59 Job openings found

Qualification Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.  Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.   Responsibilities   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...

Data Engineer   Job Description: - Having experience in Analysis, Design, Development, Testing, Customisation, Bug fixes, Enhancement, Support and Implementation using Python, spark programming. - Worked on AWS environments such as lambda, server-less applications, EMR, Athena, Glue, IAM policies, roles, S3,CFT and Ec2. - Developed Python and Pyspark programs for data analysis. ...

Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...

Job Summary: The job holder will be a key member in the Actuarial – Regulatory Reporting and Reserving team, involved in end to end reserve estimation, IFRS 17 reporting and other reporting to internal and external stakeholders.  Key Responsibilities: IFRS17 reporting and Group reporting activities. Assist in IFRS 17 system implementation Prepare, analyse, and communicate ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

Key Roles & Responsibilities: Acts as a liaison between business partners and technical team. Responsible for Analysis & Documentation of Business/Technical requirement on delivery assignments Creation of artifacts such as Illustration input, output requirements, Test strategy, Validation rules, Unit Test cases etc. Assist Technology Solutions teams in documenting scope, defining gaps and updating implementation ...

Job Title: GEN AI Project Duration- 6 months  Exp- 4-7 yrs Location : Bangalore (Hybrid)   Required Skills & Qualifications: Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies. Proficiency with Azure Databricks. Strong analytical, problem-solving, and stakeholder communication skills. Solid understanding of data governance frameworks, compliance, and internal controls. Experience in data quality rule development, profiling, and implementation. Experience with ...

Key Responsibilities:? Design, construct, install, test, and maintain highly scalable and robust data managementsystems.? Understand and apply data warehousing concepts to design and implement robust datawarehouse tables in line with business requirements.? Build complex ETL/ELT processes for large-scale data migration and transformation acrossplatforms and Enterprise systems such as: Oracle ERP, ...

    Notice period  Immediate to 15 days Shift  1 pm to 9 PM Mode of Work  Hybrid Mandatory Skill combination: Mandatory skill Kafka, Multiple Kafka connector, Streaming Data processing. In some cases, Databricks and PySpark knowledge is required. JD: Hands-on experience working on Kafka connect using schema registry in a very high-volume environment. Complete understanding of Kafka config properties (acks, timeouts, buffering, ...

Please find the details below   Position : Data Scientist Location : Bangalore Experience requirement : 7-8 Years Joining Date : Immediate to 15 days      Job Description   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.  Research and stay ...