557 Nltk Jobs - Page 5

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. Job Description Write complex algorithms to get an optimal solution for real time problems Qualitative analysis and data mining to extract data, discover hidden patterns, and develop predictive models based on findings Developing processes to extract, transform and load data Use distributed computing to validate and process large volumes of data to deliver insights Evaluate technologies we can leverage, including open-source frameworks, libraries, and tools Interface with product and other engineering teams on a regular cadence Qualifications 3+ years of applicable data engineering experience, including Python & RESTful APIs 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 Strong fundamentals in data mining & data processing methodologies Strong knowledge of data structures, algorithms and designing for performance, scalability and availability Sound understanding of Big Data & RDBMS technologies, such as SQL, Hive, Spark, Databricks, Snowflake or Postgresql Orchestration and messaging frameworks: Airflow Good experience working with Azure cloud platform Good experience working in containerization framework, Docker is a plus. Experience in agile software development practices and DevOps is a plus Knowledge of and Experience with Kubernetes is a plus Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Minimum B.E. degree in Computer Science, Computer Engineering or related field Additional Information Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms Recharge and revitalize with help of wellness plans made for you and your family Plan your future with financial wellness tools Stay relevant and upskill yourself with career development opportunities Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Strong proficiency in Python and its standard libraries. Experience with AI concepts such as expert systems, symbolic AI, NLP, or heuristic algorithms. Familiarity with AI tools and libraries like spaCy, NLTK, OpenAI API, or LangChain. Experience with REST APIs, microservices, and cloud platforms (AWS, Azure, GCP). Strong understanding of data structures, algorithms, and software design principles. Excellent communication and problem-solving skills. Experience with AI integration in enterprise applications. Exposure to knowledge representation, semantic web, or ontology modeling. Experience working in Airline Domain will be added advantage Certifications in AI or cloud technologies. Design and develop Python-based applications with integrated AI capabilities. Work on AI-driven solutions such as chatbots, recommendation systems, intelligent agents, or knowledge-based systems. Collaborate with cross-functional teams to gather requirements and deliver AI-powered features. Integrate third-party AI APIs and services (e.g., OpenAI, Azure Cognitive Services). Optimize performance and scalability of AI components. Maintain high standards of code quality and documentation Experience: 6+ Years Location: Bangalore

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 Bachelors or Masters 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

We are looking for a skilled Senior Data Scientist with expertise in NLP and Machine Learning to join our team at Harmony Data Integration Technologies. The ideal candidate will have a strong background in developing innovative data solutions and driving business growth through data-driven insights. Roles and Responsibility Design, develop, and deploy advanced NLP models to extract valuable insights from large datasets. Collaborate with cross-functional teams to identify business problems and develop data-driven solutions. Develop and maintain complex machine learning models using various algorithms and techniques. Work closely with stakeholders to understand business requirements and deliver high-quality results. Stay updated with industry trends and emerging technologies in NLP and machine learning. Lead the development of predictive analytics solutions to drive business growth. Job Requirements Strong proficiency in programming languages such as Python, R, or Java. Experience with NLP libraries such as NLTK, spaCy, or Stanford CoreNLP. Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate complex ideas effectively.

Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above 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 Pipelines: Integrate 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 Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct 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 13+ 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. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Qualifications Required Skills: Python programming expertise, including data structures, object-oriented programming, recursion, generators, iterators, decorators, and familiarity with regular expressions. Working knowledge and experience with deep learning frameworks such as PyTorch or TensorFlow, including embedding representations. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing and querying. Proficiency in Docker and creating Dockerfiles. Experience in REST API and JSON structures, utilizing Python packages like FastAPI. Skill in working with Git operations. Proficiency in shell scripting. Expertise in using PyCharm for development, debugging, and profiling. Knowledge of Kubernetes. Preferred Skills NLP toolkits such as NLTK, spaCy, Gensim, and scikit-learn; familiarity with fundamental natural language concepts including tokenization, lemmatization, stemming, edit distances, named entity recognition, and syntactic parsing. Advanced knowledge and experience with deep learning frameworks like PyTorch or TensorFlow. Complex operations within Elasticsearch, including creating indices and advanced field indexing. Comprehensive experience with Kubernetes. Skills: framework,sql database interactions,named entity recognition,profiling,rest api,regular expressions,python programming,recursion,lemmatization,json structures,decorators,pycharm,generators,deep learning frameworks (pytorch, tensorflow),tokenization,fastapi,object-oriented programming,edit distances,elasticsearch,stemming,dockerfiles,shell scripting,docker,nlp toolkits (nltk, spacy, gensim, scikit-learn),syntactic parsing,data structures,python,deep learning,ml,git operations,kubernetes,embedding representations,debugging,iterators

Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. Strong experience in Python and production system development. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing, querying. Familiarity with Docker, Dockerfile. Familiarity with REST API, JSON structure. Python packages like FastAPI. Familiarity with git operations. Familiarity with shell scripting. Familiarity with PyCharm for development, debugging, profiling. Experience with Kubernetes. Experience with LLms & Gen AI. Desired Skills NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. Good knowledge and experience with deep learning framework Pytorch or Tensorflow. More complex operations with Elasticsearch. Creating indices, indexable fields, etc. Good experience with Kubernetes

Role & responsibilities Highly focused individual with self-driven attitude Problem solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects. Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics and Reporting Using data science and statistical techniques to build machine learning models and deal with textual data. Keep up-to-date knowledge of the industry and related markets Ability to multitask, prioritize, and manage time efficiently Understand needs of the hiring organization or client in order to target solutions to their benefit Advanced speaking and writing skills for effective communication Ability to work in cross functional teams demonstrating high level of commitment and coordination Attention to details and commitment to accuracy for the desired deliverable Should demonstrate and develop a sense of ownership towards the assigned task Ability to keep sensitive business information confidential Contribute, positively and extensively towards building the organizational reputation, brand and operational excellence Preferred candidate profile 3-6 years of relevant experience in data science Advanced knowledge of statistics and basics of machine learning Experienced in dealing with textual data and using natural language processing techniques Ability to conduct analysis to extract actionable insights Technical skills in Python (Numpy, Pandas, NLTK, transformers, Spacy), SQL and other programming languages for dealing with large datasets Experienced in data cleaning, manipulation, feature engineering and building models Experienced in the end-to-end development of a data science project Strong interpersonal skills and extremely resourceful Proven ability to complete assigned task according to the outlined scope and timeline Good language, communication and writing skills in English Expertise in using tools like MS Office, PowerPoint, Excel and Word Graduate or Post-graduate from a reputed college or university

Job Title: Software Technical Trainer Job Location: Freelance Job Duration: 2-3 Months - Offline Experience : 2-5 Yrs Job Summary: We are seeking a passionate and skilled Software Technical Trainer to conduct engaging and career-oriented training programs for college students . The trainer will handle sessions on Full Stack Development (Java, JavaScript, Node.js, React) , Ethical Hacking , Cyber Forensics , and Natural Language Processing (NLP) to equip students with real-world skills and industry readiness. Key Responsibilities: Deliver interactive and hands-on training sessions for college students on: Full Stack Development: Java, JavaScript, Node.js, React Ethical Hacking & Cybersecurity Fundamentals Basics of Cyber Forensics Natural Language Processing using Python Prepare and customize training materials, PPTs, assignments, and mini projects aligned with student level. Provide mentorship and career guidance based on industry expectations. Conduct assessments to measure understanding and progress. Coordinate with college faculty and placement teams as needed. Required Skills: Proficient in: Java (Core & Advanced), JavaScript, Node.js, React Python for NLP (NLTK, spaCy, etc.) Ethical Hacking concepts and tools (Kali Linux, Wireshark, etc.) Cyber Forensics basics (log analysis, forensic tools) Excellent communication and classroom management skills. Ability to explain technical concepts in a student-friendly way. Prior experience in training or mentoring students is an advantage. Job Type: Freelance Pay: ₹30,000.00 - ₹40,000.00 per month Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: Software Technical Trainer: 3 years (Required) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person Application Deadline: 23/07/2025

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... As a DMTS (AI Science) you will own and drive end to end solutions for Cognitive and Gen AI driven use cases. Working on designing and building scalable cognitive and generative AI solutions to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For... You have strong ML/NLP/GenAI skills and are eager to work in a collaborative environment with global teams to drive NLP/GenAI application in business problems. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You enjoy mentoring and empowering the team to expand their technical capabilities. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of work experience. Data Scientist and thought leader with experience in implementing production use cases in Gen AI and Cognitive. Ten or more years of hands-on experience on implementation of large-scale NLP Projects and Fine tuning & Evaluation of LLMs for downstream tasks such as text generation, Classification, summarization, question answering, entity extraction etc. Working knowledge of Agentic AI frameworks like LangChain, LangGraph, CrewAI etc. Ability to guide the team to correctly analyze cognitive insights and leverage unstructured conversational data to create transformative, intelligent, context aware and adaptive AI systems. Experience in Machine Learning, Deep Learning model development & deployment from scratch in Python. Working knowledge of NLP frameworks and libraries like NLTK, Spacy, Transformers, Pytorch, Tensorflow, hugging face API's. Working knowledge of various supervised and unsupervised ML algorithms. Should know the various data preprocessing techniques and its impact on algorithm's accuracy, precision and recall. Knowledge & Implementation Experience of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) & Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Deep Reinforcement Learning. Experience with RESTful, JSON API services. Working knowledge on Word embeddings, TF-IDF, Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context. Experience in analyzing Live Chat/call conversation with agents. Expertise in Python, Sql, PySpark, Scala and/or other languages and tools. Understanding of validation framework for generative model output and perspective on future ready systems to scale validation. Familiarity with GPU/CPU architecture and distributed computing and general infra needs to scale Gen AI models Ability to provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Even better if you have one or more of the following: Phd or an advanced degree or specialization in Artificial Intelligence If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Title: Software Technical Trainer Job Location: Freelance Job Duration: 2-3 Months - Offline Experience : 2-5 Yrs Job Summary: We are seeking a passionate and skilled Software Technical Trainer to conduct engaging and career-oriented training programs for college students . The trainer will handle sessions on Full Stack Development (Java, JavaScript, Node.js, React) , Ethical Hacking , Cyber Forensics , and Natural Language Processing (NLP) to equip students with real-world skills and industry readiness. Key Responsibilities: Deliver interactive and hands-on training sessions for college students on: Full Stack Development: Java, JavaScript, Node.js, React Ethical Hacking & Cybersecurity Fundamentals Basics of Cyber Forensics Natural Language Processing using Python Prepare and customize training materials, PPTs, assignments, and mini projects aligned with student level. Provide mentorship and career guidance based on industry expectations. Conduct assessments to measure understanding and progress. Coordinate with college faculty and placement teams as needed. Required Skills: Proficient in: Java (Core & Advanced), JavaScript, Node.js, React Python for NLP (NLTK, spaCy, etc.) Ethical Hacking concepts and tools (Kali Linux, Wireshark, etc.) Cyber Forensics basics (log analysis, forensic tools) Excellent communication and classroom management skills. Ability to explain technical concepts in a student-friendly way. Prior experience in training or mentoring students is an advantage. Job Type: Freelance Pay: ₹30,000.00 - ₹40,000.00 per month Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Experience: Software Technical Trainer: 3 years (Required) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person Application Deadline: 23/07/2025

We are seeking an experienced Core Python Developer for an immediate on-site opportunity in Hyderabad. This role involves working with cutting-edge technologies in AI/ML, cloud platforms, and Python-based frameworks, delivering scalable solutions for our client. About the Role This role involves working with cutting-edge technologies in AI/ML, cloud platforms, and Python-based frameworks, delivering scalable solutions for our client. Responsibilities Develop and maintain robust applications using Python frameworks (Django, Flask, or Pyramid). Design and implement data pipelines and workflows utilizing Numpy, Scipy, Pandas, Dask, and other advanced libraries. Work with NLP libraries (spaCy, NLTK) and machine learning frameworks (scikit-learn, PyTorch). Develop, test, and maintain RESTful APIs. Collaborate in an Agile development environment, following best coding and architectural practices. Integrate with SQL/NoSQL databases for optimal data management. Implement solutions on cloud platforms such as AWS, Google Cloud, or Azure. Use version control and collaborative workflows with Git. Build and optimize AI/ML pipelines, potentially using Langchain or similar tools. Required Skills Core Python Development, AI/ML technologies, Cloud platforms, Python frameworks, RESTful APIs, Agile development, SQL/NoSQL databases, Version control with Git. Preferred Skills Experience with NLP libraries, machine learning frameworks, and building AI/ML pipelines.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

As a Machine Learning Engineer at our company, you will be utilizing your expertise in Computer Vision, Natural Language Processing (NLP), and Backend Development. Your primary responsibilities will include developing ML/DL models for Computer Vision tasks such as classification, object detection, and segmentation, as well as for NLP tasks like text classification, Named Entity Recognition (NER), and summarization. You will also be implementing research papers and creating production-ready prototypes. To excel in this role, you must have a solid understanding of Machine Learning and Deep Learning concepts. Proficiency in tools and libraries like PyTorch, OpenCV, Pillow, TorchVision, and Transformers is essential. You will be optimizing models using techniques such as quantization, pruning, ONNX export, and TorchScript. Moreover, you will be tasked with building and deploying RESTful APIs using FastAPI, Flask, or Django, and containerizing applications using Docker for deployment on cloud or local servers. Your role will also involve writing clean, efficient, and scalable code for backend and ML pipelines. Strong backend skills using FastAPI, Flask, or Django are required, along with experience in utilizing NLP libraries like Hugging Face Transformers, spaCy, and NLTK. Familiarity with Docker, Git, and Linux environments is crucial for this position, as well as experience with model deployment and optimization tools such as ONNX and TorchScript. While not mandatory, it would be advantageous to have knowledge of Generative AI / Large Language Models (LLMs) and experience with MLOps tools like MLflow, DVC, and Airflow. Additionally, familiarity with cloud platforms such as AWS, GCP, or Azure would be a plus. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. This is a full-time position with an evening shift schedule from Monday to Friday. The work location is in person.,

You should have the ability to work with large data sets using Python and possess a strong background in Python programming, MySQL, Linux, and Machine Learning. It is essential to have basic knowledge of other relevant technologies such as Cloud computing, Jupyter Notebook, Machine learning algorithms, TensorFlow, PyTorch, Tesseract OCR, and NLP techniques including models like SpaCy, Bert, NLTK, and AutoML. You will be required to work through the phases of the project. This is a full-time job that requires you to work in person. The interview will be conducted in person, and there are no telephonic interviews scheduled. The job follows a Day shift and Morning shift schedule. A Bachelor's degree is preferred for this role. Additionally, having 1 year of experience in C++ is required for this position.,

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation 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

Ø Java Developer About Company: Phoenix Code Crafter Pvt Ltd. is a dynamic IT solutions subsidiary of Phoenix Assurance Pvt Ltd., specializing in innovative software development tailored specifically for the Insurance Industry, healthcare sector, Third Party Administrator (TPA), and Third-party audit companies. Leveraging cutting-edge technology and deep domain expertise, the company delivers unique, transformative software solutions that address complex operational challenges and drive digital transformation for its clients. With a commitment to excellence and technological innovation, Phoenix Code Crafter empowers organizations to enhance their efficiency, productivity, and service delivery through sophisticated, custom-built IT solutions. 📍 Job Location: 1005 - 1015 10th Floor Shilp Zaveri Building, Ahmedabad, Gujarat 380015 Eligibility: BE in Computer Science, MCA, or an equivalent degree Experience: 3-5 Years Salary: Best in Industry (On the basis of Experience) Joining: Immediate Job Summary We are looking for a Java Developer with 3 to 5 years of experience to join our team. The ideal candidate should have expertise in Spring Boot, Microservices, and Docker for backend development and React.js/Angular for frontend development. The role also requires experience with PostgreSQL/ClickHouse, and DevOps tools. Key Responsibilities Develop and maintain Java-based microservices using Spring Boot Design and build user-friendly front-end applications using React.js/Angular Deploy and manage containerized applications using Docker Manage and optimize PostgreSQL OR ClickHouse databases Implement CI/CD pipelines for automated deployments Use Git/GitHub for version control and collaboration Optimize application performance on both frontend and backend Collaborate with cross-functional teams to deliver high-quality software Required Skills & Experience: ✔ 3-6 years of experience in Full Stack development ✔ Strong backend experience with Java, Spring Boot & Microservices architecture ✔ Hands-on frontend experience with React.js/Angular ✔ Proficiency in Docker for containerization ✔ Expertise in PostgreSQL and ClickHouse databases ✔ Familiarity with CI/CD tools, IntelliJ, Git, and GitHub ✔ Strong problem-solving, teamwork, communication, and leadership skills Optional/Preferred Technical Skills Experience with building and deploying language model applications using LangChain.. Proficiency in NLP techniques and tools (e.g., NLTK, Spacy, Hugging Face Transformers). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience with NoSQL databases such as MongoDB or Cassandra. Experience with containerization tools like Docker. Proficiency in version control systems like Git. Experience with multi-agent systems and autonomous agent behaviour design. Knowledge of agent-based simulation techniques and their integration with AI/ML models. Soft Skills Strong research and development abilities. Self-driven with a proactive approach to work. Ability to collaborate with stakeholders to understand and deliver on technical requirements. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Contact Person: Pooja Kumari: HR Executive Mobile number: 9142955670

You should be proficient in programming languages such as Python and R. You must have a strong understanding of machine learning algorithms and frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with conversational AI platforms, especially Oracle Digital Assistant, is preferred. Additionally, you should have familiarity with data processing tools and platforms such as Apache Spark and Hadoop. It is essential to be familiar with Oracle Cloud Infrastructure (OCI) and its services for deploying ODA & AI/ML models. Experience with natural language processing (NLP) techniques and libraries like NLTK and SpaCy is required. Understanding deep learning architectures for NLP, such as transformers and BERT, is a plus. Knowledge of containerization and orchestration tools like Docker and Kubernetes is beneficial. Moreover, you should possess skills in statistical analysis and data visualization using the R-language. This position is full-time and requires working the morning shift. Ideally, candidates should have at least 2 years of experience in AI/ML. The work location is in person.,

You will join the Data Science team at BOLD, where you will utilize your analytical skills and business acumen to provide valuable insights to the Product and Management teams. Your primary responsibility will involve leveraging extensive user data sets to drive product development, enhance current products, and identify relationships within the data to develop new products. The Data Science department at BOLD focuses on discovering patterns and trends in datasets, creating predictive algorithms and data models, improving product quality using machine learning techniques, providing insights to other teams and top management, and utilizing data tools like Python and SQL. This team collaborates with various vertical teams such as Engineering, Portals, BI, Product, and Legal on projects that involve natural language processing and machine learning, including resume parsing, ranking, summary generation, data quality and scoring, job recommendations, and more. Your role will involve working on data science projects encompassing predictive modeling, NLP, statistical analysis, machine learning, and more. You will use the rich user data sets to conduct research, develop models, and collaborate with Development & Product teams to create data products. Additionally, you will work on developing scalable data systems using machine learning techniques to enhance user experience, experiment with different Large Language models, and improve the job seeker experience through agentic workflows. To excel in this role, you should have knowledge and experience in statistical and machine learning algorithms, proficiency in Python, experience with backend technologies like Flask/Gunicorn, and familiarity with open-source libraries such as Spacy, NLTK, Gensim, and deep-learning libraries like TensorFlow and PyTorch. You should also be a keen learner, have experience with prompt engineering and vector databases, and ideally be familiar with Langchain and/or Llamaindex. Experience with Cloud infrastructure (Azure, AWS), deploying models using tools like Jenkins, and understanding career/recruiting domain taxonomies like O*Net would be beneficial. The ideal candidate should have at least 2.5 years of experience as a Software Engineer or 4.5 years as a Senior Software Engineer. In return for your contributions, BOLD offers outstanding compensation, competitive salary, tax-friendly compensation structure, bi-annual bonus, annual appraisal, equity in company, full health benefits, flexible time away, and additional benefits like internet and home office reimbursement, catered meals, certification policy, and cab facilities. About BOLD: BOLD is a global organization dedicated to transforming work lives by helping people find jobs through digital products that empower individuals to create impressive resumes, cover letters, and CVs. We celebrate diversity and inclusion, fostering an environment where experts, learners, contributors, and creatives thrive together.,

AI/ML Engineer NLP Focus Location : Noida / Gurugram Type : Full-time Hiring for Our Client About The Role We are looking for a talented and experienced AI/NLP Engineer to join our clients innovative and fast-paced team. The ideal candidate is passionate about cutting-edge AI applications and has a proven track record in Natural Language Processing (NLP), Machine Learning (ML), and Generative AI. Youll play a critical role in designing, fine-tuning, deploying, and optimizing AI models for real-world applications. If you enjoy solving complex business problems using scalable AI solutions and collaborating with cross-functional teams, wed love to hear from you. Key Responsibilities Model Development & Fine-tuning : Customize, fine-tune, and optimize state-of-the-art NLP models (e.g., Transformer-based, Conformer-based, VITS). Train models from scratch for business-specific challenges. Generative AI & Prompt Engineering : Design effective prompts tailored to user and business needs. Build similarity models (e.g., BERT, XLNet, cross-encoders) for LLM-based Retrieval-Augmented Generation (RAG). Model Deployment & Optimization : Deploy models at scale using Docker, Kubernetes, and AWS. Optimize performance using vLLM (Paged Attention), quantization, and adapter-based tuning (LoRA, QLoRA). Performance Monitoring & Pipeline Development : Evaluate and enhance model performance (accuracy, latency, scalability). Build robust ML pipelines using tools like Airflow and AWS Batch. Cross-functional Collaboration : Work closely with data scientists, engineers, and product teams to integrate NLP models into production systems. Required Skills & Experience Experience : 6+ years in NLP/ML with deep expertise in fine-tuning and transfer learning. NLP Specialization : ASR, TTS, or custom LLM architectures (e.g., auto-regressive transformers, RWKV). Generative AI : Skilled in designing prompts and leveraging LLMs for business use cases. Programming : Strong in Python; experience in model implementation and pipeline building. Deployment : Hands-on with Docker, Kubernetes, and cloud platforms (AWS preferred). Frameworks & Tools : TensorFlow, PyTorch, Hugging Face, NLTK, SpaCy, Gensim. Bonus Skills (Nice To Have) Cloud & MLOps : AWS Lambda, Step Functions, Batch, GCP, Azure, or Nemo. Scalability : Experience in managing and scaling large AI deployments in production. Preferred Qualifications Bachelor's or Masters in Computer Science, Data Science, Engineering, or a related field. Experience working with large datasets and building robust preprocessing pipelines. Strong grasp of neural networks and advanced deep learning architectures for NLP. (ref:hirist.tech)

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

As an AI Developer at Compusoft Advisors India Pvt. Ltd., you will play a crucial role in developing and implementing AI solutions utilizing Azure AI and Azure Open AI platforms. Your responsibilities will involve designing and deploying machine learning models, implementing natural language processing algorithms, and collaborating with cross-functional teams to discover business opportunities and deliver tailored solutions. To excel in this role, you should have at least 3 years of hands-on experience in developing AI solutions using Azure AI and Azure Open AI platforms. Proficiency in programming languages such as Python, C#, dot net, or others is essential. A solid understanding of AI concepts, techniques, and frameworks including machine learning, deep learning, natural language processing, computer vision, and conversational AI is required. Furthermore, familiarity with AI tools and frameworks like TensorFlow, PyTorch, Keras, Scikit-learn, NLTK, SpaCy, OpenCV, etc., is crucial for success in this position. Experience in utilizing cloud services and technologies such as Azure DevOps, Azure Data Factory, Azure SQL Database, Azure Cosmos DB, Azure Storage, etc., is highly advantageous. Excellent communication, problem-solving, and analytical skills are necessary attributes for this role. A strong passion for AI, coupled with a willingness to acquire new skills and stay updated on emerging technologies, is highly valued. A Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field is a fundamental requirement to be considered for this position.,

About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers. The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. ________________________________________ Key Responsibilities: • Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. • Train, mentor, and support junior data science engineers in coding, model development, and best practices. • Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. • Translate complex business problems into actionable data science projects and deliver measurable results. • Design and lead internal workshops, code reviews, and learning sessions to upskill the team. • Collaborate with engineering and product teams to deploy models and insights into production environments. • Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. ________________________________________ Desired Skills & Qualifications: • Experience: 6+ years in Data Science/Machine Learning with at least 1–2 years of team mentoring or leadership experience. • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. ________________________________________ Technical Expertise Required: • Strong proficiency in Python and SQL; R is a plus. • Solid hands-on experience with Deep Learning and Neural Networks, particularly in Natural Language Processing (NLP), Generative AI, and Computer Vision. • Familiarity with frameworks and libraries such as TensorFlow, Keras, PyTorch, OpenCV, SpaCy, NLTK, BERT, ELMo, etc. • Experience developing Chatbots, OCR, and Face Recognition systems is preferred. • Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). • Experience applying statistical and data mining techniques such as GLM, regression, clustering, random forests, boosting, decision trees, etc. • Strong understanding of model validation, performance tuning, and deployment strategies. ________________________________________ Soft Skills: • Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. • Demonstrated ability to mentor, train, and lead junior team members effectively. • Strong analytical and problem-solving mindset with a detail-oriented approach. ________________________________________ What We Offer: • Competitive salary and benefits • A collaborative and intellectually stimulating environment • Career growth and leadership development opportunities within a fast-paced team

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India