149 Spacy Jobs - Page 3

The position available at Alegra Labs requires experienced candidates with a minimum of 2 to 3 years of relevant experience. The ideal candidate should have a strong understanding of Version Control, including familiarity with Git GUI and Command Line. Additionally, proficiency in Unit Testing, particularly Test-Driven Development (TDD), and experience with CI/CD Pipeline is expected. It is essential that candidates are well-versed in Open Source technologies and have a good grasp of Linux systems. Candidates applying for this position must have expertise in at least one JavaScript framework such as Angular, React, or Vue. While VueJS is preferred, proficiency in any JavaScript framework is acceptable. Mere knowledge of Python is not sufficient; applicants should be capable of running programs as Web Applications and have experience with Python frameworks like Flask and Django. Familiarity with Artificial Intelligence technologies such as Scikit, Spacy, TensorFlow, Pytorch, OpenCV, as well as knowledge in Natural Language Processing (NLP) and Deep Neural Networks is highly desired. Moreover, the candidate should have experience in deploying Python applications on NGINX, running Python applications through UWSGI on specific ports, and a comprehensive understanding of Linux systems. The ideal candidate for this role should be well-versed in various technologies and tools to effectively contribute to the development and deployment of applications.,

Roles & Responsibilities Day-to-day technical responsibilities Design solutions and implement generative AI models and algorithms, utilizing state-of-the-art algorithms such as GPT, VAE, and GANs. Work on integrating cloud with GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services. Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation. Drive the team to build GenAI products and solutions, working in an agile methodology Stakeholder Interaction & Management Work with internal teams and get relevant data/inputs for preparing documents such as RFP responses, capability demonstrations, client presentations and collaterals, participating in the customer calls to sell solutions etc. Collaborate with relevant stakeholders/teams to get feedback and make revisions to ensure that the proposal stays relevant to the needs throughout various proposal stages. Ensures communication among all parties throughout the proposal process Identifies bottlenecks in the process escalating accordingly to higher level, as necessary, to ensure timetable and deliverables remain on track Reach out to the below mentioned internal teams during proposal creation. Effective Project Management Effectively and efficiently plan, organize, lead and control the delivery of the final solution/proposal/document Prepare a work plan that lists the tasks required to create the proposal, such as design, writing, editing, review and production Uses strong interpersonal, organizational, and time management skills to juggle multiple tasks with differing deadlines to consistently produce the document Collaborate and influence internal key stakeholders to get relevant data within the specified timeline to ensure relevant data in plugged into the solution Ensure promptness and compliance of proposals by creating and managing proposal calendars, compliance checklists, compliance matrices, trackers, etc. Oversees collection and completion of all proposal components (technical, cost, management, annexes) working in collaboration with internal teams, as well as partners. Follow up with relevant stakeholders/teams to get feedback and revisions and ensure that the proposal development stays on schedule. Update the sales team and other stakeholders on a regular basis on the progress of the proposal Tech skills you will have You have solid experience over the last few years 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. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Prompt engineering for GenAI algorithms Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Deployment of GenAI models Scrum/ Agile Why work at Wipro We pride ourselves on creating an inclusive workplace that provides equal opportunities to all persons regardless of their age, cultural background, sexual orientation, gender identity and expression, disability, veteran status, or anything else. If you only meet some of the requirements for this role, that's okay! We value a diverse range of backgrounds & ideas and believe this is fundamental for our future success. So, if you have the curiosity to learn and the willingness to teach what you know, we'd love to hear from you. Wipro has been globally recognized by several organizations for our commitment to sustainability, inclusion, and diversity. Social good is in our DNA, we believe in sustainability for the health of our planet, its inhabitants, and our business. For over 75 years we have operated as a purpose-driven company with an unwavering commitment to our customers and our communities. Energized by what we call the Spirit of Wipro, we commit ourselves to being a catalyst for change working to build a more just, equitable and sustainable society. Around 66% of Wipros economic ownership is pledged towards philanthropic purposes. All of our employees are expected to embody Wipros 5-Habits for Success which are: Being Respectful, Being Responsive, Always Communicating, Demonstrate Stewardship, Building Trust. Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the > Applications from people with disabilities are explicitly welcome.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client"s challenges of today and tomorrow.Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your role As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation. The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams. The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus. Programming Languages Python NumPy, SciPy, Pandas, MatPlotLib, Seaborne Databases RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.) ML/DL Frameworks SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O Cloud Azure/AWS/GCP Your Profile Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus. Unsupervised learning Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. NLP Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications. Model Deployment ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud. Required Qualifications Masters degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelors degree with relevant experience. Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI. Preferred Experience Experienced in Agile way of working, manage team effort and track through JIRA Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum. Experience in POC, MVP, PoV and assets creations with innovative use cases Experience working in a consulting environment is highly desirable. Presupposition High Impact client communication The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Programming Languages: Python, Scala Machine Learning frameworks: Scikit Learn, Xgboost, Tensorflow, Keras, PyTorch, Spacy, Gensim, Stanford NLP, NLTK, Open CV, Spark MLlib, . Machine Learning Algorithms experience good to have Scheduling experience: Airflow Big Data/ Streaming/ Queues: Apache Spark, Apache Nifi, Apache Kafka, RabbitMQ any one of them Databases: MySQL, Mongo/Redis/Dynamo DB, Hive Source Control: GIT Cloud: AWS Build and Deployment: Jenkins, Docker, Docker Swarm, Kubernetes. BI tool: Quicksight(preferred) else any BI tool (Must have)

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum’s Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle – from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation Collaborate with cross-functional teams – including ML engineers, annotators, and clinical domain experts – to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka) Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing Solid understanding of machine learning algorithms, NLP principles, and data modeling principles Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats. Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #NJP External Candidate Application Internal Employee Application

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultant- Generative AI - Application development Senior Developer We are looking for a Senior Application Developer to join our product engineering team. This role requires hands-on experience in designing and developing scalable application components with a strong focus on API development, middleware orchestration, and data transformation workflows. You will be responsible for building foundational components that integrate data pipelines, orchestration layers, and user interfaces, enabling next-gen digital and AI-powered experiences. Key Responsibilities: Design, develop, and manage robust APIs and middleware services using Python frameworks like FastAPI and Uvicorn , ensuring scalable and secure access to platform capabilities. Develop end-to-end data transformation workflows and pipelines using LangChain , spacy , tiktoken , presidio-analyzer, and llm -guard, enabling intelligent content and data processing. Implement integration layers and orchestration logic for seamless communication between data sources, services, and UI using technologies like OpenSearch, boto3, requests-aws4auth, and urllib3. Work closely with UI/UX teams to integrate APIs into modern front-end frameworks such as ReactJS, Redux Toolkit, and Material UI. Build configurable modules for ingestion, processing, and output using Python libraries like PyMuPDF , openpyxl , and Unidecode for handling structured and unstructured data. Implement best practices for API security, data privacy, and anonymization using tools like presidio-anonymizer and llm -guard. Drive continuous improvement in performance, scalability, and reliability of the platform architecture. Qualifications we seek in you: Minimum Qualifications Experience in software development in enterprise/ web applications Languages & Frameworks: Python, JavaScript/TypeScript, FastAPI , ReactJS, Redux Toolkit Libraries & Tools: langchain , presidio-analyzer, PyMuPDF , spacy, rake- nltk , inflection, openpyxl , tiktoken APIs & Integration: FastAPI , requests, urllib3, boto3, opensearch-py , requests-aws4auth UI/UX: ReactJS, Material UI, LESS Cloud & DevOps: AWS SDKs, API gateways, logging, and monitoring frameworks (optional experience with serverless is a plus) Preferred Qualifications: Strong understanding of API lifecycle management, REST principles, and microservices. Experience in data transformation, document processing, and middleware architecture. Exposure to AI/ML or Generative AI workflows using LangChain or OpenAI APIs. Prior experience working on secure and compliant systems involving user data. Experience in CI/CD pipelines, containerization (Docker), and cloud-native deployments (AWS preferred). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

You will be joining NTT DATA as a Digital Engineering Lead Engineer based in Pune, Maharashtra (IN-MH), India. In this role, you will be responsible for ideating and developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. Utilizing your statistical skills and advanced statistical techniques, you will apply your expertise in ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. It is essential to have a deep understanding of Python open-source software stack, including Django or Flask, Django Rest or FastAPI. Your knowledge in statistics, Machine Learning models, deep learning models, NLP, GAN, and other generative models will be leveraged in this role. Experience with RAG technologies, LLM frameworks, model registries, embedding models, and vector databases is required. You will be expected to demonstrate proficiency in programming languages such as Python and have a strong understanding of various Python packages, along with experience in TensorFlow, PyTorch, or Keras. Collaborating with cross-functional teams, you will develop and implement GenAI solutions, supporting the successful execution of AI projects for various clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. Working on RAG models to enhance AI solutions and maintaining data infrastructure for actionable insights will be part of your responsibilities. Your role will involve collaborating with data science teams, understanding customer requirements, and delivering customized AI solutions. Preferred qualifications include experience in Private AI and Smart Agent Solutions. You should have a minimum of 2+ years of experience architecting high-impact GenAI solutions and 5+ years of experience in projects related to predictive analytics, data design, generative AI, AI/ML, and ML Ops. A Bachelor's Degree is required for this position, along with 3+ years of experience using Python. The ability to travel at least 25% of the time is also necessary. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA provides services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping clients innovate, optimize, and transform for long-term success, with a commitment to moving confidently and sustainably into the digital future.,

As an AI/ML/NLP Developer with at least 3 years of experience, you will be responsible for designing, developing, and optimizing machine learning models tailored specifically for Natural Language Processing (NLP) and Optical Character Recognition (OCR) applications. Your role will involve building and maintaining a diverse range of classification and regression models using libraries like Scikit-learn and other relevant machine learning frameworks. You will also be utilizing deep learning architectures, such as Convolutional Neural Networks (CNN), Region-based Convolutional Neural Networks (R-CNN), and Long Short-Term Memory networks (LSTM), to create advanced AI models. Moreover, you will work extensively with NLP libraries like SpaCy, NLTK, and Transformers, focusing on tasks like language modeling, text processing, and information extraction. Your proficiency in Python programming is crucial, along with deep practical experience in core Python libraries for data science including NumPy, Scikit-learn, and Pandas. A solid foundational understanding of Machine Learning principles and techniques, encompassing supervised and unsupervised learning methodologies, as well as regression, is essential for this role. Preferred qualifications include experience with major cloud platforms such as AWS, Google Cloud Platform (GCP), and Microsoft Azure for deploying machine learning models and applications. Exposure to MLOps practices and automated model deployment will be an added advantage. Join smartData, a global leader in software business consulting and technology integrations, dedicated to simplifying and securing business operations for start-ups and small to medium enterprises. With over 20 years of experience and 8000+ projects, smartData offers domain and technology consulting, in-house products, and unique productized services that act as business integrators, accelerating time to market for customers. Operating from the US, Australia, and India, smartData ensures continuous business growth for its clients through round-the-clock connectivity and next-door assistance. Specializing in healthcare, B2B, B2C, B2B2C platforms, online delivery services, video platform services, and IT services, smartData leverages expertise in Microsoft, LAMP stack, MEAN/MERN stack, and a mobility-first approach to meet customer needs efficiently. By integrating AI & ML technologies with mobility stacks, such as native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, Phone Gap), smartData delivers ongoing solutions tailored to customer requirements.,

HCLTech is seeking a Data and AI Principal / Senior Manager (Generative AI) for their Noida location. As a global technology company with a workforce of over 218,000 employees in 59 countries, HCLTech specializes in digital, engineering, cloud, and AI solutions. The company collaborates with clients across various industries such as Financial Services, Manufacturing, Life Sciences, Healthcare, Technology, Telecom, Retail, and Public Services, offering innovative technology services and products. With consolidated revenues of $13.7 billion as of the 12 months ending September 2024, HCLTech aims to drive progress and transformation for its clients globally. Key Responsibilities: In this role, you will be responsible for providing hands-on technical leadership and oversight, including leading the design of AI and GenAI solutions, machine learning pipelines, and data architectures. You will actively contribute to coding, solution design, and troubleshooting critical components, collaborating with Account Teams, Client Partners, and Domain SMEs to ensure technical solutions align with business needs. Additionally, you will mentor and guide engineers across various functions to foster a collaborative and high-performance team environment. As part of the role, you will design and implement system and API architectures, integrating microservices, RESTful APIs, cloud-based services, and machine learning models seamlessly into GenAI and data platforms. You will lead the integration of AI, GenAI, and Agentic applications, NLP models, and large language models into scalable production systems. You will also architect ETL pipelines, data lakes, and data warehouses using tools like Apache Spark, Airflow, and Google BigQuery, and drive deployment using cloud platforms such as AWS, Azure, and GCP. Furthermore, you will lead the design and deployment of machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn, ensuring accurate and reliable outputs. You will develop prompt engineering techniques for GenAI models and implement best practices for ML model performance monitoring and continuous training. The role also involves expertise in CI/CD pipelines, Infrastructure-as-Code, cloud management, stakeholder communication, agile development, performance optimization, and scalability strategies. Required Qualifications: - 15+ years of hands-on technical experience in software engineering, with at least 5+ years in a leadership role managing cross-functional teams in AI, GenAI, machine learning, data engineering, and cloud infrastructure. - Proficiency in Python and experience with Flask, Django, or FastAPI for API development. - Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, and integrating them into AI frameworks. - Familiarity with ETL pipelines, data lakes, data warehouses, and data processing tools like Apache Spark, Airflow, and Kafka. - Strong expertise in CI/CD pipelines, containerization, Infrastructure-as-Code, and API security for high-traffic systems. If you are interested in this position, please share your profile with the required details including Overall Experience, Skills, Current and Preferred Location, Current and Expected CTC, and Notice Period to paridhnya_dhawankar@hcltech.com.,

You should have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You must possess solid experience in developing and implementing generative AI models, with a deep understanding of techniques like GPT, VAE, and GANs. Proficiency in Python and experience with machine learning libraries like TensorFlow, PyTorch, or Keras is required. Strong knowledge of data structures, algorithms, and software engineering principles is essential. Familiarity with cloud-based platforms such as AWS, GCP, or Azure is expected. Experience with natural language processing (NLP) techniques and tools like SpaCy, NLTK, or Hugging Face is necessary. Knowledge of data visualization tools and libraries such as Matplotlib, Seaborn, or Plotly is preferred. Understanding of software development methodologies like Agile or Scrum is important. Excellent problem-solving skills are a must, with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills are required to effectively convey complex technical concepts to a diverse audience. A proactive mindset is essential, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.,

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

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

As a Python Engineer with 2-4 years of experience, you will be responsible for building, deploying, and scaling Python applications along with AI/ML solutions. Your strong programming skills will be put to use in developing intelligent solutions and collaborating closely with clients and software engineers to implement machine learning models. You should be an expert in Python, with advanced knowledge of Flask/FastAPI and server programming to implement complex business logic. Understanding fundamental design principles behind scalable applications is crucial. Independently designing, developing, and deploying machine learning models and AI algorithms tailored to business requirements will be a key aspect of your role. Your responsibilities will include solving complex technical challenges through innovative AI/ML solutions, building and maintaining integrations (e.g., APIs) for machine learning models, conducting data preprocessing and feature engineering, and optimizing datasets for model training and inference. Monitoring and continuously improving model performance in production environments, focusing on scalability and efficiency, will also be part of your tasks. Managing model deployment, monitoring, and scaling using tools like Docker, Kubernetes, and cloud services will be essential. You will need to develop integration strategies for smooth communication between APIs and troubleshoot integration issues. Creating and maintaining comprehensive documentation for AI/ML projects will be necessary, along with staying updated on emerging trends and technologies in AI/ML. Key Skills Required: - Proficiency in Python, R, or similar languages commonly used in ML/AI development - Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML libraries - Strong knowledge of data preprocessing, data cleaning, and feature engineering - Familiarity with model deployment using Docker, Kubernetes, or cloud platforms - Understanding of statistical methods, probability, and data-driven decision-making processes - Proficient in querying databases for ML projects - Experience with ML lifecycle management tools like MLflow, Kubeflow - Familiarity with NLP frameworks for language-based AI solutions - Exposure to computer vision techniques - Experience with managed ML services like AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform - Familiarity with agile workflows and DevOps or CI/CD pipelines Good to Have Skills: - Exposure to big data processing tools like Spark, Hadoop - Experience with agile development methodologies The job location for this role is in Ahmedabad/Pune, and the required educational qualifications include a UG degree in BE/BTech or PG degree in ME/M-Tech/MCA/MSC-IT/Data Science, AI, Machine Learning, or a related field.,

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

HCLTech is looking for a Data and AI Principal / Senior Manager (Generative AI) to join their team in Noida. As a global technology company with a strong presence in 59 countries and over 218,000 employees, HCLTech is a leader in digital, engineering, cloud, and AI services. They collaborate with clients in various industries such as Financial Services, Manufacturing, Life Sciences, Healthcare, Technology, Telecom, Media, Retail, and Public Services. With consolidated revenues of $13.7 billion, HCLTech aims to provide industry-leading capabilities to drive progress for their clients. In this role, you will be responsible for providing hands-on technical leadership and oversight. This includes leading the design of AI, GenAI solutions, machine learning pipelines, and data architectures to ensure performance, scalability, and resilience. You will actively contribute to coding, code reviews, and solution design, while working closely with Account Teams, Client Partners, and Domain SMEs to align technical solutions with business needs. Mentoring and guiding engineers across various functions will be an essential aspect of this role, fostering a collaborative and high-performance team environment. Your role will also involve designing and implementing system and API architectures, integrating AI, GenAI, and Agentic applications into production systems, and architecting ETL pipelines, data lakes, and data warehouses using industry-leading tools. You will drive the deployment and scaling of solutions using cloud platforms like AWS, Azure, and GCP, while leading the integration of machine learning models into end-to-end production workflows. Additionally, you will be responsible for leading CI/CD pipeline efforts, infrastructure automation, and ensuring robust integration with cloud platforms. Stakeholder communication, promoting Agile methodologies, and optimizing performance and scalability of applications will be key responsibilities. The ideal candidate will have at least 15 years of hands-on technical experience in software engineering, with a focus on AI, GenAI, machine learning, data engineering, and cloud infrastructure. If you meet the qualifications and are passionate about driving innovation in AI and data technologies, we invite you to share your profile with us. Kindly email your details to paridhnya_dhawankar@hcltech.com including your overall experience, skills, current and preferred location, current and expected CTC, and notice period. We look forward to hearing from you and exploring the opportunity to work together at HCLTech.,

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview As a Senior AI Engineer in Data Sciences, you will play crucial role in designing , implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests. P osition Overvie w Support Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling Strategies Support the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in Computer Science or o ver 3 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Experience working with Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Experience optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Excellent problem-solving skills combined with strong analytical abilities. Know More here Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid O verview As a Lead AI Engineer in Data Sciences, you will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, youll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R ) and learn and adhere to best practices in data analysis and data understanding. Team Overview The Content Creation team within Data Sciences will help build AI solutions leveraging GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests . Position Overvie w Lead Development of Generative AI ApplicationsArchitect and develop advanced generative AI solutions that support business objectives , ensuring high performance and scalability. Performance Tuning & Optimization Identify bottlenecks in applications and implement strategies to improve performance. Optimize machine learning models for efficiency in production environments. Collaborate Cross-FunctionallyWork closely with data scientists, product managers, and other stakeholders to gather requirements and transform them into robust technical solutions. Mentor Junior EngineersProvide guidance and mentorship to team members on best practices in coding standards, architectural design, and machine learning techniques. Research & InnovationStay abreast of the latest advancements in the field of Artificial Intelligence. Propose new ideas that could lead to innovations within the organization. Deployment & Scaling StrategiesLead the deployment process of applications on cloud platforms while ensuring they are scalable to handle increasing loads without compromising performance. Documentation & Quality AssuranceDevelop comprehensive documentation for projects undertaken. Implement rigorous testing methodologies to ensure high-quality deliverables. About You 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience Masters in computer science or equivalent industry experience Over 6 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency in production environments at scale. Experience in working with image, text data, embeddings , building & deploying vision models , integrating with Gen AI services Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable Hands-on experience in libraries like NumPy, SciPy, Pandas, OpenCV, SpaCY , NLTK is expected Experience in optimizing ML model performance using techniques such as hyperparameter tuning, feature selection, and distributed training Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Experience working on GPU s is preferred Proven track record of optimizing machine learning models for performance improvements across various platforms including cloud services (AWS, Google Cloud Platform) Expertise in MLOps frameworks and hands on experience in MLOps tools like Kubeflow, MLFlow or Sagemaker Deep understanding of system architecture principles related to scalability and robust application design. Excellent communication, problem-solving skills combined with strong analytical abilities. Proven leadership skills with experience mentoring junior engineers effectively Know More here Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies.

As a Data & AI Manager at our organization, you will be responsible for driving AI and data strategies to ensure our company remains at the forefront of AI innovation. You will leverage your expertise in Generative AI, Natural Language Processing (NLP), and AI-driven document processing technologies to lead projects, work hands-on with AI frameworks and tools, and guide the adoption of AI best practices within the organization. In this role, you will play a key part in setting strategic AI goals, contributing to the development of best practices and frameworks for AI model development, deployment, and maintenance. You will champion the use of advanced AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, spaCy, and Transformers for NLP. Additionally, you will stay updated with the latest advancements in AI/ML, incorporating new technologies like Generative AI and Document Processing tools such as LayoutLM and Donut, while contributing innovative solutions to AI challenges. Furthermore, as a leader in this capacity, you will focus on team development by mentoring junior AI team members, sharing your expertise, and fostering a collaborative culture of innovation and excellence. You will collaborate with R&D, engineering, and business development teams to turn AI insights into actionable solutions, driving the development of AI-powered products and services. Effective communication of AI strategies and developments to functional heads and executive leadership will also be a critical aspect of your role, ensuring alignment and understanding across all levels of the organization. Our selection process for this role will include an Aspiration Alignment Discussion, Role Fitment Round, and HR Round for interaction and offer extension. Perennial Systems, our organization, is an Outsourced Product Development Organization specializing in solving complex problems of engineering and product teams using a process-driven approach. We work with various product-based companies across South East Asia, US & UK, and focus on building products with cutting-edge technologies for web, mobile, and cloud platforms. Additionally, we are the proud owner of GSTTHero, a product appointed by the Govt of India as a GST Suvidha Provider, enabling automations of GST compliances in India. At Perennial, we offer strong engineering teams, consulting exposure & product-driven mindset, learning culture, and a collaborative environment to support our team members in exploring and learning the upcoming market trends. We promote a learning culture with access to more than 8000+ courses, sponsor certifications, and arrange in-house and external tech MeetUps to enhance the growth of our people. Our teams work closely with other verticals to ensure a seamless and collaborative approach to client acquisition and retention.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,