Senior Data Scientist |Bengaluru|3+Years

• We are seeking a talented and experienced AI/ML Architect to join our dynamic team in Bangalore. As an AI/ML Architect, you will play a crucial role in designing and implementing cutting-edge artificial intelligence and machine learning solutions. You will collaborate with cross-functional teams to understand business requirements, develop scalable models, and architect solutions that leverage the power of AI/ML technologies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 4-8 years of hands-on experience in artificial intelligence and machine learning.
• Proven track record of designing and implementing successful AI/ML solutions.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with popular machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of data engineering principles and practices.
• Excellent problem-solving and communication skills.
• Ability to thrive in a fast-paced and collaborative environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

Solution Design:

• Collaborate with stakeholders to understand business objectives and requirements.
• Design end-to-end AI/ML solutions that align with business goals.
• Create architectural blueprints, ensuring scalability, reliability, and performance.

Model Development:

• Lead the development of machine learning models and algorithms.
• Work closely with data scientists to implement and optimize models.
• Stay updated with the latest advancements in AI/ML technologies.

Data Management:

• Oversee data collection, preprocessing, and feature engineering processes.
• Ensure data quality and integrity for effective model training and deployment.

Technology Stack:

• Evaluate and select appropriate AI/ML frameworks and tools.
• Implement best practices for model deployment, monitoring, and maintenance.

Collaboration:

• Work closely with cross-functional teams, including data scientists, software engineers, and business analysts.
• Provide guidance and support to junior team members.