Data Scientist

Position Overview:

As an AI Engineer, you will be responsible for designing, developing, and implementing cutting edge artificial intelligence solutions to address complex problems for banking domain.

You will collaborate with cross-functional teams to understand business requirements and leverage AI technologies to create innovative solutions.

Job Description:
Design and implement generative AI models, including GANs, VAEs, and transformers, as well as large language models such as GPT, BERT, LLAMA and similar to create high-quality synthetic data and other outputs.
Use cutting edge technologies to create a faster, more capable AI.
Preprocess and analyse large datasets to train and validate AI and LLM models.
Analyse statistics, data, and algorithms for projection accuracy.
Use AI analysis to make strategy recommendations that align with company goals.
Work with a team of machine-learning and data engineers to ensure seamless AI development and integration.
Collaborate with software engineers to integrate AI models into production systems, ensuring scalability, reliability, and performance.
Stay current on AI knowledge, trends, regulations and proactively apply them to enhance existing solutions.
Collect, organize, and present progress with team leadership and stakeholders.
Maintain thorough documentation of models, experiments, and methodologies.

Qualifications:
Proven experience in developing and deploying machine learning models in real-world applications.
Proficiency in programming languages such as Python, Java, or C++, with experience in libraries and frameworks for AI development.
Strong understanding of machine learning algorithms, deep learning architectures, and optimization techniques.
Hands on experience with GANs, VAEs, transformers and LLMs such as GPT, BERT, LLAMA and similar with experience on TensorFlow, PyTorch, Keras, or Apache MXNet.
Familiarity with natural language processing libraries such as NLTK, spaCy, or Transformers.
Experience in computer vision tasks using frameworks like OpenCV, TensorFlow Object Detection API, or PyTorch Vision.
Familiarity with cloud platforms like AWS, GCP, or Azure.
Excellent problem-solving skills and the ability to work effectively in a fast paced, collaborative environment.
Effective communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
Demonstrated ability to manage multiple projects simultaneously and deliver highquality results on time.