DS AIML

Job description

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!