalability, and compliance with ethical AI practices. Required Skills: Strong expertise in Generative AI , LLMs (e.g., GPT, Claude, PaLM), and transformer-based architectures . Proficient in NLP , deep learning , and machine learning pipelines . Experience with Python , PyTorch , TensorFlow , LangChain , Hugging Face , etc. Hands-on experience deploying ML models in production. Experience in prompt engineering, fine-tuning, and embeddings. Strong understanding of vector databases (e.g., FAISS, Pinecone, Weaviate). Experience with cloud platforms (AWS, GCP, or Azure).