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Thothit
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ROLE- Machine Learning Data ScientistVISA- USC/GC onlyLocation--Princeton NJ (local or nearby) HybridLinkedIn must Key Responsibilities: Please share only local and USC GC CANDIDATE1. Data Analysis and Preprocessing: - Collect, clean, and preprocess data from various sources to create robust datasets for model development. - Perform exploratory data analysis (EDA) to identify trends, patterns, and potential issues in the data. 2. Feature Engineering: - Extract and engineer relevant features from raw data to improve the performance of machine learning models. 3. Model Development: - Develop and implement machine learning algorithms and models that solve specific business problems. - Select appropriate algorithms and techniques based on the nature of the data and the problem. 4. Model Training and Evaluation: - Train and fine-tune machine learning models using appropriate tools and frameworks. - Evaluate model performance using appropriate metrics and iterate on models to achieve desired outcomes. 5. Deployment and Integration: - Deploy machine learning models into production systems and ensure their seamless integration with existing infrastructure. - Monitor and maintain deployed models, making necessary updates as data and business requirements change. 6. Collaboration and Communication: - Work closely with cross-functional teams, including software engineers, domain experts, and stakeholders, to understand requirements and deliver solutions. - Clearly communicate complex technical concepts and findings to both technical and non-technical audiences. 7. Research and Innovation: - Stay up to date with the latest advancements in machine learning and data science, and apply innovative techniques to solve challenging problems.Qualifications:- A bachelor's/master's/Ph.D. degree in a related field (e.g., Computer Science, Statistics, Data Science).- Strong programming skills in languages such as Python, R, or similar languages commonly used in data science.- Solid understanding of machine learning algorithms, techniques, and libraries (e.g., scikit-learn, TensorFlow, PyTorch).- Proficiency in data manipulation, analysis, and visualization using libraries like pandas, NumPy, and Matplotlib/Seaborn.- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.- Familiarity with version control systems (e.g., Git) and collaborative coding practices.- Excellent problem-solving skills and the ability to translate business needs into technical solutions.- Strong communication skills and the ability to work effectively in a team environment.EMAIL ID- [email protected]