2 Fasttext Jobs

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!