557 Nltk Jobs - Page 3

Job Title : Data Research Engineer Location: Remote (Hybrid for Chennai& Mumbai) Experience: 4 Years 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 Stack Overflow, 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 team’s and company’s 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 (Tensor Flow, 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. Notice period: Immediate to 30 days Email to: poniswarya.m@aptita.com

Main Responsibilities Participating in the design and development of end-to-end data science analytics solutions using associated technologies Independent development of the problem solution steps and coding functionalities and its implementation by analysis of input and desired output Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets. Job Requirement Bachelor’s or Master’s degree in Computer Science, Data science, Data Analytics or a similar fields 2-4 years of working experience Advance knowledge in Python programming and experiences in data science using Python (familiar with the libraries Pandas, Scikit-learn, Streamlit, SpaCy, Gensim, NLTK, re, Plotly, Matplotlib, huggingface, transformer, openai, Langchain) Professional experience in the development of web applications such as WebApps and REST APIs with JavaScript frameoworks and with Python Experience with PowerApps and PowerAutomate Experience with data visualization techniques such as PowerBI etc. Experience in Machine Learning especially in the field of supervised machine learning and classification (create, train, apply classifier and evaluate results) Experience in regular expressions and natural language processing creating preprocessing pipelines) Familiar with and comfortable using the latest technological tools, including ChatGPT Working experience with LLMs (incorporate LLMs in WebApps to solve business tasks) and creating prompts for various tasks utilizing Langchain Primary location BASF Innovation campus at Turbhe, Navi Mumbai Job Information technology/Service

Optum is a global organization dedicated to improving health outcomes by leveraging technology to connect individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. As part of our team, you will contribute to advancing health equity on a global scale while experiencing a culture that values diversity, inclusion, and professional growth opportunities. We invite you to join us in making a positive impact on the communities we serve through caring, connecting, and growing together. In this role, you will lead the development and implementation of advanced Natural Language Processing (NLP) models and other data-driven AI systems. Your responsibilities will include conducting thorough data analysis, designing intricate machine learning models, and algorithms to derive insights from both structured and unstructured data. Collaboration with cross-functional teams will be essential in deploying these models, monitoring outcomes, and making necessary adjustments based on performance metrics. You will be tasked with preparing detailed reports and technical papers outlining data analysis findings in a clear and concise manner for various stakeholders. Additionally, overseeing data extraction, validation, and summarization processes will be crucial, along with effectively communicating updates and insights to stakeholders in a timely fashion. Your ability to identify potential issues or discrepancies in data analysis or modeling, report them to relevant parties, and ensure prompt resolution will be key to success in this role. Furthermore, compliance with employment contract terms, company policies, and procedures is expected. This includes adhering to directives related to potential work location changes, team reassignments, shift modifications, flexible work benefits, and other business environment adjustments. The Company reserves the right to modify or revoke these policies and directives at its discretion. To qualify for this position, you should hold a degree in a field emphasizing data science or statistical techniques, such as Computer Science or Applied Mathematics, with a focus on Natural Language Processing. A minimum of 3-4 years of experience in Data Science specializing in Machine Learning and NLP is required. Proficiency in Python, R, SQL, and NLP libraries like NLTK, SpaCy, and BERT is essential. Strong communication skills, adaptability to varying shifts, and the ability to present complex data in different formats are also necessary. Leadership capabilities, meeting deadlines, problem-solving skills, and an analytical mindset are attributes that will be valued in this role. This position is based in Mumbai, Maharashtra, India.,

As an Enterprise AI Platform Solution Architect, your primary responsibility will be to ideate and formulate a pragmatic blueprint using Deep learning for the development of AI solutions. You will work closely with a cross-functional team of talented engineers to design and create advanced and efficient AI-based solutions for business problems. Collaboration with engineers, researchers, and data specialists will be crucial in implementing best practices in coding and maintaining code repositories. You will be required to maintain the quality and responsiveness of AI platforms, ensuring that they meet the requirements derived from client meetings and workshops. Additionally, you will contribute to writing comprehensive proposals and work within an agile environment to deliver assigned tasks within specified timelines. Adhering to software development best practices and coding standards will be essential to improve quality and productivity. In this role, you will guide, coach, and lead a team of engineers specializing in AI, full-stack development, QA automation, and DevOps. Your expertise should include a strong educational background in Computer Science or a related field, along with 8-12 years of experience in live industry projects at an enterprise level. Domain expertise in areas such as NLP, Computer Vision, or Cyber Security (Data Science) will be beneficial. Proficiency in Python Programming, TensorFlow, Sci-kit learn, Keras, and other relevant libraries for AI & Machine Learning is required. You should have a strong ability to manipulate data using Pandas, Numpy, and other Python libraries, supporting data munging and cleansing activities. Experience in Agile methodology, CI-CD patterns, and working with Microservices, APIs, and Docker containers is essential. Your skills should also include hands-on experience with relational databases, writing SQL queries, and understanding enterprise application architecture. Proficiency in tools and technologies such as Python, TensorFlow, PyTorch, Django/Flask, MySQL, Git, Bitbucket, Jira, Confluence, and cloud platforms like Google Cloud, AWS, and Azure will be valuable for this role.,

Position Title: AI Ops Engineer Position Type: Regular - Full-Time Position Location: New Delhi Grade: Grade 06 Requisition ID: 32845 Job Purpose Design, develop, and implement artificial intelligence (AI) solutions that leverage advanced algorithms and machine learning techniques to solve complex business problems. Work closely with cross-functional teams to understand requirements, gather and analyze data, and build AI models that can automate processes, improve decision-making, and drive innovation. Job Responsibilities Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. 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. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. 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. Providing technical mentorship and guidance to junior team members. Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines Implement monitoring and logging tools to ensure AI model performance and reliability Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Key Qualification & Experiences Minimum 5 years of experience in Data Science and Machine Learning In-depth knowledge of machine learning, deep learning, and generative AI techniques Knowledge and experience in Generative AI Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models Familiarity with computer vision techniques for image recognition, object detection, or image generation Experience with cloud platforms such as Azure or AWS Expertise in data engineering, including data curation, cleaning, and preprocessing Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels Track record of driving innovation and staying updated with the latest AI research and advancements You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master degree is preferred. You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You have strong knowledge of data structures, algorithms, and software engineering principles. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. You have knowledge of software development methodologies, such as Agile or Scrum. You possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. You have 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. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. McCain Foods is an equal opportunity employer. We see value in ensuring we have a diverse, antiracist, inclusive, merit-based, and equitable workplace. As a global family-owned company we are proud to reflect the diverse communities around the world in which we live and work. We recognize that diversity drives our creativity, resilience, and success and makes our business stronger. McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to meet your needs. Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with the Global Employee Privacy Policy Job Family: Information Technology Division: Global Digital Technology Department: Cloud and Data Centre Location(s): IN - India : Haryana : Gurgaon Company: McCain Foods(India) P Ltd

TransUnion's Job Applicant Privacy Notice What We'll Bring This is role is for a Assoc Developer to work on building global plaforms that are hosted across multiple countries in both public and private cloud private cloud environments. We value people who are passionate around solving business problems through innovation and engineering practices. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative environment that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. What You'll Bring Objectives of this role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your tasks Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Required Skills And Qualifications 1 - 3 years of experience as a Python Developer with a strong portfolio of projects. Experience working with Airflow Bachelor’s degree in computer science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred Skills And Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Impact You'll Make At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things. Every day TransUnion offers our employees the tools and resources they need to find ways information can be used in diverse ways. Whether it is helping businesses better manage risk, providing better insights so a consumer can qualify for his first mortgage or working with law enforcement to make neighborhoods safer, we are improving the quality of life for individuals, families, communities and local economies around the world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Assoc Developer, Applications Development

About The Role : Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Design & Develop Agentic AI Applications:Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG PipelinesIntegrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models:Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER ModelsTrain OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge GraphsConstruct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally:Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows:Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How well support you

Required Skills and Qualifications. 7+ years of experience as a Python Developer with a strong portfolio of projects. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred Skills and Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Roles and Responsibilities Objectives of the Role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Able to articulate, write the unit test cases to execute. Your Tasks Create large-scale data processing pipelines to help developers build and train novel machine learning/Artificial Intelligence algorithms and data engineering development. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development.

TransUnion's Job Applicant Privacy Notice What We'll Bring This is role is for a Assoc Developer to work on building global plaforms that are hosted across multiple countries in both public and private cloud private cloud environments. We value people who are passionate around solving business problems through innovation and engineering practices. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative environment that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. What You'll Bring Objectives of this role Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your tasks Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms. Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. Debugging codes when required and troubleshooting any Python-related queries. Keep up to date with emerging trends and technologies in Python development. Required Skills And Qualifications 1 - 3 years of experience as a Python Developer with a strong portfolio of projects. Experience working with Airflow Bachelor’s degree in computer science, Software Engineering or a related field. In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. Experience with front-end development using HTML, CSS, and JavaScript. Familiarity with database technologies such as SQL and NoSQL. Excellent problem-solving ability with solid communication and collaboration skills. Preferred Skills And Qualifications Experience with popular Python frameworks such as Django, Flask or Pyramid. Knowledge of data science and machine learning concepts and tools. A working understanding of cloud platforms such as AWS, Google Cloud or Azure. Contributions to open-source Python projects or active involvement in the Python community. Impact You'll Make At TransUnion, we are dedicated to finding ways information can be used to help people make better and smarter decisions. As a trusted provider of global information solutions, our mission is to help people around the world access the opportunities that lead to a higher quality of life, by helping organizations optimize their risk-based decisions and enabling consumers to understand and manage their personal information. Because when people have access to more complete and multidimensional information, they can make more informed decisions and achieve great things. Every day TransUnion offers our employees the tools and resources they need to find ways information can be used in diverse ways. Whether it is helping businesses better manage risk, providing better insights so a consumer can qualify for his first mortgage or working with law enforcement to make neighborhoods safer, we are improving the quality of life for individuals, families, communities and local economies around the world. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Assoc Developer, Applications Development

Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills. Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Job Description Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Responsibilities Key Roles and Responsibilities of Position: Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness Qualifications Minimum Qualifications Bachelor’s degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or PowerBI. 1+ years' experience in SQL programming language and relational databases. Preferred Qualifications An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred. Experience working with Google Cloud Platform (GCP) services, leveraging its capabilities for ML model development and deployment. Experience with Git and GitHub for version control and collaboration. Besides Python, familiarity with one more additional programming language (e.g., C/C++/Java) Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood detail. Experience working with large language models such GPT-4, Google Gemini, Palm, Llama-2, etc. Excellent problem solving, communication, and data presentation skills.

` About the Company Candidate will be responsible for designing and developing applications for automating business processes, language understanding systems using NLP for text representation techniques more efficiently. About the Role The candidate will be required to conceive, design, develop NLP applications, develop application for document automation using python, pytorch and should be familiar with advanced libraries used in python and other programming languages. Responsibilities Develop and deploy applications like document automation, summarization, creation of user interface, query based chatbot. Understand business objectives and develop AI/ML models that help to achieve the same, along with metrics to track their progress. Qualifications Bachelor’s/master’s degree in computer science or engineering with a focus on language processing. At least 7+ years of experience with exposure to NLP and relevant projects. Required Skills Experience with AI/ML platforms, frameworks, and libraries. Knowledge in relevant programming languages, development tools, databases. Proficiency in programming in Python, Pytorch, tensorflow. Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling. Capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components. Experience in implementing product lifecycle - design, development, quality, deployment, maintenance. Ready to work within a collaborative environment with teams. Creative thinking for identifying new opportunities. Preferred Skills Experience in projects which required working with natural language data such as nltk (Python), Apache OpenNLP or GATE. Knowledge of advanced desktop and web interface development, chatbot support interfaces etc.

Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years' experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer architecture-based Deep Learning models. Experience in NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc. Experience in AWS / Azure / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc. Experience in Docker for deploying the containers. Deployment of the ML models on the Kubernetes clusters Experience in NoSQL/SQL databases. Good programming skills in Python. Domain knowledge in Online Reputation management or experience in a product-based company (added advantage). Expertise in delivering end-to-end analytical solutions covering multiple technologies & tools to multiple business problems.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Cognitive Service and IBM AI Developer Required Skills on Cognitive Services, IBM and Python Natural Language Processing (NLP) Intent recognition and entity extraction NLP libraries: spaCy, Rasa NLU, NLTK, Transformers (Hugging Face) Language model fine-tuning (optional for advanced bots) Conversational Design Dialogue flow design Context management Multi-turn conversation handling Backend Development Programming languages: Python, Node.js Frameworks: IBM Watson/ Rasa/Botpress/Microsoft Bot Framework (self-hosted) API development and integration (RESTful APIs) Frontend & UI Integration Web chat UIs (React, Angular, Vue) Messaging platform integration (e.g., custom web chat, WhatsApp via Twilio, etc.) Voice interface (optional): integration with speech-to-text and text-to-speech engines Watson Assistant: Designing, training, and deploying conversational agents (chatbots and virtual assistants). Watson Discovery: Implementing intelligent document search and insights extraction. Watson Natural Language Understanding (NLU): Sentiment analysis, emotion detection, and entity extraction. Watson Speech Services: Speech-to-text and text-to-speech integration. Watson Knowledge Studio: Building custom machine learning models for domain-specific NLP. Watson OpenScale: Monitoring AI model performance, fairness, and explainability. Core Python: Data structures, OOP, exception handling. API Integration: Consuming REST APIs (e.g., Azure SDKs). Data Processing: Using pandas, NumPy, and json for data manipulation. AI/ML Libraries: Familiarity with scikit-learn, transformers, or OpenAI SDKs. Required Skills on Other Skills (Front End) Component-Based Architecture: Building reusable functional components. Hooks: useState, useEffect, useContext, and custom hooks. State Management: Context API, Redux Toolkit, or Zustand. API Integration: Fetching and displaying data from API services. Soft Skills Excellent Communication Skills Team Player Self-starter and highly motivated Ability to handle high pressure and fast paced situations Excellent presentation skills Ability to work with globally distributed teams Roles and Responsibilities: Understand existing application architecture and solution design Design individual components and develop the components Work with other architects, leads, team members in an agile scrum environment Hands on development Design and develop applications that can be hosted on Azure cloud Design and develop framework and core functionality Identify the gaps and come up with working solutions Understand enterprise application design framework and processes Lead or Mentor junior and/or mid-level developers Review code and establish best practices Look out for latest technologies and match up with EY use case and solve business problems efficiently Ability to look at the big picture Proven experience in designing highly secured and scalable web applications on Azure cloud Keep management up to date with the progress Work under Agile design, development framework Good hands on development experience required EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Brief: We are looking for a talented and motivated AI Developer with hands-on experience in developing custom AI Agents , Intelligent Bots , and Interactive Dashboards . You’ll be a key contributor to projects for our US-based clients, building real-time, scalable, and intelligent systems that enhance decision-making and automation. Responsibilities: Design and develop AI agents using frameworks such as LangChain, AutoGen, or similar Build and integrate chatbots into enterprise communication platforms (Slack, MS Teams, WhatsApp) Leverage LLM APIs such as OpenAI, Claude, Gemini, or open-source alternatives Develop robust backend systems using Python/Node.js for agent orchestration Work with NLP libraries like spaCy, NLTK, Transformers Fine-tune prompts and implement custom workflows in voice or text-based bots Interface with databases, vector stores, and APIs as required Work in agile environments with distributed global teams Skills Required: Strong hands-on experience with Python or JavaScript (Node.js) Familiarity with LangChain, Rasa, BotPress, or similar bot frameworks Knowledge of cloud services (AWS, GCP, or Azure) Understanding of REST APIs, webhooks, and middleware integrations Experience with LLMs and prompt engineering concepts Exposure to tools like Pinecone, Weaviate, Redis for vector storage How to Apply: Share your resume at hr@cognicsys.com

As a Sr. Consultant- Data Scientist at Firstsource Solutions Limited, you will be responsible for designing and implementing advanced Machine Learning (ML) and Deep Learning (DL) models. Your role will involve developing web applications using Flask and FastAPI for real-time data processing and user interaction. Additionally, you will conduct exploratory data analysis, create data processing pipelines, and utilize Generative AI techniques to enhance content generation. Collaboration is key in this role as you will work closely with cross-functional teams to integrate AI capabilities into products and systems. Staying updated with the latest advancements in AI, ML, DL, Computer Vision (CV), and Natural Language Processing (NLP) is crucial to drive innovation within the organization. Effective communication skills are essential for conveying complex quantitative analysis to senior management and other departments in a clear and actionable manner. To qualify for this position, you should possess a Bachelors or Masters or PhD degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 5 to 7 years of experience in a data science role focusing on ML, DL, and statistical modeling is required. Strong coding skills in Python, proficiency in ML and DL frameworks (such as PyTorch, TensorFlow), CV tools (like OpenCV), and NLP libraries (such as NLTK, spaCy) are essential. Prior experience with generative models like GANs, VAEs, or Transformers, along with deployment skills in Docker, Kubernetes, and CI/CD pipelines, is advantageous. Analytical aptitude and excellent communication skills are also necessary for this role. Possessing certifications in Data Science, ML, or AI from recognized institutions will be an added advantage. Please note that Firstsource maintains a fair, transparent, and merit-based hiring process and does not solicit money at any stage. Beware of fraudulent offers and always verify information through official channels or @firstsource.com email addresses.,

Senior Consultant - Data Scientist Date: Jul 25, 2025 Location: Chennai, IN Requisition ID: 14612 Description: About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary: As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

Experience-5+years Notice Period-30days or Early Joiners Must have Skills-LLM, Advance RAG, NLP, transformer model, LangChain Please send resume to umaparvathyC@hexaware.com Job Description: Primary Skills Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks: TensorFlow, PyTorch, Keras Generative AI Models: GANs, VAEs, Transformers Agentic AI Tools: OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries: NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries: OpenCV, TensorFlow, PyTorch Secondary Skills Expertise in building, deploying, and fine-tuning natural language understanding, questioning, and semantic reasoning systems. Experience in improving and fine-tuning model performance and implementing new technologies. Data pipelines, Data Analytics

We are looking for a passionate Python developer to join our team at Billions United. You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks, and collaborating with other teams to define, design, and ship new features. You will also be working on data engineering problems and building data pipelines. Objectives of this Role Develop, test, and maintain high-quality software using Python programming language. Participate in the entire software development lifecyclebuilding, testing, and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems. Write clean and reusable code that can be easily maintained and scaled. Your Tasks Create large-scale data processing pipelines to support machine learning development. Participate in code reviews to ensure code quality and identify areas for improvement. Debug code and troubleshoot Python-related issues. Stay updated with emerging trends and technologies in Python development. Required Skills and Qualifications Freshers or 1+ years of experience as a Python Developer with a strong portfolio of projects. Bachelor's degree in Computer Science, Software Engineering, or a related field. In-depth knowledge of Python stacks, frameworks, and tools such as NumPy, SciPy, Pandas, Dask, spaCy, NLTK, Scikit-learn, and PyTorch. Experience with front-end technologies like HTML, CSS, and JavaScript. Familiarity with SQL and NoSQL databases. Excellent problem-solving, communication, and collaboration skills. Preferred Skills and Qualifications Experience with frameworks such as Django, Flask, or Pyramid. Knowledge of data science and machine learning concepts and tools. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Contributions to open-source Python projects or active involvement in the Python community.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems. Job Title: Sr. Consultant- Data Scientist Key Responsibilities Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments Required Skills And Qualifications Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

AI / ML Engineer – Multilingual Voice AI Systems Location: Noida- Onsite Experience: 3–6 Years Type: Full-Time/Contractual Reporting To: Solution Architect / Technical Director We’re building a multilingual, AI-driven voice assistant for phone-based booking via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity). The system must interact naturally in multiple global languages, making it a first-of-its-kind solution in our product stack. Role Overview We're seeking a practical AI/ML Engineer to lead the speech AI and multilingual NLP components of a voice automation platform. You’ll design and integrate Speech-to-Text, LLM/NLU, and Text-to-Speech systems that support dynamic phone conversations in multiple languages. Key Responsibilities Design, train, or integrate multilingual NLP pipelines to support dynamic conversations using: LLMs (OpenAI GPT, LLaMA 3, Ollama, or Azure OpenAI) STT/TTS services (Google Cloud, Azure Speech, Whisper, etc.) Configure language detection, intent recognition, and fallback flows Create multilingual prompt engineering logic and fine-tune models (if needed) Ensure STT/LLM/TTS works effectively with real-time voice streams via telephony APIs e.g. (Ozonetel / Exotel / Twilio / Knowlarity) Support integration of fallback IVR-style flows when AI fails Work closely with .NET engineers and backend team to wire up API-based workflows Assist in evaluating trade-offs between cloud APIs vs self-hosted models Optimize voice latency, transcription quality, and conversational UX Help set up language-specific voice personas with TTS (tone, pitch, accent) Must-Have Skills Experience building or integrating conversational AI or voicebots Strong knowledge of NLP, multilingual text handling, and LLM usage Hands-on integration with: OpenAI / Hugging Face / Ollama / LangChain Google Speech / Azure STT & TTS / Whisper Good understanding of international language encoding, accents, and noise handling Python fluency (NLTK, transformers, speech SDKs, etc.) Ability to work with APIs (REST, JSON, async jobs) Good-to-Have Skills Knowledge of telephony APIs (Ozonetel / Exotel / Twilio / Knowlarity) Familiarity with audio pipelines (e.g., audio capture, normalization, latency tuning) Experience with language-specific nuances like: Arabic TTS tokenization Hindi/Urdu word splitting Nigerian Pidgin vs standard English handling Prior experience with voice UX design or multilingual chatbot building Familiarity with Whisper fine-tuning or custom STT model training Qualifications Bachelor’s / Master’s in CS, Data Science, AI, or equivalent 3–6 years in AI/ML product development with focus on NLP, STT, or TTS Past experience in multilingual bot or voice system is highly preferred Job Types: Full-time, Contractual / Temporary, Freelance Contract length: 3 months Work Location: In person

"Key Responsibilities: Develop and implement open-source and proprietary Large Language Models (LLMs). Design, train, and deploy machine learning and deep learning algorithms. Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks. Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction). Optimize models through experimentation, tuning, and continuous improvement. Stay current with advancements in AI research, publications, and tools. Collaborate with backend developers to implement RESTful APIs. Create and maintain high-quality technical documentation. Debug and upgrade existing systems, incorporating user feedback. Write and manage performant, scalable APIs and services. Skills & Qualifications: Proficient in Python and frameworks such as Django REST Framework. Strong command of AI libraries: NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn. Experience with prompt engineering and AI-powered NLP tools. Familiarity with Generative AI (GenAI) approaches. Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations. Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools. Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML. Experience with Agile methodologies and Test-Driven Development (TDD) environments. Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage."

The role of Data Scientist - Clinical Data Extraction & AI Integration in our healthcare technology team requires an experienced individual with 3-6 years of experience. As a Data Scientist in this role, you will be primarily focused on medical document processing and data extraction systems. You will have the opportunity to work with advanced AI technologies to create solutions that enhance the extraction of crucial information from clinical documents, thereby improving healthcare data workflows and patient care outcomes. Your key responsibilities will include designing and implementing statistical models for medical data quality assessment, developing predictive algorithms for encounter classification, and validation. You will also be responsible for building machine learning pipelines for document pattern recognition, creating data-driven insights from clinical document structures, and implementing feature engineering for medical terminology extraction. Furthermore, you will apply natural language processing (NLP) techniques to clinical text, develop statistical validation frameworks for extracted medical data, and build anomaly detection systems for medical document processing. Additionally, you will create predictive models for discharge date estimation, encounter duration, and implement clustering algorithms for provider and encounter classification. In terms of AI & LLM Integration, you will be expected to integrate and optimize Large Language Models via AWS Bedrock and API services, design and refine AI prompts for clinical content extraction with high accuracy, and implement fallback logic and error handling for AI-powered extraction systems. You will also develop pattern matching algorithms for medical terminology and create validation layers for AI-extracted medical information. Having expertise in the healthcare domain is crucial for this role. You will work closely with medical document structures, implement healthcare-specific validation rules, handle medical terminology extraction, and conduct clinical context analysis. Ensuring HIPAA compliance and adhering to data security best practices will also be part of your responsibilities. Proficiency in programming languages such as Python 3.8+, R, SQL, and JSON, along with familiarity with data science tools like pandas, numpy, scipy, scikit-learn, spaCy, and NLTK is required. Experience with ML Frameworks including TensorFlow, PyTorch, transformers, huggingface, and visualization tools like matplotlib, seaborn, plotly, Tableau, and PowerBI is desirable. Knowledge of AI Platforms such as AWS Bedrock, Anthropic Claude, OpenAI APIs, and experience with cloud services like AWS (SageMaker, S3, Lambda, Bedrock) will be advantageous. Familiarity with research tools like Jupyter notebooks, Git, Docker, and MLflow is also beneficial for this role.,

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaboration with sales and business development teams to create technical proposals, solution designs, and architecture diagrams for Sales Qualified Leads (SQLs) will also be part of your role. Additionally, you will work as an individual contributor when necessary, focusing on developing key components of solutions to accelerate delivery and establish best practices. Your responsibilities will extend to researching, designing, and implementing machine learning and deep learning models, including fine-tuning and deploying LLMs like GPT and BERT for production use cases. Building NLP pipelines and retrieval-augmented generation (RAG) systems using tools such as LangChain, LangGraph, and vector databases like FAISS, Pinecone, and Weaviate will also be crucial. You will be expected to apply statistical techniques to feature engineering, model evaluation, and performance optimization, ensuring adherence to code quality, testing, CI/CD, and documentation standards. Staying up-to-date with the latest advancements in AI/ML and proposing innovative solutions will be essential. Conducting code reviews, promoting peer learning, and fostering a strong engineering culture will also be part of your responsibilities. To qualify for this role, you should hold a Bachelors, Masters, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Additionally, you should have at least 7 years of hands-on experience in AI/ML model development and deployment. Proven expertise in leading technical teams and delivering production-grade AI/ML solutions is required. Strong architectural skills with experience in designing end-to-end solutions involving cloud, APIs, and ML models are essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is necessary, along with hands-on experience in NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs, as well as building GenAI solutions, is expected. Familiarity with tools like LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone) will be advantageous. A solid understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to utilize them, experience deploying models and services using REST APIs, Docker, and CI/CD pipelines, and exposure to cloud platforms such as AWS, GCP, or Azure are highly desirable. Excellent analytical thinking, problem-solving, and communication skills will be crucial for success in this role.,