6 Nltk Jobs nearby Chennai

In this role at Miratech, you will be working with Large Language Models (LLMs) to design, develop, and integrate advanced AI solutions within the platform. Your focus will be on automating data processing, generating actionable insights, and enhancing decision-making workflows through natural language understanding. **Responsibilities:** - Design, develop, and optimize NLP models for text processing, classification, and information extraction. - Apply machine learning and AI techniques to address real-world business problems. - Utilize DBT, Snowflake, and Airflow to create robust and scalable data pipelines that support ML workflows. - Conduct exploratory data analysis (EDA), feature engineering, and model evaluation. - Deploy and monitor models in production, ensuring performance and scalability. - Collaborate with cross-functional teams to translate requirements into actionable AI/ML solutions. - Document processes, models, and workflows to uphold reproducibility and knowledge sharing standards. **Qualifications:** - 2+ years of hands-on experience in NLP, Machine Learning, and AI. - Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SpaCy, NLTK, or HuggingFace). - Solid understanding of data modeling, ETL pipelines, and SQL. - Experience with DBT, Snowflake, and Airflow. - Familiarity with MLOps practices and deployment in cloud environments (AWS, GCP, or Azure). - Strong analytical and problem-solving skills with attention to detail. - Good communication and collaboration abilities. - Bachelors/Masters degree in Computer Science, Data Science, AI, or related field. At Miratech, you will benefit from the following: - **Culture of Relentless Performance**: Join a technology development team with a 99% project success rate and significant revenue growth. - **Work From Anywhere Culture**: Enjoy the flexibility of remote work. - **Growth Mindset**: Access professional development opportunities, certification programs, mentorship, and talent investment programs. - **Global Impact**: Collaborate on impactful projects for top global clients. - **Welcoming Multicultural Environment**: Thrive in an inclusive work environment with open communication and team-building events. - **Social Sustainability Values**: Contribute to sustainable business practices focused on IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.,

In this role at Ailaysa Technologies Private Limited, you will be responsible for designing, developing, training, implementing, and optimizing AI apps and workflows that enhance the translation and multilingual content creation platform. You will collaborate closely with cross-functional teams to build solutions that integrate domain-specific customization and fine-tuning. **Key Responsibilities:** - Design and develop structured, effective apps, tools, and prompts using industry best practices. - Implement and evaluate AI translation models using Seq2Seq transformers and BLEU score for performance assessment. - Build and optimize Generative AI models and implement Retrieval-Augmented Generation (RAG) pipelines to improve AI responses. - Collaborate with linguists to ensure prompts are linguistically accurate and culturally inclusive. - Apply NLP techniques to refine and enhance prompt effectiveness. - Stay up-to-date with advancements in AI language models and apply cutting-edge research to real-world applications. - Experiment with AI agentic frameworks and tools, including ReAct, Chain of Thought (CoT), and Tree of Thoughts (ToT) for prompt engineering. - Monitor AI model performance and adjust prompts based on feedback and results. - Work closely with cross-functional teams to troubleshoot AI-related challenges and contribute to continuous improvements. **Qualifications Required:** - Bachelors or Masters degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field. - Proficiency in Python with experience in AI and ML libraries like TensorFlow and PyTorch. - Strong understanding of machine learning concepts and deep learning architectures. - Experience with transformer models and Seq2Seq models for machine translation. - Understanding in developing and optimizing RAG pipelines. - Excellent research skills and the ability to stay updated with the latest advancements in AI technologies. - Effective communication skills in English, with the ability to write clear and concise prompts and documentation. - Familiarity with frameworks like Hugging Face hub, spacy, NLTK, transformers library.,

Role Overview: As a member of Hitachi Solutions India Pvt Ltd, you will be responsible for developing and implementing generative AI models using deep learning techniques. You will work with a team of industry leaders in a dynamic and rewarding environment, collaborating on challenging projects across multiple industries. Your role will involve utilizing your expertise in Python, machine learning libraries, and cloud-based platforms to deliver innovative AI solutions. Additionally, you will contribute to enhancing the company's profitability and success through your problem-solving skills and proactive mindset. Key Responsibilities: - Develop and implement generative AI models, utilizing deep learning techniques such as GPT, VAE, and GANs - Utilize Python and machine learning libraries/frameworks like TensorFlow, PyTorch, or Keras - Demonstrate strong knowledge of data structures, algorithms, and software engineering principles - Work with cloud-based platforms and services such as AWS, GCP, or Azure - Apply natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face - Utilize data visualization tools/libraries such as Matplotlib, Seaborn, or Plotly - Follow software development methodologies like Agile or Scrum - Solve complex problems creatively and think critically to develop innovative AI solutions - Communicate technical concepts effectively to a diverse audience - Collaborate independently and within a team in a fast-paced, dynamic environment Qualifications: - Degree in Computer Science, Artificial Intelligence, Machine Learning, or related field - Experience developing and implementing generative AI models with a strong understanding of deep learning techniques - Proficiency in Python and experience with machine learning libraries/frameworks - Strong knowledge of data structures, algorithms, and software engineering principles - Familiarity with cloud-based platforms and services - Experience with natural language processing (NLP) techniques and tools - Knowledge of data visualization tools/libraries - Understanding of software development methodologies - Excellent problem-solving skills and proactive mindset - Strong communication skills (Note: Additional information section omitted as it did not contain relevant details about the job role),

As a Python Developer specializing in Optical Character Recognition (OCR) and data extraction models at Cognibotz in Chennai, your role will involve designing, developing, and deploying intelligent data processing solutions. These solutions aim to extract structured information from unstructured documents and images. Key Responsibilities: - Design, develop, and optimize OCR-based data extraction pipelines using Python. - Implement and fine-tune models utilizing libraries such as Tesseract, EasyOCR, OpenCV, or PaddleOCR. - Build and maintain data preprocessing, feature extraction, and document parsing workflows. - Integrate OCR systems with internal APIs and databases to enable automated data flow. - Collaborate with data scientists, product managers, and backend engineers to deliver scalable solutions. - Conduct performance testing, error analysis, and continuous optimization of extraction models. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 4+ years of hands-on experience in Python development. - Proven expertise in OCR technologies like Tesseract, OpenCV, EasyOCR, and PaddleOCR. - Experience with NLP and text analytics frameworks (e.g., spaCy, NLTK, Transformers) would be advantageous. - Strong understanding of computer vision concepts, image preprocessing, and deep learning. - Familiarity with ML frameworks such as TensorFlow, PyTorch, or similar tools. - Experience in integrating models into production environments using REST APIs, Flask/FastAPI, etc. - Strong problem-solving, debugging, and analytical skills. Additionally, exposure to document layout analysis, PDF parsing, handwritten text recognition (HTR), cloud-based AI services (AWS Textract, Google Vision, Azure Form Recognizer), and knowledge of Docker, Git, and CI/CD pipelines would be considered as preferred qualifications. As a Python Developer specializing in Optical Character Recognition (OCR) and data extraction models at Cognibotz in Chennai, your role will involve designing, developing, and deploying intelligent data processing solutions. These solutions aim to extract structured information from unstructured documents and images. Key Responsibilities: - Design, develop, and optimize OCR-based data extraction pipelines using Python. - Implement and fine-tune models utilizing libraries such as Tesseract, EasyOCR, OpenCV, or PaddleOCR. - Build and maintain data preprocessing, feature extraction, and document parsing workflows. - Integrate OCR systems with internal APIs and databases to enable automated data flow. - Collaborate with data scientists, product managers, and backend engineers to deliver scalable solutions. - Conduct performance testing, error analysis, and continuous optimization of extraction models. Qualifications Required: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 4+ years of hands-on experience in Python development. - Proven expertise in OCR technologies like Tesseract, OpenCV, EasyOCR, and PaddleOCR. - Experience with NLP and text analytics frameworks (e.g., spaCy, NLTK, Transformers) would be advantageous. - Strong understanding of computer vision concepts, image preprocessing, and deep learning. - Familiarity with ML frameworks such as TensorFlow, PyTorch, or similar tools. - Experience in integrating models into production environments using REST APIs, Flask/FastAPI, etc. - Strong problem-solving, debugging, and analytical skills. Additionally, exposure to document layout analysis, PDF parsing, handwritten text recognition (HTR), cloud-based AI services (AWS Textract, Google Vision, Azure Form Recognizer), and knowledge of Docker, Git, and CI/CD pipelines would be considered as preferred qualifications.

As an AI Engineer at Wipro Technologies, you will play a crucial role in designing, developing, and managing multi-agent AI systems to meet diverse business demands. With 4 to 8 years of experience, you will contribute to creating scalable, efficient, and responsible AI-driven systems that seamlessly integrate with enterprise infrastructures. **Key Responsibilities:** - Lead the development and deployment of multi-agent systems, including constructing MCP servers and creating robust APIs using FastAPI to facilitate smooth system integration and consumer interaction. - Engage in sophisticated context engineering approaches like Retrieval Augmented Generation (RAG) and GraphRAG to optimize large language model (LLM) functionality tailored to specific use cases. - Implement advanced document processing workflows involving OCR and data extraction technologies, utilizing NLP and other AI methods to convert unstructured data into actionable formats accessible through APIs. - Collaborate with upstream and downstream system teams to ensure timely and accurate data exchange via API integration and Server-Sent Events (SSE), enhancing multi-agent system efficiency and reliability. - Ensure all AI and machine learning solutions comply with industry standards and Responsible AI guidelines, fostering ethical and transparent AI adoption throughout development and deployment stages. **Required Skills and Qualifications:** - Proficient in Python programming with hands-on experience using libraries such as Pydantic, FastAPI, Flask, pandas, NumPy, Matplotlib, NLTK, and scikit-learn for building and maintaining AI systems. - Familiarity with AI frameworks like FastMCP, Langchain, LangGraph, CrewAI, ADK, Autogen, among others, enabling the design and management of sophisticated AI agents and workflows. - Deep expertise in prompt engineering, model context protocols, and multi-agent design patterns to structure AI interactions effectively and efficiently. - Strong foundation in machine learning, natural language processing, and computer vision, with experience implementing models using TensorFlow and PyTorch. - Solid software engineering background with knowledge of scalable microservice architectures, API integration, and database management. - Master's degree in AI, machine learning, or related field, supported by 4 to 6 years of practical experience in AI solution delivery. - Understanding of LLM observability and evaluation tools such as Ragas and DeepEval, with the ability to analyze and improve model performance. - Capable of developing, debugging, and optimizing large language models and AI agents with a focus on reliability and scalability. - Experience automating data analysis, model development, validation, and deployment pipelines to ensure high-quality AI system delivery. - Strong problem-solving skills, collaborative mindset, and a passion for continuous learning and innovation in a fast-paced environment. In addition to the technical responsibilities, you will have the opportunity to work in a forward-thinking global organization driven by innovation and purpose. Wipro Technologies encourages a culture of collaborative working, learning agility, and client centricity. This role offers opportunities to impact cutting-edge AI projects, contribute to the evolution of responsible AI practices, and advance your professional career within a supportive and empowering environment. Embark on a journey of personal and professional reinvention where your skills and ambitions will thrive.,

As an AI/ML developer, you will be responsible for developing machine learning applications according to requirements. This includes selecting appropriate datasets and data representation methods, running machine learning tests and experiments, and working with machine learning frameworks like Keras or PyTorch, as well as libraries such as scikit-learn. Your key responsibilities will include: - Developing machine learning applications based on specified requirements - Selecting suitable datasets and data representation methods - Conducting machine learning tests and experiments - Collaborating with machine learning frameworks and libraries such as Keras, PyTorch, and scikit-learn The qualifications required for this role are: - Excellent communication skills - Ability to work effectively in a team environment - Exceptional analytical and problem-solving abilities - Experience in training and retraining systems - Minimum 4 years of experience in the AI/ML domain - Domain expertise in Object recognition and Natural Language Processing - Proficiency in visualizing and manipulating large datasets - Familiarity with OpenCV and NLTK If you have any additional details about the company, please provide them for inclusion in the job description.,

You will be responsible for designing, developing, and implementing AI solutions with a focus on Large Language Models (LLMs) and generative AI applications. Your main tasks will include: - Designing and implementing LLM-based applications using APIs from providers like Anthropic (Claude) and OpenAI - Building and maintaining Retrieval-Augmented Generation (RAG) systems for domain-specific applications - Creating efficient document processing and embedding pipelines - Developing, testing, and deploying scalable AI applications in production environments - Optimizing prompt engineering and context handling for LLM applications - Collaborating with cross-functional teams to understand requirements and deliver solutions - Writing clean, maintainable, and well-documented code - Contributing to the development of AI strategy and best practices - Staying current with the latest developments in AI/ML technologies and frameworks The qualifications required for this role include: - Bachelor's degree in Computer Science, Software Engineering, or related field - 3+ years of experience in Python development - Experience with LLM APIs (OpenAI, Anthropic, or similar) - Strong understanding of RAG architectures and vector databases - Experience with embedding models and semantic search - Proficiency in data processing libraries (NumPy, Pandas) - Solid understanding of NLP concepts and prompt engineering - Knowledge of software development best practices and version control (Git) - Experience with REST APIs and microservices architecture - Strong problem-solving and analytical skills Additionally, the following qualifications are preferred: - Master's degree in Computer Science, AI, or related field - Experience with cloud platforms (AWS, GCP, or Azure) - Knowledge of containerization (Docker) and orchestration (Kubernetes) - Experience with MLOps tools and practices - Experience building production-grade RAG systems - Background in prompt engineering and LLM application development - Experience with semantic search and embedding models - Contributions to open-source projects - Experience with distributed computing systems In terms of technical skills, you should be proficient in: - Programming Languages: Python (required), SQL - LLM Integration: OpenAI API, Claude API, LangChain, LlamaIndex - Vector Databases: Neo4j, Pinecone, Weaviate, or similar - RAG Frameworks: LangChain, LlamaIndex - Data Processing: NumPy, Pandas - Text Processing: NLTK, spaCy, sentence-transformers - Development Tools: Git, Docker, CI/CD - Cloud Platforms: AWS, GCP, or Azure - Database Systems: SQL and NoSQL databases Your soft skills should include: - Strong communication and collaboration abilities - Problem-solving mindset - Ability to work independently and in a team environment - Excellence in time management and organization - Adaptability and willingness to learn new technologies - Attention to detail and commitment to code quality,