We are seeking a talented and motivated Data Engineer to join our founding team in India. This role is critical in shaping the data foundation of the Axyo AI platform and our enterprise applications. As an early member of our India team, you will work closely with the VP of Data Science, ML Engineers, and DevOps Engineers to design and implement robust data pipelines, scalable infrastructure, and high-quality data systems that power our AI products. Responsibilities Data Infrastructure & Pipelines Design, develop, and maintain scalable, eff icient, and reliable automated ETL pipelines. Integrate diverse structured and unstructured data sources into unifi ed data models. Implement data quality checks, monitoring, and validation frameworks to ensure trustworthy datasets. Build streaming and batch data pipelines to serve both real-time and analytical use cases. Contribute to customer implementations by building data ingestion, transformation, and integration workfl ows. Technical Excellence & Best Practices Implement and advocate for engineering best practices in data architecture, testing, versioning, and CI/CD. Develop and manage APIs for data ingestion, transformation, and integration workfl ows. Ensure adherence to data governance, privacy, and security standards across all pipelines. Monitor and optimize performance, scalability, and cost-eff iciency of data infrastructure. Participate in code reviews and architecture discussions to raise the bar on technical quality. Requirements Bachelors or Master’s degree in Computer Science, Data Engineering, or a related technical fi eld. 2–5 years of hands-on experience in data engineering, preferably in fast-paced product or platform teams. Strong programming skills in Python (knowledge of SQL, SQLAlchemy, PySpark). Experience with AWS cloud services (S3, Sagemaker, SQS, Lambda, Glue, EMR, RDS). Experience with data pipeline frameworks such as Airfl ow, AWS Glue, Step Functions, Lambda-based pipelines (experience with Prefect/Dagster a plus). API development and management with Python (e.g., FastAPI, Flask, Django REST Framework). Profi ciency with relational and NoSQL databases (e.g., PostgreSQL, MySQL, DynamoDB). Hands-on experience with big data and streaming technologies (e.g., Spark, Kafka). Excellent problem-
Job Description We are seeking a talented and motivated ML Engineer to join our founding team in India. This role is central to building AI solutions on the Axyo platform that solve high-value problems for enterprise clients. As an early member of our India team, you will work closely with the VP of Data Science, Data Engineers, and Product Managers to design, train, and deploy machine learning models that power Axyo AI Apps. Responsibilities Applied Machine Learning & Modeling Design, train, and evaluate predictive, classifi cation, forecasting, and optimization models. Build and experiment with ML pipelines across traditional statistical methods and modern ML/deep learning approaches. Apply feature engineering, model selection, and hyperparameter tuning to optimize performance. Translate business problems into well-defi ned ML formulations and deliver measurable outcomes. Technical Excellence & Best Practices Implement and document best practices for experimentation, reproducibility, and version control (MLfl ow, DVC, etc.). Partner with DevOps/MLOps to deploy models into production, ensuring scalability, robustness, and monitoring. Develop reusable model components, templates, and best practices that strengthen Axyos modular platform. Support client-facing proof-of-concept (POC) projects, showcasing the value of Axyo AI in solving real business challenges. Stay current with the latest research and technologies in ML/AI, and drive their practical application at Axyo. Requirements Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related technical fi eld. 5+ years of hands-on experience in applied machine learning or data science. Strong programming skills in Python with experience using ML/AI libraries and frameworks (e.g., scikit-learn, XGBoost, Statsmodels, PyTorch, TensorFlow). Solid understanding of statistics, probability, and machine learning algorithms (regression, classifi cation, clustering, forecasting, NLP, etc.). Experience with AWS cloud services for data and ML (e.g., S3, SageMaker, Lambda, SQS, CloudWatch, SNS, EMR, Airfl ow, AWS Glue). Familiarity with experiment design, evaluation metrics, and error analysis. Knowledge of MLOps practices (model versioning, monitoring, retraining). Strong problem-solving skills, curiosity, and ability to communicate complex results in a simple, business-friendly manner.
Job Description We are seeking a talented and motivated ML Engineer to join our founding team in India. This role is central to building AI solutions on the Axyo platform that solve high-value problems for enterprise clients. As an early member of our India team, you will work closely with the VP of Data Science, Data Engineers, and Product Managers to design, train, and deploy machine learning models that power Axyo AI Apps. Responsibilities Applied Machine Learning & Modeling Design, train, and evaluate predictive, classifi cation, forecasting, and optimization models. Build and experiment with ML pipelines across traditional statistical methods and modern ML/deep learning approaches. Apply feature engineering, model selection, and hyperparameter tuning to optimize performance. Translate business problems into well-defi ned ML formulations and deliver measurable outcomes. Technical Excellence & Best Practices Implement and document best practices for experimentation, reproducibility, and version control (MLfl ow, DVC, etc.). Partner with DevOps/MLOps to deploy models into production, ensuring scalability, robustness, and monitoring. Develop reusable model components, templates, and best practices that strengthen Axyos modular platform. Support client-facing proof-of-concept (POC) projects, showcasing the value of Axyo AI in solving real business challenges. Stay current with the latest research and technologies in ML/AI, and drive their practical application at Axyo. Requirements Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related technical fi eld. 2–5 years of hands-on experience in applied machine learning or data science. Strong programming skills in Python with experience using ML/AI libraries and frameworks (e.g., scikit-learn, XGBoost, Statsmodels, PyTorch, TensorFlow). Solid understanding of statistics, probability, and machine learning algorithms (regression, classifi cation, clustering, forecasting, NLP, etc.). Experience with AWS cloud services for data and ML (e.g., S3, SageMaker, Lambda, SQS, CloudWatch, SNS, EMR, Airfl ow, AWS Glue). Familiarity with experiment design, evaluation metrics, and error analysis. Knowledge of MLOps practices (model versioning, monitoring, retraining). Strong problem-solving skills, curiosity, and ability to communicate complex results in a simple, business-friendly manner.