305 Bert Jobs - Page 5

You are seeking an AI Engineer (Level 2 & 3) with a deep passion for exploring AI technologies, particularly Large Language Models (LLMs) and advanced NLP techniques. The ideal candidate will have a strong foundation in deep learning architectures and experience with state-of-the-art AI frameworks. In this role, you will work on developing and deploying intelligent applications that solve real-world problems for our clients, leveraging tools like LangChain, Hugging Face, and OpenAI APIs. Your responsibilities will include designing and developing AI solutions focusing on large language models, experimenting with state-of-the-art Transformer architectures to address complex language understanding and generation tasks. You will leverage modern AI frameworks and tools to develop, fine-tune, and integrate LLMs into applications, ensuring models are optimized and efficient for production use. Implement and enhance NLP capabilities like text generation, summarization, and retrieval-augmented generation (RAG) to provide intelligent and contextually aware features in solutions. Craft effective prompts and fine-tune LLMs to improve model performance for specific domains and use cases. Deploy and scale models in production environments, implementing MLOps best practices for robust, repeatable model deployments. Utilize cloud services for model training, deployment, and infrastructure management, optimizing resources to handle large-scale training and inference efficiently. Continuously optimize model performance and implement scaling strategies to handle large datasets and high-volume usage. Collaborate with cross-functional teams to integrate AI capabilities into products, ensuring AI systems meet client needs and quality standards. Stay up-to-date with the latest AI research, papers, and trends in the industry, experimenting with new algorithms, models, and techniques to keep solutions at the cutting edge. You should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, plus 4+ years of hands-on experience in AI/ML engineering or a similar role. Strong foundation in deep learning and NLP, experience in transformer-based architectures and large language models is required. Proficiency in Python programming and experience with major AI/ML frameworks and libraries is necessary. Proven experience in developing NLP solutions, model tuning, deployment of machine learning models, and familiarity with deploying in cloud environments is highly desired.,

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.,

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.,

We are looking for a Software Developer with strong skills in Python, particularly in the field of Natural Language Processing (NLP). The ideal candidate must have a minimum of 3-7 years of relevant experience. One of the primary responsibilities will be to work on core problems and develop algorithms from scratch. Additionally, the candidate should have the ability to seamlessly integrate into ongoing projects, understand existing codes and algorithms, and contribute effectively. The candidate should have expertise in NLP application areas such as Sentiment Analysis, Document Classification, Question-Answer Matching, Text Summarization, and Topic Modeling. It is essential that the candidate has successfully trained and deployed at least one Machine Learning / Deep Learning model for the NLP domain. Proficiency in web scraping will be considered a significant advantage. Apart from technical skills, the candidate must possess strong interpersonal and communication skills. They should be able to engage with customers to solve business problems using AI and identify opportunities to embed AI/ML services into enterprise architecture seamlessly. Keeping up-to-date with the latest technological advancements in the fields of AI, ML, Computer Vision, and NLP is crucial for this role. This position is based in Pune and requires a proactive individual who is passionate about leveraging AI technologies to drive innovation and solve real-world challenges.,

Intelligence Node is a real-time retail intelligence platform that enables businesses to enhance product-level profitability and boost margins by leveraging data-driven competitive insights. The cutting-edge technology of Intelligence Node employs AI to analyze billions of data points across 1,900 retail categories in 34 global markets. The business model of Intelligence Node offers a comprehensive suite of solutions, including product matching, digital shelf analytics, assortment & availability, pricing & promotions, and brand compliance. These solutions aid retailers and brands in making strategic and operational decisions. With a patented product matching engine and proprietary AI, Intelligence Node ensures 99% data accuracy and 10-second data refresh rates. Following its acquisition by Interpublic Group (IPG) in December 2024, Intelligence Node collaborates with IPG to provide a future-ready combined solution to companies navigating the complexities of the current commerce landscape. Together with IPG, Intelligence Node delivers comprehensive data, advanced analytics, and strategic expertise to help enterprise brands and retailers secure market share and drive sustainable growth. **Junior Data Scientist** As a Junior Data Scientist at Intelligence Node, you will collaborate closely with senior data scientists and business stakeholders to discover data-driven insights and opportunities in the retail sector. Your responsibilities will involve analyzing retail data sets using statistical techniques and machine learning algorithms, developing predictive models to support business decisions, and implementing data pipelines for processing and preparation. Additionally, you will support the creation of reports and dashboards to visualize and communicate data insights. Staying updated with the latest developments in data science and retail analytics is a key aspect of this role. **Required Skill Set** - Minimum of 2-3 years of experience in Data Science - Proficiency in Python and data science libraries such as NumPy, Pandas, and Scikit-learn - Strong understanding of statistical techniques and their applications in the retail sector **Senior Data Scientist** In the role of Senior Data Scientist at Intelligence Node, you will lead a team of data scientists and work closely with key business stakeholders to develop advanced machine learning models and neural networks for solving complex problems in the retail and e-commerce domains. Your responsibilities will include experimenting with Large Language Models (LLMs), designing scalable data pipelines, mentoring junior data scientists, and deploying predictive models into production. **Required Skill Set** - 7-10 years of experience in Data Science - Proficiency in Python or C++ - Deep understanding of BERT, transformers, and advanced machine learning architectures - Expertise in computer vision techniques and applications such as visual transformers and OCR - Curiosity to explore LLMs and their applications - Extensive retail and e-commerce experience preferred - PhD in a related field preferred Interested candidates are encouraged to share their updated CVs at a.vernekar@intelligencenode.com along with their current remuneration details. Candidates from Mumbai are preferred for this role.,

You are a talented and innovative AI/ML Engineer with a strong background in machine learning and deep learning. You have a keen interest in Generative AI (GenAI) and are excited to explore, implement, and scale GenAI models. Your primary responsibilities include designing and deploying end-to-end AI/ML solutions, experimenting with cutting-edge GenAI frameworks and tools, and collaborating with cross-functional teams to solve business problems using ML solutions. Your key responsibilities involve designing and developing robust ML models, including traditional and deep learning approaches. You will also build, train, fine-tune, and deploy Generative AI models for various use cases such as text, image, or code generation. Utilizing AWS services like SageMaker, Lambda, EC2, S3, and Glue to build scalable AI/ML solutions is an essential part of your role. Additionally, you will create and automate ML pipelines using CI/CD and MLOps best practices, conduct data preprocessing, feature engineering, and EDA for model development, and ensure model performance, fairness, and explainability throughout the lifecycle. To excel in this role, you should hold a Bachelor's/Masters degree in Computer Science, AI/ML, Data Science, or a related field and have at least 3 years of hands-on experience in machine learning and deep learning using Python with TensorFlow, PyTorch, Hugging Face, etc. Strong hands-on experience with AWS AI/ML services, experience in deploying LLMs or transformer-based models in production, and familiarity with GenAI tools like Hugging Face Transformers, LangChain, OpenAI API, Bedrock, or LLamaIndex are required. You should also possess working knowledge of REST APIs, microservices, and containerized deployments, proficiency in MLOps tools such as MLflow, SageMaker Pipelines, or Kubeflow, and strong communication skills to present complex ML concepts clearly. Preferred qualifications include experience with prompt engineering, fine-tuning, or RAG techniques, AWS Machine Learning Specialty certification or equivalent, exposure to NLP, computer vision, or multi-modal GenAI models, and contributions to open-source GenAI projects or research. Stay updated with the latest trends in GenAI and propose innovative solutions using LLMs or transformer-based architectures to drive continuous improvement in AI/ML solutions.,

As an AI Lead with over 4 years of experience, your primary responsibility will be to lead the design, development, and deployment of advanced AI solutions focusing on Natural Language Processing (NLP), Large Language Models (LLM) fine-tuning, and implementing machine learning models to solve real-world challenges. You will collaborate with product, engineering, and domain experts to transform innovative ideas into intelligent solutions. Your key responsibilities will include guiding junior engineers, building and optimizing Large Language Models (LLMs) and NLP pipelines, creating machine learning workflows for various systems, integrating AI models into production environments ensuring scalability and performance, conducting data preprocessing, feature engineering, and experimentation, aligning AI outputs with business objectives by collaborating with cross-functional teams, and staying abreast of the latest advancements in deep learning, LLMs, and generative AI. To excel in this role, you should possess 4+ years of hands-on experience in AI/ML engineering, proficiency in Python along with expertise in TensorFlow, PyTorch, or Hugging Face, a strong background in Natural Language Processing (NLP), prior experience with Large Language Models (LLMs) such as GPT, BERT, LLaMA, and transformer architectures, familiarity with ML Ops tools, version control, and deployment practices, a solid understanding of AI ethics, model evaluation, and optimization, excellent communication skills, and the ability to mentor and guide junior engineers. A Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field would be an added advantage.,

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 yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. As an EY-Consulting AI Enabled Automation - GenAI/Agentic Manager, we are seeking individuals with strong AI Enabled Automation skills who are passionate about applying AI in the process automation space, including Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Develop and implement AI-enabled automation solutions aligned with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS), and align with business goals and user needs. - Educate the team on best practices and stay updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience, proficiency in Python, and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation. - Proficiency in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP. - Experience in GenAI technologies, LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience implementing MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility). - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Strong understanding of data pipelines, APIs, and distributed systems. - Ability to build observability into AI systems latency, drift, performance metrics. - Strong communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What We Offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We provide stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support your professional development in every way possible. You have the flexibility to devote time to what matters to you, in both your business and personal lives. At EY, you can be yourself, express your point of view, energy, and enthusiasm, no matter where you are in the world. This is how you can make a difference. EY | Building a better working world: 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.,

As a Data Scientist Lead-GenAI at Your Partner, a strategic technology partner specializing in AI solutions, you will be responsible for developing and deploying machine learning models and NLP solutions. With 8 to 10 years of experience, you will play a key role in optimizing performance for GenAI applications and collaborating with cross-functional teams to deliver AI-driven insights. Your expertise in Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) will be essential in driving the success of our projects. Proficiency in Python and NLP libraries such as NLTK, spaCy, TextBlob, TensorFlow, PyTorch, and Hugging Face is required. Experience with pre-trained models like BERT, GPT-3, and Transformers, as well as text preprocessing techniques including tokenization, part-of-speech tagging, lemmatization, stemming, and named entity recognition, will be highly valued. As a key member of our team, you will be expected to stay updated with the latest advancements in NLP technologies and play a crucial role in the growth and transformation of businesses. Your role will involve handling NLP tasks such as sentiment analysis, text classification, and entity recognition, while also focusing on effective stakeholder management and people leadership. Join us in changing how AI/ML is approached in the service sector and delivering outcomes that matter. Your contributions will enable businesses to grow, transform, and achieve their objectives, ultimately increasing profit and delivering improved value for customers.,

You will be responsible for solving complex data problems using deep learning techniques in computer vision OR Natural Language processing. Your primary tasks will include delivering production-ready models, meeting project requirements and timelines, identifying success metrics, and monitoring them to ensure high-quality output for the client. Additionally, you will be expected to share ideas and learnings with the team. To succeed in this role, you must have at least 2+ years of working experience with Python programming. Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks, and machine learning expertise with exposure to frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet is mandatory. You should also possess a minimum of 2 years of experience in the NLP/Computer vision domain. Exposure to DL Model optimization, transfer learning techniques, and SOTA algorithms in computer vision &/or Natural language processing will be beneficial for tasks like Object detection, tracking, classification, text summarization, etc. Strong verbal and written communication skills for effective interactions with the team and clients are essential. In this role, you will enjoy a fun workplace environment with a flat job hierarchy, flexible work hours, casual dress code, and a disciplined workplace environment. Additionally, you will have opportunities for learning & development, team cohesion, task autonomy, smooth reporting, and extensive training. The company's HR policies include the POSH Act for inclusivity, a flexible leave policy, monthly paid leaves, and bonus & incentives. You will also be motivated through team appreciation, individual awards, performance rewards, and salary appraisals.,

Senior Software Engineer - AI Backend As Relyance AIs Senior Software Engineer, AI Backend , you will strategize, drive, and execute on the core initiatives connecting output of NLP (Natural Language Processing) and AI models with the Relyance product. You will partner with cross-functional stakeholders to design and build a flexible, powerful, and robust NLP backend that scales the impact of AI for our customers. Given that you are constructing the foundation for a system with complex data that rapidly evolves over time, you need to pay close attention to detail, anticipate and welcome constant change, maintain a forward-thinking outlook, all while being fast and scrappy enough to address present needs. As a Senior Software Engineer - AI Backend, your role will include: Strategy: using your experience and understanding of how complex backends and data evolve over time, you will create and execute a roadmap for a system that enables high velocity AI development while creating stability on the product side Execution: make customer-centric prioritization decisions to balance between immediate impact and long-term bets and partner with the team manager to drive alignment and collaboration with other engineering teams Design: deeply understand how everything fits together; architect systems to balance scrappiness for the current needs with a forward-thinking outlook to improve and scale our infrastructure; continuously look for opportunities to automate and build tools to lower operational barriers Hands-on: being a key member of the team solving its most complex problems with the simple, pragmatic solutions Learning: in this role, you will have ample opportunities to become a hands-on AI/ML engineer by learning practical use of AI technologies such as LLMs (Large Language Models, e.g. ChatGPT and GPT-4), smaller models like BERT and T5, frameworks like PyTorch and TensorFlow, model training and data curation workflows, etc. This role could be a fit for you if you bring: 7+ years of experience with a track record of being a key member of teams building complex backends, especially backends that deal with complex data Expert level proficiency in Python Strong data structures, algorithms, and OO software design and implementation skills Ability to learn and operate across full stack, from ML and NLP, to cloud infrastructure, to UI frontend Experience as a creative and strategic thinker with mindset to build powerful, robust, and flexible systems A get stuff done attitude and enjoy being hands-on and working alongside the team to solve its most pressing problems in a fast-paced, collaborative environment A track record of successfully influencing product direction through a strong perspective that motivates engineers to develop simple, pragmatic solutions to complex problems Skills in communicating with clear and concise, active listening and empathy skills, and a respectful, collaborative approach that earns the trust of your peers Bonus points for: Experience with ML and NLP in particular Experience with a privacy technology Startup Experience An advanced technical degree Show more Show less

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.,

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 looking to hire individuals with strong AI Enabled Automation skills who are interested in applying AI in the process automation space using technologies such as Azure, AI, ML, Deep Learning, NLP, GenAI, large Lang Models (LLM), RAG, Vector DB, Graph DB, and Python. Responsibilities: - Development and implementation of AI enabled automation solutions, ensuring alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to demonstrate the potential of AI enabled automation applications. - Ensure seamless integration of optimized solutions into the overall product or system. - Collaborate with cross-functional teams to understand requirements, integrate solutions into cloud environments (Azure, GCP, AWS, etc.), and ensure alignment with business goals and user needs. - Educate the team on best practices and keep updated on the latest tech advancements to bring innovative solutions to the project. Technical Skills Requirements: - 9 to 13 years of relevant professional experience. - Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers. - Strong foundation in ML algorithms, feature engineering, and model evaluation (Must). - Strong foundation in Deep Learning, Neural Networks, RNNs, CNNs, LSTMs, Transformers (BERT, GPT), and NLP (Must). - Experience in GenAI technologies such as LLMs (GPT, Claude, LLaMA), prompting, fine-tuning. - Experience with LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI (Agentic Framework). - Knowledge of retrieval augmented generation (RAG) and Knowledge Graph RAG. - Experience with multi-agent orchestration, memory, and tool integrations. - Experience/implement MLOps practices and tools (CI/CD for ML, containerization, orchestration, model versioning, and reproducibility) Good to have. - Experience with cloud platforms (AWS, Azure, GCP) for scalable ML model deployment. - Good understanding of data pipelines, APIs, and distributed systems. - Build observability into AI systems latency, drift, performance metrics. - Strong written and verbal communication, presentation, client service, and technical writing skills in English for both technical and business audiences. - Strong analytical, problem-solving, and critical thinking skills. - Ability to work under tight timelines for multiple project deliveries. What we offer: At EY GDS, we support you in achieving your unique potential both personally and professionally. We give you stretching and rewarding experiences that keep you motivated, working in an atmosphere of integrity and teaming with some of the world's most successful companies. While we encourage you to take personal responsibility for your career, we support you in your professional development in every way we can. You enjoy the flexibility to devote time to what matters to you, in your business and personal lives. At EY, you can be who you are and express your point of view, energy, and enthusiasm, wherever you are in the world. It's how you make a difference. EY | Building a better working world: 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.,

You are an experienced Senior Full Stack Engineer with a strong interest in AI-driven technologies, looking to join a dynamic team. Your main responsibilities will include designing, developing, and maintaining scalable web applications that integrate large language models (LLMs) and AI agents into both frontend and backend systems. Collaboration with product managers, designers, data scientists, and fellow engineers is essential to deliver innovative, high-quality solutions leveraging the latest advances in artificial intelligence. The company you will be working for is a leading AI product company, focused on revolutionizing user experiences through cutting-edge solutions like AI Universal Search, last-mile navigation, and contextual guidance. Their technology has delivered impressive results, including a 70% reduction in support ticket volume, a +30% boost in product adoption, higher conversions, and improved Net Promoter Scores (NPS). Your key responsibilities will include full stack development, AI & LLM integration, API development, database management, collaboration with stakeholders, code review & testing, mentorship of junior engineers, and continuous improvement in adopting emerging AI technologies and best practices. In terms of technical skills, you should have proficiency in frontend frameworks like ReactJS, strong backend development experience with Node.js and Python, hands-on experience integrating large language models and AI technologies, familiarity with RESTful APIs, GraphQL, microservices architecture, relational and NoSQL databases, cloud platforms, DevOps practices, version control systems, and CI/CD pipelines. Soft skills required for this role include excellent problem-solving and analytical skills, strong communication and collaboration abilities, and the ability to work independently and manage multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and understanding of prompt engineering and multi-agent orchestration.,

As an AIML - LLM Gen AI Engineer, your primary responsibility will be to design, develop, and implement solutions using transformer-based models for various Natural Language Processing (NLP) tasks. This includes tasks such as text generation, summarization, question answering, classification, and translation. You will be working extensively with transformer models like GPT, BERT, T5, RoBERTa, and similar architectures. Your deep understanding of model architectures, attention mechanisms, and self-attention layers will be crucial in effectively utilizing Large Language Models (LLMs) to generate human-like text. You will lead efforts in fine-tuning pre-trained LLMs and other transformer models on domain-specific datasets to optimize performance for specialized NLP tasks. In your role, you will apply your knowledge of attention mechanisms, context windows, tokenization, and embedding layers in model development and optimization. It will be essential to address and mitigate issues related to biases, hallucinations, and knowledge cutoffs that can impact LLM performance and output quality. You will craft clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs, including the use of instruction-based prompting. Additionally, you will implement and experiment with zero-shot, few-shot, and many-shot learning techniques to maximize model performance without extensive retraining. Your iterative approach to prompt engineering strategies will involve refining outputs, rigorously testing model performance, and ensuring consistent and high-quality results. You will also be responsible for creating prompt templates for repetitive tasks that are adaptable to different contexts and inputs. Expertise in chain-of-thought (CoT) prompting will enable you to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. Your contribution will span the entire lifecycle of machine learning models in an NLP context, including training, fine-tuning, and deployment. **Required Skills & Qualifications:** - A minimum of 8 years of experience working with transformer-based models and NLP tasks, focusing on text generation, summarization, question answering, classification, and similar applications. - Proficiency in transformer models such as GPT, BERT, T5, RoBERTa, and foundational models. - Strong familiarity with model architectures, attention mechanisms, and self-attention layers for generating human-like text. - Proven experience in fine-tuning pre-trained models on domain-specific datasets for various NLP tasks. - Knowledge of attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs affecting LLM performance. - Ability to craft clear, concise, and contextually relevant prompts for LLMs. - Experience in zero-shot, few-shot, and many-shot learning techniques. - Proficiency in Python and NLP libraries like Hugging Face Transformers, SpaCy, NLTK. - Solid experience in training, fine-tuning, and deploying ML models in an NLP context. - Strong problem-solving skills and analytical mindset. - Excellent communication and collaboration abilities for remote or hybrid work environments. - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related quantitative field. This role requires a combination of technical expertise in AI/ML, NLP, and transformer models, along with strong problem-solving and communication skills to achieve effective results in the field.,

As a Senior Full Stack Engineer at our modern Digital Adoption and Execution Platform, you will play a crucial role in designing, developing, and maintaining scalable web applications that incorporate large language models (LLMs) and AI agents. Your responsibilities will include collaborating with cross-functional teams to deliver innovative solutions that leverage the latest advancements in artificial intelligence technology. Your key responsibilities will involve full stack development, AI and LLM integration, API development, database management, collaboration with stakeholders, code review and testing, mentorship, and continuous improvement. You will be expected to have a strong technical background with expertise in frontend frameworks like React JS, backend development using Node.js and Python, integrating AI technologies, working with RESTful APIs, GraphQL, relational and NoSQL databases, cloud platforms, version control systems, and CI/CD pipelines. In addition to your technical skills, you should possess soft skills such as excellent problem-solving abilities, effective communication, collaboration skills, and the capability to work independently in a fast-paced environment. Preferred qualifications include experience with containerization technologies, knowledge of security best practices, familiarity with automated testing frameworks, and an understanding of multi-agent orchestration. If you are passionate about AI-driven technologies and looking to work in a dynamic environment where you can contribute to cutting-edge solutions, we invite you to join our team as a Senior Full Stack Engineer and be part of our journey towards revolutionizing user adoption and onboarding experiences in the SaaS industry.,

You should have 3-5 years of experience in writing and debugging intermediate to advance level Python code with a good understanding of concepts related to OOPS, APIs, and SQL Databases. Additionally, you should possess a strong grasp of fundamental basics of Generative AI, large language models (LLMs) pipelines like RAG, Open AI GPT models, and experience in NLP and Langchain. It is essential to be familiar with the AWS environment and services like S3, lambda, Step Functions, CloudWatch, etc. You should also have excellent analytical and problem-solving skills and be capable of working independently as well as collaboratively in a team-oriented environment. An analytical mind and business acumen are also important qualities for this role. You should demonstrate the ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. It would be beneficial to have familiarity with Python libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, or similar models, along with experience in Deep Learning and machine learning.,

You are an experienced Senior Full Stack Engineer with a keen interest in AI-driven technologies, ready to join a dynamic team dedicated to designing, developing, and maintaining scalable web applications. Your role will involve integrating large language models (LLMs) and AI agents into both frontend and backend systems to deliver innovative, high-quality solutions that leverage the latest advances in artificial intelligence. You will collaborate with product managers, designers, data scientists, and fellow engineers to drive faster time-to-value across product suites. Your responsibilities will include designing, developing, and maintaining robust web applications with seamless integration between frontend and backend components. You will also integrate large language models and AI agents to enhance functionality, automation, and user experience. Building and maintaining efficient RESTful APIs and/or GraphQL endpoints for AI-powered features and services will be crucial. In addition, you will design and manage both relational and NoSQL databases to support AI-driven data workflows, while working closely with frontend developers, data scientists, and other stakeholders to deliver innovative, AI-centric solutions. Conducting code reviews, writing unit and integration tests, and ensuring code quality and performance will be part of your routine. You will also mentor junior engineers, sharing knowledge on AI integration, best practices, and modern development tools. Continuous improvement is key, so staying updated with emerging AI technologies, frameworks, and industry trends to drive the adoption of best practices is essential. As a qualified candidate, you should have at least 5 years of experience in full stack web development, proficiency in frontend frameworks like React JS, and strong backend development experience with Node.js and Python. Hands-on experience integrating large language models such as GPT-3 and BERT, familiarity with RESTful APIs, GraphQL, and microservices architecture, and a solid understanding of relational and NoSQL databases are required. Additionally, experience with cloud platforms (AWS, Azure, or GCP), DevOps practices, version control systems like Git, and CI/CD pipelines will be beneficial. Your soft skills should include excellent problem-solving and analytical abilities, strong communication and collaboration skills, and the capability to work independently while managing multiple priorities in a fast-paced environment. Preferred qualifications include experience with containerization technologies like Docker and Kubernetes, knowledge of security best practices for web and AI applications, familiarity with automated testing frameworks and tools, and an understanding of prompt engineering and multi-agent orchestration.,

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2Xs digital lending platform. Biz2X solutions not only reduces operational expenses, but accelerates lending growth by significantly improving client experience, reducing total turnaround time, and equipping the relationship managers with powerful monitoring insights and alerts Read Our Latest Press Release : Press Release - Biz 2X Job Overvi ew: We are seeking for a Senior Engineer AI/ML to drive the development and deployment of sophisticated AI solutions in our fintech products. You will oversee MLOps pipelines and manage large language models (LLMs) to enhance our financial technology services. Key Responsibilities: AI/ML Development: Design and implement advanced ML models for applications including fraud detection, credit scoring, and algorithmic trading. MLOps: Develop and manage MLOps pipelines using tools such as MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation. LLMOps: Optimize and operationalize LLMs (e.g., GPT-4, BERT) for fintech applications like automated customer support and sentiment analysis. Collaboration: Work with product managers, data engineers, and business analysts to align technical solutions with business objectives. Qualifications: Experience: 4-6 years in AI, ML, MLOps, and LLMOps with a focus on fintech. Technical Skills: Expertise in TensorFlow, PyTorch, scikit-learn, and MLOps tools (MLflow, Kubeflow). Proficiency in large language models (LLMs) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or Scala. Experience in building RAG pipelines, NLP, OCR and Pyspark Good to have: Production GenAI Experience in Fintech/Lending domain Show more Show less

As a highly skilled and innovative Automatic Speech Recognition (ASR) Senior Research Engineer at Cerence ai, you will have the opportunity to make a significant impact in the dynamic automotive industry alongside a high-performing global team. Cerence ai is the global leader in AI for transportation, specializing in AI and voice-powered companions for vehicles that enhance the overall driving experience for both drivers and passengers. With over 500 million cars equipped with Cerence ai technology, we collaborate with leading automakers and technology companies to create intuitive, integrated experiences that prioritize safety, connectivity, and enjoyment during journeys. Your role at Cerence ai will involve designing, building, and optimizing cutting-edge ASR models tailored for automotive applications, ensuring high accuracy and low latency in voice recognition tasks. You will be responsible for assessing the performance of ASR systems in real-world driving conditions, including diverse accents and languages, as well as noisy on-road environments. Collaboration with cross-functional teams, including product managers, software engineers, and UX designers, will be essential to seamlessly integrate ASR features into automotive voice assistant systems. Additionally, you will conduct innovative research in ASR technology, focusing on integrating generative AI and large language models to enhance voice interaction capabilities in automotive systems. To excel in this role, you should possess a Master's or Ph.D. in Computer Science & Engineering, Linguistics, Applied Mathematics, or a related field, along with 5+ years of hands-on experience in developing ASR systems, preferably for automotive applications. Proficiency in machine learning frameworks such as TensorFlow and PyTorch, as well as programming languages like Python, is required. Strong knowledge of speech processing technologies, natural language processing, deep learning techniques, and large language models is essential. Prior experience with cloud computing platforms and familiarity with automotive standards and protocols are advantageous. At Cerence ai, we offer a generous compensation and benefits package, including annual bonus opportunities, insurance coverage, paid time off, equity awards, and the option for remote or hybrid work arrangements. Join us in shaping the future of voice and AI in cars and be part of a dedicated team committed to driving innovation in the automotive industry. Cerence Inc. is an equal opportunity employer, and we value diversity, inclusion, and a collaborative work environment where employees can thrive and contribute to meaningful advancements in technology.,

About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. ________________________________________ Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. ________________________________________ Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. ________________________________________ Technical Expertise Required: Strong proficiency in Python and SQL; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision. Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc. Experience developing Chatbots, OCR, and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc. Strong understanding of model validation, performance tuning, and deployment strategies. ________________________________________ Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. ________________________________________ What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team Show more Show less

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworksRole & responsibilities Apply here- https://forms.office.com/Pages/ResponsePage.aspx?id=x1J_P7IHsUygekliVgIebwsHHZQFG-FBpsMwy3S3e89UOFNIWU42V1pSQTlXWDMwUTAzSjkzNVRZQy4u

As a Silicon Design Validation Engineer at Lattice, you will be part of a dynamic and enthusiastic team working on cutting-edge projects in programmable logic solutions. If you thrive in a fast-paced and results-oriented environment and are passionate about innovation and self-challenge, this role offers you the opportunity to contribute to the validation and performance assessment of building blocks within FPGA. In this role, you will be responsible for validating and characterizing various IPs within the FPGA, such as SERDES, Memory DDR, DPHY, PLL, DSP, Fabric, and I/O components. You will have the chance to work on developing validation and characterization plans, test logic RTL, and drive new silicon product bring-up. Additionally, you will collaborate with design, verification, manufacturing, test, quality, and marketing teams to ensure the successful release of products to production. The ideal candidate for this role will have at least 5 years of experience in Silicon Design Validation, with expertise in High-Speed Serdes Interface characterization, Verilog/VHDL design implementation, and test automation development using languages like Python and Perl. You should also possess strong communication skills, problem-solving abilities, and a proactive mindset. At Lattice, we are focused on collaboration, problem-solving, and innovation. We are a leader in low-power programmable technology, serving customers in various markets such as communications, computing, industrial, automotive, and consumer electronics. By joining Team Lattice, you will be part of a team that is dedicated to creating a smarter, better-connected world through innovative semiconductor products and solutions. If you are motivated to develop a career in Silicon Design Validation Engineering and are looking for a challenging yet rewarding opportunity to work with advanced technologies and equipment, Lattice may be the perfect fit for you. Join us in driving innovation and shaping the future of technology together.,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,