DS AIML

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description Role is for an AI/ML Engineer role in AI/ML forecasting platform. Build and maintain data ingestion, transformation, and feature engineering pipelines to support model training and inference Build and Maintain systems to power AI/ML model experimentation, testing, and deployment phases. Implement & manage Orchestration systems for AI/ML models & Data Pipelines, Optimize models & pipelines. Collaborating with Data Scientists to build the data preprocessing, feature engineering & post processing jobs to ensure that the data used for training the models is of high quality & ready. Collaborating with the Business and Product teams to deliver analytics and reports. Supports the implementation of security and compliance measures within the AI/ML development process, aligning with company policies and industry regulations. Keeps relevant with the latest technologies and frameworks in AI, suggesting improvements and updates to existing systems Skills Experience with Data engineering & building Data/ML pipelines for AI/ML Models & business analytics & insights. Experience in applications powered by AI/ML with large dataset Experience working with ML Operations tools . Hands-on experience & proficiency in building robust, reliable & scalable Data/ML pipelines for Analytics & AI/ML systems, working with large sets of structured and unstructured data from disparate sources MLOps tools and frameworks such as MLflow, Kubeflow or Vertex AI Foundational understanding of ML models Strong understanding of cloud platforms (AWS, Azure, or GCP) Experience managing model registry and implementing versioning best practices. Model Serving Frameworks SQL, Python, Spark, PySpark Big Data systems - Hadoop Ecosystem (HDFS, Hive, MapReduce) or Cloud Analytics database like Druid, Data visualisation/exploration tools like Superset. CI/CD, GIT Apache Airflow, Cloud Composer GCP cloud experience, Big Query Experience in retail forecasting or other business prediction models/time series forecasting Notes product recommendation to help assortment on retail. Mid-level, CPG domain experience, Intermediate knowledge of common DS algorithms (unsupervised approaches like clustering, regression methods, optimization) - understanding of where these different approaches are applicable and how they might fit together Conceptual understanding of the importance of code quality and standards Ability to effectively frame and propose a solution to a problem end to end given a use case or simple business problem statement Ability to design and execute scientific experiments to answer specific technical questions Understanding of basic linear algebra/matrix theory Understanding of basic code performance considerations (e.g., understanding big-O) Understanding of basic probability & statistics theory If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries India: HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai This inbox does not process resume submissions. All applications must be made through posted job openings Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!