Data Scientist - Machine Learning

Job Title : Data Scientist

Location : Bangalore / Hyderabad (Hybrid)

Employment Type : Full Time

Experience Required : 7 - 12 Years

About The Role

We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at techizHub. In this role, you will leverage cutting-edge tools, cloud platforms, and AI technologies to design, develop, and deploy advanced analytics and machine learning solutions. The ideal candidate will have hands-on expertise in Google Cloud Platform (GCP) Vertex AI, Python, and experience working with large-scale data environments. Exposure to Databricks and Google Agent Space will be a strong advantage.

This is an exciting opportunity for someone who thrives in an innovative environment, enjoys solving complex problems, and is passionate about delivering measurable business value through data science.

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.
  
  

(ref:hirist.tech)