Develop advanced machine learning and deep learning models to solve business challenges. Work on predictive analytics projects, optimize models, collaborate with stakeholders and utilize GCP tools including Vertex AI and BigQuery. Support healthcare and insurance domain analytics initiatives.

Build AI-powered applications using Python and modern AI frameworks. Develop APIs, integrate large language models, optimize prompts, manage vector databases, and support intelligent automation solutions.

Develop full-stack web applications using Python and modern frontend technologies. Create APIs, integrate third-party services, implement business requirements, and ensure application performance and security.

Location: Pune / Bengaluru (Hybrid) Experience: 6 Years Employment Type: Full-Time About the Role We are seeking an experienced Data Analyst with strong expertise in Python, PySpark, and SQL to support large-scale data analytics initiatives within the Banking, Financial Services, and Insurance (BFSI) domain. The ideal candidate will possess strong analytical capabilities, hands-on experience working with complex datasets, and the ability to translate business requirements into actionable ins...

Hiring: GCP Data Engineer (FTE) Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata Employment Type: Full-Time Notice Period - Immediate Joiner ( Serving Notice Period ) Work Mode - Hybrid We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions. Required Skills: v GCP Data Engineering Experience v BigQuery v SQL & Python v PySpark / Apache Spark v Apache Beam / Dataflow v ETL / ELT Pipeline Development v Airflow / Cloud Composer R...

Strong Data Scientist / AI Engineer / Generative AI Engineer profile. Mandatory (Experience 1) - Must have 3 years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development. Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support. Mandatory (Experience 3) - Must have experience working with Machine Lea.

Develop recommendation systems and machine learning solutions in production environments. Design, deploy, monitor, and optimize ML models, support ETL pipelines, data warehousing, feature engineering, and cloud-based analytics. Collaborate with engineering teams to build scalable AI-driven systems and enhance recommendation accuracy and business outcomes.

Develop and maintain scalable web applications using React frontend technologies and Python backend services. Design RESTful APIs, manage SQL databases, deploy applications on Google Cloud Platform, implement CI/CD pipelines, conduct testing activities, process and analyze data using Pandas, and collaborate with design teams for UI/UX implementation. Ensure high-quality software delivery and cloud-based scalability.

About Position: We are looking for a skilled Data Engineer (Palantir Foundry) who can design, build, and optimize scalable data pipelines and data products on the Palantir Foundry platform. The ideal candidate has strong hands-on Foundry experience (Pipelines, Transforms, Code Repos), solid Python/PySpark skills, and strong SQL for complex transformations. Role: Data Engineer Location: Pune / Gurgaon Experience: 4 to 7 years Job Type: Full Time Employment What You'll Do: Build and maintain end-.

Role - GCP Data Engineer Location - Pune/Hyderabad Skills- GCP, Big Query, Airflow, SQL Mandatory Google Cloud Big Query Scripting Skills or Cloud SQL Mandatory to have knowledge on any ETL Tool ONLY amongst (Talend, Datastage, Informatica ISS (Cloud version), Data Fusion, Data Flow, Data Proc) Mandatory SQL PL/SQL Scripting Experience Mandatory Linux/Unix Skills. Expert in Python, Data Flow, PubSub, Big Query , CICD Must have good Experience/knowledge on GCP components like GCS , BigQuery, Clo.