847 Nlp Jobs - Page 7

As a Data Engineering Lead specializing in AI for Data Quality & Analytics with 7 to 10 years of experience, you will play a crucial role in developing and maintaining high-quality data ingestion and validation processes from various upstream systems. Your responsibilities will encompass designing and implementing scalable data quality validation systems, developing AI-driven tools for anomaly detection, and leading the development of data pipelines and validation scripts. Additionally, you will collaborate with stakeholders to proactively address reporting gaps and ensure auditability of decisions derived from enriched data. Your expertise in Python, Alteryx, SQL, and cloud data platforms like Snowflake will be essential for this role, along with a deep understanding of data pipelines, ETL/ELT processes, and data validation best practices. Experience with AI/ML in data quality and familiarity with enterprise systems like Workday, Beeline, and Excel-based reporting are also required. Strong interpersonal and communication skills are necessary to collaborate effectively with executive stakeholders and distributed teams. In this position, you will have the opportunity to lead a small, distributed team, mentoring junior engineers and analysts while optimizing headcount through AI augmentation. Your leadership will enable team members to focus on higher-value initiatives and align system architecture with business needs. Preferred attributes include experience in leading data modernization or AI transformation projects and exposure to dashboard adoption challenges and enterprise change management. If you are a data engineering professional with a passion for data quality and analytics, and possess the requisite skills and experience, we invite you to send your updated resume to swetha.p@zettamine.com. Join our team in Bangalore and contribute to building AI-enhanced quality frameworks, scalable reporting solutions, and automated anomaly detection systems that drive business insights and decision-making processes.,

At EY, you'll have the opportunity to shape a career that aligns with your unique strengths and aspirations, supported by a global network, inclusive environment, and cutting-edge technology. Your voice and perspective are valued as we strive to enhance EY's capabilities and create a more inclusive working world. Join the EY Parthenon team as the Artificial Intelligence (AI) and Generative AI (GenAI) Leader. This dynamic team focuses on delivering innovative client solutions across various industries, leveraging digital and AI technologies to drive transformation and growth. As the Executive Director of AI & GenAI at EYP, your role involves spearheading the integration of advanced AI solutions to address complex client challenges. Your responsibilities include collaborating with regional teams to identify AI opportunities, design tailored proposals, and lead client workshops to develop AI strategies aligned with business outcomes. Key responsibilities also include architecting end-to-end AI solutions, driving cross-sector innovation, ensuring ethical AI practices, and contributing to AI trends and thought leadership initiatives. To excel in this role, you should possess technical expertise in AI/GenAI lifecycle, proficiency in Python and AI frameworks, consulting acumen, and strong leadership skills. Qualifications for this position include significant experience in AI/data science projects, familiarity with Azure Cloud Framework, and expertise in statistical techniques and machine learning algorithms. Preferred qualifications include a PhD/MS/MTech/BTech in Computer Science or related field, research experience in AI applications, and strategic thinking abilities. Join us to lead AI innovation for Fortune 500 clients, collaborate with multidisciplinary experts, and accelerate your career in a culture of entrepreneurship and continuous learning. EY Global Delivery Services (GDS) offers a diverse and inclusive environment where you can collaborate with global teams and work on impactful projects across various business disciplines. You'll have access to continuous learning opportunities, transformative leadership resources, and a supportive culture that values individual contributions and fosters growth. EY is committed to building a better working world by creating long-term value for clients, promoting diversity and trust, and addressing complex global challenges through innovative solutions. Join us to be part of a team that asks better questions to find new answers and make a positive impact on the world.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. You would be working on: - Developing and implementing Generative AI / AI solutions on Google Cloud Platform - Working with cross-functional teams to design and deliver AI-powered products and services - Developing, versioning, and executing Python code - Deploying models as endpoints in Dev Environment - Having a solid understanding of python - Utilizing deep learning frameworks such as TensorFlow, PyTorch, or JAX - Working on Natural language processing (NLP) and machine learning (ML) - Utilizing Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI, etc. - Providing Generative AI support in Vertex, specifically hands-on experience with Generative AI models like Gemini, vertex Search, etc. Your Profile should include: - Experience in Generative AI development with Google Cloud Platform - Experience in delivering an AI solution on VertexAI platform - Experience in developing and deploying AI Solutions with ML What you'll love about working here: - You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. - You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support via flexible work. - You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,

As an Agentic Thinker and visionary Generative AI Subject Matter Expert (SME) at UBS in Hyderabad, you will lead the design, development, and deployment of cutting-edge generative AI solutions to solve complex business challenges. UBS emphasizes innovation and agility to enhance responsiveness, adaptability, and overall innovation in the workplace. In this role, you will leverage large language models (LLMs), diffusion models, and other generative architectures to drive innovation and act as a technical authority for generative AI. Your responsibilities will include architecting, training, and fine-tuning generative AI models for various applications such as content generation, conversational AI, code automation, and data synthesis. Additionally, you will lead research and development initiatives to enhance model performance, efficiency, and alignment with business objectives. You will collaborate with product, engineering, and business teams to integrate generative AI into workflows and translate business requirements into technical specifications for generative AI use cases. Moreover, you will optimize generative models for latency, cost, and scalability, deploy models on cloud platforms and edge devices, and implement safeguards to mitigate risks such as bias and misinformation while ensuring compliance with data privacy regulations and ethical AI guidelines. As part of the Mainframe & Midrange Stream team in India, you will work on Mainframe and Midrange Gen AI Journey, aligning with UBS AI elements and the Emerging Technology and Modernization Team. Your expertise should include a master's or PhD in Computer Science, Machine Learning, or a related field, along with at least 5 years of experience in AI/ML development with a focus on generative AI. You should have a proven track record of deploying generative AI solutions in production environments, deep expertise in generative architectures such as GPT and Transformers, proficiency in Python, PyTorch/TensorFlow, and cloud platforms, as well as experience with NLP tools and vector databases. Preferred skills include knowledge of multimodal AI, reinforcement learning, and familiarity with AI ethics frameworks. UBS, as the world's largest and truly global wealth manager, operates through four business divisions and has a presence in over 50 countries. If you are passionate about driving innovation, solving complex business challenges with generative AI, and being part of a diverse and inclusive culture that values collaboration and empowerment, UBS is the place for you. Join us to grow, learn, and make a difference in a supportive and inclusive environment.,

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaboration with sales and business development teams to create technical proposals, solution designs, and architecture diagrams for Sales Qualified Leads (SQLs) will also be part of your role. Additionally, you will work as an individual contributor when necessary, focusing on developing key components of solutions to accelerate delivery and establish best practices. Your responsibilities will extend to researching, designing, and implementing machine learning and deep learning models, including fine-tuning and deploying LLMs like GPT and BERT for production use cases. Building NLP pipelines and retrieval-augmented generation (RAG) systems using tools such as LangChain, LangGraph, and vector databases like FAISS, Pinecone, and Weaviate will also be crucial. You will be expected to apply statistical techniques to feature engineering, model evaluation, and performance optimization, ensuring adherence to code quality, testing, CI/CD, and documentation standards. Staying up-to-date with the latest advancements in AI/ML and proposing innovative solutions will be essential. Conducting code reviews, promoting peer learning, and fostering a strong engineering culture will also be part of your responsibilities. To qualify for this role, you should hold a Bachelors, Masters, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Additionally, you should have at least 7 years of hands-on experience in AI/ML model development and deployment. Proven expertise in leading technical teams and delivering production-grade AI/ML solutions is required. Strong architectural skills with experience in designing end-to-end solutions involving cloud, APIs, and ML models are essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is necessary, along with hands-on experience in NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs, as well as building GenAI solutions, is expected. Familiarity with tools like LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone) will be advantageous. A solid understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to utilize them, experience deploying models and services using REST APIs, Docker, and CI/CD pipelines, and exposure to cloud platforms such as AWS, GCP, or Azure are highly desirable. Excellent analytical thinking, problem-solving, and communication skills will be crucial for success in this role.,

As a Support Engineer in our AI Enablement team at InfoPark, Cochin, you will be responsible for bridging the gap between AI technology and customer support operations in the homeowners insurance domain. Your role will involve training and deploying AI models to automate support tasks, optimizing intelligent tools for underwriting and claims workflows, and enhancing customer and agent interactions across digital channels while also supporting existing manual tasks. Your key responsibilities will include preparing, labeling, and validating underwriting and claims support data for AI model training, collaborating with AI engineers to automate routine tasks, monitoring AI performance in production, and providing feedback for continuous improvement. You will also act as a liaison between the AI development team and customer support teams, onboard support staff on AI-driven tools, and ensure system maintenance and troubleshooting to support the stability of AI tools across platforms. To be successful in this role, you should have at least 2 years of experience in technical support, customer support, or insurance operations, preferably in homeowners insurance. Additionally, you should possess a basic understanding of AI/ML concepts, particularly Natural Language Processing (NLP), and have experience with support platforms like Zendesk, HubSpot, or Salesforce. Strong analytical, troubleshooting skills, and excellent interpersonal and communication skills are also essential. Preferred qualifications include experience in labeling or training datasets for AI/chatbot models, exposure to tools like chatGPT, Gemini, Copilot, knowledge of data privacy practices, compliance standards in the insurance sector, and basic proficiency in Python or SQL for data handling. Join us to play a central role in transforming the insurance industry with AI, collaborate with global teams, work in a modern, innovation-driven environment at InfoPark, Cochin, and enjoy a flexible, inclusive work culture with growth opportunities in AI and insurance technology. This full-time position in Kochi requires a minimum of 2 years of relevant experience, and you should be ready to relocate to Kochi and work from the office immediately. You will report to the Director of AI Operations / Support Automation Lead. Qualifications: Any Graduates, preferably in finance or IT field.,

You will be responsible for developing machine learning applications as per the specified requirements. This will involve selecting appropriate datasets and data representation methods, running machine learning tests and experiments, and utilizing machine learning frameworks such as Keras or PyTorch, along with libraries like scikit-learn. Your role will require excellent communication skills, the ability to collaborate effectively within a team, and outstanding analytical and problem-solving capabilities. Additionally, you will be expected to train and retrain systems when necessary. To be successful in this position, you should have a minimum of 4 years of experience in the AI/ML domain, with specific expertise in Object recognition and Natural Language Processing. Proficiency in visualizing and manipulating large datasets, as well as familiarity with tools such as OpenCV and NLTK, will be highly beneficial.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

As an AI/ML Engineer at our company, you will be part of a dynamic and innovative technology team, responsible for designing, developing, and deploying machine learning models and AI-driven solutions to address real-world challenges. Collaborating with data scientists, software engineers, and product managers, you will contribute to the development of intelligent systems that provide measurable business value. Your key responsibilities will include designing and implementing machine learning algorithms and AI models for various business use cases. You will work with large and complex datasets, performing tasks such as data cleaning, preprocessing, feature engineering, and exploratory analysis. Utilizing tools like TensorFlow, PyTorch, and Scikit-learn, you will train, validate, and optimize models, subsequently deploying them into production using MLflow, Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure. Post-deployment, you will be responsible for monitoring model performance, conducting retraining as necessary, and ensuring the ongoing robustness and accuracy of the models. Collaboration with product and engineering teams will be essential to integrate ML models into real-world applications and platforms. Additionally, staying informed about the latest research, tools, trends, and technologies in AI, ML, and data science will be crucial to your success in this role. As a qualified candidate, you should possess a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field. Strong programming skills in Python and hands-on experience with major ML libraries such as Scikit-learn, TensorFlow, and PyTorch are required. Proficiency in NLP tasks, deep learning image models, and core ML concepts is expected, along with practical experience in developing APIs and working with containerization and deployment tools. Preferred qualifications include experience in computer vision, NLP, or reinforcement learning projects, as well as familiarity with cloud ML services and open-source ML/AI projects. A solid understanding of CI/CD pipelines, ML model lifecycle, and deployment workflows will be advantageous. Join our team to work on impactful AI/ML projects, collaborate with passionate engineers and data scientists, and gain exposure to cutting-edge tools, open-source models, and enterprise-grade cloud services. Embrace opportunities for continuous learning, innovation, and career growth in a supportive and dynamic work environment with full-time employment benefits, including health insurance, paid sick time, and the flexibility of working from home.,

As an AI/ML Engineer, you will be a valuable member of our team, contributing to the development of intelligent systems that harness the power of machine learning and artificial intelligence. Your primary responsibilities will include designing, creating, and implementing machine learning models to address a variety of use cases, such as prediction, classification, NLP, and computer vision. You will collaborate closely with diverse teams to deliver innovative solutions that tackle real-world challenges effectively. Your key responsibilities will involve: - Designing and implementing machine learning models and algorithms for different applications. - Analyzing and preprocessing extensive datasets to establish resilient training pipelines. - Staying abreast of the latest advancements in AI/ML through research and integrating relevant techniques into projects. - Training, fine-tuning, and optimizing models to ensure high performance and scalability. - Deploying models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, GCP, Azure). - Working alongside software engineers, data scientists, and product teams to seamlessly integrate AI/ML solutions into applications. - Monitoring model performance in production, continuously iterating for enhancements, and documenting design decisions, code, and models for transparency and reproducibility. Preferred qualifications for this role include: - Proficiency in NLP libraries (e.g., Hugging Face Transformers, spaCy) or computer vision tools (e.g., OpenCV). - Familiarity with deep learning architectures like CNNs, RNNs, GANs, or transformer models. - Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker). - Previous contributions to open-source AI/ML projects or publications in relevant conferences/journals. If you are passionate about AI/ML technologies and eager to work on cutting-edge solutions that make a meaningful impact, we encourage you to apply for this exciting opportunity to join our dynamic team.,

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through various testing methods. You will collaborate closely with data scientists, software engineers, and other team members to enhance the performance and usability of AI applications. Your responsibilities will include designing and executing detailed test plans, conducting rigorous tests on AI-based applications, identifying and reporting defects, developing automated test scripts, preparing test data, performing different types of testing, and contributing to the improvement of QA processes and testing frameworks. You will need a Bachelor's degree with 2+ years of relevant experience or a Master's degree with 1+ year of relevant experience. Strong knowledge of AI technologies, machine learning frameworks, and NLP is essential, along with excellent English communication skills. Being a cross-functional, detailed, organized, and proactive teammate who is willing to accept feedback and implement changes promptly is crucial for success in this role. Additionally, you should be comfortable working in an Agile development environment, have a curiosity for software installation and configuration, and possess strong research skills. Preferred qualifications that set you apart include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI-based applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position with a day shift schedule that requires in-person work at Matrix Tower, Pune, India.,

As an Enterprise Architect & AI Expert, your role will involve defining and maintaining the enterprise architecture framework, standards, and governance. You will align IT strategy with business goals to ensure architectural integrity across systems and platforms. Leading the development of roadmaps for cloud, data, application, and infrastructure architectures will be a key responsibility. It will also be crucial to evaluate and select technologies, platforms, and tools that align with enterprise goals. You will be responsible for designing and implementing AI/ML solutions to solve complex business problems. Leading AI initiatives such as NLP, computer vision, predictive analytics, and generative AI will be part of your duties. Collaborating with data scientists, engineers, and business stakeholders to deploy AI models at scale will be essential. Ensuring ethical AI practices, data governance, and compliance with regulatory standards will also be critical. In terms of leadership and collaboration, you will act as a strategic advisor to senior leadership on technology trends and innovation. Mentoring cross-functional teams, promoting architectural best practices, and facilitating enterprise-wide workshops and architecture review boards will be part of your role. To qualify for this position, you should have a Bachelors or Masters degree in Computer Science, Engineering, or a related field. You should possess 14+ years of experience in enterprise architecture, with at least 3 years in AI/ML domains. Proven experience with cloud platforms such as AWS, Azure, GCP, microservices, and API management is required. Strong knowledge of AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps practices is essential. Familiarity with data architecture, data lakes, and real-time analytics platforms is also expected. Excellent communication, leadership, and stakeholder management skills are necessary for this role. Mandatory skills for this position include experience in designing GenAI and RAG architectures, familiarity with AWS, Vector DB - Milvus (preferred), OpenAI or Claude, LangChain, and LlamaIndex. Thank you for considering this opportunity. Siva,

As a Machine Learning Developer with 1 to 3+ years of experience, you will be an integral part of our innovative team dedicated to designing, developing, and deploying machine learning models and algorithms that power our products and solutions. Your responsibilities will include collaborating with cross-functional teams such as data scientists, software engineers, and product managers to create scalable and efficient machine learning solutions. Your duties will encompass various aspects of machine learning development, including designing, implementing, and optimizing machine learning models and algorithms to address complex business challenges. You will be involved in preprocessing and analyzing large datasets to ensure data quality, consistency, and relevance for training models. Additionally, feature engineering and model evaluation using appropriate metrics will be key components of your role. Collaboration with software engineers to deploy models into production environments, focusing on scalability and reliability, will be a crucial part of your responsibilities. Staying abreast of the latest advancements in machine learning, AI, and data science to implement cutting-edge techniques and tools will be essential. Furthermore, you will work closely with data scientists, software developers, and product teams to integrate machine learning capabilities into various products and services. Your required skills and qualifications include 1 to 3+ years of hands-on experience in machine learning, data science, or a related role, as well as a strong background in handling large datasets and familiarity with SQL and NoSQL databases. Experience in developing, training, and deploying machine learning models, including regression, classification, clustering, and deep learning techniques, is essential. Excellent verbal and written communication skills, the ability to work effectively in a team-oriented environment, and a passion for continuous learning and improvement are also crucial attributes. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure, along with proficiency in natural language processing (NLP), computer vision, or reinforcement learning, will be beneficial. Familiarity with MLOps practices and tools for continuous integration and deployment of ML models is also desirable. This position is based in Indore, Madhya Pradesh, and requires on-site work at various locations in India and globally, including the USA, UK, Australia, and the Middle East. If you are enthusiastic about leveraging your machine learning expertise in a dynamic and collaborative environment, we encourage you to apply from the specified locations.,

Arivon is seeking an Artificial Intelligence (AI) Software Engineer with expertise in generative AI, Natural Language Processing (NLP), and LLM. The ideal candidate should have a minimum of 5 years of experience in NLP and Generative AI and LLM research. The role involves tasks such as language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement learning for language model tuning, and efficient training and inference. Additionally, the candidate should have experience in multilingual and multimodal modeling. The AI Software Engineer should have hands-on experience with Machine Learning (ML), NLP, and Deep Learning (DL) frameworks like PyTorch, Tensorflow, and SFT on LLM. Proficiency in leveraging LangChain for the development and integration of LLMs into various applications is essential. The candidate should demonstrate a strong ability to enhance AI functionalities through innovative applications of natural language processing and understanding. Experience with model quantization or computational optimizations is considered a plus. Familiarity with cloud platforms such as AWS, GCP, and Azure is advantageous, and prior experience in the Healthcare domain is a bonus. The role also involves designing methods, tools, and infrastructure to advance the state of the art in large language models. Responsibilities include deploying, monitoring, and managing ML models in production to ensure high availability and low latency. The candidate will be expected to manage and optimize ML infrastructure, including cloud services, containers, and orchestration tools. A Master's degree in computer science, computer engineering, or a related technical field is required, while a Ph.D. in AI, computer science, data science, or related fields is preferred. Proficiency in programming languages like Python is necessary for this role.,

Key Responsibilities Strategic Leadership: Define and articulate the AI/ML vision and strategy for the company, ensuring alignment with overall business goals. Identify new opportunities to leverage AI/ML to drive innovation, efficiency, and revenue growth. Team Management & Mentorship: Lead, mentor, and grow a high-performing team of data scientists and machine learning engineers. Foster a culture of collaboration, innovation, and continuous learning. Provide technical guidance and career development support to team members. End-to-End Project Ownership: Oversee the entire lifecycle of AI/ML projects, from ideation and requirements gathering to model development, deployment, and monitoring. Ensure projects are delivered on time, within budget, and to the highest quality standards. Technical Architecture & Development: Provide hands-on technical leadership in the design and architecture of scalable and production-ready AI/ML solutions. Stay current with the latest advancements in the field and guide the team in adopting best practices for model development, MLOps, and data governance. Cross-Functional Collaboration: Work closely with product managers, software engineers, and business stakeholders to identify and prioritize AI/ML use cases. Effectively communicate complex technical concepts and project outcomes to both technical and non-technical audiences. Model Governance & Ethics: Establish and enforce standards for model validation, performance monitoring, and ethical AI. Ensure our models are fair, transparent, and compliant with relevant regulations. Required Skills & Qualifications Educational Background: Degree in Computer Science or Maths, Artificial Intelligence, Statistics, or a related quantitative field. Professional Experience: A minimum of 10 years of professional experience in data science and machine learning, with at least 3-4 years in a leadership or management capacity. Proven Expertise: Demonstrated experience in developing and deploying a wide range of machine learning models, including but not limited to deep learning (CNNs, RNNs, Transformers), natural language processing (NLP), computer vision, and reinforcement learning. Technical Proficiency: Expert-level programming skills in Python. Extensive experience with ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Strong experience with cloud platforms (AWS, Azure, or GCP) and their respective ML services (e.g., SageMaker, Azure ML, Vertex AI). Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Proficiency in data manipulation and analysis using SQL and libraries like Pandas and NumPy. Leadership Acumen: Proven ability to lead and inspire technical teams. Excellent project management, communication, and interpersonal skills. Preferred A portfolio of patents or publications in reputable AI/ML journals or conferences. Experience working in a fast-paced, agile environment. Familiarity with big data technologies like Apache Spark or Hadoop. Experience with building and scaling AI solutions for [mention your specific industry, e.g., FinTech, Healthcare, E-commerce].

We are looking for a skilled Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) and AWS cloud services to design, develop, and deploy scalable ML models and pipelines. You will play a key role in building innovative NLP solutions for classification, forecasting, and recommendation systems, leveraging cutting-edge technologies to drive data-driven decision-making in the US healthcare domain. Key Responsibilities: Design and deploy scalable machine learning models focused on NLP tasks, classification, forecasting, and recommender systems. Build robust, end-to-end ML pipelines encompassing data ingestion, feature engineering, model training, validation, and production deployment. Apply advanced NLP techniques including sentiment analysis, named entity recognition (NER), embeddings, and document parsing to extract actionable insights from healthcare data. Utilize AWS services such as SageMaker, Lambda, Comprehend, and Bedrock for model training, deployment, monitoring, and optimization. Collaborate effectively with cross-functional teams including data scientists, software engineers, and product managers to integrate ML solutions into existing products and workflows. Implement MLOps best practices for model versioning, automated evaluation, CI/CD pipelines, and continuous improvement of deployed models. Leverage Python and ML/NLP libraries including scikit-learn, PyTorch, Hugging Face Transformers, and spaCy for daily development tasks. Research and explore advanced NLP/ML techniques such as Retrieval-Augmented Generation (RAG) pipelines, foundation model fine-tuning, and vector search methods for next-generation solutions. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. 6+ years of professional experience in machine learning, with a strong focus on NLP and AWS cloud services. Hands-on experience in designing and deploying production-grade ML models and pipelines. Strong programming skills in Python and familiarity with ML/NLP frameworks like PyTorch, Hugging Face, spaCy, scikit-learn. Proven experience with AWS ML ecosystem: SageMaker, Lambda, Comprehend, Bedrock, and related services. Solid understanding of MLOps principles including version control, model monitoring, and automated deployment. Experience working in the US healthcare domain is a plus. Excellent problem-solving skills and ability to work collaboratively in an agile environment. Preferred Skills: Familiarity with advanced NLP techniques such as RAG pipelines and foundation model tuning. Knowledge of vector databases and semantic search technologies. Experience with containerization (Docker, Kubernetes) and cloud infrastructure automation. Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Job Application Link: https://app.fabrichq.ai/jobs/f29e2342-c5c2-488a-93ca-bd0bbb62d369 Job Summary: Experienced AI Engineer with expertise in machine learning, deep learning, and AI model development. Responsible for designing, implementing, and deploying AI/ML solutions in production environments. Will collaborate with cross-functional teams to develop cutting-edge AI systems that drive business value. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications Optimize and fine-tune AI models for performance, scalability, and efficiency Work with large datasets, including data preprocessing, feature engineering, and model training Implement NLP, computer vision, reinforcement learning, or generative AI solutions based on business needs Collaborate with data engineers to build scalable ML pipelines and integrate AI models into production systems Stay updated with the latest advancements in AI/ML research and apply them to solve business challenges Conduct A/B testing, model validation, and performance monitoring to ensure robustness Work with cloud platforms (AWS, GCP, Azure) and AI/ML tools (TensorFlow, PyTorch, Hugging Face, LangChain, etc.) Mentor junior engineers and contribute to technical decision-making Skills & Requirements Must Have Skills Python programming and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep learning architectures (CNNs or RNNs or Transformers or GANs) Generative AI (Diffusion models, LLM fine-tuning, RAG) NLP (BERT, GPT, LLMs) 3+ years of experience

As an Assistant Professor in Computer Science and Information Science at Intellipaat, you will play a key role in shaping the academic experience of our learners. Your passion for teaching, academic excellence, and commitment to innovation in education will be instrumental in driving the success of our programs. In this role, you will deliver engaging lectures and tutorials, mentor students in their academic projects and research endeavors, and contribute to curriculum design using modern pedagogical methods. You will provide practical exposure to industry-relevant tools and skills, ensuring that our students are well-prepared for the professional world. Additionally, you will actively participate in departmental activities such as exam coordination, paper setting, invigilation, and evaluation of answer scripts. Your involvement in accreditation and quality assurance processes will contribute to enhancing institutional performance and maintaining academic standards. Furthermore, you will have the opportunity to initiate and lead research projects with a focus on innovation and societal impact. Collaborating with academic leadership and fostering interdisciplinary connections both within and outside the institution will be key aspects of your role. To excel in this position, you should hold an M.Tech in Computer Science Engineering or Information Science Engineering with a minimum of 60% marks in both your undergraduate and postgraduate studies. A strong background in teaching or relevant academic experience spanning 14 years is preferred. Proficiency in Python, Data Science, Machine Learning Algorithms, AI, Computer Vision, NLP, and Web development technologies such as HTML, CSS, JS, React, and Node.js (MERN Stack) is essential. Joining Intellipaat offers you the opportunity to work in a rapidly growing EdTech company, where you will be exposed to academic innovation, digital pedagogy, and cutting-edge tech education. You will thrive in a collaborative environment that values research, learning, and leadership development. Continuous career growth is supported through structured faculty training programs and opportunities for upskilling.,

Level AI is a Series C startup based in Mountain View, California, that is dedicated to transforming contact centers into strategic assets to revolutionize customer engagement. The AI-native platform developed by Level AI utilizes cutting-edge technologies such as Large Language Models to extract profound insights from customer interactions. This platform provides actionable intelligence to organizations, enabling them to enhance customer experience and drive growth. Constantly updated with the latest AI innovations, Level AI is recognized as the most adaptive and forward-thinking solution in the industry. We are currently seeking a passionate and motivated Senior Software Engineer who excels at creating impactful solutions, embraces innovation, and harnesses AI tools to enhance productivity and output. At Level AI, you will have the opportunity to innovate, design, develop, and maintain products and features that cater to millions of customers, with a focus on continuously improving customer experience. You will be responsible for owning solutions end-to-end, addressing broadly defined problems by designing and implementing scalable, high-quality solutions. Additionally, you will play a key role in upholding best practices in software engineering, code quality, testing, and operational excellence. Collaboration on architecture with peers to design and evolve new and existing systems is a crucial aspect of this role. As a Senior Software Engineer at Level AI, you will also be encouraged to adopt and leverage AI tools and techniques to enhance engineering workflows, code quality, testing, and delivery speed. You will take bottom-up ownership of the code you write, ensuring production readiness, system stability, and operational excellence. Proactively improving system reliability, scalability, and maintainability, as well as incorporating observability and monitoring into the core design and development process, will be key responsibilities. Operating in an agile environment, you will be tasked with delivering high-quality software with fast feedback loops. To be considered for this role, you should possess a Bachelor's degree or higher in Computer Science, Electronics, or related fields from a tier-1 institution, or equivalent relevant experience with a leading technology company. A minimum of 3 years of backend engineering experience, proficiency in at least one high-level programming language (preferably Python), and hands-on experience with Django or similar frameworks are essential qualifications. A strong understanding of relational databases, data modeling, and REST API design is required, while exposure to machine learning/NLP concepts is advantageous. Strong problem-solving, analytical, and debugging skills, along with a deep understanding of core Computer Science concepts, including Algorithms, Data Structures, Object-Oriented Design, and Databases, are highly valued. Level AI offers competitive compensation based on skills and aptitude. To learn more about this exciting opportunity, please visit [https://hirist.tech](https://hirist.tech).,

The company is an innovative AI-driven organization focused on revolutionizing Real Estate with AI technology. As they continue to grow and reach new heights, they are in search of a detail-oriented and strategic Finance Manager to oversee the financial well-being of the company. As an AI R&D Engineer, you will be responsible for designing, training, fine-tuning, and evaluating large language models for various conversational AI applications. Your role will involve staying updated on the latest developments in LLMs, NLP, and generative AI, as well as proposing and implementing innovative methods to enhance model performance and reliability. Collaboration with product managers, software engineers, and UX designers will be essential to seamlessly integrate AI models into user-facing applications. Additionally, you will develop APIs, tools, and infrastructure for deploying models in production environments, establish evaluation metrics and benchmarks for conversational systems, and continuously monitor model performance for optimization based on user feedback and data-driven insights. Furthermore, you will play a key role in guiding and mentoring junior engineers in applied AI research, engineering best practices, and MLOps. The company encourages a culture of experimentation, excellence, and continuous learning to drive innovation and growth. Qualified candidates should have a minimum of 2 years of experience in AI/ML R&D, with expertise in NLP and LLM technologies such as GPT, LLaMA, Falcon, and PaLM. Strong programming skills in Python, proficiency in ML frameworks like PyTorch or TensorFlow, experience with cloud platforms, containerization, and CI/CD pipelines, as well as the ability to communicate complex ideas effectively to technical and non-technical stakeholders are essential for success in this role. If you are interested in this opportunity, please share your CV at anjali@hirojet.com.,

This role could be based in India, China, Malaysia or Singapore. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based. This is a pivotal role that bridges the gap between advanced AI technologies and delivery of AI use cases of the bank. As a candidate for this position, you will be responsible for designing, optimizing, and managing AI prompts to enhance the performance of language models, ensuring they align with business objectives. Additionally, the role requires analyzing complex datasets to extract actionable insights, supporting strategic initiatives and enhancing operational efficiency. The ideal candidate will possess a unique blend of technical expertise in AI and data analytics. You will be part of the AI squad and work closely with internal staff, clients and 3rd parties. In this role, your key responsibilities will include delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tools of the bank. You will accelerate the delivery of AI use cases for various Business & Functions of the bank with a focus on designing and optimizing AI prompts, analyzing large datasets, collaborating with cross-functional teams, ensuring continuous improvement, and providing documentation and training to team members. As part of your accountabilities, you will be accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank's standards and objectives. You will also be responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements, as well as delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals. You will work with a team of data science analysts and full stack AI developers to ensure all data handling and analysis processes comply with the bank's data privacy and cybersecurity standards. Additionally, you will develop and implement change management plans to ensure successful adoption of AI solutions across the organization and provide training and support to business users to help them understand and leverage AI tools and technologies. Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. You should have software development experience using .Net framework or Java, completed real-world ML, NLP, and DO projects using R or Python, extensive experience in SQL and NoSQL database design, queries, and stored procedures, hands-on experience with Windows Server, Azure, AWS, and Git, proficiency in data visualization tools, strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python), experience with Business Intelligence tools and Decision Support Systems, strong data analysis skills using various tools like Hive, Spark, R, Python, Dremio, MicroStrategy, and Tableau, and proven experience in working with key stakeholders within the business. The ideal candidate should have a Graduate or Master Knowledge Engineering or Data Science education, training in completing real-world ML, NLP, and DO projects using Python, and proficiency in English language. If you are looking for a purposeful career with a bank that makes a positive difference, Standard Chartered is looking for talented individuals like you. Join us in driving commerce and prosperity through our unique diversity and be part of an inclusive and values-driven organization that celebrates differences and advocates inclusion.,

As an AI Software Engineer based in Bangalore, you will play a crucial role in developing innovative AI-driven solutions. Your responsibilities will include designing, implementing, and optimizing AI models, integrating them into software applications, and collaborating closely with data scientists and engineers to build scalable AI-powered products. Key Responsibilities: - Design, develop, and deploy AI and machine learning models for real-world applications. - Utilize large datasets to train and fine-tune models, ensuring high accuracy and efficiency. - Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn. - Develop and maintain AI-driven software applications, integrating models into production environments. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers. - Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP). - Implement MLOps best practices for model versioning, deployment, and monitoring. - Stay updated with the latest AI research, tools, and techniques to enhance AI capabilities. Required Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. - Strong programming skills in Python and Java. - Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. - Knowledge of NLP, Computer Vision, or Reinforcement Learning is a plus. - Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment. - Familiarity with data structures, algorithms, and software development best practices. - Experience with containerization (Docker, Kubernetes) and APIs for model integration. - Strong problem-solving skills and ability to thrive in a fast-paced environment. - Experience with LLMs, Generative AI, or AI-powered automation. - Understanding of AI ethics, bias mitigation, and responsible AI practices. - Knowledge of big data technologies like Hadoop, Spark, or Kafka. Benefits: - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Enjoy a flexible work environment with growth opportunities. - Access to professional development and learning resources.,

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