Data Scientist - Machine Learning

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Location :

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Experience Required :

About The Role

Key Responsibilities

Machine Learning & AI Development :

• Design, develop, and deploy ML models using Vertex AI on GCP.
• Implement end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, and deployment.
• Optimize model performance, scalability, and reliability for production use.
  

Generative AI & Agent-based Solutions

• Work with Google Agent Space to build, configure, and deploy conversational AI and intelligent agent systems.
• Integrate AI-driven agents into enterprise workflows for automation and enhanced user experiences.
  

Data Engineering & Processing

• Collaborate with data engineering teams to acquire, clean, and prepare large datasets.
• Utilize Databricks (if applicable) for distributed data processing, advanced analytics, and machine learning workloads.
  

Programming & Scripting

• Write efficient, reusable, and well-documented Python code for data manipulation, model training, and deployment.
• Build APIs and automation scripts to streamline data science workflows.
  

Collaboration & Business Impact

• Work closely with product managers, business analysts, and stakeholders to translate business requirements into analytical solutions.
• Present findings, insights, and recommendations to both technical and non-technical audiences.
  

Continuous Improvement

• Stay updated with the latest advancements in AI/ML, cloud platforms, and data technologies.
• Proactively suggest innovative approaches and tools to improve processes and outcomes.
  

Required Skills & Qualifications

Technical Expertise :

• Strong hands-on experience with GCP Vertex AI for ML model training, deployment, and monitoring.
• Working knowledge of Google Agent Space for AI-driven agent development (secondary but valuable).
• Proficient in Python for data science and ML applications.
• Good understanding of distributed computing and data platforms, with Databricks experience as a plus.
  

Core Competencies

• Strong understanding of supervised, unsupervised, and deep learning techniques.
• Experience with NLP, conversational AI, or generative AI applications is preferred.
• Proficiency in data analysis, visualization, and reporting.
• Understanding of MLOps practices and tools.
  

Soft Skills

• Strong problem-solving abilities and analytical thinking.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a hybrid work environment.
  

Educational Background

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
• Relevant certifications in GCP, Vertex AI, or Databricks are an added advantage.
  

Why Join Us?

• Opportunity to work on cutting-edge AI/ML projects with a global impact.
• Collaborative work culture with talented data scientists and AI engineers.
• Competitive compensation package with performance incentives.
• Hybrid work model offering flexibility and work-life balance.