847 Nlp Jobs - Page 3

As a Back-End Developer at our company, you will be responsible for developing an AI-driven prescriptive remediation model for SuperZoom, CBRE's data quality platform. Your primary focus will be on analyzing invalid records flagged by data quality rules and providing suggestions for corrected values based on historical patterns. It is crucial that the model you develop learns from past corrections to continuously enhance its future recommendations. The ideal candidate for this role should possess a solid background in machine learning, natural language processing (NLP), data quality, and backend development. Your key responsibilities will include developing a prescriptive remediation model to analyze and suggest corrections for bad records, implementing a feedback loop for continuous learning, building APIs and backend workflows for seamless integration, designing a data pipeline for real-time processing of flagged records, optimizing model performance for large-scale datasets, and collaborating effectively with data governance teams, data scientists, and front-end developers. Additionally, you will be expected to ensure the security, scalability, and performance of the system in handling sensitive data. To excel in this role, you should have at least 5 years of backend development experience with a focus on AI/ML-driven solutions. Proficiency in Python, including skills in Pandas, PySpark, and NumPy, is essential. Experience with machine learning libraries like Scikit-Learn, TensorFlow, or Hugging Face Transformers, along with a solid understanding of data quality, fuzzy matching, and NLP techniques for text correction, will be advantageous. Strong SQL skills and familiarity with databases such as PostgreSQL, Snowflake, or MS SQL Server are required, as well as expertise in building RESTful APIs and integrating ML models into production systems. Your problem-solving and analytical abilities will also be put to the test in handling diverse data quality issues effectively. Nice-to-have skills for this role include experience with vector databases (e.g., Pinecone, Weaviate) for similarity search, familiarity with LLMs and fine-tuning for data correction tasks, experience with Apache Airflow for workflow automation, and knowledge of reinforcement learning to enhance remediation accuracy over time. Your success in this role will be measured by the accuracy and relevance of suggestions provided for data quality issues in flagged records, improved model performance through iterative learning, seamless integration of the remediation model into SuperZoom, and on-time delivery of backend features in collaboration with the data governance team.,

As a Full Stack Developer specializing in AI projects, you will collaborate with engineers and product managers to understand requirements and translate them into technical specifications. Your responsibilities will include designing and implementing front-end interfaces using modern web technologies such as React and Angular, as well as building and maintaining back-end services and APIs to support AI applications using languages like Node.js, Python, and Java. Additionally, you will integrate machine learning models into production environments, ensuring their performance and reliability. You will optimize applications for speed and scalability, implement security and data protection measures, and conduct code reviews, write unit tests, and perform integration testing. Staying updated with the latest advancements in AI, machine learning, and web development technologies will be crucial, as well as troubleshooting and debugging issues across the stack. To excel in this role, you should have proven experience as a Full Stack Developer with a strong portfolio of AI projects. Proficiency in front-end technologies like HTML, CSS, JavaScript, and frameworks such as React and Angular is required. You should also be proficient in back-end technologies such as Python, Node.js, JavaScript, FastAPI, or similar, and have experience with machine learning frameworks and libraries like PyTorch, Scikit-learn, Redis, and Langchain. Familiarity with cloud platforms and services (AWS, GCP, Azure), a strong understanding of database technologies (PSQL and Vector), and experience with version control systems like Git are essential. Excellent problem-solving skills, attention to detail, and strong communication skills for a collaborative environment are also key. Experience with AI/ML model deployment and monitoring in production environments, knowledge of DevOps practices and tools like Docker and Kubernetes, and an understanding of natural language processing (NLP) and computer vision will be advantageous. Ideally, you should have experience with agile development methodologies, contributions to open-source projects, or publications in AI-related fields. This is a full-time position requiring a Bachelor's degree, with at least 1 year of experience in PyTorch, Scikit-learn, Redis, Langchain, Python, Node.js, JavaScript, FastAPI, or similar. Fluency in English is required for this in-person role located in Pune, Maharashtra. The expected start date for this opportunity is 29/04/2025. Benefits include paid sick time, paid time off, and a day shift schedule. Suitable candidates must be able to reliably commute to Pune, Maharashtra, or plan to relocate before starting work.,

Tezo is a new generation Digital & AI solutions provider, with a history of creating remarkable outcomes for customers. We bring exceptional experiences using cutting-edge analytics, data proficiency, technology, and digital excellence. Tezo is seeking passionate AI Engineers who are excited about harnessing the power of Generative AI to transform the company and provide cutting-edge solutions for clients. Join us in revolutionizing enterprises by building intelligent, generative solutions that leverage AI/ML. If you've ever dreamed of contributing to impactful projects on a large scale, this is the opportunity for you! In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying generative AI models. We actively respond to customers" evolving needs with innovative solutions, foster a positive and engaging work environment where collective ideas thrive, take ownership of our performance, maximize potential through continuous learning and improvement, and empower individuals to make informed decisions and take calculated risks. Job Summary: We are looking for a dedicated Data Scientist (Senior level) with a strong background in Generative AI to join our team. You will support product, leadership, and client teams by providing insights derived from advanced data analysis and generative modeling. In this role, you will collaborate closely with the development team, architects, and product owners to build efficient generative models and manage their lifecycle using the appropriate technology stack. Core Requirements: - 5+ years of experience working as a Data Scientist. - Proven experience in building production-grade Retrieval-Augmented Generation (RAG) solutions with hands-on experience with advanced RAG techniques for retrieval, re-ranking, etc. - Build GenAI applications using LangChain, LlamaIndex, and familiarity with Vector Stores and Large Language Models. - Experience in fine-tuning Large Language Models (LLMs) for business use cases will be preferred. - Minimum of 4 years of experience in developing end-to-end classical machine learning and NLP projects. - Demonstrated experience in deploying ML solutions in production using cloud services like Azure, AWS. - Business Understanding, Stakeholder management, and Team leading skills. - Strong practical expertise in Python and SQL needed for data science projects. Join us at Tezo to be part of a dynamic team committed to driving innovation through Generative AI solutions!,

As a Data Science Developer in Indore, you will be responsible for formulating, suggesting, and managing data-driven projects to advance the business's interests. Your duties will include collating and cleaning data from various sources for junior data scientists, delegating tasks to ensure project success, and monitoring the performance of junior team members while offering guidance. You will utilize advanced statistical procedures to derive actionable insights, cross-validate models, and produce non-technical reports on project outcomes. Additionally, you will propose strategies to apply insights to business decisions and stay updated on Data Science advancements. To qualify for this role, you should hold an advanced degree in data science, statistics, computer science, or a related field. You must have extensive experience as a data scientist and be proficient in Python, Numpy, Panda, Scikit Learn, SQL Stream, or similar AWS services. A strong grasp of SQL, machine learning principles, and a track record of leading data-centric projects are essential. Your exceptional supervision and mentorship skills, coupled with the ability to create a collaborative work environment, are crucial for success in this position. Compliance with ethical standards is also expected.,

As a .Net AI Developer at Unified Cloud Pvt. Ltd., you will be an integral part of the Azure Open AI Solution Team in Noida. Unified Cloud LLC, a leading provider of cloud modernization and migration services focusing on Azure technologies, is looking for an experienced professional to enhance their cloud services with AI-driven innovation. Your responsibilities will include creating and maintaining web-based applications using cutting-edge .NET technologies such as ASP.NET, C#, MVC, and Web API. Collaborating with the team, you will define software requirements and technical designs while ensuring clean, efficient, and well-documented code adhering to industry best practices. Additionally, you will implement front-end interfaces using HTML, CSS, and JavaScript frameworks like Angular, React, or Vue.js, along with designing and optimizing relational databases for optimal performance. To excel in this role, you should demonstrate proficiency in SQL, MVC, .NET, and Azure Cloud, with expertise in AI/ML technologies, especially Azure OpenAI. Your programming skills in languages like C#, Python, and R will be crucial, along with familiarity in AI technologies such as LLM, NLP, and DL. A comprehensive understanding of cloud services, particularly Azure, and adaptability to a dynamic work environment are essential. Preferred skills include experience with Azure OpenAI, general AI, and Generative AI, as well as knowledge of other cloud platforms like GCP and AWS. If you are passionate about cloud technology and AI-driven innovation, and if you meet the requirements mentioned above, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and contributions you can bring to our team. For more details or to apply for this position, please contact us at snehlataj@unifycloud.com.,

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

You will be responsible for architecting and delivering Automation and AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. Working closely with business stakeholders, you will understand business requirements and design custom AI solutions to address complex challenges. This role offers the opportunity to accelerate AI adoption across the business landscape in the Statistical Applications and Data domain. Your key responsibilities include defining and leading AI use cases in clinical projects from start-up through close-out. This involves tasks such as protocol development, site management, and data review. To excel in this role, you must be a proficient programmer capable of developing AI solutions thoroughly. Additionally, you will be expected to coach and mentor junior AI/ML engineers to enhance and accelerate AI adoption in business processes. Required Technical Skills: - Bachelors degree in a relevant scientific discipline (e.g., Biomedical engineering, Life Sciences, Nursing, Pharmacy) or clinical background (e.g., MD- Doctor of Medicine OR RN - Registered Nurse) - Advanced degree (e.g., Masters or Ph.D.) in Data Science, AI/ML - Overall experience of 10-12 years with a minimum of 5-7 years in clinical research, particularly managing clinical trials in pharmaceutical, biotechnology, or contract research organization (CRO) settings - Minimum of 5-7 years of experience in AI research and development, specifically focusing on healthcare or life sciences applications - Strong understanding of clinical trial regulations and guidelines, including Good Clinical Practice (GCP), International Conference on Harmonization (ICH), and applicable local regulations - Proven track record in designing and delivering AI solutions, emphasizing foundation models, large language models, or similar technologies - Experience in natural language processing (NLP) and text analytics is highly desirable - Proficiency in programming languages such as Python, R, and experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face - Knowledge of libraries such as SciKit Learn, Pandas, Matplotlib, etc. - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus - Experience working with large datasets, performing data pre-processing, feature engineering, and model evaluation - Proficiency in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions In summary, this role requires a seasoned professional with a strong background in AI, clinical research, and technical expertise to drive innovation and AI adoption in the pharmaceutical domain, particularly in clinical settings.,

As an AI/ML Manager at a high-end start-up AI Strategy and Consulting company in Mumbai/Bengaluru, you will lead and mentor a team of AI/ML consultants. Your main responsibilities will include driving the design, development, and implementation of AI copilots to enhance organizational efficiency. You will be involved in data pre-processing, feature engineering, model training, and optimizing machine learning algorithms. Furthermore, you will integrate AI copilots into existing systems, analyze data to provide insights, and collaborate with cross-functional teams to address business requirements. Working closely with clients, you will tailor solutions to their specific needs, offer technical guidance, and support the project lifecycle. Your role will also involve driving continuous improvement initiatives, identifying areas for optimization and innovation to maximize client value. To excel in this role, you should have at least 4 years of experience in consulting, project management, or related roles, with a focus on healthcare and/or CPG industries. Experience in natural language processing (NLP) and/or computer vision (CV) would be advantageous. Additionally, knowledge of containerization technologies, microservices architecture, and DevOps practices for continuous integration and deployment is preferred. You are expected to have a deep understanding of data analytics, data strategy, and digital transformation methodologies, with practical experience in implementing data-driven solutions. Familiarity with AI technologies, machine learning algorithms, and NLP techniques is essential. If you have contributed to open-source projects or publications in relevant conferences/journals, it would be a plus. As part of the selection process, you will undergo 2 technical assessments followed by an HR discussion. Your expertise, best practices, and mentoring skills will contribute to the growth and development of the organization. Join us in reimagining workflows, modernizing data infrastructure, and delivering tailor-made AI solutions to our clients.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

As a part of the Talent Acquisition team at Tesco, you will play a crucial role in representing Talent Acquisition in various forums and seminars related to process, compliance, and audit. Additionally, you will be responsible for driving a Continuous Improvement (CI) culture, implementing CI projects, and fostering innovation within the team. Your role will involve engaging with business and functional partners to gain a deep understanding of business priorities. You will be required to ask relevant questions and translate the insights into an analytical solution document. This document will highlight how the application of data science can enhance decision-making processes. To excel in this role, you must possess a strong understanding of techniques for preparing analytical data sets from multiple complex sources. You will be expected to develop statistical models and machine learning algorithms with a high level of competency. Furthermore, you will need to write structured, modularized, and codified algorithms using Continuous Improvement principles. In addition to building algorithms, you will create an easy-to-understand visualization layer on top of the analytical models. This visualization layer will empower end-users to make informed decisions. You will also be responsible for proactively promoting the adoption of solutions developed by the team and identifying areas for improvement within the larger Tesco business. Keeping abreast of the latest trends in data science and retail analytics is essential for this role. You will be expected to share your knowledge with colleagues and mentor a small team of Applied Data Scientists to deliver impactful analytics projects. Your responsibilities will include leading solution scoping and development to facilitate the collaboration between Enterprise Analytics teams and Business teams across Tesco. It is imperative to adhere to the Business Code of Conduct, act with integrity, and fulfill specific risk responsibilities related to Talent Acquisition, process compliance, and audit. To thrive in this role, you will need expertise in Applied Math, including Applied Statistics, Regression, Decision Trees, Forecasting, and Optimization algorithms. Proficiency in SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS PowerPoint, and GitHub is also required. Additionally, having a basic understanding of the Retail domain and soft skills such as Analytical Thinking, Problem-solving, Storyboarding, and Stakeholder engagement will be beneficial. Joining Tesco's team in Bengaluru offers you the opportunity to be part of a multi-disciplinary team that aims to serve customers, communities, and the planet better each day. By standardizing processes, delivering cost savings, leveraging technological solutions, and empowering colleagues, Tesco in Bengaluru strives to create a sustainable competitive advantage. With a focus on reducing complexity and offering high-quality services, you will contribute to Tesco's mission of providing exceptional experiences for customers worldwide. Tesco Technology is a diverse team of over 5,000 experts located in various countries, including India. The Technology division encompasses roles in Engineering, Product Development, Programme Management, Service Desk Operations, Systems Engineering, Security & Capability, Data Science, and more. Established in 2004, Tesco in Bengaluru plays a vital role in enhancing customer experiences and streamlining operations for millions of customers and over 330,000 colleagues globally.,

As a global leader in assurance, tax, transaction, and advisory services, EY is dedicated to hiring and developing passionate professionals to contribute to building a better working world. At EY, you are offered a culture that values training, opportunities, and creative freedom, focusing not just on your current abilities but also on your potential for growth. Your career at EY is yours to shape, with limitless possibilities, motivating experiences, and continuous support to help you reach your professional best. EY has an exciting opportunity for the position of Senior Consultant in the National-Assurance-ASU - Audit - Standards and Methodologies team based in Kolkata. The Assurance team at EY aims to inspire confidence and trust in a complex world by protecting the public interest, promoting transparency, supporting investor confidence, and fostering talent for future business leaders. You will be involved in ensuring compliance with audit standards, providing clear perspectives to audit committees, and delivering critical information for stakeholders. Your responsibilities will include demonstrating technical excellence in audit analytics, foundational analytics, visualization, data extraction, risk-based analytics, and business understanding. Proficiency in databases, ETL, SQL, visualization tools like Tableau, Spotfire, or Qlikview, and experience in Machine Learning using R or Python is required. You should also have expertise in MS Office Suite, NLP, Web Scraping, Log Analytics, TensorFlow, AI, and Beautiful Soup. To qualify for this role, you should hold a qualification in BE/B.Tech, MSC in Computer Science/Statistics, or M.C.A, along with 5-7 years of relevant experience. EY is looking for individuals who can work collaboratively across various client departments, offer practical solutions to complex problems, and possess agility, curiosity, mindfulness, and positive energy. EY offers a dynamic work environment with a focus on skills development, learning, and career progression. As a part of EY, you will have access to personalized career journeys and resources to enhance your roles, skills, and opportunities. EY is dedicated to being an inclusive employer, ensuring the well-being and career growth of its employees while delivering excellent client service. If you meet the criteria mentioned above and are ready to contribute to building a better working world, apply now to join EY and be a part of a team committed to making a positive impact.,

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

You are seeking a seasoned Deputy Manager/Group Manager in Advanced Analytics for the Lifesciences/Pharma domain. Your primary responsibility will be to lead a dynamic team focused on assisting clients in Marketing, Sales, and Operations through advanced data analytics. Your proficiency in ML & DL Algorithms, NLP, Generative AI, Omni Channel Analytics, and Python/R/SAS is essential. Your role involves partnering with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value. You will maintain a broad understanding of pharmaceutical sales, marketing, and operations to develop analytical solutions in these areas. It is crucial to stay current with statistical/mathematical/informatics modeling methodology and justify the methods selected. You will also lead the team independently to implement & deliver complex project assignments and provide strategic leadership to build new capabilities within the group. Additionally, you will contribute to whitepapers and articles at the BU and organization level, develop and deliver formal presentations to senior clients, and possess strong interpersonal communication, teamwork, leadership, and self-management skills. You should bring an insatiable desire to learn, innovate, and challenge yourself for the benefit of patients. Eligibility criteria include a minimum of 4-10 years of experience in data analytics and 2-4 years of relevant experience in Healthcare/Lifesciences/Pharmaceutical domain. Technical skills required for this role include proficiency in Python or R for statistical and machine learning applications, expertise in various techniques like Regression, Classification Decision Trees, Text Mining, Natural Language Processing, Bayesian Models, and more. You should be able to build & train neural network architectures and have hands-on experience in NLP & NLG. Knowledge in LLMs and Cloud Platforms like Azure, AWS, GCP is essential. Exposure to big data technologies is a plus. Basic qualifications include a B.Tech/Masters in a quantitative discipline such as Applied Mathematics, Computer Science, Bioinformatics, Statistics, Ops Research, or Econometrics. Your role will involve making the impossible possible in the quest to make life better, bringing Analytics to life, and continuously learning to maximize your impact in the field.,

The Project Manager will be responsible for leading the planning and execution of all Robotic Process Automation initiatives. You will be an integral part of the Program management team and continually come up with ideas to strengthen our automation footprint. It is essential to keep yourself and the team updated with new automation tools and technology within the industry. Ensuring that all RPA projects are delivered in accordance with the defined RPA framework (specifically with Uipath) is a key aspect of this role. You will establish working relationships and routinely interface with project sponsors, business stakeholders, and technology partners. Additionally, you will drive and be part of various firm-wide capability creation workgroups such as OCR, NLP, and Machine learning. Maintaining a list of RPA opportunities with their current status and creating monthly metrics will be part of your responsibilities. You will also be required to create monthly/adhoc RPA presentations and shape messages effectively for senior management. In terms of project-specific responsibilities, you will need to understand processes and RPA opportunities in detail, taking the lead on opportunity assessments and business reviews. Driving regular project meetings, ensuring adherence to project milestones, tracking meeting minutes, and diligently following up on action items till closure are crucial tasks. Documentation must be completed and retained for all signoffs/checklists in SharePoint. Tracking risks/issues and escalating as needed to senior management will also be part of your role. Furthermore, you should possess excellent analytical, oral, and written communication skills. Proven project management experience, including the use of project plans, issue logs, and tools like Jira, is required. Strong skills in the Microsoft Office suite (e.g., PowerPoint, Excel, Word, Visio, and Project) are essential. A working knowledge of RPA/data management tools or experience in Agile/Scrum project management methodology will be advantageous. The ideal candidate should be flexible, self-driven, detail-oriented, and able to deliver timely without reminders. Experience in presenting reports and key messages to senior stakeholders, as well as in status reporting (project status, risks, issues, change controls, action items) to the working group, will be beneficial for this role.,

Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group, a global business line that combines market-leading expertise in strategy, technology, data science, and creative design to help CxOs envision and build what's next for their businesses. In this role, you will be responsible for architecting and implementing advanced generative AI models with a focus on applications like image and text generation, content creation, and synthetic data generation. You will also be developing, fine-tuning, and optimizing these models to ensure they meet performance, scalability, and business objectives. Applying solid data science principles, you will enhance AI/ML models using statistical analysis and machine learning techniques to improve accuracy and efficiency. Collaboration with data engineers, software developers, and product managers will be crucial to integrating generative AI models into products and services, aligning with business objectives. Staying updated with the latest advancements in AI/ML and generative AI, you will drive the adoption of new technologies and best practices within the team. Furthermore, you will be responsible for ensuring ethical AI implementation by designing and deploying AI models with ethical considerations, adhering to industry standards, and regulatory requirements. To be successful in this role, you should possess a bachelor's or master's degree in computer science, AI, Machine Learning, Data Science, or a related field, along with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models, proficiency in Python, and experience with AI development libraries such as TensorFlow and PyTorch are required. Additionally, familiarity with advanced techniques like Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning will be beneficial. Domain knowledge in NLP or computer vision related to generative AI applications is also desired. At Capgemini, we value flexible work arrangements to support a healthy work-life balance, whether through remote work or flexible work hours. Our career growth programs and diverse professions are designed to help you explore a world of opportunities. You will have the opportunity to equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner with a strong heritage trusted by clients worldwide. Our team members in over 50 countries work together to accelerate the dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. We offer end-to-end services and solutions leveraging strengths in AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. Join us in unlocking the value of technology to address a wide range of business needs.,

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office Date - 2nd August 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree - Hyderabad Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 5 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen

Profile : Machine Learning (Automation Developer) Experience: 6 -10 Years Location : Chennai Notice Period: Immediate // Serving Strong theoretical understanding of Machine learning algorithms , deep learning frameworks, and statistical modeling techniques. Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects. Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc. Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud ) and containerization technologies (e.g., Docker, Kubernetes) is a plus . Kindly share the Update CV at pooja.roy@esolglobal.com

About the Role: We are seeking a talented and experienced GenAI Developer with expertise in Python , Large Language Models (LLMs) , Natural Language Processing (NLP) , and AI agent development to join our dynamic team. The ideal candidate will work on the development and integration of cutting-edge AI solutions in cloud environments (AWS, GCP, Azure), integrating with CRM systems, and optimizing AI model performance. You will be responsible for developing AI agents , fine-tuning models using Hugging Face Transformers , and OpenAI technologies, and optimizing systems to meet business needs in a scalable and ethical manner. The role involves close collaboration with cross-functional teams, and youll be working on AI-driven features , APIs , and cloud integrations. Key Responsibilities: AI Model Development: Design, develop, and fine-tune AI models using OpenAI LLMs , Hugging Face Transformers , and advanced NLP techniques (e.g., prompt engineering , reinforcement learning from human feedback (RLHF) ). Cloud Integration: Develop, deploy, and optimize AI solutions on cloud platforms ( AWS , GCP , Azure ) ensuring scalability , reliability , and performance . API Development & Integration: Build and maintain APIs to integrate AI solutions with CRM platforms and third-party applications. Ensure seamless integration of AI agents into customer-facing systems. Model Interpretability & Transparency: Apply model interpretability tools to ensure transparency and ethical AI practices, and help explain AI model decisions to both technical and non-technical stakeholders. Continuous Learning & Optimization: Stay updated on the latest advancements in LLMs , AI agents , and Generative AI (GenAI) technologies. Continuously optimize the performance of AI models, focusing on accuracy, efficiency, and business needs. Collaboration & Innovation: Work closely with cross-functional teams to design innovative AI-driven features. Contribute to architecture decisions and AI system enhancements. Apply Agile development practices to ensure timely delivery. Candidate Profile: Education: A Bachelor’s degree in Computer Science , Artificial Intelligence , Information Technology , or a related technical field. Experience: 2 to 4 years of professional experience in AI development , with a strong focus on LLMs , NLP , Python , and cloud platforms . Proven experience with model fine-tuning , API development , and cloud integration is essential. Skills Required: Proficiency in Python with experience in Django or other web frameworks. Strong understanding of NLP techniques, including prompt engineering and reinforcement learning . Hands-on experience with Hugging Face Transformers and OpenAI models (GPT, etc.). Strong experience with cloud platforms ( AWS , GCP , Azure ) for deploying AI solutions. Familiarity with version control systems (GitHub, Git). Experience developing and consuming RESTful APIs for seamless third-party integrations. Familiarity with database technologies (e.g., PostgreSQL , MySQL , MongoDB ) and GraphQL is a plus. Preferred Skills: Knowledge of Generative AI (GenAI) frameworks (e.g., Azure OpenAI , DALL•E ). Experience with RAG (retrieval-augmented generation) techniques for improving model performance. Familiarity with tools like Jupyter Notebooks , Streamlit , and Flask for rapid prototyping. Experience with ethical AI practices and ensuring model transparency.

About the Company: Redesign Health is a global venture builder that empowers founders to launch and scale transformative healthcare companies. They assist founders in overcoming the unique challenges of healthcare innovation by providing an ecosystem and suite of capabilities that support ideation and diligence, commercial traction, and execution. Since 2018, Redesign Health has backed founders to launch over 65 companies, impacting the lives of more than 15 million patients and generating over $1 billion in revenue. The company believes in creating breakthrough innovations in global health technology through grit, technical excellence, and teamwork, seeking builders who share their ambitious vision. Introducing Redesign Health India, a new chapter in their mission to revolutionize healthcare innovation. The aim is to create, launch, and scale cutting-edge healthcare technology companies by leveraging both local and global expertise to address the continent's most critical healthcare challenges. The company is dedicated to launching AI-native healthcare ventures that transform how care is delivered and experienced. AI is deeply embedded into all operations, empowering the team to focus on complex challenges and high-impact opportunities. Redesign Health is looking for curious, adaptable individuals excited to explore new ways of working, constantly experiment, and push boundaries at the intersection of human ingenuity and artificial intelligence. About the Job: As the Venture Insights Senior Associate at Redesign Health, you will play a vital role in the organization, developing original research to validate and refine new business ideas before funding events. The company is seeking creative, curious, and collaborative individuals who are passionate about improving healthcare. Responsibilities: - Design and execute innovative quantitative and qualitative research to support Redesign Health, portfolio companies, and external partners" objectives, utilizing AI tools where appropriate. - Manage relationships with expert networks and venture traction vendors, and monitor associated research budgets. - Work across all stages of the research cycle, from early exploration to funding decisions. - Collaborate with cross-functional partners and build strong relationships with external partners. - Develop strong synthesis at the end of each study using NLP and generative AI tools. - Source advisors to Redesign Health's network and reputable individuals to provide an advantage to prospective founders. Requirements: - 8+ years of consumer insights or market research experience with innovation or new product development focus. - Experience in designing quantitative surveys, running qualitative research projects, usability studies, and concept testing. - Strong experience in leveraging AI tools for research processes. - Proficiency in qualitative, quantitative, and user-centered research methods. - Ability to synthesize qualitative research data and communicate findings effectively. - Comfortable presenting to stakeholders at various levels. - Thrives in a fast-paced environment using agile methodologies. Who You Are: - Manages complexity effectively. - Communicates well in various settings. - Driven to achieve results and help others do the same. - Technology innovator with a track record of leveraging AI and emerging technology tools effectively.,

Join Avoma and contribute to solving challenging NLP problems with the goal of enhancing the productivity of meetings. Avoma's intelligent meeting assistant aids professionals in gaining insights and automating common tasks necessary for business meetings. By utilizing cutting-edge NLP techniques, we aim to summarize meeting notes, extract key topics, and identify action items, enabling our users to focus on accomplishing their objectives effectively. As a Deep Learning / NLP Engineer at Avoma, you will be tasked with enhancing and constructing algorithms that extract crucial insights and topics from conversations. This role involves applying state-of-the-art NLP techniques to address complexities such as identifying various topics of interest and condensing meeting transcripts into concise notes using our insights engine. Responsibilities at Avoma include improving the Insights Engine, developing new models for production, collaborating with the engineering team to deploy models to customers, and staying abreast of the latest advancements in NLP research. Additionally, you will work with large datasets comprising over a million documents, develop and enhance Deep Learning models in TensorFlow, and apply advanced LLMs to solve intricate tasks. Requirements: - Minimum of 4+ years of experience in Machine Learning & NLP within a production environment - Proficiency in Python development and debugging - Familiarity with GPT, Claude, Gemini, or similar LLMs - Experience in developing and deploying scalable, high-performing, and clean code - Competence in training Deep Neural Networks - Proficiency in TensorFlow, PyTorch, or equivalent frameworks - Strong communication skills, both written and verbal - Demonstrated curiosity, self-motivation, and enthusiasm for tackling challenging problems Benefits: - Transparent salary structure ranging from INR 30,00,000 to INR 40,00,000, depending on experience - Stock Option Plan - Dynamic and collaborative work environment - Paid Time Off for Vacation, Sick Leave, and Public Holidays,

You are a highly skilled and experienced Python Developer with over 3 years of professional experience, seeking an exciting opportunity in the field of Machine Learning and AI. You will be joining our dynamic team at Chicmic Studios, where you will be responsible for developing and maintaining web applications using Django and Flask frameworks. Your expertise in deploying and managing applications on AWS will be crucial for optimizing performance and reliability. As a Python Machine Learning & AI Developer, your key responsibilities will include designing and implementing RESTful APIs using Django Rest Framework (DRF), integrating APIs for AI/ML models into existing systems, and creating scalable machine learning models using frameworks like PyTorch and TensorFlow. You will also be implementing transformer architectures for NLP and other advanced AI use cases, optimizing machine learning models through techniques such as hyperparameter tuning, and deploying them in production environments using tools like TensorFlow Serving and AWS SageMaker. To excel in this role, you must have a Bachelor's degree in Computer Science, Engineering, or a related field, along with a strong understanding of Python and its ecosystem. Your extensive experience with Django and Flask frameworks, AWS services, Django Rest Framework (DRF), and machine learning frameworks such as PyTorch and TensorFlow will be essential. Additionally, familiarity with SQL and NoSQL databases, MLOps practices, and front-end technologies will be beneficial. You should possess excellent problem-solving skills, the ability to work independently and collaboratively, and strong communication skills to effectively articulate complex technical concepts to non-technical stakeholders. Staying up-to-date with the latest industry trends and technologies, particularly in AI/ML, will be essential for delivering effective technical solutions and ensuring the success of our projects. If you meet the requirements and are passionate about leveraging Python, Machine Learning, and AI technologies to drive innovation, we encourage you to apply for this full-time position at Chicmic Studios, located at F273, Phase 8b Industrial Area Mohali, Punjab. Kindly contact us at 9875952836 for further details. Application Questions: - What is your Native & Current Location - What is your Highest Qualification Experience: - AI & ML: 2 years (Required) Work Location: In person,

As a Python AI/ML Developer with 4-5 years of experience, your main responsibility will be to design, develop, and maintain Python applications while ensuring code quality, efficiency, and scalability. You will collaborate with cross-functional teams to understand project requirements and deliver solutions that align with business objectives. Implementing AI/ML algorithms and models to solve complex problems and extract valuable insights from data will be a key part of your role. Additionally, you will be developing and maintaining RESTful APIs to integrate Python applications with other systems. It is essential to stay updated with the latest trends and technologies in Python development and AI/ML. To excel in this role, you should have a strong proficiency in Python programming, including object-oriented programming and design patterns. Experience with popular Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch is required. Knowledge of AI/ML concepts, algorithms, and techniques, including supervised and unsupervised learning, is crucial. Experience working with data pipelines and ETL processes is beneficial, and hands-on experience with chatbot applications is necessary. Excellent problem-solving and analytical skills are essential, along with the ability to work independently and as part of a team. Strong communication and documentation skills are also important. Preferred qualifications include experience with cloud platforms such as AWS, GCP, or Azure, knowledge of natural language processing (NLP) or computer vision, experience with machine learning deployment and operationalization, and contributions to open-source Python projects. Stay updated with the latest advancements in technology to enhance your skills and contribute effectively to the development of innovative solutions.,

You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,

ExertSense Solutions is a team of software professionals with over a decade of IT experience, dedicated to providing robust, scalable, reliable, secured, and affordable technology solutions globally. We offer services such as Enterprise Software Development, Mobile App Development, System and Server Migration, Dedicated Software Development teams, and IT Consultancy. This is a full-time hybrid role for a Generative Artificial Intelligence Architect at HCL Tech located in Noida, with flexibility for some remote work. As the Gen AI Architect, you will be responsible for implementing AI solutions, developing algorithms, analyzing data, and creating machine learning models to drive business outcomes. You should have a minimum of 12 years of experience in IT. Experience in cloud and AI architecture design for at least 5 years and software development for 3 years is mandatory for this role. Proficiency in Python, Java (and/or Golang), and Spring is required, along with expertise in AWS, Azure, Google Cloud, Kubernetes, and containerization. You should have AI expertise in machine learning model development, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), and NLP techniques. Additionally, experience with Hadoop and Spark, knowledge of AI ethics and governance, and familiarity with Agile and Scrum project management methodologies are essential. Desired skills and experience include API development and integration, knowledge of data storage solutions (SQL, NoSQL), AI model optimization and scaling, model evaluation and validation, monitoring and logging (Prometheus, ELK Stack), GenAI model utilization and MLOps, proficiency in Data Engineering for AI, including preprocessing, feature engineering, and pipeline creation, expertise in AI model fine-tuning, evaluation, and bias mitigation, and understanding of serverless computing, distributed systems, deep learning frameworks (TensorFlow, PyTorch), and emerging technology trends.,

As the leader of the AI Center of Excellence (CoE) at RMSI, you will play a crucial role in fostering innovation and excellence in AI-based solutions. Your responsibilities will include defining and executing the AI strategy in alignment with RMSI's business goals, leading the development and deployment of AI/ML models and solutions, collaborating with cross-functional teams to integrate AI into existing solutions, and ensuring the scalability, performance, and business impact of AI solutions. You will be expected to drive research and experimentation in machine learning, deep learning, computer vision, and predictive analytics, establish best practices and governance frameworks for AI development and deployment, collaborate with business leaders to understand their needs and translate them into AI solutions, and present progress, insights, and recommendations to senior leadership and external stakeholders. Furthermore, you will be responsible for building and mentoring a high-performing team of data scientists, ML engineers, and domain experts, fostering a culture of innovation, collaboration, and continuous learning within the organization. To be successful in this role, you should hold a B.Tech/M.Tech degree in Computer Science, Engineering, or a related field, with at least 15 years of overall experience, including a minimum of 6 years in AI/ML or data science roles. You should have proven experience in leading AI initiatives or Centers of Excellence in a corporate environment, strong programming and ML toolkit knowledge (such as Python and TensorFlow), and expertise in ML algorithms and OCR/NLP tools. Experience with cloud AI platforms (such as AWS, Azure, GCP) and modern ML frameworks (like TensorFlow and PyTorch) will be beneficial. Additionally, excellent leadership, communication, and stakeholder management skills, as well as experience in client engagement and cross-functional collaboration, are desired qualities for this role at RMSI.,