6 Fasttext Jobs

Company Description Founded in 2018, Giggso is a No-Code ModelOps Observability platform for Data Science, Engineering teams, and Business execs. Our platform helps AI ML teams with incident management, automation, remediation, and self-healing while ensuring audit and security compliance. Giggso is web 3.0 and blockchain-enabled, consolidating information from data quality to bias and drifts to support Model Risk MExperience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Must be located in commutable distance to Chennai, Tamil Nadu, India Preferred Qualification Master's Degree. Knowledge or experience in MLOps and ModelOps practices. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions.

Job Title: Senior Machine Learning Engineer Location: Chennai ,India Experience: 4-7 Years Company: Giggso India Pvt. Ltd. About Giggso Giggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence. We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases. Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements. Optimize machine learning model training and inference times. Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes. Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation. Define and develop ML infrastructure to enhance the efficiency of ML development workflows. Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions. Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions. Thorough understanding of the full ML pipeline, from data collection to inference. Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes. Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn. Knowledge or experience in MLOps and ModelOps practices. Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization. Strong problem-solving skills with the ability to analyze, optimize, and scale models. Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success. Why Join Us? Work on cutting-edge AI/ML technologies and real-world applications.. Mentorship and leadership opportunities to grow your career. Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

Job Description : AI Engineer GenAI & Applied ML Location : Chennai / Remote-friendly Experience Level : 13 Years Job Type : Full-Time About The Role We are seeking a highly motivated AI Engineer with a strong background in Generative AI, Large Language Models (LLMs), and applied machine learning. The ideal candidate should be passionate about solving real-world problems using cutting-edge AI technologies and experienced in developing, deploying, and optimizing end-to-end ML pipelines. Key Responsibilities Design, build, and deploy AI solutions leveraging LLMs (e.g., OpenAI, Hugging Face, Cohere) for document intelligence, automation, and Q&A systems. Integrate RAG (Retrieval-Augmented Generation), prompt engineering, and zero/few-shot learning for domain-specific applications. Develop NLP models using advanced techniques such as NER, topic modeling, embeddings (Word2Vec, FastText), and transformers (BERT, GPT). Collaborate with product and engineering teams to integrate AI features into scalable platforms. Work with tools like Lang Chain, Flask, and AWS/GCP to produce models. Automate data extraction, classification, and analysis using Python, Selenium, and web scraping tools. Use frameworks like TensorFlow, PyTorch, and Scikit-learn for training deep learning models across NLP, CV, and recommendation domains. Required Skills & Qualifications Bachelor's/masters degree in computer science, AI/ML, Data Science, or related fields. 1+ years of hands-on experience in building AI/ML models Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, Scikit-learn. Experience with LLM orchestration frameworks (LangChain or custom pipelines). Exposure to cloud platforms like AWS, GCP, or Azure. Strong understanding of NLP, Computer Vision, or Recommendation Systems. Experience with SQL, data pipelines, and big data tools (Hadoop, Spark) is a plus. Good understanding of explainable AI (XAI) and model interpretability. Nice To Have Projects or experience in healthcare AI, document processing, or legal/finance AI applications. Familiarity with Flask/Django for API development. Contributions to research or published papers in ML/NLP conferences. (ref:hirist.tech)

DISCO is aimed at redefining the landscape of legal technology. Ultimately, we seek to enable lawyers to achieve more efficient, data-oriented, and fact-based legal outcomes. We started our journey as a company by focusing on the crucial 'discovery' phase of the legal process. Our initial offering, Ediscovery, focuses on enabling legal teams to achieve these outcomes with incredible efficiency. The massive data proliferation over the last decades has revealed the limitations of many legal technology products, impacting the efficiency of legal practices. At DISCO, we strive to provide solutions to the legal domain that are magical. To do so requires the processing of large volumes of data at petabyte scale, while maximizing performance & minimizing operations cost, and serving this data to users intuitively with fluid, highly responsive consumer-grade experiences. Our overarching mission is to create a unified technology platform for the practice of law. We envision a suite of products focused on delivering distinctly better legal outcomes with a minimum of human toil and cost. Our technology addresses the challenges of scale in data and enables legal teams to focus on the critical tasks that necessitate human legal judgment. With a trajectory that has already seen substantial disruption in this market, our approach is underscored by a lawyer-inspired interface and a cloud-enabled technology platform, aiming for exemplary performance and cost efficiency. Thoughtful product planning and design are ingrained in our “product first” business ethos and culture, aligning with the broader objective of enhancing the practice of law through technology. Your Impact As An Engineering Manager For Feature, You Will Own mission critical Front-end and Back-end systems responsible for delivering magical, consumer-grade experiences Guide your team to deliver value pragmatically and productively while building architecturally sound, well-crafted, secure, testable, interoperable, and easily modifiable systems Build an effective team by hiring and developing top talent, instituting and evolving team practices, and fostering a culture of respect, cooperation, dependability, ownership, and gratitude Foster operational excellence, improving the performance, availability, and scalability of your systems, and your staff’s ability to consistently improve them Represent the team and charter to internal stakeholders, leadership, and the business Evaluate team architectural designs for completeness and coherence with requirements Work closely with partners in Product to align on business goals and deliverables Work closely with partners in Design to evaluate their artifacts for completeness and coherence with requirements and existing UI patterns What You'll Do Your team will own: Highly responsive, low-latency, feature-rich experiences that are at the core of our products For example: search builders, visual filters, highly customizable results lists, dashboards, and data exports Scalable, event-driven back-end systems that leverage serverless or containerized compute to balance cost, latency, and duration Who You Are 10+ years of experience including prior hands-on experience developing both front-end and back-end systems that operate in a cloud native environment 3+ years of engineering management including experience hiring, managing, and growing engineers up to staff level Experienced with owning a team charter and managing a technical roadmap. Understand architectural patterns and techniques such as domain-driven design, service-oriented architecture, API-first design, diagramming conventions, etc. Experience with federated GraphQL and designing encapsulated, scalable data schemas for it History of owning and improving operational excellence for front-end and back-end systems where developers are responsible for site reliability Track record of delivering well tested, reliable systems and fostering a culture of quality Skilled with front-end technologies such as React and Micro-Frontends Working knowledge of some back-end architectures & datastores such as SQL and NoSQL stores, multitenant systems, and microservice architectures Excellent verbal and written communication skills with a good sense of when there’s a need to dive into the details Even Better If You Have... Experience with high-scale data streaming architectures (e.g., kafka, kinesis) Experience in organization design, charter definition, and engineering roadmap development and prioritization Experience working with end-to-end UI regression testing and tools like Cypress or Playwright Experience with different application bundlers such as Webpack, Rollup, Parcel, EMS, etc. Some of Our Technology Stack Cloud Provider: AWS DSL-based Search: multiple large-scale Elasticsearch Clusters searched using our Disco Query Language (DQL), Vector Search Persistence: Elasticsearch, Cassandra, SQL data stores, others Event Bus: Kafka & Schema Registry Deployment: Terraform, Docker (via ECS), Consul for App Config, Service Discovery, Shared Secrets AI: LLMs, MinHash, FastText, Word2Vec, Convolutional Neural Nets, PyTorch, Recurrent Neural Networks, Latent Dirichlet Allocation for Topic Modeling, etc. Languages: Typescript, Kotlin/Java, C#/.NET, Python, Transport Mechanisms: Protobuf, Avro, HTTP Rest/JSON, GraphQL UI Libraries: React, Apollo, React Query, Redux, Redux Sagas, Jest, Cypress Perks of DISCO Open, inclusive, and fun environment Benefits, including medical and dental insurance Competitive salary plus discretionary bonus Opportunity to be a part of a startup that is revolutionizing the legal industry Growth opportunities throughout the company About DISCO DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters. Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us! We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

Job Title: Senior Machine Learning EngineerLocation: Chennai ,IndiaExperience: 3-7 YearsCompany: Giggso India Pvt. Ltd. About GiggsoGiggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows. Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence.We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale. Job Summary We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization. Key Responsibilities Develop, train, deploy, and monitor Machine Learning models for various business use cases.Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements.Optimize machine learning model training and inference times.Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes.Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation.Define and develop ML infrastructure to enhance the efficiency of ML development workflows.Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions.Communicate complex data science concepts effectively to technical and non-technical stakeholders. Required Skills & Qualifications Experience in productizing and deploying Machine Learning solutions.Thorough understanding of the full ML pipeline, from data collection to inference.Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.Knowledge or experience in MLOps and ModelOps practices.Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.Strong problem-solving skills with the ability to analyze, optimize, and scale models.Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions. What We Look For We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success.Why Join Us?Work on cutting-edge AI/ML technologies and real-world applications..Mentorship and leadership opportunities to grow your career.Collaborate with global teams and work on innovative projects. If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!