4 Nlp Frameworks Jobs

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

As an AI/ML Engineer at our growing company, you will play a crucial role in leading the development of an AI-powered customer support solution. Your primary responsibility will be to design, develop, and deploy a human-like conversational AI tool. This presents a unique opportunity for you to take ownership of the entire AI lifecycle, all while contributing to a groundbreaking product within a lean and agile environment. Your key responsibilities will involve AI and Machine Learning Development, where you will design, train, and fine-tune AI models for sentiment analysis, speech recognition, and conversational AI. Moreover, you will focus on building models that can adapt to regional dialects, informal language, and varying emotional tones, as well as developing and optimizing a self-training module that learns from human interactions. In the realm of Software Development, you will be tasked with designing and developing APIs for seamless voice-based interaction and system integration. Additionally, you will implement scalable and efficient backend architecture to support AI functionalities and construct front-end interfaces or dashboards for training, monitoring, and analytics purposes. Integration is another critical aspect of your role, where you will be responsible for integrating the AI tool with customer platforms such as CRMs, telephony systems, and email support tools. It will also be essential to ensure compatibility with third-party tools like Twilio, Zapier, or AWS Connect for voice functionalities. Your role will also involve Testing and Optimization, where you will conduct end-to-end testing to ensure high-quality performance and robustness. You will further optimize algorithms for real-time response and low latency to enhance user experience. Project Ownership will be a significant part of your responsibilities, requiring you to manage data preparation and processing pipelines. Collaborating with stakeholders to prioritize features for a minimum viable product (MVP) while staying up-to-date with the latest AI/ML tools and frameworks for continuous improvement will also be essential. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Your AI/ML Expertise should include proficiency in NLP frameworks, experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn, and knowledge of transfer learning and fine-tuning pre-trained models. Strong Python skills, familiarity with JavaScript or similar languages, experience with RESTful APIs, knowledge of databases, and basics of DevOps are also required. If you have worked on conversational AI or voice-based interaction systems, familiarity with telephony tools, hands-on experience in deploying AI solutions at scale, or experience in handling customer-facing AI tools for industries like e-commerce, banking, or insurance, it would be considered a plus. Your success in this role will be driven by your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Data Science.,

As a Python Developer at Innefu Lab, you will play a crucial role in the software development life cycle, contributing from requirements analysis to deployment. Working in collaboration with diverse teams, you will design and implement solutions that align with client requirements and industry standards. Your responsibilities encompass various key areas: Software Development: You will be responsible for creating, testing, and deploying high-quality Python applications and scripts. Code Optimization: Your role involves crafting efficient, reusable, and modular code while enhancing existing codebases for optimal performance. Database Integration: You will integrate Python applications with databases to ensure data integrity and efficient data retrieval. API Development: Designing and implementing RESTful APIs to enable seamless communication between different systems. Collaboration: Working closely with UI/UX designers, backend developers, and stakeholders to ensure effective integration of Python components. Testing and Debugging: Thoroughly testing applications, identifying and rectifying bugs, and ensuring software reliability. Documentation: Creating and maintaining comprehensive technical documentation for code, APIs, and system architecture. Continuous Learning: Staying updated on industry trends, best practices, and emerging technologies related to Python development. Required Skills: - Proficient in Python, Django, Flask - Strong knowledge of Regular Expressions, Pandas, Numpy - Excellent expertise in Web Crawling and Web Scraping - Experience with scraping modules like Selenium, Scrapy, Beautiful Soup, or URLib - Familiarity with text processing, Elasticsearch, and Graph-Based Databases such as Neo4j (optional) - Proficient in data mining, Natural Language Processing (NLP), and Optical Character Recognition (OCR) - Basic understanding of databases - Strong troubleshooting and debugging capabilities - Effective interpersonal, verbal, and written communication skills - Ability to extract data from structured and unstructured sources, analyze text, images, and videos, and utilize NLP frameworks for data enrichment - Skilled in collecting and extracting intelligence from data, utilizing regular expressions, and extracting information from RDBMS databases - Experience in web scraping frameworks like Scrapy for data extraction from websites Join us at Innefu Lab, where innovative offerings and cutting-edge technologies converge to deliver exceptional security solutions. Be part of our dynamic team driving towards excellence and growth in the cybersecurity domain.,

Looking Java Backend developer along with Artificial intelligence, Exp 6+ Years Location-Initially remote but PAN India hybrid(2 day WFO) The skill set that we needed is Java +AI as per client requirement Python is not a mandatory requirement. Also, Developer should possess AI experience. It can be either ML models or NLP frameworks like TensorFlow, PyTorch, etc. and not anything specific.