Data Scientist

Job Description:
AI/ML Developer - Python Programming and Data Science
We are seeking a highly skilled and motivated AI/ML Developer with expertise in Python
Programming and Data Science to join our team. As an AI/ML Developer, you will be
responsible for developing and implementing cutting-edge AI and Machine Learning solutions.
Your knowledge and experience in Deep Learning, Neural Networks, Model Training,
TensorFlow, PyTorch, Generative AI, and Natural Language Processing (NLP) will be crucial in
driving our projects forward.
Responsibilities:
- Design, develop, and deploy AI and Machine Learning models using Python and related
technologies.
- Work on projects involving Deep Learning and Neural Networks, utilizing frameworks
such as TensorFlow and PyTorch.
- Collaborate with cross-functional teams to identify and understand business
requirements and translate them into technical solutions.
- Train and fine-tune models using large datasets and apply advanced techniques to
improve performance and accuracy.
- Develop and optimize algorithms to process and analyze complex data sets.
- Implement Natural Language Processing techniques like text classification, sentiment
analysis, and language generation tasks whenever required
- Keep up to date with the latest advancements and trends in AI, Machine Learning, and
Data Science fields, and apply that knowledge to improve existing models and develop new
solutions.
Requirements:
- Bachelor's degree in computer science, Data Science, or a related field.
- Solid experience working as an AI/ML Developer, with a strong focus on Python
programming and Data Science.
- Strong understanding of Deep Learning concepts, Neural Networks, and their practical
applications.
- Proficiency in working with popular Deep Learning frameworks such as TensorFlow and
PyTorch.
- Hands-on experience in model training, optimization, and evaluation.
- Familiarity with Generative AI techniques, including GANs and variational autoencoders,
is a plus.
- Expertise in Natural Language Processing (NLP) techniques and libraries for text
analysis and processing.
- Strong problem-solving and analytical skills, with the ability to translate business
requirements into technical solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a
team environment.
- Strong attention to detail and a passion for delivering high-quality work.