46 Transformer Models Jobs

Role Overview: You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Assist in the development and implementation of AI models and systems, utilizing techniques such as Language Models (LLMs) and generative AI. - Collaborate with stakeholders to identify business opportunities and define AI project goals. - Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. - Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. - Integrate with relevant APIs and libraries like Azure Open AI GPT models and Hugging Face Transformers to enhance generative AI capabilities. - Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. - Utilize vector databases such as Redis and NoSQL databases for efficient handling of large-scale generative AI datasets. - Implement similarity search algorithms to enable efficient retrieval of information from generative AI outputs. - Collaborate with domain experts, stakeholders, and clients to tailor generative AI solutions based on specific business requirements. - Conduct research on advanced AI techniques to enhance performance and efficiency. - Establish evaluation metrics to assess the quality and relevance of generative AI outputs. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Utilize data engineering skills for data curation, cleaning, and preprocessing for generative AI applications. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Ph.D. is a plus. - Minimum 3-7 years of experience in Data Science and Machine Learning. - Proficiency in programming languages like Python, R, and frameworks such as TensorFlow or PyTorch. - Strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models. - Familiarity with computer vision techniques. - Experience with cloud platforms like Azure, AWS, or GCP for deploying AI solutions. - Knowledge of trusted AI practices ensuring fairness, transparency, and accountability. - Strong collaboration skills with software engineering and operations teams. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills. - Understanding of data privacy, security, and ethical considerations. - Track record of innovation and staying updated with AI research and advancements.,

Have you got what it takes Masters degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (eg, MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (eg, PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization.

As a skilled engineer at SiteRecon, a B2B SaaS platform revolutionizing property measurements for landscapers and snow removal contractors in the $176B US market, you will play a crucial role in evaluating, enhancing, and transforming the computer vision infrastructure. Your expertise will be instrumental in transitioning from traditional CNN architectures to cutting-edge transformer-based models. You will be responsible for model design, training, and optimization to meet the demands of this frontier challenge in computer vision and GIS. You will have access to a vast aerial imagery database with a ground sample distance of 7 cm, covering 500,000+ properties across the U.S. since 2021. Additionally, you will collaborate with a team of 60 annotators mapping thousands of acres daily and have a ready market of 350+ customers for immediate deployment. Leveraging powerful compute resources for rapid model training, you will be at the forefront of solving a constrained problem using the world's highest-resolution aerial imagery to develop scalable templates for automated extraction in GIS applications. Your key responsibilities will include designing and implementing transformer-based architecture for semantic segmentation of aerial imagery, developing efficient image-to-token and token-to-image conversion pipelines, creating and maintaining training datasets, optimizing model training processes for distributed computing environments, implementing efficient inference pipelines for production deployment, and collaborating with the engineering team to integrate new models into the existing infrastructure. To excel in this role, you are expected to have a strong foundation in computer vision and deep learning fundamentals, extensive experience in training transformer models from scratch, expert-level proficiency in PyTorch, experience with ONNX or TensorRT model optimization and deployment, deep understanding of distributed computing and parallel processing, advanced Python knowledge, experience with semantic segmentation tasks, and a proven track record of handling large-scale data processing. This position requires a minimum of 5 years of hands-on deep learning experience, a track record of successfully deploying computer vision models in production, experience with vision transformer architectures, experience optimizing models for production using ONNX/TensorRT, and a background in handling high-resolution satellite/aerial imagery. A Masters/PhD in Computer Science, Machine Learning, or a related field is preferred. Your desired qualities should include a strong mathematical foundation in deep learning concepts, experience with model architecture design and optimization, the ability to conduct independent research and stay updated with the latest developments, excellence in technical documentation and communication, and self-motivation to solve complex technical challenges efficiently. What sets you apart in this role is your experience with vision transformers specifically for segmentation tasks, published research or contributions to open-source computer vision projects, experience with high-performance computing environments, a background in geospatial data processing, hands-on experience with model quantization and optimization using ONNX/TensorRT, and experience deploying optimized models in production environments. Your role is crucial as every day without improved segmentation costs real business opportunities, and we need someone who can think systematically, move fast, and deliver production-ready improvements promptly.,

About us: BDIPlus, a US-based leading transformation consulting and Customer Data Platform (CDP) company, is dedicated to delivering cutting-edge capabilities and solutions that foster the development of enduring competitive advantages. Our innovative solutions showcase our unparalleled proficiency in technology and our deep domain expertise within the Financial Services and Insurance sectors. By combining our exceptional technical skills with a comprehensive understanding of each clients institutional landscape and unique areas for improvement, we empower them to convert data into actionable and well-organized information. This enables precise decision-making, increased efficiency, and accelerated business growth. BDIPlus is currently seeking a Lead Data Scientist for our office located in Bangalore. Job Overview: We are looking for a highly skilled Lead Data Scientist who can define, develop, and scale ML/AI-based modules and features for our product chatCDP.ai using a data-driven approach. chatCDP.ai simplifies the overly complicated process of extracting data, visualizing it, and generating predictions and prescriptions using natural language.** A strong candidate should have a proven track record of building products from 0 to 1 - either as a solopreneur or by leading teams of highly skilled and motivated individuals. Key Responsibilities: Perform in-depth data analysis, statistical modeling, and hypothesis testing to uncover trends and patterns. Develop, validate, and deploy predictive and prescriptive models. Collect, clean, and preprocess structured and unstructured data from multiple sources. Communicate findings and insights through clear visualizations, reports, and presentations. Collaborate with cross-functional teams (engineering, product, business) to implement data-driven solutions. Monitor model performance and continuously improve analytical frameworks. Required Skills and Experience: MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, navigating ambiguous environmentsideally as an early data scientist at a hyper-growth company or research organization. Demonstrated experience in deep learning and transformer models. Prior experience in NLP, large language models, or generative AI. Strong foundation in data structures, algorithms, and software engineering principles. Experience defining, implementing, and operationalizing new product features from scratch. Excellent problem-solving and analytical skills, with a proactive approach to challenges. Ability to move quickly in environments where priorities may shift and definitions may be loose. Ownership mindsetcomfortable picking up new knowledge as needed to get the job done. Pragmatic approach, comfortable shipping iteratively while building toward a long-term vision. Working at BDIPlus offers: A diverse, fun to work with, highly intelligent and innovative team. A competitive salary Standard time off, sick leave, and time off on all national holidays. Medicial benefits Provident Fund An environment where creative thinking is encouraged and innovation is a driving force of everything we do. Join our team and contribute to the development of innovative solutions that make a difference. We offer competitive compensation, a collaborative work environment, and opportunities for professional growth. To apply, please submit your resume and a cover letter highlighting your relevant experience and accomplishments to[HIDDEN TEXT]. Show more Show less

You will be responsible for designing, developing, and deploying deep learning models for various applications in Computer Vision and Natural Language Processing. Your role will involve working extensively with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Transformer models. Conducting research on state-of-the-art deep learning algorithms and applying them to solve complex problems will be a key aspect of your job. You will be required to implement and fine-tune machine learning models using TensorFlow/PyTorch and collaborate with data scientists, researchers, and software engineers to integrate AI solutions into production environments. Optimizing deep learning models for scalability and efficiency, ensuring robust deployment in cloud or edge computing environments, will be among your responsibilities. Moreover, you will work on real-time and offline inference pipelines to deploy deep learning models efficiently. Staying updated with the latest advancements in Deep Learning, AI, and Machine Learning research and applying relevant insights to projects will be crucial. Your tasks will include performing data preprocessing, augmentation, and feature engineering to improve model performance. Developing custom loss functions, optimization techniques, and model architectures to enhance the efficiency of deep learning models will also be part of your role. Writing clean, efficient, and well-documented Python code for implementing and training machine learning models will be essential. In addition, you will conduct experiments, analyze results, and document findings for future reference and improvements. Working on improving model interpretability and explainability for real-world applications and collaborating with teams across different domains to understand business problems and design AI-driven solutions will be expected from you. The ideal candidate for this position should have a strong understanding of Deep Learning concepts and architectures. Expertise in Computer Vision (CNN, GAN) and NLP (RNN, LSTM, Transformer), proven experience with TensorFlow/PyTorch for training and deploying deep learning models, proficiency in Python, and experience in writing efficient and scalable machine learning code are necessary qualifications. Hands-on experience with model optimization, tuning, and hyperparameter search, solid understanding of mathematical concepts like linear algebra, probability, and optimization techniques, experience with handling large-scale datasets and data preprocessing techniques, familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying deep learning models, strong problem-solving skills, and the ability to think critically in designing AI solutions are also required. Having a research background in Deep Learning is preferred but not mandatory. Experience with distributed computing and parallel processing frameworks is a plus, as well as familiarity with MLOps and Model Deployment Pipelines.,

Senior Data Scientist - Information Retrieval & Generative AI Location: Remote (India) | Type: Full-time | Experience: 5-7+ years Transform How the World Discovers Information Join our AI revolution in transforming how billions discover and interact with information. As a Senior Data Scientist, youll architect next-generation search and retrieval systems that power intelligent experiences across our platform, directly impacting millions of users worldwide. The Challenge Design and deploy state-of-the-art RAG architectures processing petabyte-scale datasets. Build hybrid dense/sparse retrieval pipelines that serve millions of daily queries with sub- second latency. Your models will directly impact product strategy and drive measurable business outcomes for our global user base. • What Youll Do Strategic Leadership Drive end-to-end ML product development from research to production deployment Collaborate with engineering and product teams to translate business requirements into scalable data solutions Mentor junior data scientists and establish best practices for model development Lead breakthrough research in information retrieval and generative AI Technical Execution Design and optimize transformer-based architectures for information retrieval and generation Implement advanced chunking strategies for semantic search and RAG applications Build and maintain real-time ML pipelines processing millions of documents Develop production-ready models with proper monitoring, versioning, and deployment strategies Innovation & Research Research and prototype cutting-edge AI techniques in search, retrieval, and natural language processing Design large-scale experiments and A/B tests to validate model performance and business impact Stay current with latest developments in GenAI and contribute to open-source communities Present findings to executive leadership and influence strategic product decisions What Were Looking For Essential Skills ¢ ¢ ¢ ¢ ¢ Advanced Python Programming with expertise in pandas, scikit-learn, TensorFlow/PyTorch SQL & Database Management for complex query optimization and data pipeline design Machine Learning & Deep Learning with track record of shipping ML products to production Statistics & Probability including advanced statistical modeling and hypothesis testing 5-7+ years of data science experience with 2+ years in senior roles Specialized Expertise ¢ Information Retrieval Systems - Search algorithms, ranking, and relevance optimization ¢ ¢ Generative AI & LLMs - Prompt engineering, fine-tuning, and deployment at scale Content Chunking Strategies - Document processing and semantic segmentation for RAG systems ¢ ¢ Vector Databases - Hands-on experience with Pinecone, Weaviate, FAISS, or OpenSearch Transformer Models - Deep understanding of BERT, GPT, T5 architectures Advanced Technical Skills ¢ ¢ ¢ ¢ ¢ RAG (Retrieval-Augmented Generation) implementation and optimization Named Entity Recognition (NER) at enterprise scale Cloud platforms (AWS, Azure, GCP) for ML deployment MLOps tools and practices (Docker, Kubernetes, model registries) A/B testing and experimental design methodology Education & Experience ¢ Masters degree in Computer Science, Statistics, Mathematics, or related quantitative field ¢ ¢ Demonstrated experience with production ML systems serving millions of users Strong publication record or open-source contributions (preferred) Why Join Us? ¢ ¢ ¢ ¢ Cutting-edge Technology: Work with the latest in AI/ML, from transformer architectures to vector databases Global Impact: Your work will be used by millions of users across different continents Career Growth: Clear advancement paths with mentorship and leadership opportunities Innovation Freedom: 20% time for personal research projects and experimentation Our Interview Process 1. Recruiter Screen (30 min) - Background, motivation, and culture fit 2. Technical Screen (60 min) - Live coding in Python/SQL, ML fundamentals 3. Technical Deep Dive (90 min) - Advanced ML/AI questions, system design Ready to Shape the Future of AI? If youre passionate about pushing the boundaries of information retrieval and generative AI, we want to hear from you. Join a team where your expertise will drive innovation and create meaningful impact on a global scale. Apply now and help us build the next generation of intelligent search and discovery systems. Send in your resume to Mr.Praveen at Praveen.kunta@techfabric.com We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. Application Requirements: - Resume/CV highlighting relevant ML/AI experience - Cover letter explaining your interest in information retrieval and generative AI - Links to relevant projects, publications, or GitHub repositories (preferred) - Portfolio demonstrating production ML systems or research contributions

You are a highly skilled and motivated Robot AI Engineer with expertise in Natural Language Processing (NLP) and Action Mapping for autonomous robots. Your role involves developing and integrating cutting-edge AI and NLP models to enable robots to understand and execute natural language commands, as well as engage in meaningful interactions. As a senior team member, your focus will be on building dialogue systems, intent recognition, and command understanding by combining advanced language models with robotic action execution, resulting in intelligent and intuitive robotic systems. Your responsibilities include designing, implementing, and optimizing NLP algorithms to facilitate robots in understanding and processing complex human language. You will work on developing Transformer-based models, dialogue systems, and conversational AI to enhance robots" capabilities in engaging with users. Additionally, you will apply sequence models, Speech Recognition (ASR), and Text-to-Speech (TTS) systems to enable voice-based command understanding and responses. Furthermore, you will develop and integrate RAG (Retrieval-Augmented Generation) models to enhance robots" contextual understanding and accuracy in responses. Your role also involves enabling intent recognition for robot action mapping, contributing to multilingual NLP systems, collaborating with robotics teams, implementing Deep Learning Frameworks, and staying updated with advancements in NLP, AI, and robotics. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field, along with at least 5 years of experience in NLP, AI systems, and robotic action mapping. Proficiency in Transformer models, deep learning frameworks, Speech Recognition, Text-to-Speech systems, dialogue systems, and command understanding is essential. Strong programming skills in Python and familiarity with libraries like spaCy, NLTK, Transformers, and OpenAI GPT are required. Preferred qualifications include a PhD in NLP, AI, or Robotics, published work in major conferences, experience with Reinforcement Learning, ROS middleware, and contributions to open-source projects. This position is based in Navi Mumbai (Ghansoli) with a work-from-office policy for 5 days a week.,

As a Senior Data Scientist at EY, you will be part of a dynamic team where you can leverage your unique skills and experience to contribute to the development and implementation of cutting-edge AI solutions. With a minimum of 4 years of experience in Data Science and Machine Learning, preferably with expertise in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, you will play a key role in designing and implementing AI models and systems. Your responsibilities will include collaborating with stakeholders to identify business opportunities, staying updated with the latest advancements in generative AI techniques such as LLMs, and utilizing tools like Azure Open AI GPT models and Hugging Face Transformers to enhance generative AI capabilities. Additionally, you will be responsible for implementing end-to-end pipelines for generative AI projects, conducting research on advanced AI techniques, and ensuring compliance with data privacy, security, and ethical considerations in AI applications. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with a Ph.D. being a plus. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch is required, along with a strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Experience with cloud platforms such as Azure, AWS, or GCP and expertise in data engineering, trusted AI practices, and collaboration with software engineering and operations teams are also essential. In addition to the core requirements, having skills in optimization tools, DevOps, MLOps practices, CI/CD pipelines, infrastructure as code principles, and monitoring and logging tools will be advantageous. By joining EY, you will have the opportunity to contribute to building a better working world by driving innovation, staying updated with the latest AI research, and collaborating effectively with stakeholders at various levels. EY is dedicated to creating long-term value for clients, people, and society while building trust in the capital markets through diverse teams in over 150 countries. With a focus on assurance, consulting, law, strategy, tax, and transactions, EY teams aim to find new answers to the complex issues facing the world today.,

We are seeking a motivated and inquisitive AI/ML Engineer with a specific interest in Generative AI to become part of our forward-thinking team. Your primary responsibility will involve creating, refining, and implementing intelligent models and systems that address real-world challenges by leveraging cutting-edge technologies in artificial intelligence, machine learning, and large language models (LLMs). This role presents an exceptional opportunity for individuals at the beginning of their careers to advance within the dynamic realm of AI/ML and generative AI innovations. Your duties will include assisting in the development, training, and assessment of machine learning and deep learning models. You will also be tasked with optimizing pre-trained Large Language Models (LLMs) like GPT, BERT, LLaMA, among others, for specified applications. Additionally, your role will encompass working with datasets through collection, preprocessing, augmentation, and analysis, as well as contributing to model optimization, deployment (e.g., via APIs), and performance monitoring. You will be entrusted with overseeing all aspects of implementation, quality assurance, continuous integration and deployment, and application monitoring. The ideal candidate will possess a solid grasp of machine learning, deep learning, and generative AI principles, along with proficiency in Python and relevant libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy. Exposure to NLP techniques, transformer models (e.g., GPT, BERT), model training, evaluation metrics, deployment pipelines, data preprocessing, cleaning, visualization methods, and hands-on experience with SQL databases are essential skills required for this role. Desirable qualifications include hands-on experience with Generative AI models (e.g., GPT, DALL-E), familiarity with LangChain, LlamaIndex, or other LLM frameworks, experience with Hugging Face, OpenAI, or similar APIs, understanding of prompt engineering and fine-tuning strategies, exposure to MLOps tools (e.g., MLflow, Weights & Biases, DVC), participation in AI/ML competitions (e.g., Kaggle), or contribution to open-source projects. Candidates must hold a B.Tech, M.Tech, or MCA degree, possess 1-2 years of professional or academic project experience in AI/ML, and preferably have completed relevant certifications, courses, or formal training. A solid foundation in mathematics related to data science (probability, statistics, linear algebra, etc.), experience in developing end-to-end ML, AI, or Generative AI projects, excellent oral and written communication skills, and an adaptable mindset suited for a startup environment are also key qualifications for this position.,

Senior Data Scientist I Are you interested in working with data and analytics to solve problems Are you interested in bringing your Gen AI, Machine Learning and NLP expertise to projects About our Team: Data Science Health Content Operations team works with a focus on Generative AI, Machine Learning, Natural Language Processing, and Statistical techniques. It helps in building state of the art applications for the health sciences domain. About the Role: As a Senior Data Scientist, you will play a pivotal role in the development and deployment of cutting-edge Generative AI models and solutions. You will be responsible for building, testing, and maintaining our Generative AI, Retrieval Augmented Generation (RAG) and Natural Language Processing (NLP) solutions. This includes evaluating their performance and implementing guardrails to ensure ethical and responsible use of AI technologies. You will engage in the entire life cycle of data science projects, including design, implementation, evaluation, productionisation and ongoing enhancement. A key focus of your work will be on the customization and optimization of existing RAG pipelines to support applications that involve content ingestion, machine translation, and contextualized information retrieval. Experience with end-to-end model deployment, including leveraging AI agents, Model Context Protocol (MCP) for effective context management, and cloud platforms such as AWS (including AWS Bedrock), Azure, or similar services, is a strong plus.Your deliverables will include efficient, production-ready Python code, with experience in Java considered an asset. You will collaborate closely with Subject Matter Experts (SMEs) and the technology team to deploy and operationalize our data science pipelines. This role requires a strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python. Responsibilities: Collect data, perform data analysis, develop models, define quality metrics, and conduct quality assessments of models, along with regular presentations to stakeholders. Create production-ready Python packages for each component of data science pipelines (e.g., pre-processing, model inference, evaluation) and coordinate their deployment with the technology team. Design, develop, and deploy Generative AI models and solutions that meet specific business needs. Expertise in Retrieval Augmented Generation (RAG) optimization and customization of existing RAG pipelines to meet specific project needs. Proficiency in large-scale data ingestion, preprocessing, and transformation of multilingual content to ensure high-quality inputs for downstream models. Build AI Agentic models with RAG pipeline. Fine-tune large language models (LLMs) and transformer models to enhance accuracy and relevance. Implement guardrails and evaluation mechanisms to ensure responsible and ethical AI usage. Conduct rigorous testing and evaluation of AI models to ensure high performance and reliability. Integrate data science components and ensure end-to-end quality assessment. Maintain the robustness of data science pipelines against model drift and ensure consistent output quality. Establish a reporting process for pipeline performance and develop automatic re-training strategies for existing pipelines. Work collaboratively with cross-functional teams to integrate AI solutions into existing products and services. Mentor junior data scientists and contribute to the knowledge-sharing culture within the team. Stay up-to-date with the latest advancements in AI, machine learning, and NLP technologies. Requirements: Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field. 7+ years of relevant applied experience in data science, with a focus on Generative AI, NLP, and machine learning. Proficiency in Python for data analysis, model development, and deployment. Strong experience with transformer models and fine-tuning techniques for large language models (LLMs). Proficiency in Generative AI technologies, including utilizing LLMs via API access, LLM evaluation tools, and prompt engineering. Knowledge of various RAG pipelines and their practical implementation. Experience building Agentic RAG systems is strong requirement. Experience with AI agent management frameworks such as LangChain, AutoGen, Haystack, MCP, or similar tools. Experience with advanced algorithms in deep learning, neural networks, reinforcement learning, and transfer learning. Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing. Understanding of AI ethics, guardrail implementation, and evaluation metrics. Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines. Proficiency in data visualization tools and techniques. Experience with version control systems (e.g., GitLab or GitHub), Jira, and working in an Agile environment. Proficient in using .nix systems, open-source software, Jupyter Notebook, libraries, and cloud computing. Excellent problem-solving and analytical skills, with strong attention to detail. Strong communication skills and the ability to work effectively in a team-oriented environment. Work in a Way That Works for You: We promote a healthy work/life balance and provide various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You: We offer comprehensive benefits to support your health and well-being, including: Health insurance for you and your family. Enhanced health insurance options at competitive rates. Group life insurance for financial security. Group accident insurance for protection against accidental death and permanent disability. Flexible working arrangements for work-life balance. Employee assistance programs for personal and work-related support. Medical screenings prioritize your well-being. Modern family benefits, including maternity, paternity, and adoption support. Long-service awards to recognize dedication. New baby gifts to celebrate parenthood. Subsidized meals at specific locations. Various paid time-off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays. Free transportation for home-office-home travel in select locations. About Business: We are a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. At Elsevier, your work contributes to addressing the world's grand challenges and creating a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world ----------------------------------------------------------------------- We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. .

Postman is the world's leading API platform, used by more than 35 million developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration, enabling users to create better APIs, faster. The company is headquartered in San Francisco and has an office in Bangalore, where it was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Postman is the world's leading collaboration platform for API development. Postman's features simplify each step of building an API & streamline collaboration to help create better APIs faster. More than 30 million developers & 500,000 organizations worldwide use Postman today, and we continue to strive humbly towards our mission of 100 million connected developers & serving companies as they seek to innovate in an API-first world. Our customers are doing more and more astounding things with the Postman product every day, and as a result, we are growing rapidly. Are you excited about AI's potential Do you want to work toward the goal of using AI to help millions of developers be more effective at their jobs At Postman, one of our goals is to create net new developers in the world, and we believe products like Postbot, an AI Assistant for our users, will play a vital role in this journey. To help us with this, we're seeking exceptional engineers to join us. As an AI Software Engineer, you will work with a talented team of engineers, researchers, design and Product teams, to design and implement key components on developing and implementing AI-powered products and workflows into Postman's product. Utilize your expertise to develop new agent architectures, design and manage data pipelines, run evaluations, and propose solutions to enhance output quality. Embrace uncertainty with confidence by prioritizing meaningful machine-learning experiments that enhance our products. Take the initiative to lead projects collaboratively, ensuring they flourish from inception to completion. Design, monitor, and analyze experimental results efficiently. Document findings thoroughly, conduct ablation studies, and effectively transform data into actionable insights. Collaborate with cross-functional teams to deliver product features on time across Postman's product stack. Ship with high intent and work with the team to improve your ability to iterate and ship AI-powered features over time. You might be a good fit if you have 6+ years of experience in AI/ML research and development, a Masters or Bachelor's degree in Computer Science, AI, Machine Learning, or a related field. Have expertise in improving our models and building evaluations for model capability improvement. Hands-on experience with LLMs, Transformer models, and generative AI techniques. Working experience in retrieval systems, inference engines. The ability to design and run ML research experiments, engineer prototypes, and build infrastructure and tooling for processing data. Strong programming skills in Python and knowledge of ML libraries like Scikit-learn, LLM Model API, or LLM frameworks. A "validate first and perfect later" mentality and curiosity about how things work inside the hood. Self-driven, self-motivated, able to work independently and in a team. Published work at top conferences such as ICLR, ICML, NeurIPS, ACL, and EMNLP would be a nice to have, as well as open-source projects. At Postman, we embrace a hybrid work model. For all roles based out of San Francisco Bay Area, Boston, Bangalore, Noida, Hyderabad, and New York, employees are expected to come into the office 3-days a week. Our Values include creating with curiosity, transparency, focusing on specific goals, an inclusive work culture, and delivering the best products we can.,

As a crucial member of the team, you will play a pivotal role in various machine learning initiatives, contributing to the development of conversational AI bots, RAG system, and traditional ML problem-solving for the observability platform. Your responsibilities will involve both operational and engineering tasks such as building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Within the LLM domain, you will be tasked with fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. This role offers you the opportunity to significantly impact AI-driven solutions in diverse domains, pushing the boundaries of machine learning and embracing diverse challenges along the way. To excel in this position, you should demonstrate proficiency in software engineering design practices, experience with transformer models and text embeddings, a track record of deploying and managing ML models in production environments, and familiarity with common ML/NLP libraries like PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. You should have over 5 years of experience developing production-grade applications in Python, proficiency in Kubernetes and containers, and familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages, along with experience in designing, developing, and testing scalable distributed systems, is essential. Moreover, knowledge of message broker systems (e.g., Kafka, RabbitMQ), application instrumentation and monitoring practices, ML workflow management tools like AirFlow and Sagemaker, and fine-tuning generative AI models for enhanced performance will be valuable. Designing AI Agents for conversational AI applications, experimenting with new techniques for observability use cases, building and maintaining inference pipelines, managing deployment and model versioning pipelines, and developing tooling for continuous model validation in production environments are key aspects of this role. Bonus points will be awarded if you have familiarity with the AWS ecosystem or past experience working on projects involving the construction of agentic language chains. Please note that visa sponsorship is not available for this position. At our company, fostering a diverse, welcoming, and inclusive environment is a priority. We encourage individuals from different backgrounds and abilities to bring their authentic selves to work, celebrating the diverse paths that brought them to us. Our mission is to create the best products and company possible, inspired by the unique experiences and perspectives of our team members. We value candidates who connect with our mission and values beyond just meeting requirements. If you need a reasonable accommodation during the application or recruiting process, please contact resume@newrelic.com. We believe in empowering all team members to achieve success through a flexible workforce model that supports various work environments, including fully office-based, fully remote, or hybrid setups. As part of our hiring process, all hires must verify identity and eligibility to work, including completing employment eligibility verification. A criminal background check is required due to our responsibility for safeguarding customer data. Qualified applicants with arrest and conviction records will be considered based on individual circumstances and applicable laws. For more information, review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy.,

You are a highly skilled and innovative Senior Python Developer specializing in Generative AI and MLOps tools such as Argo Workflows and Kubernetes. Your role involves designing and deploying scalable GenAI applications, constructing robust pipelines, and integrating AI models into production environments. As a Python Developer, you will be responsible for designing, developing, and fine-tuning generative models like GPT, LLAMA, Mistral, FLAN, and T5. You will also build and optimize Retrieval-Augmented Generation (RAG) pipelines, implement model evaluation frameworks, and ensure responsible AI deployment. Your expertise in writing efficient, reusable, and testable Python code for AI/ML applications will be crucial in collaborating with data scientists to integrate models into scalable systems and maintaining high-performance Python applications for real-time inference. In the realm of MLOps and Infrastructure, you will develop and manage workflows using Argo Workflows for model training and deployment. Additionally, you will containerize applications using Docker, orchestrate deployments with Kubernetes, and monitor and optimize GPU usage on cloud platforms like AWS, Azure, and Databricks. Collaboration and Delivery are key aspects of your role, as you will work cross-functionally with engineering, product, and data teams to deliver AI solutions. You will interpret research papers and model architecture diagrams to guide implementation, ensuring timely delivery of AI projects with high reliability and scalability. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, AI/ML, or a related field, with at least 4+ years of experience in Python development and data science. Hands-on experience with LLM APIs, Hugging Face, transformer models, and proficiency in deep learning frameworks like PyTorch, TensorFlow, and Keras are essential. A strong understanding of Argo Workflows, Kubernetes, containerization, cloud platforms, GPU optimization, NLP tools, SQL, and Spark will be advantageous. Preferred experience includes fine-tuning models using LoRA, QLoRA, and quantization techniques, building multi-agent systems, multimodal applications, and knowledge of AI safety, ethics, and compliance. Join Tredence, a leading analytics partner dedicated to transforming data into actionable insights for Fortune 500 clients. With a global presence and a mission to drive unparalleled business value through advanced AI and data science, we welcome you to embark on this innovative journey with us.,

As an established global provider of business process and technology management services, Sutherland offers a wide range of analytics-driven solutions to support the entire customer lifecycle. With over 30 years of experience, we have been helping customers across various industries achieve greater agility through transformed and automated customer experiences. We are currently looking for a skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. In this role, you will be responsible for managing cross-functional teams of AI developers, data scientists, and MLOps engineers to build scalable, production-grade AI systems including Generative AI, Agentic AI, and Transformer-based models. Your responsibilities will include managing day-to-day execution of AI projects, ensuring timely delivery, quality, and alignment to architectural design. You will lead AI developers and collaborate closely with data scientists, BAs, and MLOps engineers to build end-to-end AI workflows. Additionally, you will translate architectural blueprints into executable components, prototypes, and production-ready services. You will oversee the development of GenAI applications, RAG pipelines, and agent-based solutions using frameworks like LangChain and LangGraph. Supervising the integration of AI services with business systems and ensuring model outputs are usable, interpretable, and reliable will also be part of your role. Monitoring project KPIs, technical progress, and resource allocation, and escalating risks and blockers as needed will be essential. You will review code, support reusable component development, and enforce engineering best practices. Moreover, coaching and mentoring junior engineers and analysts within the AI team will also be expected from you. To qualify for this role, you should have at least 7 years of experience in AI/ML engineering or software development, with 2-3 years in team leadership roles. Experience delivering projects using GenAI, LLMs, or Transformer models is required. A solid understanding of prompt engineering, APIs, data preprocessing, and model integration is essential. Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorch, HuggingFace, LangChain, etc.) is necessary. Exposure to vector databases and RAG architectures for enterprise knowledge retrieval is beneficial. Strong organizational, problem-solving, and team leadership skills are a must. A Bachelors or Masters degree in computer science, AI, or related technical field is preferred. Preferred skills for this role include experience working in agile delivery environments with CI/CD pipelines and MLOps tools, familiarity with multi-agent orchestration platforms, LLMOps, or auto-evaluation frameworks, prior experience in AI delivery within telecom, BFSI, healthcare, or manufacturing domains, and the ability to interface with business stakeholders to gather requirements and validate outcomes.,

About Zscaler Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the worlds largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world&aposs largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today&aposs cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. Responsibilities We&aposre looking for an experienced Director of Software Engineering to join our ZDX team. This role is critical to ensuring that ZDX delivers a fast, reliable, and user-centric experience across the globe. Youll shape the strategy, grow and coach teams, and work cross-functionally to drive improvements in product performance and operational supportability. Reporting to the Vice President, Software Development Engineering you&aposll be responsible for: Defining and executing the performance and supportability roadmap for ZDX, aligning with customer needs and business goals Building and scaling high-performing engineering and product teams focused on telemetry, root cause analysis, and end-to-end service quality Driving a customer-first culture by advocating for frictionless experiences, rapid incident resolution, and intelligent insights Partnering with cross-functional leaders in product, support, engineering, and SRE to close feedback loops and accelerate issue resolution Bringing clarity to complex problems, prioritizing areas of impact and simplifying the support process through automation and AI What We&aposre Looking For (Minimum Qualifications) 14+ years of experience in product engineering, platform engineering, or cloud/SaaS infrastructure and at least 5 in a leadership role Proven track record of building and scaling distributed systems with a focus on performance and reliability Strong technical foundation and the ability to deep dive into architecture, telemetry pipelines, and incident workflows Experience leading multi-functional teams and partnering with support and SRE to deliver customer-impacting solution Experience building, deploying and tuning Machine Learning Models and algorithms What Will Make You Stand Out (Preferred Qualifications) Experience with digital experience monitoring (DEM), AIOps, or customer support observability tools Experience with networking protocols (L4 to L7) Experience building systems with Transformer Models and LLMs At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Benefits Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! Learn more about Zscalers Future of Work strategy, hybrid working model, and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. 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At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Your technical responsibilities include contributing to the design and implementation of state-of-the-art AI solutions, assisting in the development and implementation of AI models and systems, collaborating with stakeholders to identify business opportunities, staying updated with the latest advancements in generative AI techniques, utilizing generative AI techniques to develop innovative solutions for enterprise industry use cases, integrating with relevant APIs and libraries, implementing and optimizing end-to-end pipelines for generative AI projects, utilizing databases and search algorithms, collaborating with domain experts, conducting research and evaluation of advanced AI techniques, establishing evaluation metrics, ensuring compliance with data privacy, security, and ethical considerations, and leveraging data engineering skills. Requirements for this role include a Bachelor's or Master's degree in Computer Science, Engineering, or a related field (Ph.D. is a plus), 3-7 years of experience in Data Science and Machine Learning, knowledge of machine learning, deep learning, and generative AI techniques, proficiency in programming languages and frameworks, familiarity with cloud platforms, expertise in data engineering, knowledge of trusted AI practices, collaboration skills, problem-solving abilities, communication skills, and understanding of data privacy and security considerations. Good to have skills include applying trusted AI practices, utilizing optimization tools and techniques, driving DevOps and MLOps practices, implementing CI/CD pipelines, using infrastructure as code principles, monitoring and logging tools, and collaborating with software engineering and operations teams for efficient AI model integration and deployment. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

Job Summary The Senior AI Engineer will develop and deploy AI products, generating business and scientific insights through advanced data science techniques. This role involves building models using both foundational and cutting-edge methods, processing structured and unstructured data, and collaborating closely with internal stakeholders to solve complex problems in drug development, manufacturing, and supply chain. Key Responsibilities: Hands-on development (70%) of Gen AI applications and ML models (classification, regression, clustering, NLP) to drive actionable insights. Leadership (30%): mentor AI scientists, plan and supervise technical work, collaborate with stakeholders. Work within an agile framework and in cross-functional teams to align AI solutions with business goals. Engage internal stakeholders and external partners for the successful delivery of AI solutions. Qualifications Required: Bachelor&aposs in operations research, mathematics, computer science, or related quantitative field. Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph). Proficiency in Gen AI tools: LLMs/transformer models AWS Bedrock SageMaker LangChain Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch Experience productionizing GenAI services and working with complex datasets. Strong understanding of software development, algorithms, optimization, and scaling. Show more Show less

The primary responsibility of this role involves designing, developing, and implementing generative AI models and algorithms using cutting-edge techniques like GPT, VAE, and GANs. You will collaborate with cross-functional teams to define project requirements in line with business goals. Staying updated with the latest advancements in generative AI, machine learning, and deep learning is crucial for identifying opportunities to enhance our products and services. Additionally, you will be optimizing existing AI models for better performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation, is also a key aspect of this role. Clear and concise documentation will be essential to communicate complex AI concepts to both technical and non-technical stakeholders. Furthermore, you will contribute to establishing best practices and standards for generative AI development within the organization. Providing technical mentorship and guidance to junior team members, ensuring trusted AI practices, and driving DevOps and MLOps practices are also part of the responsibilities. Utilizing tools like Docker, Kubernetes, and Git for building and managing AI pipelines, implementing monitoring and logging tools for AI model performance and reliability, and collaborating seamlessly with software engineering and operations teams for efficient AI model integration and deployment are essential tasks. Familiarity with DevOps and MLOps practices, continuous integration, deployment, and monitoring of AI models will be advantageous. The ideal candidate for this role should have a minimum of 5 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques is required. Proficiency in programming languages like Python, R, and frameworks such as TensorFlow or PyTorch is essential. A strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models is necessary. Familiarity with computer vision techniques, cloud platforms like Azure or AWS, data engineering, and trusted AI practices is also crucial. Strong collaboration skills with software engineering and operations teams, problem-solving abilities, and the capability to translate business requirements into technical solutions are key qualifications for this role. Excellent communication and interpersonal skills, along with a track record of driving innovation and staying updated with the latest AI research and advancements, are essential. A degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required, with a Master's degree preferred. Solid experience in developing and implementing generative AI models, proficiency in Python, experience with machine learning libraries and frameworks, strong knowledge of data structures, algorithms, and software engineering principles, familiarity with cloud-based platforms, and experience with NLP techniques and tools are also desired qualifications for this position.,

The ideal candidate for this role should have a minimum of 3 years of experience working with AI/ML/data-platform products. You should be adept at taking an AI product/platform from the ideation stage to market launch. Proficiency in GenAI is a must-have requirement for this position. Your responsibilities will include designing, developing, and deploying advanced AI models with a specific focus on generative AI. This will involve working with transformer architectures like GPT, BERT, and T5, as well as other deep learning models used for text, image, or multimodal generation. You will be expected to work with extensive and complex datasets, performing tasks such as data cleaning, preprocessing, and transformation to ensure the quality and relevance standards required for generative model training are met. Collaboration with cross-functional teams, including product, engineering, and data science teams, will be essential to identify project objectives and develop generative AI solutions tailored to meet business needs. Your role will also involve implementing, fine-tuning, and scaling generative AI models in production environments to ensure robust model performance and efficient resource utilization. Developing pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production, will be part of your responsibilities. As part of your continuous learning, you will need to stay updated on the latest advancements in generative AI research, techniques, and tools, and apply new findings to enhance model performance, usability, and scalability. Additionally, documenting and communicating technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders will be crucial, with a strong emphasis on explainability and responsible AI practices. Qualifications Required: - Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. A relevant Ph.D. or research experience in generative AI is considered a plus. - Experience: 2 - 11 Years of experience in machine learning, with at least 2 years dedicated to designing and implementing generative AI models or working with transformer-based models. Skills and Experience Required: - Generative AI: Transformer Models, GANs, VAEs, Text Generation, Image Generation - Machine Learning: Algorithms, Deep Learning, Neural Networks - Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow - MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) - Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: - BRING YOUR PASSION AND FUN: Enjoy a corporate culture that values highly diverse perspectives and insights. - BALANCE WORK AND PERSONAL TIME LIKE A BOSS: Benefit from resources and flexibility to seamlessly integrate your work and personal life. - BECOME A CERTIFIED SMARTY PANTS: Avail ongoing training and development opportunities to satisfy your appetite for learning. - START-UP SPIRIT (Good ten plus years, yet we maintain it): Experience the agility and innovation of a start-up environment combined with the stability of an established organization. - FLEXIBLE WORKING HOURS: Embrace a work environment that supports flexibility in working hours to enhance work-life balance.,

You will be responsible for leading the AI team in developing and deploying cutting-edge AI models. This will involve defining the AI strategy in alignment with the company's goals, overseeing the end-to-end AI project life cycle, and collaborating with stakeholders to identify opportunities for AI-driven solutions. It is crucial to ensure the ethical and responsible use of AI technologies and stay updated with the latest advancements in the field. Additionally, providing mentorship and guidance to team members, managing the team's resources, budget, and timelines, and communicating project progress to executive leadership will be key responsibilities. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with at least 3 years of experience in AI, machine learning, and data science. Proficiency in NLP, Generative AI, Transformer models, and experience in training, fine-tuning, and optimizing AI models are essential. A strong understanding of machine learning algorithms, neural networks, and NLP, as well as familiarity with AI development frameworks and tools like TensorFlow, PyTorch, and Scikit learn, is required. Ability to deploy AI models in cloud-based and edge environments, proficiency in programming languages such as Python, R, or Java, and excellent problem-solving skills are also necessary. Strong communication and interpersonal skills are vital for this role. Preferred skills for this position include familiarity with NLP, computer vision, and experience with big data technologies like Spark and Hadoop. The ability to translate business needs into technical requirements and an understanding of ISO standards are desirable. Location: Mohali Equal Employment Opportunity:,

You should have expertise in Generative AI with a good understanding of various techniques such as GANs, VAEs, and other relevant architectures. Your experience should include applying these techniques to real-world problems like image and text generation. Familiarity with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling is required. Exposure to both API-based and open-source LLMs based solution design is preferred. In terms of technical proficiency, you should have knowledge in machine learning algorithms including linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks. Proficiency in data science tools like NumPy, SciPy, Pandas, Matplotlib, TensorFlow, and Keras is essential. Experience with cloud computing platforms such as AWS, Azure, and GCP is also necessary. Additionally, familiarity with natural language processing (NLP), Transformer models, attention mechanisms, word embeddings, computer vision, convolutional neural networks, recurrent neural networks, object detection, robotics, reinforcement learning, motion planning, and control systems is required. Understanding data ethics including bias in machine learning and fairness in algorithms is also expected. As an Infoscion, your responsibilities will include diagnosing customer issues, designing innovative solutions, facilitating deployment, and ensuring client satisfaction. You will be involved in developing proposals, solution design, product configuration, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates. Leading small projects and contributing to organizational initiatives to provide high-quality solutions to customers is also part of the role. Your primary skills should encompass Artificial Intelligence, Computer Vision, Big Data, and Natural Language Processing (NLP). Proficiency in Machine Learning with Python is a must. Moreover, you should have the ability to develop value-creating strategies, knowledge of software configuration management systems, and awareness of the latest technologies and industry trends. If you possess the required skills and are keen on helping clients navigate their digital transformation journey, this opportunity at Infosys is ideal for you.,

As a Machine Learning Engineer (MLE) at Capco in Pune, with over 8 years of experience, you will be working in an inclusive environment that values diversity and individuality. Capco is a global technology and business consultancy specializing in the financial services sector, dedicated to helping clients succeed in an ever-evolving industry. Your key responsibilities will include having a strong understanding of LLM architectures, fine-tuning pre-trained models on domain-specific data, and working with concepts such as RAG, Prompt Engineering, and Vector DBs. You should also possess expertise in containerization and orchestration technologies like Kubernetes and Docker, along with in-depth knowledge of machine learning, deep learning, and NLP. Additionally, you will be managing prioritization and technology work for building NLP, ML & AI solutions, experimenting with LLM, and ensuring best practices for ML models integration and deployment. To excel in this role, you should have at least 8-10 years of experience in deploying end-to-end data science solutions, a strong technical background from a top-tier institute, and proficiency in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformer. Skills in Python, SQL, Pandas, Pyspark, GitHub, Confluence, JIRA, and cloud platforms like Azure or GCP are essential. Moreover, experience in stakeholder management, communication, and presentation skills are required to effectively present technical solutions and features in business terms. At Capco, you will have the opportunity to work on projects that will revolutionize the financial services industry, along with a work culture focused on innovation, ongoing learning opportunities, a flat non-hierarchical structure, and competitive family-friendly benefits. If you are excited about advancing your career with Capco, we encourage you to apply and join us in creating lasting value for clients and employees. For more information about Capco and its people, please visit www.capco.com.,

As the Chief Technology Officer (CTO) of our AI vertical, you will be at the forefront of revolutionizing the way ad films, content, and experiences are crafted through cutting-edge Generative AI technology. You will play a pivotal role in leading the development of AI solutions across various domains such as LLMs, multimodal AI, image/video generation, and no-code tooling. Your responsibilities will extend to not only scaling AI workflows but also building internal systems that facilitate rapid and creative experimentation for our filmmaking and brand teams. This hands-on leadership position is tailored for individuals who are passionate about coding, adept at developing innovative GenAI tools, and have a keen focus on automation. Your key responsibilities will include architecting and overseeing the full AI stack, from model selection to real-time deployment. You will be tasked with building workflows that integrate various tools such as Runway, MidJourney, Google Veo, Suno, ElevenLabs, GPT, SDXL, among others. Additionally, you will design and optimize custom no-code pipelines utilizing platforms like ComfyUI, ControlNet, Deforum, InvokeAI, and more. Your role will involve writing and managing backend tools in Python, integrating APIs, automation scripts, and model wrappers. Leading a team of ML engineers, prompt engineers, and creative technologists will also be part of your responsibilities, along with developing reusable libraries and systems for content creation. To excel in this role, you must possess expertise in Python for AI pipelines, tooling, and backend scripting. Deep knowledge of machine learning, transformer models, diffusion models, and LLMs is essential. Hands-on experience with no-code GenAI platforms such as ComfyUI, Deforum, ControlNet, and proficiency in MLOps, inference optimization, and managing GPU workflows are critical. Your ability to bridge technology and creativity, enabling fast prototyping for image, video, and voice workflows, will be highly valued. Desirable qualifications include prior experience with AI-driven film/video tools, exposure to custom model training, LoRA tuning, and familiarity with platforms like HuggingFace, OpenAI, Replicate, and RunwayML. If you have built creative or experimental AI tools, sharing a repository or demo would be advantageous. Experience in startup environments or leadership roles in fast-paced, zero-to-one settings will be beneficial. In this role, you will take ownership of all AI tooling and workflow automation, internal platforms utilized by creative and production teams, and scaling GenAI pipelines to enhance production efficiency and output quality. You will also drive technical innovation and foster an experimentation culture within the company. This is a full-time, permanent position with a day shift schedule from Monday to Friday, requiring in-person work at the specified location.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,

As a Senior Machine Learning Engineer at our AI/ML team, you will be responsible for designing and building intelligent search systems. Your focus will be on utilizing cutting-edge techniques in vector search, semantic similarity, and natural language processing to create innovative solutions. Your key responsibilities will include designing and implementing high-performance vector search systems using tools like FAISS, Milvus, Weaviate, or Pinecone. You will develop semantic search solutions that leverage embedding models and similarity scoring for precise and context-aware retrieval. Additionally, you will be expected to research and integrate the latest advancements in ANN algorithms, transformer-based models, and embedding generation. Collaboration with cross-functional teams, including data scientists, backend engineers, and product managers, will be essential to bring ML-driven features from concept to production. Furthermore, maintaining clear documentation of methodologies, experiments, and findings for technical and non-technical stakeholders will be part of your role. To qualify for this position, you should have at least 3 years of experience in Machine Learning, with a focus on NLP and vector search. A deep understanding of semantic embeddings, transformer models (e.g., BERT, RoBERTa, GPT), and hands-on experience with vector search frameworks is required. You should also possess a solid understanding of similarity search techniques such as cosine similarity, dot-product scoring, and clustering methods. Strong programming skills in Python and familiarity with libraries like NumPy, Pandas, Scikit-learn, and Hugging Face Transformers are necessary. Exposure to cloud platforms, preferably Azure, and container orchestration tools like Docker and Kubernetes is preferred. This is a full-time position with benefits including health insurance, internet reimbursement, and Provident Fund. The work schedule consists of day shifts, fixed shifts, and morning shifts, and the work location is in-person. The application deadline for this role is 18/04/2025.,