12 Natural Language Processing Jobs

Skill required: Data Scientist - Data Science Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song?? all powered by the world??s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countri...

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

4+ years of experience in machine learning or NLP, with recent hands-on work in generative AI. • Strong programming skills in Python and experience with ML libraries like PyTorch, TensorFlow, Transformers (Hugging Face). • Experience working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models. • Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques. • Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate). • Proficient with tools like LangChain, LlamaIndex, or Haystack. • Experience with model evaluation, performance tuning, and safety constraints.

Role & responsibilities • At least 5 years of experience designing and implementing artificial intelligence systems. • Strong experience with machine learning, natural language processing, and computer vision technologies. • Proficiency in programming languages such as Python, Java, and C++. • Experience working with cloud computing platforms such as AWS, Azure, or GCP. • Strong analytical and problem-solving skills. • Excellent written and verbal communication skills. • Ability to work independently and as part of a team. • Strong leadership skills and ability to mentor other members of the AI development team. • Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorc...

As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization. Your primary responsibilities will include: Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development. Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making. Communicate Results:...

Responsibilities Translate business requests into data requirements, extract the required structured and unstructured data and prepare large-scale datasets for modelling Identify high-value use cases through data exploration and visualization Develop AI applications using state-of-the-art (Gen)AI technology Come up with concrete prototypes (MVP) to demonstrate their value to the customer Deploy prototypes to production, with support of Tech enabler team & IT, to obtain reliable, scalable systems Present your results in a clear manner and discuss them with multi-functional project teams Work in close collaboration with business experts (e.g. for requirement gathering, data source identificati...

Your role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc...

As a candidate with a strong passion for Generative AI and Natural Language Processing (NLP), you have the opportunity to join a team that is working on cutting-edge AI solutions using state-of-the-art technologies such as transformers, text generation, and sentiment analysis. Your role will involve building and fine-tuning Generative AI models, specifically focusing on NLP tasks. This is a fantastic opportunity for you to grow alongside a team of experts, tackle real-world challenges, and contribute to advancing the field of AI. Key Responsibilities: - Assist in the design and development of NLP systems for tasks such as text classification, sentiment analysis, named entity recognition (NER...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : SAP PP Production Planning Control Discrete Industries Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education """ Summary :We are seeking a forward-thinking professional with AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI frameworks within...

Role : Gen AI Engineer Location: AIA-Noida Exp: 3 to 12 years Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models w...

**Role Overview:** You are sought after as a BI Architect by Amgen, a company dedicated to utilizing biology and technology to combat challenging diseases and enhance people's lives. As a BI Architect, you will design and execute scalable BI architectures focusing on data modeling, visualization, governance, and self-service BI enablement. Your role will involve collaborating with data engineers, business stakeholders, and leadership to drive BI adoption and excellence in enterprise analytics. **Key Responsibilities:** - Design and implement enterprise BI architectures specifically focusing on TIBCO Spotfire hosted on AWS - Collaborate with data engineers and architects to ensure optimal dat...

Certifications & Skills: DRUID Certified Developer (or equivalent training in DRUID platform) NLP & Machine Learning Certifications (e.g., Microsoft Certified: Azure AI Engineer Associate, or equivalent) Knowledge of semantic search, vector databases (e.g., Pinecone, FAISS), and knowledge base management Understanding of dialogue management and conversation design Experience: Minimum 3 years of hands-on experience in designing, deploying, and maintaining complex, knowledge-driven chatbots using DRUID or similar platforms Demonstrated ability to optimize chatbot performance, accuracy, and user experience