SUMMARY OF POSITION

We are seeking a highly skilled Data Scientist with expertise in Machine Learning, AI, and Generative AI to lead end-to-end AI/ML projects on cloud platforms. The ideal candidate must have hands-on experience with Azure AI/ML services, including building, deploying, and optimizing machine learning models, while executing customer projects and driving AI-driven innovation for business solutions.

• BE, ME/MTech, MCA, MSC, MBA or Relevant Degree-level education or equivalent industry experience

• 6-8 years of experience in Data Science, Machine Learning, and statistical analysis, with a proven track record of delivering AI/ML solutions.
• Hands-on experience with Azure AI/ML services and cloud-based model deployment.

PREFERRED SKILLS

1. AI/ML Model Development & Deployment:
• Design, build, and deploy Machine Learning and Generative AI models on Azure Cloud and other platforms.
• Utilize LLMs, deep learning, NLP, and reinforcement learning to develop AI-driven solutions.
• Optimize and fine-tune models for scalability, efficiency, and real-world applications.
2. Data Analysis & Feature Engineering:
• Process, clean, and analyze large datasets to extract meaningful insights.
• Develop and apply advanced statistical and machine learning techniques for predictive modeling.
• Engineer and optimize features for AI/ML models, improving accuracy and performance.
3. Generative AI & Emerging Technologies:
• Work on LLMs, transformers, and multimodal AI models for business applications.
• Experiment with prompt engineering, fine-tuning, and custom AI model training.
• Stay updated with state-of-the-art AI research and implement best practices.

1. Strong proficiency in using Azure Cloud services for data science and analytics.

1. Collaboration & Communication:
• Work closely with cross-functional teams to integrate AI/ML solutions into business processes.
• Effectively communicate findings and insights to technical and non-technical stakeholders.
• Participate in internal and external project meetings, knowledge-sharing sessions, and AI strategy discussions.

Must Haves

• Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Hugging Face).
• Hands-on experience with Azure AI/ML, Databricks, Synapse Analytics, and cloud-based model deployment.
• Experience in NLP, deep learning, and Generative AI (LLMs, transformers, GANs, VAEs).
• Expertise in data visualization, storytelling, and dashboarding for AI insights.
• Strong analytical and problem-solving skills with real-world AI applications.

Nice-to-Haves

• Experience with big data technologies (Hadoop, Spark).
• Azure AI/ML certifications.
• Exposure to multi-cloud AI deployment (AWS/GCP).
• Familiarity with AutoML, Federated Learning, and Edge AI.

About Columbus:

Columbus is a global IT services and consulting corporation with more than 2,200 employees serving our customers worldwide. We bring digital transformation into your business and position you to thrive far into the future. We offer a comprehensive solution portfolio with deep industry knowledge, extensive technology expertise and profound customer insight. We have proven this through 29 years of experience serving more than 5,000 customers worldwide.