BayOne Solutions is looking for Developer Speciality V_IND to join our dynamic team and embark on a rewarding career journey Design and develop specialized applications Ensure functionality and performance Collaborate with cross-functional teams Maintain and update existing systems

Must have: 6 to 7 years of experience as an Engineer Strong experience with Java and Microservices Must have some experience with React and jQuery Some experience with JavaScript Someone who has prior architecture, working as a domain architect or architecture experience Responsibilities: Lead technical development efforts across our engineering team Work with engineering leadership to develop objectives aligned with product priorities Manage the sprint process along with day-to-day tasks including reviewing pull requests, creating tickets based off objectives, creating subtasks, and code reviews Develop, document, and maintain architectures, requirements, algorithms, interfaces and designs for software systems Develop and maintain code, integrating software components into a fully functional software system Lead process reviews and provide guidance to less experienced employees Contribute to proposals when needed, including performing and documenting results, and aiding technology transfer into programs ",

BayOne is a minority owned Talent Solutions Partner based in the Bay Area, Pleasanton, California, with a passion for diversity in the Tech Industry. We are hiring for US Accounts Manager role for our Gurugram office. Designation: Accounts Manager - APLocation: Gurugram (onsite)Shift: 10pm - 7am IST (night shift)5 days working - Sat/Sun fixed off.Both side cab facility and free meals Interested candidates with relevant experience can share the resume at pbisht@bayonesolutions.com Key Responsibilities:Manage end-to-end accounts payable processes, including invoice processing, expense reports, and vendor payments.Ensure accurate coding of expenses and timely recording of transactions.Reconcile AP ledgers to ensure accuracy and proper posting.Collaborate with internal teams and vendors to resolve discrepancies.Prepare and analyze AP aging reports and assist with month-end closings.Ensure compliance with company policies and relevant regulations.Assist in process improvements for accounts payable.Qualifications & Skills:Masters' degree in Accounting/Costing.45 years of hands-on experience in accounts payable.Strong knowledge of accounting principles and AP processes.Proficiency in accounting software and MS Excel.Excellent attention to detail and organizational skills.Strong communication and problem-solving abilities.Preferred:Experience with QuickBooks.Familiarity with USA regulatory compliances.Comfortable working onsite from Gurugram office.

Build/manage an existing internal web-based tool used by FTEs Tech is mainly Flutter including Dart and React This is a UI content heavy tool involving lot of widgets The UI connects to a bunch of backend apis to get data The data from the UI will also be written back to backend systems Multiple users will parallelly work on this system so needs to handle concurrency Well versed with HTML/CSS as there are preview options which has to adhere to UI spec Well versed with API frameworks like Rest/GRPC etc.. to help with backend integrations Latency/performance of the UI is an important metric Use already built in widgets and contributing back to widget library Exposure to rich set of widgets supported by Flutter Able to make backend and database changes for the supporting APIs Development happens on Intellij mostly and java programming language

= We are seeking a talented and passionate Google Cloud Looker Developer to join our growing data team. You will play a crucial role in empowering data-driven decision-making across the organization by designing, building, and maintaining insightful and interactive dashboards and reports using Looker. Youll work closely with stakeholders to understand their needs, translate them into effective data visualizations, and ensure the performance and scalability of our Looker environment. Responsibilities Develop and Maintain LookML: Create and maintain robust, well-documented LookML models to support diverse business requirements. Design & Build Dashboards: Design, build, and deploy interactive and visually appealing dashboards and reports in Looker that effectively communicate key insights. Collaborate with Stakeholders: Partner with business users and analysts to gather requirements, understand their needs, and translate them into technical specifications. Optimize Performance: Optimize Looker performance, including LookML models and data models, for scalability, efficiency, and a great user experience. Data Visualization Best Practices: Implement data visualization best practices to ensure clear and effective communication of data insights. Define & Track Metrics: Work with stakeholders to define and track key performance indicators (KPIs) and build visualizations to monitor them. Troubleshoot & Resolve: Diagnose and resolve Looker-related issues, ensuring high availability and reliability of the platform. Stay Current: Stay up-to-date with the latest Looker and Google Cloud Platform (GCP) features, best practices, and advancements. Must-Haves (Absolutely Required): LookML Expertise: Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables. Must be able to write clean, efficient, and reusable LookML. Having a Looker certification is a plus. Advanced SQL: Excellent SQL skills for data querying, manipulation, and analysis. Must be comfortable with complex queries and data transformations. Data Warehousing Knowledge: In-depth understanding of data warehousing concepts (star schemas, snowflake schemas, etc.) and data modeling techniques. Data Visualization Skills: Proven experience creating clear, insightful, and user-friendly data visualizations. Experience with Lookers visualization options is essential. Requirements Gathering: Ability to translate business requirements into technical solutions, working effectively with both technical and non-technical stakeholders. Problem-Solving: Excellent problem-solving and analytical skills, with a strong attention to detail. Communication & Collaboration: Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams. Education: Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or a related field

Job Summary: We are seeking a highly skilled Data/ML Engineer to design, build, and optimize data pipelines and machine learning infrastructure. You will work closely with data scientists, analysts, and software engineers to enable scalable machine learning models and real-time data processing. This role requires expertise in big data processing, cloud technologies, and MLOps best practices to support AI-driven applications. Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines for structured and unstructured data. Implement scalable data architectures using cloud platforms (AWS, GCP, Azure). Develop and optimize machine learning pipelines for training, validation, and deployment. Work closely with data scientists to productionize ML models using MLflow, TensorFlow, PyTorch, or Scikit-learn. Implement MLOps best practices, including CI/CD pipelines for model deployment and monitoring. Optimize data storage and retrieval using data lakes, warehouses (Snowflake, Redshift, BigQuery), and NoSQL databases. Develop real-time data streaming solutions using Kafka, Kinesis, or Apache Flink. Ensure data quality, governance, and compliance with industry standards. Automate workflows using Airflow, Prefect, or Dagster. Monitor model performance and ensure retraining pipelines are in place. Required Skills Qualifications: 3-7 years of experience in Data Engineering, ML Engineering, or a related field. Strong programming skills in Python and SQL (experience with Scala or Java is a plus). Hands-on experience with big data processing frameworks (Spark, Hadoop, Dask). Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with containerization (Docker, Kubernetes) for model deployment. Familiarity with feature engineering, feature stores, and vector databases (Feast, Pinecone). Strong understanding of data pipelines, batch streaming data processing. Knowledge of MLOps tools (Kubeflow, MLflow, Sagemaker, Vertex AI). Proficiency in cloud services such as AWS (S3, Lambda, SageMaker), GCP (BigQuery, Vertex AI), or Azure (Synapse, ML Studio). Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack). Nice to Have: Experience working in Retail, Finance, Healthcare, or E-commerce domains. Exposure to A/B testing, recommendation systems, or NLP applications. Understanding of data privacy regulations (GDPR, CCPA). ",