We are seeking a talented and innovative Data Scientist to join our team and contribute to the development of cutting-edge artificial intelligence solutions
The ideal candidate will have a strong background in machine learning, deep learning, and data science, along with a passion for building intelligent systems that solve complex problems
As a Data Scientist, you will play a crucial role in designing, implementing, and optimizing AI models to enhance our products and services
Eligibility:
Education : Bachelor or master s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Experience: Proven experience as a Data scientist or similar role, with a minimum of 3 years in AI model development.
Programming Skills: Proficiency in programming languages such as Python.
Machine Learning Frameworks: Strong experience with popular machine learning frameworks such as TensorFlow / PyTorch / scikit-learn.
Deep Learning: Expertise in deep learning techniques and frameworks such as LangChain for tasks such as image recognition, natural language processing, and reinforcement learning.
Data Processing: Experience with data preprocessing, feature engineering, and building data pipelines.
Collaboration Skills: Excellent teamwork and communication skills to effectively collaborate with cross-functional teams.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to think creatively to address complex challenges.
Adaptability: Ability to adapt to evolving technologies and business requirements.
Responsibilities:
Model Development: Design and implement machine learning and deep learning models to address specific business challenges and opportunities.
Data Processing: Work with large datasets, clean and preprocess data, and create pipelines for efficient data handling.
Algorithm Selection: Evaluate and select appropriate algorithms and models based on the nature of the problem and available data.
Feature Engineering: Identify and engineer relevant features to improve model performance.
Training and Evaluation: Train, validate, and optimize models for performance, accuracy, and efficiency.
Integration: Collaborate with software engineers to integrate AI models into existing systems and applications.
Continuous Improvement: Stay abreast of the latest advancements in AI and machine learning, and actively seek opportunities to improve existing models.
Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and domain experts, to understand business requirements and goals.
Documentation: Document the AI development process, including model architecture, training procedures, and integration details.
Testing: Conduct thorough testing of AI models to ensure robustness and reliability in real-world scenarios.
Ethical Considerations: Address ethical considerations in AI development, including bias mitigation and fairness in algorithmic decision-making.
If you are passionate about pushing the boundaries of artificial intelligence and want to contribute to groundbreaking projects, we encourage you to apply for this exciting opportunity to shape the future of AI at our organization.
We Offer:
Flexible and fast-paced environment where the product comes first.
Exciting projects and challenges
Opportunities for professional growth and development
A friendly and supportive work environment
The opportunity to make a positive impact on the team every day.
