149 Spacy Jobs - Page 4

You should have at least 2 years of experience as a Python Developer with a robust portfolio of projects. A Bachelor's degree in computer science, Software Engineering, or a related field is required for this role. An in-depth understanding of Python software development stacks, ecosystems, frameworks, and tools like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch is essential. Additionally, you should have experience in front-end development using HTML, CSS, and JavaScript, along with familiarity with database technologies such as SQL and NoSQL. Strong problem-solving skills, as well as effective communication and collaboration abilities, are also necessary. Preferred skills for this role include experience with the Flask framework, a working understanding of cloud platforms like AWS, Google Cloud, or Azure, and contributions to open-source Python projects or active involvement in the Python community.,

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Additional Information:- The candidate should have a minimum of 5 years of real time experience in Machine Learning.- A 15 years full time education is required. Qualification 15 years full time education

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,

About the Job The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. We are seeking a highly experienced Senior Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of the Data and AI team, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 10+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

About the Job The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. We are seeking a highly experienced Principal Data Scientist to lead our initiatives in natural language processing (NLP), machine learning, and data analytics. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of the Data and AI team, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Lead the research and implementation of advanced algorithms and tools for NLP/GenAI tasks. Drive the development of next-generation AI/ML applications in a highly collaborative environment. Oversee the design, implementation, and delivery of AI solutions. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 7+ years of professional experience in NLP, with a strong command of Python and frameworks such as Spacy and Hugging Face. Proven expertise in designing and delivering NLP applications across all stages of the data science lifecycle. Deep understanding of machine learning frameworks and experience in Generative AI application development. Working knowledge of TensorFlow, TensorFlow Serving, Keras, PyTorch. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat is the worlds leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

2+ years of ML + NLP experience. Programming in Python. Knowledge of SQL and NoSQL databases. Expert ability to write robust code in Python. Experience working with structured and unstructured data including data extraction, integration, and normalization. Very fluent in ML frameworks/libraries like Tensorflow, Pytorch, ONNX, Scikit Learn, Keras, Spacy. Expert skill at manipulating data frames using Pandas and arrays using NumPy. Good To Have: Experience with big data frameworks such as Spark and Hadoop. Experience with containerizing applications using docker. Roles and Responsibilities Understanding business objectives and formulating the problem as a Machine Learning problem. In-depth knowledge of various NLP domains such as entity extraction, topic modeling, knowledge graphs, parsing, question answering, etc and linking with domain specific dictionaries. Expertise in a variety of Deep Learning architectures including RNN, CNN, LSTMs, Transformer, and Transfer Learning. Excellent background in Machine Learning (generative model, discriminative model, neural network, regression, classification, clustering, etc.) and conversational AI (chatbots). Implement cutting edge CV techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV. Hands-on experience in any public cloud environment (AWS, GCP or Azure). Ability to build robust data processing and analytics pipelines. Operationalize ML models into production environment(s). Strong knowledge of software fundamentals, data structures and algorithms. Strong analytical and problem-solving skills. Quick learner passionate about Machine Learning and Data Science.

What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLMs use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills and Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the teams and companys benefits. Think outside the box mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially hallucinate and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently.

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical : Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsDocker, Airflow, Kubernetes, Redis, Flask/Django/FastAPI, PySpark, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 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About the Role: Grade Level (for internal use): 12 The Team As a leader in the EDO, Collection Platforms & AI Cognitive Engineering team, you will own the vision and delivery of enterprise-scale Data Science and GenAI solutions that power natural language understanding, data extraction, information retrieval, data sourcing, and speech-to-text services for S&P Global. You will define the data science strategy, champion best practices, mentor across functions, and drive production-ready AI/ML products from ideation through deployment. Youll work in a (truly) global team that values thoughtful risk-taking and self-initiative. Whats in it for you: Lead data science strategy and build solutions at enterprise scale Grow and mentor a world-class team of data scientists and ML engineers Solve high-complexity, high-impact problems end-to-end Define roadmaps for emerging AI capabilities (GenAI, ASR, speaker analytics) Responsibilities: Shape and execute the Data Science roadmaptooling, methodologies, and best practices for ML, GenAI, and ASR Architect, develop, and deploy large-scale ML and GenAI pipelines-including Voice Activity Detection (VAD), Speaker Diarization, and ASR models-for automated transcription services Own the full data science lifecycleopportunity identification, requirement gathering, modeling, evaluation, validation, deployment, monitoring, and optimization Lead exploratory data analysis, proof-of-concepts, benchmarking, and production model validation for both text- and speech-based AI solutions Establish and enforce coding standards, perform technical reviews, and optimize workflows for reproducibility and scalability Drive MLOps practicesCI/CD for models, feature stores, monitoring, alerting, and automated rollback strategies Mentor and develop junior and mid-level data scientists; foster a culture of continuous learning, innovation, and collaboration Partner with cross-functional stakeholders (Engineering, Product, IT, Compliance) to align on project goals, timelines, and SLAs Technical : 8+ years of hands-on experience in Data Science/AI, with at least 3 years in a senior or leadership role with strong hands on skills. Proven expertise in developing and deploying ASR systems: Training or fine-tuning end-to-end ASR models (e.g., Whisper, QuartzNet) Designing VAD pipelines for robust speech segmentation Implementing Speaker Diarization (e.g., Pyannote, UISR) and handling multi-speaker audio Optimizing transcription accuracy across accents, languages, and noisy environments Deep knowledge of large language models (OpenAI, Anthropic, Llama), prompt engineering, fine-tuning, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Strong understanding of ML & deep learning architecturesNLP transformers, GNNs, multimodal systems Solid grasp of statistics, probability, and the mathematics underpinning modern AI Track record of synthesizing cutting-edge research into production solutions Experience with orchestration and deployment toolsDocker, Kubernetes, Airflow, Redis, Flask/Django/FastAPI, PySpark, SQL, and cloud services (AWS/GCP/Azure) Openness to evaluate and adopt emerging technologies and languages as needed Good to have: Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field Prior experience in the Economics/Financial industry, especially market-intelligence or risk analytics Public contributions on GitHub, Kaggle, StackOverflow, technical blogs, or publications Familiarity with speaker embedding techniques, speech enhancement, and noise-robust modeling Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. 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Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- IFTECH103.2 - Middle Management Tier II (EEO Job Group)

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Grade C1/C2 Experience in agent frameworks atleast one of the below CrewAI LangChain agents Autogen AutoGPT / OpenAgents Understand agent roles, memory, planning, and tools .Experience with Prompt engineering (few-shot, chain-of-thought, tool-calling) Fine-tuning or RAG (Retrieval-Augmented Generation) Model selection and deployment (local vs API-based) Vector databases (e.g., Pinecone, Weaviate, Chroma) Tool execution environments (e.g., LangChain tools, custom wrappers) Awareness of model limitations, hallucinations, and how to mitigate them. Full-Stack Engineering Proficiency Ability to build end-to-end systems frontend + backend + infra. Fluency in Python (especially for AI orchestration) TypeScript/React (for building UIs around agents) REST/GraphQL APIs Comfortable integrating models via APIs (OpenAI, Anthropic, HuggingFace). Rapid Prototyping & Iteration Able to build, test, and iterate on Agent workflows Tooling pipelines UI/UX for human-agent interaction Familiarity with hacky proof-of-concept workflows and productionizing them. Product & Systems Thinking Strong sense of product intuition what to build and why. Thinks in terms of goals, user outcomes, system feedback loops , not just features.

Immediate Openings on Machine Learning Developer _ Pune/Hyderabad/Bangalore_ Contract Experience 6+ Years Skill Machine Leaning Developer Notice Period Immediate Employment Type Contract Work Mode WFO/Hybrid Principal responsibilities Developers to build prod-ready models that will help with content extraction and classification from images and text-based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms. Should be able to troubleshoot development and production problems across multiple environments and operating platforms. Experience is preferred in Agile/DevOps areas. Must have Strong in python, Machine learning, Deep learning, Natural language processing, Gen AI, Image processing, Document AI, OCR technology Frame Works TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex API Fast API, Tornado Database Postgres, Mongo OS RHEL, Ubuntu Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals. Nice to Have Understanding of cloud computing fundamentals, proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI, Azure Kubernetes Service (AKS), Azure DevOps basic knowledge of networking and security best practices.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: . Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have:. Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

About the Job: The Data Development, Insights & Strategy team is a highly focused effort to use the combination of our product fleet data, our business and sales data to provide strategic insight and act on the moments that matter in near real time to both drive meaningful customer interactions, product evolution, modernize/drive our business systems and identifying opportunities to maximize our understanding and execution of product & business models which in turn maximize our ability to successfully capture our market opportunity. We are seeking a technically minded, detail oriented and creative Senior Data Scientist focused on natural language processing, machine learning & data analytics to join our team. The ideal candidate will be passionate about creating and developing applications, particularly within the language sector, and have excellent analytical and machine learning knowledge. The focus of the role will be to transform natural language data and requests into creative and interactive features part of our finance & operations business. If you want to build Next generation AI/ML applications, if you have rock-solid development skills, if you thrive in a start-up like environment, if you think outside of the box and love working in a team with similar minded engineers, if you are creative and want to help solve real world customer problems and love presenting innovative solutions, if you believe in community and OpenSource development culture then we are the TEAM for you. In this role, you will be the voice of Red Hat's technical authority, creating and delivering features/ capabilities that helps Red Hats data community and in turn our customers achieve their business and technical goals with Red Hat products effectively. You will work collaboratively with members of DDIS, finance, operations, sales, marketing, and product to construct fit for purpose analytical solutions that will be leveraged by business teams to drive proactive customer engagement. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then this is the job for you! What will you do Collaborate with a small, agile team to research and implement effective NLP algorithms and tools. Contribute to the design, development, and delivery of NLP applications from concept to production. Analyze data science prototypes and ensure they meet business requirements. Ensure the successful training and evaluation of NLP models, refining them based on statistical analysis. Collaborate with cross-functional teams, including finance, operations, sales, and marketing, to understand and meet business needs. What will you bring 5+ years of professional experience in NLP using Python, with knowledge of Spacy and Hugging Face. Strong understanding of NLP techniques and experience in Generative AI application development. Familiarity with machine learning frameworks, including TensorFlow, Keras, and PyTorch. Experience in developing scalable backend microservices in AWS. Ability to translate complex data findings into actionable business insights. Comfortable working with a small team in a fast-paced, highly collaborative environment Experience with GenAI application development - LLMs, Embedding models, Vector Databases Keep up to date in the rapidly changing field of AI/ML by constantly researching and learning new techniques and information related to NLP. Bachelors degree or above in Computer Science, Math, Computational Linguistics, or other related fields. Demonstrated experience as an NLP, or experience in a similar role/industry Experience developing highly scalable backend microservices in AWS Personal qualities and communication Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling Communication skills and experience in interacting with cross functional business and engineering teams Capability in undertaking business needs analysis in direct consultation. Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change. Capability to develop a detailed understanding of our business requirements. Excellent communication, presentation, and writing skills About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (exampleAWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualification 15 years full time education

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow , PyTorch , scikit-learn , or Keras . Hands-on exposure to self-hosted or managed LLMs , supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy , NLTK , Hugging Face Transformers , and OpenCV , contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django , Flask , or Node.js , and API development (REST or GraphQL). Front-end development experience with React , Angular , or Vue.js , with a working understanding of responsive design and state management. Development and optimization of data storage solutions , using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached . Working knowledge of microservices and serverless patterns , participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark , and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse , using tools such as Airflow , dbt , BigQuery , or Snowflake . Understanding of CI/CD , containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines , including setting up IAM roles , configuring TLS/SSL , and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices , model versioning, and deployment pipelines using MLflow , FastAPI , or AWS SageMaker . Configuration and management of cloud services such as AWS EC2 , RDS , S3 , Load Balancers , and WAF , supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Preferred Skills: Key : Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelors or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA

Job Description Summary The Senior NLP Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI. Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains. Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency. Deploy NLP models into production environments, ensuring scalability and robustness. Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques. Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning. Develop and maintain documentation for NLP models, algorithms, and processes. Collaborate with product managers and engineers to integrate NLP solutions into products and services. Conduct code reviews and ensure adherence to coding standards and best practices. Participate in the development of data collection and annotation strategies to improve model performance. Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualification Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems. Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy. Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with transfer learning, fine-tuning, and prompt engineering for LLMs. Knowledge of agentic AI principles and their application in real-world scenarios. Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL. Publications or contributions to the NLP and AI research community. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm