9 Ner Jobs

You will be responsible for developing, customizing, and maintaining applications for Oracle's JD Edwards management system to meet the specific requirements of clients. Your role will involve analyzing requirements, designing solutions, and utilizing appropriate development tools. It is essential to have 5-7 years of experience in participating as a developer for Oracle's JD Edwards ERP software, including implementations and migrations. You will be expected to conduct technical analysis of functional requirements, develop customized applications and solutions, and create localizations based on new legal resolutions. Your responsibilities will also include designing, developing, and customizing user interfaces, executing tests for applications, and documenting design, programming, and procedures. Additionally, you will be required to prepare technical documentation to contribute to user documentation, provide maintenance and support for applications, and resolve incidents while monitoring for any issues. Experience in implementing circuit improvements and preparing pre-production and production environments for implementation of developments will be valuable. The ideal candidate should have a background as a Systems Professional, Systems Engineer, Systems Graduate, or Programmer. Proficiency in JD Edwards Enterprise One (versions from XE to 9.2) is essential, along with knowledge of various technical aspects such as Media Objects, Table triggers, UDC, NER, C/C++ BSFN, UBE's, FDA, RDA, OMW, Power Forms, DEBUG, DEBUG C, EDIS, and Log interpretation. Strong programming skills in JDE Toolkit, C, C++, and PL/SQL are required, along with experience in Agile methodologies, BI Publisher, Oracle, SQL Server, testing tools, and operating systems like Linux and Windows. The successful candidate should possess technical English skills (minimum requirement), with intermediate/advanced English proficiency being desirable. Key competencies for this role include responsibility, proaction, sense of urgency, adaptability, critical thinking, analytical capacity, problem-solving skills, attention to detail and the whole, creativity, lateral thinking, teamwork, and effective communication.,

As an AI Engineer at GenAI & Applied ML, you will have the opportunity to work with cutting-edge AI technologies, particularly in Generative AI, Large Language Models (LLMs), and applied machine learning. Your role will involve designing, building, and deploying AI solutions using platforms like OpenAI, Hugging Face, and Cohere, specifically for applications in document intelligence, automation, and Q&A systems. You will collaborate with product and engineering teams to integrate AI features into scalable platforms, utilizing tools like Lang Chain, Flask, and AWS/GCP to deploy models effectively. Your key responsibilities will include integrating RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications, and developing NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT). Additionally, you will be automating data extraction, classification, and analysis using Python, Selenium, and web scraping tools, while utilizing frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains. To qualify for this role, you should hold a Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields, along with at least 1+ years of hands-on experience in building AI/ML models. Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn is essential, as well as familiarity with LLM orchestration frameworks, cloud platforms like AWS, GCP, or Azure, and a strong understanding of NLP, Computer Vision, or Recommendation Systems. Experience with SQL, data pipelines, and big data tools like Hadoop and Spark would be advantageous, along with a good understanding of explainable AI (XAI) and model interpretability. Nice to have for this role would be projects or experience in healthcare AI, document processing, or legal/finance AI applications, familiarity with Flask/Django for API development, and contributions to research or published papers in ML/NLP conferences. Join our team and be part of our mission to solve real-world problems through AI innovation and technology.,

You will be working as a computational linguist in Pashan, Pune on a full-time contractual basis. The ideal candidate should have an MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. Research publications in NLP, Semantics/Lexicology, or Discourse Studies are highly desirable. Your skill sets should include proficiency in Hindi and other Indian/foreign languages, linguistic typing, and dataset/lexicon creation. Experience in NLP Tagging, Annotation, and ML-labelled data entry is required. Familiarity with Ontologies, PoS taggers, NER, and other language processing tools (English/Hindi/Other Indian Languages) is expected. Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms will be beneficial. Your responsibilities will include Lexicon Testing & Creation. You should be capable of creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software. Collaboration within teams and proactive engagement in AI & NLP learning environments is essential. Additionally, you will contribute to ML-labelled data creation and domain-specific dataset development.,

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

Job title: AI/ML Developer Generative AI & Azure Platform Department: Saisystems Technology (SST) Location Pune (Work from Office) : 2nd Floor, Office No 4, Tara Heights, Mumbai Pune Road, Wakdewadi, Pune, Maharashtra, 411003 (no remote/hybrid work) Job overview: We are seeking a skilled and innovative AI/ML Engineer with deep expertise in Generative AI and Natural Language Processing (NLP). The ideal candidate will have hands-on experience designing, developing, and deploying solutions using large language models (LLMs) such as GPT-3 through GPT-6. This role involves fine-tuning domain-specific models, building NLP applications, and leveraging Microsoft Azure services to integrate AI capabilities into enterprise systems. You will collaborate closely with cross-functional teams including development teams, and business stakeholders to deliver responsible, ethical, and high-impact AI-driven solutions. Proficiency in Python and Azure platforms is essential, along with a strong grasp of NLP techniques such as Named Entity Recognition (NER), sentiment analysis, and text summarization. Responsibilities & Duties: Design, develop, and deploy Generative AI solutions using GPT models (GPT-3 to GPT-6). Build and fine-tune LLMs for domain-specific applications. Implement NLP techniques such as tokenization, NER, sentiment analysis, and text summarization. Develop and manage machine learning models using Azure Machine Learning Studio and Python. Utilize Azure OpenAI services to integrate LLM capabilities into enterprise applications. Design data pipelines and manage databases using Azure SQL for training and serving AI models. Apply parsing techniques to extract structured information from unstructured data. Collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven solutions. Ensure responsible and ethical use of AI models aligned with company policies Required Qualifications: Experience: 4+ years of experience in Python and AIML Technical Skills: Strong experience with Python for ML and NLP development. Proficient in using and fine-tuning GPT (3 to 6) and other LLMs. Solid understanding of NLP concepts and libraries (spaCy, NLTK, Transformers, etc.). Experience with NER, parsing, and text classification. Hands-on experience with Microsoft Azure services including: Azure OpenAI Azure Machine Learning Azure SQL Database Preferred Qualifications: Prior experience deploying LLM-based applications in production environments. Familiarity with prompt engineering and advanced LLM customization techniques Knowledge of responsible AI practices, model interpretability, and bias mitigation. Experience working with RESTful APIs and integrating AI services into web/mobile applications. Strong communication skills and ability to translate complex AI concepts to non-technical stakeholders Certification in Microsoft Azure AI or related cloud services is a plus. Key Performance Indicators: Model Accuracy & Performance: Accuracy, precision, recall, and F1 scores of deployed LLMs and NLP models. Azure Resource Utilization: Efficient usage and cost optimization of Azure Machine Learning, Azure OpenAI, and Azure SQL resources. Project Delivery Timelines: Adherence to deadlines for AI solution delivery and milestone completion. Model Fine-tuning Impact: Measurable improvement in model performance post fine-tuning for domain- specific use cases. Competencies: Technical Expertise: Deep understanding of Generative AI, LLMs (GPT-3 to GPT-6), and NLP techniques including tokenization, NER, sentiment analysis, and summarization. Project Ownership: Ability to independently manage tasks, prioritize deliverables, and meet deadlines in a dynamic environment. Collaboration & Communication: Strong interpersonal skills to work effectively with data scientists, engineers, and business stakeholders.

. Over 10+ years of experience in JD Edwards Development, primarily with an upgrade expertise with in-depth knowledge of JDE E1 Tools Set, including OMW, Form Design, Report Design, BSFN/NER, Data Dictionary, MBF, UDC, and C/C++ . Skilled in retrofitting JDE objects during major version upgrades and ensure compatibility and system integrity . Hands-on experience in JDE integrations and JDE Orchestrator (REST APIs), Logic Extensions, BSSV, and EDI methods . Advanced Report Writing/ One View Reporting, Table Conversion, Workflow & Distribution Lists . Expertise in handling UDOs like Form Extensions, Grid Formats, Form Personalization, and JET Charts (UX One) for enhanced user experiences . Strong troubleshooting, debugging, and problem-solving abilities to identify and resolve issues in both standard and custom objects . Good understanding on JDE modules like Inventory/Procurement/Finance/Sales & Distribution . Over 10+ years of experience in JD Edwards Development, primarily with an upgrade expertise with in-depth knowledge of JDE E1 Tools Set, including OMW, Form Design, Report Design, BSFN/NER, Data Dictionary, MBF, UDC, and C/C++ . Skilled in retrofitting JDE objects during major version upgrades and ensure compatibility and system integrity . Hands-on experience in JDE integrations and JDE Orchestrator (REST APIs), Logic Extensions, BSSV, and EDI methods . Advanced Report Writing/ One View Reporting, Table Conversion, Workflow & Distribution Lists . Expertise in handling UDOs like Form Extensions, Grid Formats, Form Personalization, and JET Charts (UX One) for enhanced user experiences . Strong troubleshooting, debugging, and problem-solving abilities to identify and resolve issues in both standard and custom objects . Good understanding on JDE modules like Inventory/Procurement/Finance/Sales & Distribution Career Level - IC4

. Over 9+ years of experience in JD Edwards Development, primarily with an upgrade expertise with in-depth knowledge of JDE E1 Tools Set, including OMW, Form Design, Report Design, BSFN/NER, Data Dictionary, MBF, UDC, and C/C++ . Skilled in retrofitting JDE objects during major version upgrades and ensure compatibility and system integrity . Hands-on experience in JDE integrations and JDE Orchestrator (REST APIs), Logic Extensions, BSSV, and EDI methods . Advanced Report Writing/ One View Reporting, Table Conversion, Workflow & Distribution Lists . Expertise in handling UDOs like Form Extensions, Grid Formats, Form Personalization, and JET Charts (UX One) for enhanced user experiences . Strong troubleshooting, debugging, and problem-solving abilities to identify and resolve issues in both standard and custom objects . Good understanding on JDE modules like Inventory/Procurement/Finance/Sales & Distribution . Over 9+ years of experience in JD Edwards Development, primarily with an upgrade expertise with in-depth knowledge of JDE E1 Tools Set, including OMW, Form Design, Report Design, BSFN/NER, Data Dictionary, MBF, UDC, and C/C++ . Skilled in retrofitting JDE objects during major version upgrades and ensure compatibility and system integrity . Hands-on experience in JDE integrations and JDE Orchestrator (REST APIs), Logic Extensions, BSSV, and EDI methods . Advanced Report Writing/ One View Reporting, Table Conversion, Workflow & Distribution Lists . Expertise in handling UDOs like Form Extensions, Grid Formats, Form Personalization, and JET Charts (UX One) for enhanced user experiences . Strong troubleshooting, debugging, and problem-solving abilities to identify and resolve issues in both standard and custom objects . Good understanding on JDE modules like Inventory/Procurement/Finance/Sales & Distribution Career Level - IC4

Roles & Responsibilities: AI/ML Development: 1. Model Development and Training: - Design, develop, and train machine learning models and algorithms to solve specific business problems. - Implement various machine learning techniques including supervised, unsupervised, and reinforcement learning. 2. Data Preprocessing and Analysis: - Perform data cleaning, transformation, and preprocessing to prepare data for model training. - Analyze and interpret complex data sets to identify patterns and trends. - NLP, nltk and NER are preferred. 3. Model Evaluation and Optimization: - Evaluate model performance using appropriate metrics and fine-tune models to improve accuracy and efficiency. - Implement model optimization techniques such as hyperparameter tuning and feature engineering. 4. Deployment and Maintenance: - Deploy machine learning models into production environments ensuring scalability and reliability. - Monitor and maintain models to ensure they continue to perform well over time. Python Development: Software Development: - Write clean, maintainable, and efficient Python code. - Develop and maintain Python-based applications, APIs(Flask and Fast API preferred) , and microservices. Code Review and Mentorship: - Conduct code reviews to ensure adherence to best practices and coding standards. - Mentor junior developers and provide guidance on best practices and development techniques. Integration and Testing: - Integrate machine learning models with existing systems and applications. - Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Automation and Scripting: - Automate repetitive tasks and workflows using Python scripts. - Develop and maintain automation tools and frameworks. Collaboration and Communication: - Collaborate with data scientists, data engineers, product managers, and other stakeholders to understand requirements and deliver solutions. - Participate in design and architecture discussions to shape the direction of projects. Documentation and Reporting: - Document code, processes, and methodologies to ensure knowledge sharing and maintainability. - Communicate findings, progress, and results to stakeholders through reports and presentations. Continuous Learning and Improvement: 1. Stay Updated with Industry Trends: - Keep up-to-date with the latest developments in AI/ML and Python technologies. - Experiment with new tools, libraries, and frameworks to improve existing solutions and processes. Problem Solving and Innovation: 1. Innovative Solutions: - Identify opportunities to apply AI/ML techniques to solve new and existing problems. - Propose and implement innovative solutions to improve business processes and outcomes. 2. Technical Challenges: - Tackle complex technical challenges and provide effective solutions. - Troubleshoot and resolve issues related to machine learning models and Python applications. Mandatory Skills: Strong proficiency in Python and its libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). NLP, nltk and NER hand on knowledge is required. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of software development principles, design patterns, and best practices. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Continuous learning mindset and adaptability to new technologies.

Hiring for Python AI Developer with one of the service based organization. Location- Pan India Role & responsibilities Mandate Skills:- Must have hands on experience fine tuning LLMs using project specific data and experience training complex models such a deep learning model. Responsibilities / Duties: Training AI models using OCR and LLMs Follow AWS Well-Architected Framework Following internal best practices for code monitoring and testing Ensure data confidentiality and HIPAA compliance Collaborate with other data scientist and divide work to finish the projects within the timeline Meet deadlines for weekly/bi-weekly meetings Collaborate with software engineers to deploy models in production Robust testing of models to ensure accuracy Create visualizations to communicate results to non-technical stakeholders QA/Application testing Testing and implementing NER models Compare feasibility of different models Skills: Big data Data cleaning Python Experience training complex models and fine tuning models AWS SageMaker Bedrock Lambda S3 API gateway Textract API CI/CD Version control Jenkins SQL OCR NER models LLMs Fine tuning (mistral, llama, and other open source models) Prompt tuning Familiar with huggingface packages Computer vision models for object detection and segmentatio What we seek: Able to code in python Have used AWS services like Sagemaker and Textract Knowledge of Gen AI and experience fine-tuning models Good understanding of Machine learning basics (know what metrics to use, and when) Good understanding of deep learning basics so they can tweak the models during fine-tuning Good understanding of NLP concepts, such as Named-Entity Recognition If interested kindly share your updated resume on asawari.kerkar@prodcon.com . Best Regards, Asawari Kerkar Training & Talent Acquisition Specialist Prodcon Tech Services Unlocking potential!