85 Nlp Techniques Jobs - Page 4

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.

Tech stack required: Programming languages: Python Public Cloud: AzureFrameworks: Vector Databases such as Milvus, Qdrant/ ChromaDB, or usage of CosmosDB or MongoDB as Vector stores. Knowledge of AI Orchestration, AI evaluation and Observability Tools. Knowledge of Guardrails strategy for LLM. Knowledge on Arize or any other ML/LLM observability tool. Experience: Experience in building functional platforms using ML, CV, LLM platforms. Experience in evaluating and monitoring AI platforms in production Nice to have requirements to the candidate Excellent communication skills, both written and verbal. Strong problem-solving and critical-thinking abilities. Effective leadership and mentoring skills. Ability to collaborate with cross-functional teams and stakeholders. Strong attention to detail and a commitment to delivering high-quality solutions. Adaptability and willingness to learn new technologies. Time management and organizational skills to handle multiple projects and priorities.

Let s do this. Let s change the world. In this vital role We are seeking a creative and detail-oriented UI/UX Engineer - Search to design and build intuitive, responsive, and accessible user experiences for our AI-driven search and knowledge discovery platforms. In this role, you ll work at the crossroads of design, technology, and science helping researchers, clinicians, and regulatory professionals quickly find the information they need to make life-saving decisions. Youll bring a strong sense of usability, accessibility, and design-thinking into a highly regulated, data-rich environment. Design elegant, user-friendly interfaces for search platforms that enable users to explore complex scientific and medical data. Translate user research, business needs, and technical requirements into wireframes, mockups, and high-fidelity prototypes Develop responsive and dynamic UI components using modern frontend frameworks (e.g., React, Angular, Vue). Integrate with search backends, APIs, and visualization tools to display search results, filters, ontologies, and metadata. Ensure UI performance, accessibility (WCAG/Section 508 compliance), and cross-browser compatibility. Design intuitive query experiences including search bars, faceted navigation, filters, result ranking, and interactive content previews Collaborate with AI/ML teams to integrate advanced features such as semantic search, auto-suggestions, Q&A interfaces, and generative answers conduct usability testing, A/B testing, and collect user feedback to continuously improve UX. Analyze usage data and search behavior to drive data-informed UX enhancements. Design and deliver high-quality UI/UX solutions for the web Create wireframes, interactive prototypes, and user flows. Conduct user research, usability testing, and competitive analysis to enhance user experience Analyze and identify pain points from the users perspective by conducting user research through interviews, observations, Gemba walks and other research methods Create Personas, Journey maps, empathy maps, and process maps of current and to-be state Ensure pixel-perfect, responsive, innovative, and interactive designs across different devices and platforms. Maintain design consistency and adhere to brand guidelines. Create Sketches, Wireframes, Mockups and Prototypes, ranging from low fidelity to high-fidelity based on the needs. Produce pixel-perfect interactive prototypes, Visual style guides, Icons and Red lines (Design specifications for developers) Ensure accessibility, SEO-friendly design, and usability best practices. Prepare and maintain necessary documents. Understand the business objectives and rationales behind high level product features; translate them into user flows, wireframes, mock-ups, and prototypes that lead to intuitive and easy-to-use user experiences Follow Amgen design standards and style guides to produce comprehensive deliverables encompassing user flows and UI wireframes to facilitate software development Familiarity with data mapping, transformation, and ETL processes Proficiency in SQL is highly valued: you dont need to be able to write SQL from scratch, but you should be able to interpret statements to assist in troubleshooting Experience with data governance principles will be highly valued. Understanding of database structures. Experience in overseeing the design and configuration of tests to measure incremental performance as well as configuring metadata to enable their measurement. How data can be used to power personalized experiences. The tools you will be using will include Jira, Figma, Lucidchart, CSS HTML, JavaScript expertise in creating intuitive, user-friendly interfaces and seamless user experiences. Convert complex requirements into elegant, intuitive, and functional designs. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Informing various stakeholders about any problems with the current technical solutions being implemented. Take ownership and accountability of the deliverables Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience Minimum 3+years of experience as a UI-UX designer Relevant experience or education in UX Design, Product Design Hands on experience with JavaScript, CSS HTML, Lucidchart, Figma designing, React Framework Redux, No SQL, Cloud CI/CD build pipelines Proficient in programming language React Framework Redux, GraphQL, RESTful API Development, Swagger / OpenAPI, Java Microservices API, Java Crawlers, TypeScript, Fast Python, Java Script, SQL/NoSQL, Dynamo DB, S3, Databricks, RDS, GCP Cloud Search, Solr Search, GCP Cloud engine Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in HTML, CSS, and JavaScript for developing basic static re-usable UI components Experience in Angular & React.js for creating reusable components, Databricks, SQL Experience with Web site development, understanding of web site localization process Experience with DevOps CICD build and deployment pipeline Experience in Agile software development methodologies Ability to communicate all phases of UX design, from initial concept through detailed screen designs. Excellent interaction design skills. Experience designing for technical or expert users. Detail oriented & Critical thinker. Problem solver, empathetic and is user centric Good to Have Skills Willingness to work on AI Applications Experience in Java, Python, Solr search, data bricks, RDS Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience with LangChain or LIamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

Technical Skills Experience: Programming Languages: Proficiency in Python for AI/ML model development.. Machine Learning Deep Learning: Hands-on experience with TensorFlow and PyTorch for model training and deployment. Data Science Analytics: Strong knowledge of scikit-learn, NumPy, and pandas for data processing and manipulation. Natural Language Processing (NLP): Expertise in text preprocessing, tokenization, embeddings, and NLP techniques. Large Language Models (LLMs): Experience with transformer models like GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Retrieval-AugmentedGeneration (RAG): Knowledge of RAG pipelines and experience with vector databases such as FAISS, Pinecone, or Chroma. Multi-Agent Systems: Familiarity with multi-agent frameworks like LangChain, LangGraph, or CrewAI. Data Handling Databases: Strong skills in data preprocessing, feature engineering, and working with SQL/NoSQL databases. API Development: Experience in building and deploying APIs using FastAPI, Flask, or Django. Version Control Collaboration: Strong understanding of Git/GitHub for version control and team collaboration. Hugging Face: Experience with Hugging Face for model training, deployment, and inference.

Description We are seeking an experienced NLP & LLM Engineer to join our team in India. The ideal candidate will be responsible for designing and implementing advanced NLP models and algorithms, as well as developing and fine-tuning large language models for various applications. This role requires a strong understanding of machine learning and natural language processing techniques, as well as the ability to collaborate with cross-functional teams to deliver innovative solutions. Responsibilities Design and implement natural language processing (NLP) models and algorithms. Develop and fine-tune large language models (LLMs) for various applications. Collaborate with data scientists and software engineers to integrate NLP solutions into products. Conduct research to improve the performance of existing NLP systems. Analyze and preprocess large datasets for training and evaluation of models. Stay updated with the latest advancements in NLP and machine learning technologies. Skills and Qualifications 3-8 years of experience in natural language processing and machine learning. Proficiency in programming languages such as Python, Java, or Scala. Experience with NLP libraries and frameworks such as NLTK, SpaCy, Hugging Face Transformers, or similar. Strong understanding of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). Familiarity with large language models (LLMs) and their applications. Solid background in statistics and data analysis. Ability to work with cloud platforms (AWS, GCP, Azure) for deploying NLP solutions. Excellent problem-solving skills and attention to detail.

We are seeking an experienced Gen AI and LLM Developer to design, develop, and deploy generative AI models and large language models (LLMs) for advanced natural language processing (NLP) tasks. The ideal candidate will have 6-9 years of experience with LLM architectures (e.g., GPT, BERT), deep learning frameworks (PyTorch, TensorFlow), and cloud platforms (AWS, GCP, Azure). Responsibilities include training and fine-tuning models, optimizing for performance, collaborating with cross-functional teams, and staying updated on the latest AI trends. Strong technical skills in Python, NLP techniques, model optimization, and distributed training are essential.Experience designing scalable system with Generative AI" and "Exposure to full stack development on .net or Java based platform

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. We invite applications for the role of Principal Consultant - Data Science Architect Job Description: We are seeking a highly experienced and visionary Data Science Architect to lead the design and implementation of scalable data science solutions across our organization. This role requires a strategic thinker with deep technical expertise in machine learning, data engineering, and analytics architecture. You will collaborate with cross-functional teams to drive innovation, optimize data workflows, and ensure the successful deployment of advanced analytics and AI solutions. Key Responsibilities: . Architect and implement end-to-end data science solutions, from data ingestion to model deployment and monitoring. . Collaborate with engineering, product, and business teams to define AI/ML strategies aligned with business goals. . Lead the selection and integration of data science tools, platforms, and frameworks. . Collaborate with data engineers, analysts, and business stakeholders to translate business problems into analytical solutions. . Define best practices for model governance, versioning, reproducibility, and scalability. . Mentor and guide data scientists and engineers on technical and architectural decisions. . Ensure data quality, security, and compliance across all data science initiatives. . Evaluate emerging technologies and trends in AI/ML to keep the organization at the forefront of innovation. Qualifications we seek in you! Minimum Qualifications . Bachelor%27s or Master&rsquos degree in Computer Science, Data Science, Statistics, or a related field (Ph.D. preferred). . experience in data science, with at least 2 years in an architect or lead role . Proven experience designing and deploying machine learning models in production environments. . Strong programming skills in Python, R, or Scala and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). . Expertise with with GenAI, LLMs, or advanced NLP techniques. Experience in building GenAI or LLM-based applications. . Familiarity with big data technologies (e.g., Spark, Kafka, Delta Lake) and modern data stack components . Experience in product engineering . Certifications in cloud architecture or data science. . Good understanding of cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow, etc.). . Excellent communication skills and the ability to influence technical and non-technical stakeholders. Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: AI Engineer Location: Onsite. Sangamner, Maharashtra About the Role: We are looking for a passionate and experienced AI Engineer to join our growing team. In this role, you will develop and deploy advanced AI and machine learning models that power our next-generation products and services. You'll collaborate with cross-functional teams to solve challenging problems, from data preprocessing and model design to deployment and optimization. Responsibilities: Design, build, and deploy machine learning and deep learning models. Collaborate with data scientists, product managers, and engineers to implement AI solutions into production. Work with large datasets; perform data cleaning, preprocessing, and feature engineering. Evaluate model performance using appropriate metrics and continuously improve model accuracy and efficiency. Stay current with the latest research and advancements in AI/ML technologies and tools. Build scalable and maintainable ML pipelines and APIs. Ensure ethical AI practices and model explainability where necessary. Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in AI/ML engineering, data science, or a related role. Proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP techniques. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus. Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Skills (Nice to Have): Experience with real-time inference systems or edge AI. Knowledge of data labeling tools and techniques. Exposure to reinforcement learning or generative models. Contributions to open-source projects or published papers.