What are the responsibilities and job description for the Gen AI and Machine Learning Data Scientist position at My3Tech?
Hello All,
*** Greetings from My3tech ***
Role: Gen AI and Machine Learning Data Scientist
Location: Onsite(Sunnyvale, CA)
Duration: Long-term
Client: Capgemini
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.
Qualifications:
- Education: Master’s in data science, Statistics, Computer Science, or a related field.
- Experience: 3 years of experience in data science, analytics, or a related field.
- Technical Skills:
- Proficiency in programming languages such as Python or R.
- Good understanding of statistical principles for ML applications
- Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy.
- Exceptional knowledge of Deep Learning techniques, model architectures, and parameter fine-tuning
- Very good knowledge of GenAI with good understanding of foundation models and transformer architecture
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Experience with SQL and relational databases.
- 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 (Preferred):
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
- Familiarity with version control systems (e.g., Git).
- Experience in genomics
