| Gen AI and Machine Learning Data Scientist at Sunnyvale, California, USA |
| Email: [email protected] |
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From: Kartik, tek inspiration [email protected] Reply to: [email protected] Job Description - Gen AI and Machine Learning Data Scientist Location: Sunnyvale, CA Local Only Duration: 6+ Months Contract F2F Role Description: Need someone with solid experience with legitimate background. We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, deep learning, and GenAI, with the ability to extract meaningful insights from complex datasets and translate them into actionable strategies that drive business growth. Qualifications: Education: Masters in data science, Statistics, Computer Science, or a related field. Experience: 5+ years of experience in data science, analytics, or a related field. Technical Skills: o Proficiency in programming languages such as Python or R. o Good understanding of statistical principles for ML applications o Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy. o Exceptional knowledge of Deep Learning techniques, model architectures, and parameter fine-tuning o Very good knowledge of GenAI with good understanding of foundation models and transformer architecture o Familiarity with data visualization tools (e.g., Matplotlib, Seaborn). o Experience with SQL and relational databases. o Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to work effectively in a team environment. Additional Skills o Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). o Familiarity with version control systems (e.g., Git). o Experience in genomics Job Responsibilities: Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform strategic business decisions. Model Development: Develop, implement, and validate predictive models and machine learning algorithms to solve various business problems. Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis. Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner. Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to understand their data needs and provide relevant insights. Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendations. Keywords: artificial intelligence machine learning rlang California Gen AI and Machine Learning Data Scientist [email protected] |
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| 04:51 AM 12-Mar-25 |