We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate willhave deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models.

Job Responsibilities Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP and other cognitive solutions that will drive significant business benefits. Lead AI R&D initiatives to include prototypes and minimum viable products. Work closely with multiple teams on projects like visual quality inspection, MLOps, Conversational banking, Demand forecasting, Anomaly detection etc. Build reusable and scalable solutions for use across the customer base. Create AI white papers and enable strategic partnerships with industry leaders. Align, mentor, and manage, team(s) around strategic initiatives. Prototype and demonstrate AI related products and solutions for customers. Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems). Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans. Identify new business opportunities and prioritize pursuits for AI. Participate in long range strategic planning activities designed to meet the Companys objectives and to increase its enterprise value and revenue goals. Build a great work environment that attracts and retains elite talent. Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes. Qualifications Bachelors degree (in a quantitative field such as CS, EE, Information sciences,Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning,AI,NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred 8+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks. Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors. Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products)using ML/AI/NLP/data science in one or more domains. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus. Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams. Understanding of the technologies like Python, Django, Flask HTML5, CSS3, Bootstrap Javascript, Backbone.js, Angular.js, Node.js, JQuery RDBMS: Prior experience in Google Cloud SQL, Graph/NoSQL, Bigtable, MySQL. MSSQLGoogle Cloud Platform - Google App Engine, GKE, Anthos

Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Data & AI Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling AI"and the data that fuels it all"to power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of AI potential and development of use cases that can transform business Proof of Concepts :Help design POCs and high-level solutions using AI or Gen AI analytics solutions to derive insights from data. Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing AI & Gen AI products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & AI and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their AI problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide AI & Gen AI strategy for our clients Through your expertise and experience, guide your team to suggest the right solutions to meet the needs of clients and help draw up practical implementation road maps that position them for long-term success Benchmark against global research benchmarks and leading industry peers to understand current & recommend AI & Gen AI solutions Conduct discovery workshops and design sessions to elicit AI & Gen AI opportunities & client pain areas. Utilize strong expertise & certification in any of the AI & Gen AI Cloud platforms - Google, Azure or AWS, in areas such as Machine Learning, NLP, Generative AI etc. Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Have a deep understanding of the Responsible AI & Gen AI framework as well as tools to engage the client in meaningful discussions and steer towards the right recommendation. Define an AI use case driven value realization framework and define business cases relevant to the client industry Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. Your experience counts! MBA from a tier 1 institute 5- 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience writing business cases (quantitative and qualitative) to support strategic business initiatives or Data & AI transformation 3+ years of experience in designing and building end-to-end Enterprise AI and Gen AI Strategic Solutions using Cloud & Non-Cloud platforms like Google Vertex and Gemini, Azure AI, Open AI, Co-Pilot, Amazon Bedrock, IBM Watson, DataRobot etc. Excellent understanding of Traditional AI, Gen AI, Agentic AI and Advanced Cognitive methods to derive insights and actions Good working knowledge in formulation of relevant guiding principles and platform components with expertise in Responsible AI frameworks is highly preferred 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & AI strategy recommendations as well as developing POCs Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred: Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Cloud AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

The Team: As a Senior Lead Machine Learning Engineer of the Document Platforms and AI Team, you will play a critical role in building the next generation of data extraction tools, working on cutting-edge ML-powered products and capabilities that power natural language understanding, information retrieval, and data sourcing solutions for the Enterprise Data Organization and our clients. This is an exciting opportunity to shape the future of data transformation and see your work make a real difference, all while having fun in a collaborative and engaging environment. You'll spearhead the development and deployment of production-ready AI products and pipelines, leading by example and mentoring a talented team. This role demands a deep understanding of machine learning principles, hands-on experience with relevant technologies, and the ability to inspire and guide others. You'll be at the forefront of a rapidly evolving field, learning and growing alongside some of the brightest minds in the industry. If you're passionate about AI, driven to make an impact, and thrive in a dynamic and supportive workplace, we encourage you to join us! The Impact: The Document Platforms and AI team has already delivered breakthrough products and significant business value over the last 3 years. In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Collaborate with a highly skilled and technically strong team Contribute to solving high complexity, high impact problems Responsibilities: Build production ready data acquisition and transformation pipelines from ideation to deployment. Being a hands-on problem solver and developer helping to extend and manage the data platforms. Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions Technical leadership: Drive the technical vision and architecture for the extraction project, making key decisions about model selection, infrastructure, and deployment strategies. Model development: Design, develop, and evaluate state-of-the-art machine learning models for information extraction, leveraging techniques from NLP, computer vision (if applicable), and other relevant domains. Data preprocessing and feature engineering: Develop robust pipelines for data cleaning, preprocessing, and feature engineering to prepare data for model training. Model training and evaluation: Train, tune, and evaluate machine learning models, ensuring high accuracy, efficiency, and scalability. Deployment and monitoring: Deploy and maintain machine learning models in a production environment, monitoring their performance and ensuring their reliability. Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the extraction process. Collaboration: Work closely with product managers, data scientists, and other engineers to understand project requirements and deliver effective solutions. Code quality and best practices: Ensure high code quality and adherence to best practices for software development. Communication: Effectively communicate technical concepts and project updates to both technical and non-technical audiences. What Were Looking For: 8-10 years of professional software work experience, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face) Experience with Apache Spark or other distributed computing frameworks for large-scale data processing. AWS/GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks. Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models . Experience with CI/CD pipelines for ML models, including automated testing and deployment. Docker & Kubernetes experience for containerization and orchestration. OOP Design patterns, Test-Driven Development and Enterprise System design SQL (any variant, bonus if this is a big data variant) Linux OS (e.g. bash toolset and other utilities) Version control system experience with Git, GitHub, or Azure DevOps. Excellent Problem-solving, Code Review and Debugging skills Software craftsmanship, adherence to Agile principles and taking pride in writing good code Techniques to communicate change to non-technical people Nice to have Core Java 17+, preferably Java 21+, and associated toolchain Apache Avro Apache Kafka Other JVM based languages - e.g. Kotlin, Scala C# - in particular .NET Core

Job Description: Python Developer with Azure, Data Science, and NLP Experience We are seeking an enthusiastic Python Developer with expertise in Azure, Data Science, Natural Language Processing (NLP), and experience working with Streamlit, Gradio, and Flask. As a Python Developer at our company, you will be involved in building cutting-edge applications, leveraging large language models, and deploying solutions using Azure cloud technologies. If you are passionate about pushing the boundaries of AI-driven applications and have hands-on experience with Streamlit, Gradio, Flask, and Hugging Face's large language models, we would love to have you join our team. Responsibilities : Collaborate with cross-functional teams to understand business requirements and design software solutions. Develop and deploy Python-based applications using Streamlit, Gradio, and Flask frameworks for interactive data visualization and AI-powered interfaces. Utilize Azure cloud services for seamless deployment, scaling, and management of applications. Apply data science and NLP techniques to implement advanced analytics and machine learning algorithms. Integrate and fine-tune large language models from Hugging Face, tailoring them to specific use cases. Explore and experiment with state-of-the-art NLP models to improve application performance. Work with large datasets and implement data preprocessing, cleaning, and transformation pipelines. Optimize application performance, responsiveness, and scalability for large user bases. Collaborate with data scientists to implement and integrate NLP-driven solutions into existing applications. Ensure the security and privacy of data throughout the development process. Conduct code reviews and adhere to best practices for code quality and maintainability. Stay updated on the latest advancements in NLP, data science, and cloud technologies. Requirements : Bachelor's degree in Computer Science, Software Engineering, or a related field. Proven experience as a Python Developer with strong knowledge of Python and relevant frameworks. Hands-on experience with Streamlit, Gradio, and Flask for developing interactive web applications.

Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production. ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting. NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applications Core Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management. BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar. Education: Bachelors or Masters degree in Computer Science / Data Science, or a related field.

Capita is hiring AI engineers for Pune location AI Engineer (Offshore IN ) Experience: 5 to 8 yrs AI Engineer will play a crucial role in the implementation and maintenance of cutting-edge artificial intelligence products. The responsibilities of this role will involve designing and developing artificial intelligence systems as well as refining and updating existing systems. Candidate should be AI & Gen AI practitioner with experience building data pipelines based on model chaining, with solid platform and infrastructure foundations. Ideal candidate will have a strong knowledge base and expertise for specific Gen AI applications. Technical skills and responsibilities Model chain libraries (e.g. Langchain) Expertise in database management systems (e.g., Postgres, Redis) Well-versed in software engineering practices LLM and Foundational models (AWS and Azure platform) NLP - Experience handling unstructured data and applying machine learning techniques, including Natural Language Processing within the context of Large Language Models. Model serving and Model lifetime management (accuracy, Testing etc.) Ability to perform prompt engineering to guide AI models effectively. Workable knowledge of AI and ML best practices for Model building, Automation, Neural network enrichment, Iterative learning, Black box problem-solving Deep proficiency using Python and asynchronous programming, specifically regarding software development principles, algorithms, data structures, and design patterns. Experience in writing and maintaining test cases to ensure code quality Deployment including pipelines Experience with cloud platforms (e.g., AWS, Azure) and distributed computing. Proficiency with Git for version control and collaborative development Strong problem-solving skills to troubleshoot and resolve software issues effectively Excellent communication skills for clear and concise interaction with team members and stakeholders Familiarity with Agile and Scrum methodologies Requirements Total IT experience of around 5 to 8 years with 2 years’ experience in relevant role Clear communication with product owner and other engineers regarding project timelines, delays, advancements, and progression Understanding of Engineering ethics, AI creation ethics Strong time management skills Dedication to high-quality work output Ability to work in a team and Effective communication skills to collaborate with diverse teams. Outstanding analytical and problem-solving skills Excellent problem-solving abilities and a passion for innovation. Interested candidates send the resume on varsharani.savale@capita.com Total Experience: Current CTC: Expected CTC: Offer in hand: Notice period:

We are seeking a highly skilled and motivated Data Engineer & ML/GenAI Specialist to join our growing Machine Learning team. In this unique role, you will be responsible for building and maintaining the critical data infrastructure that fuels our machine learning and Generative AI initiatives. You will leverage your expertise in data engineering, machine learning, and search indexing to manage the entire lifecycle of our data, from extraction and annotation to indexing and building data pipelines for our models. Your work will directly contribute to the development and deployment of innovative AI solutions. Your main objective is to index millions of records of data and make them searchable to extract them for machine learning team. Responsibilities: Data Indexing and Search: Design, implement, and maintain a robust indexing system for millions of business records (PDFs, DOCX files, and database metadata) using tools like Elasticsearch/OpenSearch/Solr. Develop and optimize search functionalities to enable efficient retrieval of relevant data for machine learning pipelines. Implement strategies for handling different data formats, including text extraction (OCR if necessary), cleaning, and normalization. Integrate metadata from databases with document content to enrich the index. Data deduplication and data anonymization. Data Annotation and Labeling Strategy: Define data annotation guidelines and workflows for various machine learning tasks. Evaluate and select appropriate data annotation tools and platforms. If required, create a small group of crowd sourcing for data annotation and labelling. Oversee the quality of annotated data and implement mechanisms for quality control. Data Pipeline Development: Build and maintain data pipelines to extract, transform, and load data from the index to support machine learning model training and inference. Develop APIs or interfaces to allow ML engineers to access and query the indexed data. Machine Learning and Generative AI Support: Collaborate closely with machine learning engineers to understand their data requirements and provide tailored datasets. Assist in feature engineering by extracting relevant features from indexed data for model consumption. Explore and implement methods for generating synthetic data to augment training datasets or address privacy concerns. Stay up-to-date with the latest advancements in ML and Generative AI to identify opportunities for improving data processes. Data Management and Governance: Ensure data quality, consistency, and integrity throughout the data lifecycle. Implement data versioning and lineage tracking for reproducibility. Adhere to data governance policies and best practices. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: Programming: Strong proficiency in Python. Machine Learning: Solid understanding of machine learning concepts, algorithms, and evaluation metrics. Familiarity with Generative AI models (e.g., GANs, VAEs) is highly desirable. Experience with NLP (Natural Language Processing) techniques. Search Indexing: Hands-on experience with Elasticsearch, Solr, OpenSearch or other relevant search indexing technologies. SQL: Proficient in SQL for database querying and manipulation. Data Extraction: Experience with libraries like Apache Tika, datasets, PyPDF2, textract, or similar for extracting text and metadata from various document formats. Cloud Platforms (Preferred): Familiarity with Azure platform and their data services. Knowledge of AWS/GCP will be an added advantage. Data Annotation Tools (Preferred): Experience with data annotation and techniques is a plus. Experience: 3+ years of experience in data engineering, with a focus on building and maintaining data pipelines for machine learning. Proven experience in indexing large datasets and developing search functionalities. Experience with data annotation and labelling processes is highly desirable. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Self-motivated and able to work independently, managing multiple priorities and deadlines. A passion for learning and staying at the forefront of data and AI technologies.

About Team Kensho Link is a machine learning service that allows users to map entities in their datasets with unique ID numbers drawn from S&P Globals world-class company database with precision and speed. Link started as an internal Kensho project to help S&P Global Market Intelligence and CapIQ integrate datasets more quickly into their platform. It uses ML based algorithm trained to return high quality links, even when the data inputs are incomplete or contain errors. Link leverages a variety of NLP and ML techniques to process and link millions of company entities in hours. As a team, we have expertise in classical ML algorithms and modern LLM-based tech stacks like RAG systems. About The Role As a Machine Learning Engineer, you will have end-to-end ownership of the Link application, driving its development and success. This role is perfect for you if you thrive on creating ML models and have a keen interest in the software engineering aspects of machine learning ( MLOps ). For example, y our responsibilities will include: Model deployment and optimization Debugging performance discrepancies between online and offline environments Ensuring feature synchronization Optimizing memory and compute resources Scaling ML systems for maximum efficiency Why Join Us? We are continuously expanding our portfolio of projects and are eager to find talented engineers who are excited about building and deploying state-of-the-art ML systems. We are seeking a mid-level Machine Learning Engineer who can help accelerate and refine our ML development cycle, setting new standards for prototyping, building, and maintaining cutting-edge ML solutions. What Youll Do Develop Advanced ML Models: Create innovative machine learning models to address complex business challenges and drive value. Enhance Model Performance: Identify and resolve performance gaps in existing models with creative and effective solutions. Leverage Unique Data: Work with proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build impactful solutions. Optimize Application Scaling: Efficiently scale ML applications to maximize compute resource utilization and meet high customer demand. Address Technical Debt: Proactively identify and propose solutions to reduce technical debt within the tech stack. Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement. Collaborate Across Teams: Partner with cross-functional teams, including Data, Product Management, Design, and Engineering, to ensure smooth operations and contribute to the future product vision. Lead ML Projects: Oversee the development of core capabilities by scoping and planning ML projects effectively. Enhance User Experiences: Collaborate with Product and Design teams to develop ML-based solutions that enhance user experiences and align with business goals. Who You Are Bachelor's degree or higher in Computer Science, Engineering, or a related field. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems. Strong proficiency in Python. Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation. Demonstrated effective coding, documentation, collaboration, and communication habits. Strong problem-solving skills and a proactive approach to addressing challenges. Ability to adapt to a fast-paced and dynamic work environment. [optional] Experience developing search or recommender systems [optional] Experience working with databases and other datastores [optional] Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, Semantic Kernel, LLamaIndex, etc. Technologies We Love Traditional ML: SKLearn, XGBoost, LightGBM ML/Deep Learning: PyTorch, Transformers, HuggingFace, LangChain Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS EDA/Visualization : Pandas, Matplotlib, Jupyter, Weights & Biases Tools/Toolkits: DVC, MosaicML, NVIDIA NeMo, LabelBox Techniques : RAG, Prompt Engineering, Information Retrieval, Data Embedding Datastores : Postgres, OpenSearch, SQLite, S3

Experience: 8 to 10 Years of relevant IT experience (Minimum 4 to 5 years in Data Science, AI/ML) Roles and Responsibilities: Solution Design: Architect, design and implement to solve complex AI/ML solutions that align with business objectives and integrate with existing systems. Also develop and apply supervised and unsupervised learning techniques on large datasets. Stakeholder Engagement: Collaborate with stakeholders to gather requirements and translate them into technical specifications. Technical Leadership: Guide and mentor development teams in AI/ML technologies solutions and best practices. Project Management: Manage AI/ML projects from ideation to deployment, ensuring they are delivered on time and meet quality standards. Innovation: Stay abreast of the latest AI/ML trends and technologies, driving innovation within the organization. Model Optimization: Optimize AI/ML models for performance, scalability, and reliability. Documentation: Develop and maintain detailed documentation for AI/ML solutions, including architecture diagrams, technical specifications, and user manuals. Create appropriate business value centric case studies, based on the actual projects that have been executed. Training and Support: Provide training and support to team members and end-users on AI/ML tools and solutions. Skills and Qualifications: Bachelors or Masters degree in Computer Science, or a related field. At least 5 years of experience in AI/ML solution architecture including RAG, LLM solutions, with a proven track record of successful project implementations. Expertise in programming languages such as Python or Java. Strong understanding of machine learning frameworks and Python AI libraries (e.g., TensorFlow, PyTorch, Pandas, Keras, matplotlib, scikit-learn). Strong knowledge of supervised and unsupervised AI learning techniques. Expertise in training and retraining AI models. Experience with cloud platforms (e.g., AWS, Azure) and their AI/ML services such as Claude, Bedrock, and other solutions such as GPT and NLP. Hands-on experience with creating AI prototypes for specific use cases. Should be well versed in creating solutions in response to customers RFIs/RFPs. Adept in Presentation material preparation and doing client presentations. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work collaboratively in a team environment. Leadership and mentoring abilities. Certifications: Relevant certifications in AI/ML, cloud computing, or solution architecture are a plus. Work Mode: Work from Home (WFH) is available; however, based on client requirements, Candidate may need to work from the office (WFO) in Hyderabad. Time Zone : US Travel: Candidates should be open to international travel if required for client projects.

Looking for candidates from Premium institutes education background. Hands on Exp with AI ML, Gen AI - LLM, NLP, Lang chain

Design and optimize AI chatbots using NLP, ML, and AI frameworks. Responsibilities include model training, accuracy improvement, API integration, and user interaction. Requires expertise in NLP, Python/JS, and cloud platforms.

Very Urgent: Python-trained Freshers / Jr.Python Developers Company: AurumData Solutions Location: Hyderabad Experience: 1-5 Years Work type: Work From Office Key skills: Python, AI, API/FastAPI, SQL/PostgreSQL, Javascript, HTML, CSS, BCrypt, numpy, matplotlib, PyTorch and Tensorflow, Integration, etc.. . Description: We are looking for (1-5 years or 0 years but strong Python/Full Stack developer background) to join our engineering team and help us create AI driven Web applications. Following are the criteria we are looking for: 1. Strong base in engineering and test-driven development of python applications. 2. Working knowledge of integrating AI models into full stack applications. 3. Experience in developing React Web applications and optimization of UI. 4. Good understanding of networking and debugging of full stack application. 5. Ability to virtualize and create application and service images. 6. Experience working in agile engineering workflows and dealing with dynamic requirements. 7. Good communication and team interaction Tool knowledge: 1. Python JUnit or similar unit test case framework, FastAPI, BCrypt, numpy, matplotlib, transformer model integration, PyTorch and Tensorflow, Triton server deployment and integration, CUDA integrations. 2. React Web application development, component driven development, State management with libraries like Redux 3. PostgreSQL, schema optimization 4. Docker, Git, VS Code Thanks & Regards, Madhavi Cheruku Talent Acquisition Lead Mobile No: +91- 6281840572 Email: madhavi@aurumdatasolutions.com Aurum Data Solutions (I) Pvt Ltd., (a subsidiary of Aurum Data Solutions Inc, USA) Unit #06B, The Headquarters, 10th floor, Wing-B, Orbit by Auro, Knowledge City, Raidurga, Hyderabad 500 019.

Join a Global Initiative: AI Ethics & Ethical Digital Transformation Are you a Data Scientist, LLM Developer, Machine Learning Engineer, or AI Researcher passionate about building ethical AI solutions ? Do you believe in the responsible development of Large Language Models (LLMs) and AI-driven digital transformation with a global impact? If so, we invite you to be part of an ambitious movement to shape AI Ethics, Governance, and Responsible Innovation . We are assembling a global team of hardcore AI programmers, ML engineers, LLM experts, researchers, and cybersecurity professionals willing to contribute their expertise to build AI solutions that prioritize ethics, fairness, and transparency . This is an opportunity to collaborate with top minds, drive meaningful change, and influence global AI policies . Who Should Apply? LLM Developers & AI Engineers Experienced in fine-tuning, deploying, and securing large-scale AI models Machine Learning & Deep Learning Experts Passionate about cutting-edge AI research and responsible AI design Data Scientists & AI Researchers – Working on AI fairness, bias mitigation, and risk assessments AI Governance & Policy Leaders – Experts in AI ethics, regulation, and compliance Cybersecurity & Privacy Experts – Advocates for AI security, data privacy, and adversarial robustness Tech Mentors & Educators – Willing to guide students, researchers, and startups in responsible AI adoption Startup Founders & Ethical Innovators – Interested in AI-driven, impact-first ventures Roles & Responsibilities AI Ethics & Governance – Contribute to ethical AI frameworks, regulatory policies, and responsible AI design LLM Optimization & Alignment – Build, fine-tune, and align LLMs for responsible AI applications Bias & Fairness Audits – Develop methodologies to detect and mitigate AI biases in real-world models Cybersecurity & AI Risk Management – Strengthen AI security against adversarial attacks and cyber threats Industry-Academia Partnerships – Facilitate research collaborations for AI ethics and compliance Student Mentorship & Training – Conduct AI workshops, research programs, and global AI challenges Thought Leadership & Research – Publish papers, case studies, and policy recommendations on AI ethics Why Join Us? Shape the Future of AI – Define responsible AI practices at a global scale Work with Global AI Leaders – Collaborate with top researchers, engineers, and policymakers Mentor the Next Generation – Empower students, researchers, and startups to build ethical AI No Corporate Bias, Pure Mission – A self-supported initiative dedicated to global AI ethics & welfare Work on Cutting-Edge AI Challenges – Address AI risks, cybersecurity threats, and ethical dilemmas Location & Commitment Remote & Global – Work from anywhere, collaborate across time zones Flexible Engagement – Contribute as per availability (mentorship, research, policy, or thought leadership) Freshers seeking assignments can also apply and encourage students and every professional who reads it, irrespective of their education background (Arts, Science, Humanity, Social Work, Media etc too to explore this opportunity) How to Apply? If you are ready to co-create the future of AI ethics & digital transformation , Express your interest by filling our questionnaire

Conduct advanced statistical analysis to identify trends, patterns, and insights. Develop and implement machine learning models for predictive analytics. Collaborate with cross-functional teams to gather and analyze data requirements. Clean and preprocess data for analysis using programming languages like Python or R. Create visualizations and reports to communicate findings to stakeholders. Stay updated on industry trends and emerging technologies in data science.

Develop models for underwriting, claims management, fraud detection, risk assessment. Use advanced ML techniques to analyze & enhance retention strategies. Process & analyze large datasets from various insurance systems to identify patterns. Required Candidate profile Proficient in Python & SQL for data analysis & modeling. Familiar with data science libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data visualization tools.

We are seeking a highly skilled and experienced Senior Python Developer with a strong background in Artificial Intelligence (AI) and expertise in PyTorch . The ideal candidate will lead development initiatives, build innovative solutions, and work on cutting-edge projects that leverage AI technologies. This role offers an exciting opportunity to work in a collaborative environment, solve complex challenges, and contribute to impactful projects. Key Responsibilities AI Model Development : Design, develop, and deploy AI/ML models using PyTorch for diverse applications. Software Development : Write clean, scalable, and efficient Python code to create robust software solutions. Research and Innovation : Stay updated with the latest advancements in AI/ML and recommend best practices for implementation. Optimization and Performance Tuning : Optimize models for performance, scalability, and deployment in production environments. Collaboration : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver high-quality solutions. Tool Integration : Integrate AI models into existing systems and workflows while ensuring seamless deployment. Documentation : Maintain comprehensive documentation for developed solutions, including APIs and technical specifications. Required Skills and Qualifications Programming Expertise : Strong proficiency in Python with extensive hands-on experience. AI/ML Expertise : Proven experience in building and deploying machine learning models, especially using PyTorch . Development Experience : Minimum of 5 years of professional experience in software development. Frameworks & Libraries : Deep understanding of PyTorch, TensorFlow (optional), Scikit-learn, Pandas, NumPy, etc. Cloud Computing : Experience with deploying AI solutions on cloud platforms like AWS, Azure, or GCP. Database Management : Familiarity with relational and non-relational databases (e.g., MySQL, MongoDB). Version Control : Proficient with Git and CI/CD pipelines. Understanding of LLM model (Large Language Model). Problem-Solving Skills : Strong analytical and problem-solving abilities with attention to detail. Soft Skills : Excellent communication, collaboration, and leadership skills. Preferred Skills Experience with NLP, Computer Vision , or other specialized AI domains. Experience with any Frontend language. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with DevOps practices and tools. Exposure to Big Data frameworks (e.g., Apache Spark, Hadoop). Certifications in Python, AI, or cloud platforms (AWS/GCP/Azure).

Hi We are Looking for Freelance GEN AI Consultant role for Tech Lead to Architect Level Are you comfortable to manage this job without effecting your primary activities : Yes or No Do you have work from home option for next 6 months to 1 year: yes or No: Pls mention What is your regular office official hour timings : Please mention your standup and Scrum, sprint and call timings: What timings you are more comfortable to Do your extra consultant Role : 10 AM TO 6 PM / 1 PM TO 10 PM / 6 PM To 2 AM , Please mention your convenient time: between 2 PM TO 11 PM OR 5 PM TO 1 AM? Which time you are more convenient : Please mention What is your pay expectations for month: Full Name: What is your Job Title and Designation/ Role : Please mention your Primary Skill Sets Secondary Skill Sets: Present location: Mobile Number: Whats app : Present company: Pls share all above details immediately for next steps Regards Krishna https://www.linkedin.com/in/krishna-j-59542987

( Embedding techniques MUST ) We are looking for high-energy generalists with a focus on NLP Engineer to deliver theoretically elegant algorithms, practically efficient and well-engineered solutions to complex problems. Skills we need: Build, improve and extend NLP capabilities Research and evaluate different approaches to NLP problems Must be able to write code that is well designed, produce deliverable results Write code that scales and can be deployed to production Ability to design and execute A/B tests through a framework Knowledge of association mining, named entity recognition and vector representations of textual data Knowledge of neural networks - RNN, LSTM Ability to apply machine learning to problems that deal with language Strong knowledge of Python, and general software development skills Strong knowledge in data structures and algorithms. Qualifications: 3+ years of work experience in data. Good communication skills with analytical and problem solving abilities. Must be a good team player. Should have led a team technically, responsible for POCs, designed the solution and provided the estimate as per requirements.

The Research Engineer - NLP will be responsible for developing and implementing advanced NLP algorithms and models to solve complex problems. The ideal candidate will have a deep understanding of machine learning, artificial intelligence, and NLP methodologies, with a proven track record of research and development in these areas. This role requires a strong background in both theoretical and applied aspects of NLP, along with excellent programming and analytical skills.

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. . Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. . Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.

Key Responsibilities: Provide expert guidance and leadership in the design, development, and deployment of GENAI-based chatbot solutions within the Azure platform. Collaborate closely with cross-functional teams, including AI engineers, UI designers, and product managers, to define project requirements and align on technical strategies. Lead the architectural design of chatbot conversational flows, intent recognition, and dialog management, integrating GENAI's generative capabilities. Develop and implement integrations with Azure services, such as Azure Bot Service, Language Understanding (LUIS), and Cognitive Services, to enhance chatbot functionality. Conduct in-depth analysis of user interactions and provide recommendations to optimize and enhance chatbot performance. Stay current with the latest trends in conversational AI, GENAI technology, and Azure services, contributing thought leadership and innovation to the organization. Mentor and guide junior team members fostering a culture of continuous learning and technical excellence. Collaborate with stakeholders to gather feedback and iterate on chatbot solutions to continually enhance user experience. Lead technical discussions, present findings, and provide strategic recommendations to executive leadership. Required Skill Set: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Advanced degrees are advantageous. Extensive experience in designing and developing GENAI-powered conversational AI solutions, ideally within the Azure ecosystem. Deep expertise in conversational design, natural language processing (NLP), intent recognition, and sentiment analysis. Proficiency in Azure services, including Azure Bot Service, LUIS, and Cognitive Services, for creating comprehensive chatbot experiences. Strong programming skills in languages like Python, C#, or JavaScript for implementing custom functionalities and integrations. In-depth knowledge of cloud platforms, particularly Azure, and experience in deploying solutions within a cloud-based environment. Exceptional problem-solving skills and the ability to lead in a dynamic and fast-paced environment. Strong communication and collaboration skills, enabling effective interaction with cross-functional teams and stakeholders. Experience mentoring and coaching junior team members to cultivate a culture of excellence. Thought leadership in the field of conversational AI, demonstrated through contributions to publications, presentations, or community involvement

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. . Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.

Key Responsibilities Develop and maintain autonomous agents using Python. Implement and integrate AI and LLM technologies into autonomous systems. Collaborate with cross-functional teams to design and develop innovative solutions. Analyze and evaluate the performance of autonomous agents and AI/LLM models. Grade and provide feedback on AI/LLM model results to ensure optimal performance. Stay updated with the latest advancements in AI, machine learning, and autonomous systems. Document development processes and technical specifications clearly. Troubleshoot and resolve issues related to autonomous systems and AI/LLM implementations. Required Skills And Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and software development. Strong understanding of AI, machine learning, and LLM concepts. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Ability to evaluate and grade AI/LLM model outputs accurately. Knowledge of autonomous systems and agent-based modeling. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of natural language processing (NLP) techniques and applications. Familiarity with robotics and control systems. Previous experience in developing autonomous systems or similar technologies.