
AI Machine Learning Specialist
1 week ago
We are seeking an exceptional Data Science Solutions Architect to join our team. As a key member of our data science organization, you will be responsible for designing, developing, and deploying state-of-the-art data science solutions in areas such as GenAI, Computer Vision, RCA, EDA, NLP.
The ideal candidate will have expertise in leading data science projects from conception to deployment, including data collection, preprocessing, model development, and performance evaluation. They will also collaborate with cross-functional teams to integrate AI models into our products and services.
This is a unique opportunity to leverage your skills and experience in machine learning and deep learning to drive business growth and innovation.
Required Skills and Qualifications- Cloud Computing: Experience with AWS, Azure, GCP.
- Programming Skills: Strong proficiency in Python, including experience with ML frameworks like TensorFlow or PyTorch.
- DevOps: Expertise in CD pipelines, Infrastructure as Code, Terraform, Bicep.
- Big Data: Knowledge of Hadoop, Spark, Kafka, Snowflake.
- Machine Learning: Generative Models, Deep Learning, Natural Language Processing.
We offer a dynamic and supportive work environment that fosters collaboration and creativity. Our team is passionate about leveraging AI and machine learning to drive business success, and we are looking for someone who shares our enthusiasm and commitment.
We believe in providing opportunities for growth and development, and we offer a range of training and professional development programs to help you achieve your career goals.
About the RoleThis role is ideal for a highly motivated and experienced data scientist who is passionate about driving business growth through innovative data science solutions.
You will work closely with our cross-functional teams to design, develop, and deploy cutting-edge data science solutions that meet our business objectives.
We are looking for someone who is able to think critically, solve complex problems, and communicate effectively with both technical and non-technical stakeholders.
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