Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects.
Roles and Responsibilities
Design, implement, and optimize machine learning algorithms using R and Python.
Work on developing predictive models and decision-making systems.
Conduct exploratory data analysis to understand data patterns and insights.
Collaborate with data engineers to ensure the availability and quality of data for model training.
Deploy machine learning models into production environments.
Collaborate with cross-functional teams to integrate models into existing systems.
Continuously optimize and improve the performance of machine learning models.
Stay updated on the latest advancements in ML algorithms and technologies.
Work closely with software engineers to ensure seamless integration of AI/ML solutions.
Collaborate with clients to understand their business requirements and customize solutions accordingly.
Technical Skills
Excellent programming skills with the ability to implement complex algorithms in Python or R.
Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models.
Strong experience of minimum 3 years in developing and implementing machine learning algorithms.
Experience with model deployment and integration into production systems.
Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras.
Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.).
Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance.
Ability to collaborate effectively with cross-functional teams.
Previous experience working on real-world AI/ML projects.
Should be focused on linear algebra, machine learning, and statistics & probability are preferred.
Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models.
Strong problem-solving and critical-thinking skills.
Excellent communication and collaboration skills.
Join our team and be part of a fast-paced and innovative work environment where your expertise will make a significant impact on our organization’s growth and success.