85 Nlp Techniques Jobs - Page 2

Company Description Heaps is one of the fastest growing health tech start-ups in India today. With more than 5 million patient interactions till date, Heaps is revolutionising how insurers, doctors and patients experience health care. We are building an AI driven end-to-end care management platform which coordinates, tracks and monitors the health of the patient empowering them with the right information to take right decisions at the right time about their health. Heaps is backed by marquee investors - titans in the healthcare industry who have invested more than $7.4 million in Series A funding. Heaps is on a path for global scaling, weve already expanded in 5 countries across the globe. Role Description Are you an AI engineer with a strong technical background and a passion for solving complex real-world problems At HEAPS, our AI team drives innovation by developing and integrating advanced machine learning and Large Language Models (LLMs) into healthcare products. We are seeking skilled AI Engineers to lead end-to-end AI initiativesdesigning, fine-tuning, and deploying models that extract actionable insights from healthcare data. Your work will directly support insurance and hospital clients worldwide in improving patient care and operational outcomes through scalable AI solutions. Responsibilities Design, develop, and integrate Large Language Models (LLMs) into our healthcare product suite Build and optimize AI/ML pipelines for healthcare applications Lead use case development and machine learning initiatives that extract actionable insights from complex healthcare data Collaborate with cross-functional teams to implement AI-driven features that enhance patient care Translate complex data and model outputs into clear, impactful recommendations for stakeholders Fine-tune and deploy models for healthcare-specific use cases Ensure AI solutions meet healthcare compliance and security standards Research and apply state-of-the-art AI techniques to solve challenging healthcare problems Skills: 2-3 years of hands-on experience in AI/ML engineering Strong proficiency in Python, TensorFlow/PyTorch, and ML frameworks Experience with LLMs (GPT, BERT, LLaMA, etc.) and NLP techniques Proven ability to solve complex problems with AI and communicate results crisply. Knowledge of cloud platforms (AWS/Azure/GCP) and MLOps Show more Show less

As a visionary Generative AI Architect, you will play a crucial role in leading the design and deployment of intelligent solutions by leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. Your expertise will be instrumental in building scalable generative AI systems across insurance, healthcare, and financial services. Your key responsibilities will include architecting modular GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral, with a strong focus on LangChain, LangGraph, and RAG. You will design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows. Additionally, you will be responsible for designing robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models on platforms like AWS, Azure, and GCP. You will also be involved in developing and prototyping intelligent assistants, document automation systems, and NLP tools. Building robust RAG architectures with vector databases like FAISS and Pinecone and embedding models for domain-specific search and document intelligence will be part of your responsibilities. Furthermore, you will translate complex business problems into generative AI use cases in various areas such as underwriting automation, claims triage, policy analysis, and customer support. Collaborating with cross-functional teams, including data scientists, engineers, and domain SMEs, will be crucial to driving successful AI solution delivery. You will continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms such as OpenAI, Hugging Face, and LlamaIndex. Optimizing performance and scalability for LLM-based systems deployed in production environments to ensure low latency, secure data handling, and ethical AI compliance will also be a key part of your role. Lastly, you will evangelize GenAI innovations internally and with clients through PoCs, demos, and technical workshops. In addition to the key responsibilities, it would be good to have experience developing structured AI pipelines using the MCP framework to clearly define model invocation logic, contextual understanding and memory, and input/output protocols for repeatable, enterprise-scale use cases. To qualify for this role, you should have at least 7+ years of experience in AI/ML, with a minimum of 3+ years specializing in NLP and Generative AI. You should also demonstrate proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs like OpenAI and Anthropic. A deep understanding of LLM architecture and operations, along with proficiency in building Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models, is essential. Additionally, you should be proficient with GenAI frameworks, possess advanced programming skills in Python, and have experience deploying enterprise-ready AI solutions in production environments.,

As a Speech Architect, you will lead the development of cutting-edge speech recognition and processing systems, focusing on complex tasks such as speaker diarization, automatic speech recognition (ASR), Sentiment/Emotion recognition, and transcription. You will guide a team of engineers and collaborate closely with other departments to deliver high-impact solutions. Lead and mentor a team of speech engineers, providing technical guidance and ensuring the successful delivery of projects. Architect and design end-to-end speech processing pipelines, from data acquisition to model deployment, ensuring systems are scalable, efficient, and maintainable. Develop and implement advanced machine learning models for speech recognition, speaker diarization, and related tasks using techniques such as deep learning, transfer learning, and ensemble methods. Conduct research to explore new methodologies and tools in the field of speech processing, publish findings, and present at industry conferences. Continuously monitor and optimize system performance, focusing on accuracy, latency, and resource utilization. Work closely with product management, data science, and software engineering teams to define project requirements and deliver innovative solutions. Engage with customers to understand their needs and provide tailored speech solutions, assisting in troubleshooting and optimizing deployed systems. Establish and enforce best practices for code quality, documentation, and model management within the team. Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, or a related field. 5+ years of experience in speech processing, machine learning, and model deployment, with demonstrated expertise in leading projects and teams. In-depth knowledge of speech processing frameworks like Wave2vec, Kaldi, HTK, DeepSpeech, and Whisper. Experience with NLP, STT, Speech to Speech LLMs, and frameworks like Nvidia NEMO, PyAnnote. Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or Keras. Experience with large-scale ASR systems, speaker recognition, and diarization algorithms. Strong understanding of neural networks, sequence-to-sequence models, transformers, and attention mechanisms. Familiarity with NLP techniques and their integration with speech systems. Expertise in deploying models on cloud platforms and optimizing for real-time applications. Excellent leadership and project management skills. Strong communication skills and ability to work cross-functionally. Experience with low-latency streaming ASR systems. Knowledge of speech synthesis, STT (Speech-to-Text), and TTS (Text-to-Speech) systems. Experience in multilingual and low-resource speech processing.,

About the Role We are seeking a highly motivated and technically skilled Data Scientist to join our AI/ML Innovation team. This role focuses on developing cutting-edge solutions using Graph-based Retrieval-Augmented Generation (RAG) and fine-tuning Large Language Models (LLMs) to solve complex business problems and enhance decision-making capabilities. You will work closely with cross-functional teams including data engineers, ML researchers, and product managers to design, implement, and optimize intelligent systems that leverage structured knowledge graphs and advanced NLP techniques. Key Responsibilities Design and implement Graph RAG pipelines for enterprise-scale knowledge retrieval and contextual generation. Fine-tune LLMs (e.g., GPT, LLaMA, Mistral) using domain-specific datasets to improve performance on targeted tasks. Develop and maintain knowledge graphs and embeddings for semantic search and reasoning. Collaborate with engineering teams to deploy scalable AI solutions in production environments. Conduct experiments and evaluations to benchmark model performance and ensure robustness. Stay up-to-date with the latest research in NLP, graph neural networks, and LLM architectures. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. Experience in applied machine learning or NLP. Hands-on experience with LLM fine-tuning using frameworks like Hugging Face Transformers, DeepSpeed, or LoRA. Strong understanding of graph databases (e.g., Neo4j, RDF, DGL) and knowledge graph construction. Proficiency in Python and ML libraries (PyTorch, TensorFlow, Scikit-learn). Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer.

As a candidate for this position, you should hold a Bachelor's degree in Computer Science, Software Engineering, or Data Science. It is preferred to have a Master's degree in Artificial Intelligence. You should have 4-8 years of experience in working with Python and possess a high level of proficiency in the language. Your analytical and problem-solving skills should be exceptional. Your role will involve extensive experience with Generative AI, specifically working with Large Language Models (LLMs) such as OpenAI, Llama, and Claude. You should have proven expertise in Prompt Engineering and a strong understanding of NLP techniques including text summarization, question answering, and more. Proficiency in software design patterns is essential for this role. You should be able to write modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure) is required. Knowledge of Docker and Kubernetes is highly desirable. You should have a strong ability to rapidly prototype ideas and solve complex problems with innovative solutions. Experience working in an Agile development environment is a plus. Excellent communication and presentation skills are also necessary for this role.,

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.,

We are seeking a motivated AI/ML and Python Developer with 6 years + of experience to join our team. The ideal candidate will have a strong foundation in AI/ML technologies, Python programming, and a passion for solving complex problems. Key Responsibilities: Develop, deploy, and maintain AI/ML models and solutions. Integrate and optimize Large Language Models (LLMs) and Generative AI (Gen AI) technologies. Design and implement AI agents for automation and decision-making tasks. Collaborate with cross-functional teams to deliver scalable AI-driven solutions. Technical Requirements: Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with Gen AI, LLM integration (e.g., OpenAI GPT, Hugging Face), and AI agent development. Familiarity with data preprocessing, model training, and evaluation techniques. Knowledge of REST APIs, cloud platforms (e.g., AWS, GCP), and version control (e.g., Git). Understanding of NLP , computer vision, or reinforcement learning is a plus. Preferred Qualifications: Hands-on experience with Gen AI tools and frameworks. Must Have Good Command over LLM - NLP Techniques Proven ability to work on end-to-end AI/ML projects. Strong problem-solving and communication skills.

As an Individual Contributor at P50 level at Adobe Express, you will have the opportunity to develop cutting-edge ML models, platforms, and services, covering the entire ML lifecycle. Joining the AI Foundation Team, you will work towards developing a groundbreaking AI stack using internal and external technologies to enhance feature speed and quality, ultimately improving user experience at Adobe Express. Your responsibilities will include researching, designing, and implementing advanced ML models and pipelines for training and inference at scale. This will involve utilizing techniques in computer vision, NLP, deep learning, and generative AI. Additionally, you will integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling context-aware content generation and dynamic user experiences. Collaborating with cross-functional teams, you will translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Your role will also involve developing robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring high model quality and relevance. Leveraging distributed computing technologies and cloud infrastructures will be essential for handling large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Furthermore, you will implement reliable APIs and microservices that serve ML models to end users, ensuring alignment with standard methodologies in security, compliance, scalability, and maintainability. It will be crucial to stay updated on emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, the team plans to expand model coverage to include more creative tasks, improve model architectures for better latency and accuracy, and integrate federated learning or domain adaptation strategies to reach diverse audiences. To be successful in this role, you should hold a PhD, Masters, or Bachelors in Computer Science or a related technical field, with 14+ years of industry experience. Proficiency in Python and Java for ML model development, hands-on experience with TensorFlow and PyTorch, as well as expertise in computer vision and NLP techniques are required. Experience in developing and deploying RESTful web services and microservices architectures, along with proficiency in UNIX environments, Git, and Jenkins, will be beneficial. At Adobe, we celebrate creativity, curiosity, and continuous learning as essential components of your career growth journey. We are excited that you are considering a new opportunity with us, and we look forward to your potential contributions to our innovative team. Join us at Adobe and immerse yourself in an exceptional work environment where feedback flows freely and colleagues are dedicated to helping each other grow. If you are seeking to make a meaningful impact, Adobe is the place for you!,

At PwC, our team in data and analytics engineering focuses on utilizing advanced technologies and techniques to create robust data solutions for clients. You will be instrumental in converting raw data into actionable insights, empowering informed decision-making, and fostering business growth. If you specialize in artificial intelligence and machine learning, your primary responsibility will be developing and implementing cutting-edge AI and ML solutions to drive innovation and optimize business processes. Your tasks will include designing and refining algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with over 15 years of hands-on experience are preferred for this role. **Must Have:** - Knowledge of the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges - Understanding of conversational data (chats, emails, and calls) to train Conversational AI systems - Proficiency in CCaaS platforms like NiceCX, Genesys, Cisco, etc., including their architecture, functionalities, and integration capabilities - Familiarity with contact center metrics such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) - Understanding of sentiment analysis, topic modeling, and text classification techniques - Proficiency in data visualization tools like Tableau, Power BI, Quicksight, and others - Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics - Expertise in NLU Verticals: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI - Application of advanced statistical and machine learning techniques to analyze extensive datasets and create predictive models and algorithms to enhance contact center performance **Nice To Have:** - Proficiency in programming languages such as Python, Pyspark, R, SQL - Strong grasp of data science principles, statistical analysis, and machine learning techniques - Experience in predictive modeling - Skills in regression analysis, time series forecasting, clustering, and NLP techniques - Knowledge of distributed computing frameworks like Hadoop and Spark for processing large data volumes - Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for managing unstructured and semi-structured data - Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), along with ethical considerations in data science and responsible AI practices **Educational Background:** - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

At NiCE, we believe in pushing boundaries and challenging ourselves constantly. We are a team of ambitious individuals who are dedicated to being game changers and always strive to emerge victorious. If you are someone who shares our passion for excellence, we have an exciting career opportunity that will ignite a spark within you. The role revolves around the development of the next-generation advanced analytical cloud platform within Actimize's AI and Analytics Team. This platform aims to leverage data to enhance the accuracy of our clients" Financial Crime programs. As a part of the PaaS/SaaS development group, your responsibilities will include crafting this platform for Actimize's cloud-based solutions and working with cutting-edge cloud technologies. NICE Actimize stands as the leading provider of financial crime, risk, and compliance solutions for financial institutions globally. We value the contributions of every employee as crucial to our company's growth and triumph. To attract top talent worldwide, we offer a dynamic work environment, competitive compensation, benefits, and promising career prospects. Join us to share, learn, and grow in a challenging yet enjoyable setting within a rapidly expanding and esteemed organization. The primary objective of this role is to develop and execute advanced analytics projects comprehensively, covering aspects such as data collection, preprocessing, model development, evaluation, and deployment. You will be tasked with designing and implementing predictive and generative models to derive actionable insights from complex datasets. Your expertise in statistical techniques and quantitative analysis will be pivotal in identifying trends, patterns, and correlations in the data. Collaborating with Product, Engineering, and domain SMEs, you will translate business issues into analytical solutions. Moreover, mentoring junior data scientists, advocating best practices in code quality, experimentation, and documentation, is an integral part of this role. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a preference for an advanced degree (Master's or Ph.D.). You must possess 2-4 years of hands-on experience in data science and machine learning, including a minimum of 2 years in Generative AI development. Proficiency in programming languages like Python or R, along with experience in data manipulation and analysis libraries, is essential. A strong grasp of machine learning techniques, algorithms, LLMs, NLP techniques, and evaluation methods for generative outputs is required. Your problem-solving skills, ability to work independently and collaboratively, excellent communication, and leadership qualities are key attributes we seek. Preferred qualifications include prior experience in finance or banking industries, familiarity with cloud computing platforms, knowledge of data visualization tools, and a track record of contributions to the data science community. Hands-on experience with vector databases and embedding techniques would be advantageous. Join NiCE as we disrupt the market with our innovative solutions and global presence. Be part of a team that thrives in a fast-paced, collaborative, and creative environment, where learning and growth opportunities are endless. If you are passionate, innovative, and eager to excel, you might just be the perfect addition to our team. Experience NiCE-FLEX, our hybrid work model that offers maximum flexibility - 2 days in the office and 3 days of remote work each week. Office days focus on face-to-face interactions, fostering teamwork, collaborative thinking, and a vibrant atmosphere that sparks innovation and new ideas. If you are ready to embark on a rewarding journey with NiCE, apply now and seize the opportunity to work with the best of the best in a company that leads the market in AI, cloud, and digital domains. Requisition ID: 8296 Reporting into: Tech Manager Role Type: Data Scientist About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products, serving over 25,000 businesses worldwide, including 85 of the Fortune 100 companies. Our solutions deliver exceptional customer experiences, combat financial crime, and ensure public safety. NiCE software manages more than 120 million customer interactions and monitors over 3 billion financial transactions daily. Renowned for our innovation in AI, cloud, and digital technologies, NiCE has a workforce of over 8,500 employees across 30+ countries and is consistently acknowledged as the market leader in its domains.,

The ideal candidate for the position should have a Master's degree in Computer Science, Data Science, or a related field, with a preference for a Ph.D. They should have 8-12 years of experience in a Data Scientist or equivalent role, including at least 4 years of specialized experience in Generative AI. This experience should involve leading technical development, mentoring teams, and troubleshooting and debugging GenAI models in production. Additionally, candidates should have experience working with financial data, applying NLP techniques, developing and testing Python code for GenAI solutions, integrating with vector databases, and monitoring MLOps pipelines. It is essential for the candidate to stay up-to-date with the rapidly evolving GenAI landscape, continuously learn new tools and techniques, and communicate technical concepts clearly to non-technical stakeholders. Candidates must possess demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation, including deploying, monitoring, and maintaining models in a live environment. Proof-of-concept work alone is not sufficient. Candidates should have expertise in various technical areas such as data structures, algorithms, object-oriented programming, scientific computing (NumPy, Pandas, SciPy), machine learning (Scikit-learn, XGBoost, LightGBM), deep learning (TensorFlow, PyTorch), and GenAI (Transformers, LangChain). Specific skills in LLM architectures, RAG, Advanced Chatbot Architectures, Prompt Engineering, Fine-tuning LLMs, and API Development are required. Expert-level Python skills are mandatory, including proficiency in core Python and key libraries for AI/ML and GenAI applications. The candidate should have proven abilities in designing, developing, and deploying complex GenAI projects, a deep understanding of LLMs, RAG, and advanced chatbot architectures, and experience in designing scalable API architectures for GenAI applications. Preferred qualifications include experience with MLOps, cloud computing platforms, conversational AI solutions, research contributions in Generative AI, and building and managing large datasets for training GenAI models. Strong technical leadership, mentorship skills, and excellent communication and collaboration skills are also essential for this role. Overall, the candidate should be able to articulate the challenges and successes of deploying GenAI solutions at scale, effectively convey technical concepts to diverse audiences, and work collaboratively with stakeholders to meet their needs.,

We&aposre looking for a minimum of 2+ years experience and currently accepting only India based applicants . About Us We are a Stealth GenAI B2B Startup focused on revolutionizing the construction industry using Artificial Intelligence. Our team is composed of visionaries, researchers, and engineers dedicated to pushing the boundaries of AI to develop transformative solutions. Founded by a repeat founder who is an alumnus of IIT Madras who had previously built and exited successfully to a Fortune 1000 company. We are committed to using technology and innovation to disrupt the status quo and create the future. About the Role Were hiring a Founding AI Engineer to lead the design and implementation of our document intelligence systems. Youll be responsible for building scalable AI pipelines that extract structure, meaning, and insights from unstructured engineering design documents. This is a hands-on, high-impact role where youll help execute the document intelligence roadmap and product direction from the ground up. Key Responsibilities Build and optimize document processing pipelines for unstructured and semi-structured data Design and implement intelligent extraction systems using LLMs, OCR, and NLP techniques Design and refine pipelines that apply large language models (LLMs) to extract, structure, and validate information from construction documents, and free-text project documents Prototype, evaluate, and optimize techniques for information extraction, entity linking, data normalization, and confidence scoring Apply RAG (retrieval-augmented generation) and embedding-based search across large document sets Work with tools such as LangChain, CrewAI, Hugging Face, PyMuPDF, Tesseract, or Amazon Textract Integrate and fine-tune LLMs (e.g., OpenAI GPT-4, Claude, Mistral ) for domain-specific understanding Set up vector search and memory frameworks (e.g., FAISS, Pinecone) for contextual recall Deploy and iterate on systems for prompt tuning, relevance evaluation, and performance tracking across varied document types and project datasets Collaborate with product and engineering teams to embed document intelligence into core workflows Ensure accuracy, scalability, and observability of models in production Bridge the gap between research and production , transforming prototypes into scalable, production-ready AI components Required Skills & Qualifications 2+ years of experience in AI/ML with a strong focus on Information extraction from pdf documents Proven experience working with PDFs, scanned documents, structured and unstructured formats Hands-on with LLMs, embeddings, prompt engineering, OCR, and NLP libraries Proficient in Python and frameworks such as PyTorch, Hugging Face Transformers, or LangChain Experience building scalable inference pipelines and optimizing LLM performance Excellent problem-solving skills and ability to thrive in fast-paced, high-ownership environments Ability to work independently with attention to detail and take full ownership Strong communication and collaboration in agile cross-functional teams Passion for delivering high-quality, reliable, and scalable solutions Beyond Technical Skills What Were Looking For We&aposre building more than just software. Were building a team that thrives in a fast-paced, high-ownership environment. Heres what we value deeply beyond strong technical capabilities Startup Readiness & Ownership Bias for action: Youre someone who ships fast, tests quickly, and iterates with purpose. Comfort with ambiguity: Ability to make decisions with limited information and adapt as things evolve. Ownership mindset: You treat the product as your own - not just a list of tickets to complete. Resourcefulness: You know when to hack something together to keep moving, and when its time to build it right. Product Thinking User-Centric Approach: You care about the why behind what you&aposre building and understand the users perspective. Collaborative in Shaping Product: Youre comfortable challenging and refining product specs instead of just executing them. Strategic Trade-off Awareness: You can navigate choicesspeed vs scalability, UX vs tech debt, MVP vs V1with clarity. Collaboration & Communication Cross-Functional Comfort: You work well with product, design, and founders. Clear communicator: You can explain technical concepts in simple terms when needed. Feedback culture fit: You give and receive feedback without ego. Growth Potential Fast Learner: Startups change, and so do stacks. Willingness to learn is gold. Long-Term Mindset: Lot of opportunity to scale Mentorship Readiness: If you can bring others up as the team scales, thats a win. Startup Cultural Fit Mission-Driven: You care deeply about what youre building. Flexible Work Style: Especially if remote, please be flexible. No big-company baggage: No expectations of layered teams or polished specs. We move fast and build together. Why Join our Startup Shape the Future of construction technology through intelligent automation and smart workflows Ownership & Impact: See the results of your work in a fast-paced, high-impact startup environment Competitive Package: Market-aligned salary, and performance-based incentives Remote Flexibility: Hybrid/remote-friendly culture Work with Experts: Collaborate with leaders in AI, construction, and cloud-native development How to Apply Excited to drive innovation in one of the worlds largest industries Just fill out this quick form https://forms.gle/yCw6coGhjJzTJdZ69 to tell us about your experience and skills - it wont take long! Well review your info and get in touch if its a good match. Show more Show less

Morgan Stanley Senior AI Solutions Engineer_ Vice President _Software Engineering Profile Description Were seeking someone to join our team as Senior AI Solution Engineer will be a part of our Cyber Data Risk & Resilience team, to will play a key role in helping transform how Morgan Stanley operates. CDRR_Technology The Cybersecurity organization&aposs mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce. Firmwide Data Office Data COE team is distributed globally between New York, London, Budapest, India, and Shanghai; and are engaged in a wide array of projects touching all business units (Institutional Securities, Investment Management, Wealth Management) and functions (e.g., Operations, Finance, Risk, Trading, Treasury, Resilience) across the Firm. The team vision is a multi-year effort to simplify firms data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper, and easier. Software Engineering This is Vice President position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firms global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firms infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, theres ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team thats eager to create, innovate and make an impact on the world Read on What Youll Do In The Role As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You&aposll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. Work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You&aposll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. What Youll Bring To The Role Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability. Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Required Skills And Qualifications Master&aposs or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 6+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 85 years. At our foundation are five core values putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - arent just beliefs, they guide the decisions we make every day to do what&aposs best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, youll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. Theres also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Develop and deploy AI/ML and Deep Learning models Apply Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Autoencoders Work on NLP techniques Build predictive analytics and optimization pipelines Perform exploratory data analysis (EDA) Required Candidate profile Strong proficiency in Python 3–4 years of hands-on experience in AI/ML model development Expertise in Deep Learning architectures (CNN) Solid background in statistical analysis Strong knowledge of SQL

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years No. of openings: 2 About The Role We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models, leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Hands-on experience with LLMs, GenAI, and RAG architectures. Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms, deep learning architectures, and NLP techniques. Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn. Show more Show less

You will be responsible for training and mentoring students in data science fundamentals, advanced techniques, and practical applications. Your role will involve delivering engaging, hands-on sessions in Python for Data Science, Statistics, Machine Learning, Deep Learning, and NLP. You will guide learners through real-world problem-solving processes using tools and platforms like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras, Matplotlib, Power BI/Tableau, and SQL. Additionally, you will mentor students on end-to-end projects such as predictive modeling, NLP, computer vision, and business analytics. As a Data Science Instructor, you must possess a strong proficiency in Python programming and Data Science libraries, along with a solid foundation in Statistics, Probability, and Linear Algebra. Expertise in Machine Learning algorithms, Deep Learning, and NLP techniques is essential. You should also have experience with SQL, Power BI/Tableau for data visualization and analytics. Effective communication and teaching skills are crucial, as you will be simplifying complex topics for learners. Previous experience as a trainer/mentor in data science bootcamps, edtech, or academia is highly desirable. A degree in Computer Science, Data Science, Statistics, AI, or a related field is preferred. Your duties will also include preparing learners for technical interviews and job readiness in Data Science, AI, and Machine Learning roles. You will evaluate student progress through quizzes, coding assignments, and project reviews. Staying updated with the latest advancements in AI, Deep Learning, and Natural Language Processing is essential for this role. This is a full-time or freelance position with a contract length of 12 months. The benefits include food provided. The application deadline is 18/08/2025, and the expected start date is 18/08/2025.,

As a Mid-Level LLM Application Developer with 3+ years of experience in software development, you will have the opportunity to work on designing, developing, and deploying scalable LLM-powered solutions using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to bring innovative AI solutions to life, leveraging generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Extend digital products and platforms with new capabilities and LLM Apps. - Support the adoption of digital platforms and LLM Apps by onboarding new clients and driving automation for client adoption. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines and develop conversational agents and virtual assistants using frameworks like LangChain or LlamaIndex. - Integrate LLMs with external tools, APIs, and business data systems. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components to ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Strong proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage, GPT Model family, and integration. - Deep experience in prompt engineering and building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience building cloud-native services with serverless architectures. - Familiarity with NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelors degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,

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.,

Job Title: Gen AI Developer Location: Bangalore / Lucknow Role Type: Full-time, Senior level Companys website: https://usefulbi.com LinkedIn link: UBI LinkedIn Abo u t Us efu lBI: UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services. Role Overview: We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, youll work across the entire data science lifecyclefrom exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions. You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture. Key Responsibilities: Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini. Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning. Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications. Design, optimize, and evaluate prompts tailored for various use cases and user personas. Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy. Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning. Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs. Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering. Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK. Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI. Build scalable and secure inference pipelines integrated with backend systems and APIs. Use tools like MLflow and Docker for model lifecycle management and MLOps best practices. Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs. Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge. Required Skills and Qualifications: 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications. Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. Experience in end-to-end ML lifecycle including model development, validation, and deployment. Solid understanding of statistics, probability, and data modeling. Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers). Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning. Experience with SQL and at least one NoSQL database. Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git). Strong communication skills with the ability to explain complex models to non-technical audiences. Show more Show less

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

The Business Analytics Int Analyst is a developing professional role with the autonomy to solve complex problems independently. You will utilize your in-depth specialty knowledge and industry understanding to integrate with the team and other functions effectively. Your analytical thinking and proficiency in data analysis tools will be crucial in making informed judgments and recommendations based on factual information. Your role will involve dealing with variable issues that may have broader business impacts, requiring professional judgment in interpreting data and results. You will also need to communicate complex information in a systematic and understandable manner, demonstrating developed communication and diplomacy skills. The quality and timeliness of the service you provide will directly impact the effectiveness of your team and other closely related teams. Responsibilities: - Gather operational data from various cross-functional stakeholders to analyze past business performance. - Identify data patterns and trends to provide insights that enhance business decision-making capabilities. - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies. - Continuously improve processes and strategies by evaluating new data sources, tools, and capabilities. - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies. - Assess risks appropriately when making business decisions, ensuring compliance with laws, rules, and regulations. Role Description: - The role of Spec Analytics Intmd Analyst (C11) in the TTS Analytics team. - Reporting to the AVP or VP leading the team. - Working on multiple analyses throughout the year on business problems across the client life cycle for the TTS business. - Leveraging various analytical approaches, tools, and techniques to provide data-driven insights to business partners. - Contributing to ideation on analytical projects to tackle strategic business priorities. - Embracing ambiguity and open-ended questions as a core part of the team's work. Qualifications: Experience: - Bachelor's Degree with 6-8 years or Master's Degree with 4-6 years of experience in data analytics, or a relevant PhD. - Substantial experience in identifying and resolving business problems, utilizing text data, developing analytical tools, applying predictive modeling techniques, and working with diverse data sources. Skills: Analytical Skills: - Strong logical reasoning and problem-solving ability. - Proficiency in converting business problems into analytical tasks and deriving business insights from analytical findings. - Ability to work hands-on with data from big data environments. Tools and Platforms: - Prior experience with Graph databases like Neo4j and Vector database. - Proficiency in Python, PySpark, Hive, MS Excel, and PowerPoint. - Experience with PySpark and Tableau is a plus.,

Description We are looking for an experienced NLP Engineer to join our dynamic team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for building innovative solutions that leverage language data. Responsibilities Design and implement NLP models and algorithms for various applications. Collaborate with data scientists and software engineers to integrate NLP features into products. Conduct research on state-of-the-art NLP methods and apply them to solve real-world problems. Analyze large datasets to extract meaningful insights and improve model performance. Optimize and fine-tune models for better accuracy and efficiency. Skills and Qualifications 4-8 years of experience in Natural Language Processing or related fields. Strong programming skills in Python and familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face Transformers. Experience with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of statistical analysis and data mining techniques. Knowledge of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers. Experience in text preprocessing, feature extraction, and model evaluation metrics. Familiarity with cloud services (AWS, GCP, Azure) for deploying NLP solutions.

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

You are a Generative AI Software Engineer with over 3 years of experience, possessing strong expertise in Generative AI and Large Language Models (LLMs). Your role involves designing, developing, and implementing GenAI solutions customized to address various business challenges. It is crucial that you excel in Python programming and have hands-on experience in Retrieval-Augmented Generation (RAG) along with familiarity with Vector Databases. Your responsibilities include using Python to design and implement scalable GenAI solutions, leading the design and architecture of AI-driven solutions, working with Large Language Models (LLMs) for building customized solutions, and developing AI models that handle both text and speech data. You will also apply similarity search algorithms in vector space, leverage NLP techniques and LLMs to build conversational chatbots, and utilize vector databases for efficient data management in AI applications. Additionally, you will implement Retrieval-Augmented Generation (RAG) pipelines, develop ETL pipelines for data flow and preparation, conduct experiments and evaluations for optimal AI model performance, and ensure compliance with data privacy, security, and ethical standards. Your role also involves contributing to front-end development using React.js to build user interfaces for AI applications. It is essential that you are open to working in an agile and flexible environment, possess excellent presentation skills to engage with business users, and provide expert solutions to project issues for optimal service delivery and client satisfaction. Your willingness to learn new skills and technologies will be beneficial in this role.,