Looking for a dynamic senior React Developer to work as part of one of the top engineering companies in the world, handling some of the most complex scenarios. In this role, you will be building the UI for Apple Maps. APPLY ONLY IF YOU CAN JOIN BY 10th June 2025 Basic qualifications: Min 5 years of experience in front-end development primarily using React Js framework Strong hands-on experience in building UI with React, Javascript, Typescript Knowledge of Solr and Elastic Search queries is a plus Should have an eye to build beautiful UI with good user experience Experience working with GraphQL, and complex APIs to build data-driven UI applications Should have knowledge of Webpack Should possess excellent troubleshooting skills. Please share your resume, and our team will get back to you with more details. Show more Show less
Job Description ( Candidates with less than 5 years of experience, please do not apply for this. Wait for my next post for engineer roles) In this role, you will be working with one of the top engineering companies in the world, will be handling complex algorithms involving peta bytes of data. In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities Development of machine learning models Building and maintaining software development solutions Provide insights by applying data science methods Take ownership of delivering features and improvements on time Must-have Qualifications 6+ years experience Senior data scientist/ML engineer preferable with knowledge of NLP Strong programming skills and extensive experience with PythonProfessional experience working with LLMs, transformers and open-source models from HuggingFace Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). Experience using deep learning libraries and platforms, such as PyTorch Experience with frameworks such as Sklearn, Numpy, Pandas, Polars Excellent analytical and problem solving skillsExcellent oral and written communication skills Extra Merit Qualifications Knowledge in at least one of the following: NLP, information retrieval, data mining Ability to do statistical modeling and building predictive models Programming skills and experience with Scala and/or Java Show more Show less
In this role, you will be working with one of the top engineering companies in the world and will operationalizing very complex ML Models and Algorithms involving petabytes of data. Job Location : Hyderabad ( Hybrid) Responsibilities Data Pipeline Management Maintain and optimize training data pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability Model Lifecycle Management Onboard new ML models onto the existing platform with standardized training automation and interfaces. MLOps Maintain and enhance CI/CD pipelines for ML data & model pipelines Operate sign-off and deployment processes, ensuring high quality model sign-off Quality Dashboards Design and develop quality dashboards to monitor the quality and reliability of both models as well as data artifacts produced Qualifications Bachelor’s degree in computer science, engineering, or a related field. Minimum 7+ years of experience in software engineering with a focus on full-stack development and infrastructure. Prior hands-on experience in ML model productionalization and operationalization Familiarity with ML frameworks such as scikit-learn, PyTorch, Tensorflow Familiarity with data processing frameworks such as Spark Familiarity with modern CI/CD and MLOps best practices. Strong problem-solving and analytical skills. Proven track record of working independently and as part of a distributed global team.