Job Title :Data Science Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale. Key Responsibilities. Design and develop machine learning models for various business problems. Implement data preprocessing, feature engineering, and model training in Python and Databricks. Work on model deployment, monitoring, and scaling in cloud or on-premise environments. Develop and optimize data pipelines to support model building and execution. Collaborate with cross-functional teams to ensure model alignment with business needs. Ensure the scalability, performance, and reliability of deployed models. Implement MLOps practices for automated testing, continuous integration, and model versioning. Monitor model performance in production and refine models as needed. Requirements. 6+ years of experience in Data Science, Machine Learning, and Model Deployment. Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data pipeline development and cloud platforms. Knowledge of MLOps practices for scalable and automated model deployment. Strong SQL skills and experience working with large datasets. Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker). Ability to work in a UK shift and collaborate with global teams. Job Type :Full-time. Schedule :UK shift. Application Question(s). Please provide your current CTC, expected CTC and Notice period along with the application. The applications without this information may not be considered. Education :Bachelor's (Required). Experience :Python:4 years (Required). Databricks :3 years (Required). Work Location :Remote. (ref:hirist.tech). Show more Show less

Job Title :Data Science Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for a Data Science Engineer with 6+ years of experience in developing, deploying, and scaling machine learning models in production environments. This hybrid role combines expertise in data science and machine learning engineering to deliver impactful data-driven solutions at scale. Key Responsibilities. Design and develop machine learning models for various business problems. Implement data preprocessing, feature engineering, and model training in Python and Databricks. Work on model deployment, monitoring, and scaling in cloud or on-premise environments. Develop and optimize data pipelines to support model building and execution. Collaborate with cross-functional teams to ensure model alignment with business needs. Ensure the scalability, performance, and reliability of deployed models. Implement MLOps practices for automated testing, continuous integration, and model versioning. Monitor model performance in production and refine models as needed. Requirements. 6+ years of experience in Data Science, Machine Learning, and Model Deployment. Strong expertise in Python, Databricks, and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data pipeline development and cloud platforms. Knowledge of MLOps practices for scalable and automated model deployment. Strong SQL skills and experience working with large datasets. Familiarity with version control systems (e.g., Git) and containerization (e.g., Docker). Ability to work in a UK shift and collaborate with global teams. Job Type:4 years (Required). Databricks:3 years (Required). Work Location:Remote. (ref:hirist.tech). Show more Show less

Job Title :ETL Developer / Data Engineer. Location :Remote (India, Ahmedabad Preferred). Shift :UK Shift. We are looking for an experienced ETL Developer / Data Engineer with 6+ years of experience in Informatica PowerCenter and DBT to design, develop, and optimize data pipelines for large-scale data processing and analytics. Key Responsibilities. Develop, maintain, and optimize ETL workflows using Informatica PowerCenter. Implement data transformations and modeling using DBT. Write and optimize SQL queries for data extraction and transformation. Ensure data quality, validation, and performance tuning of ETL processes. Collaborate with cross-functional teams to understand data requirements and provide solutions. Monitor, troubleshoot, and enhance ETL performance for efficiency and :. 6+ years of experience in ETL development with Informatica PowerCenter. Hands-on experience with DBT for data transformation. Strong expertise in SQL and query optimization. Experience in data modeling and ETL performance tuning. Ability to work in a UK shift and collaborate with global teams. Job Type:Full-time. Schedule. UK shift :. Education. Bachelor's (Required). Experience. Informatica PowerCenter :4 years (Required). DBT (Data Build Tool) :3 years (Required). Work Location :Remote. (ref:hirist.tech). Show more Show less

Overview. We are seeking a skilled Data Engineer with 4+ years of experience to join our dynamic team at Evoort. The ideal candidate will have expertise in SQL, Python, Snowflake, Azure Services, and Databricks, with a strong ability to work with large datasets and optimize data pipelines. Responsibilities. Design, develop, and maintain scalable data pipelines and ETL processes to support business and analytics needs. Work extensively with SQL and Python to process, transform, and manage structured and unstructured data. Utilize Snowflake and Azure Services to build efficient, high-performance data models and workflows. Develop and optimize data solutions using Databricks, ensuring smooth data integration and transformation. Collaborate with cross-functional teams, including Data Analysts and Business Stakeholders, to ensure seamless data accessibility. Monitor data pipelines for performance, reliability, and cost optimization. Stay up to date with emerging trends in cloud-based data engineering, analytics, and big data technologies. Requirements. 4+ years of hands-on experience as a Data Engineer. Strong proficiency in SQL, Python, and Snowflake for data processing and transformation. Experience working with Microsoft Azure Services for cloud-based data solutions. Expertise in Databricks for data engineering and analytics. Ability to work with large-scale datasets and optimize ETL/ELT pipelines. Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment. (ref:hirist.tech). Show more Show less