Job Description

Job responsibilities:

Qualifications:

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or related field.

• Minimum of 6+ years of experience in IT, with at least 3-4 years in a leadership or managerial role.

• Proven experience in end-to-end project implementation in the field of data science or machine learning.

• Strong expertise in GenAI, Deep Learning, NLP, and Computer Vision techniques and frameworks.

• Proficiency in Python programming language and its data science libraries such as NumPy, Pandas, TensorFlow, and PyTorch.

• Hands-on experience with cloud platforms like Azure/AWS, including data services, virtual machines, and containerization (huge plus)

• Excellent communication skills with the ability to effectively articulate technical concepts to both technical and non-technical stakeholders.

• Strong analytical and problem-solving skills, with a passion for data-driven decision-making and innovation.

 Preferred Skills:

• Experience with big data technologies such as Hadoop, Spark, or Kafka.

• Certification in data science or related fields (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified: Azure AI Engineer Associate). (Plus)

• Publications or contributions to the data science community through research papers, open- source projects, or conference presentations