Big Data Engineer-AI/ML

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Data Modelling, R Programming, Terabyte scale datasets, Data Analysis

Job Description

As a part of the Big Data Analytics/AI-ML team, you will play the lead role in defining and developing a high-performance Big Data ETL data pipe. You will work with domain experts to identify the most efficient way to collect and process batch/time-series data to derive data insight. You will work with Machine Learning/Deep Learning engineers to develop models that can help in Predictive and Prescriptive data analytics.p>
You will also play a critical role in establishing a process of causal inference that can help Chip Design/Verification Teams in making data-driven decisions.p>
What You'll Need

• Knowledge of underlying mathematical foundations of statistics, machine learning, and analytics.
• Experience with exploratory data analysis, statistical analysis, and Hypotheses testing, and model development.
• Fluency in SQL and Spark to write efficient codes at scale with large datasets
• Experience using Python Programming, writing applications that scale with large data sets.
• Experience in building and evaluating machine learning models
• Proven experience of 2+years in the relevant field.
  MS or Bachelors degree in Statistics, Machine Learning, Operations Research, Computer Science or other quantitative fields.

 What You'll Do

• Drive clarity and solve ambiguous, challenging problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to derive data insight and facilitate decisions.
• Develop creative solutions and build prototypes to problems using algorithms based on machine learning, statistics, and optimization
• Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends

 Basic Qualifications

• MS or Bachelors degree in, Statistics, Machine Learning, Operations Research, Computer Science or other quantitative fields. (If M.S./M.Tech. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 4+ years of industry experience required)
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics
• Knowledge of experimental design and analysis
• Experience with exploratory data analysis, statistical analysis, and testing, and model development
• Ability to use a language like Python or R to work efficiently at scale with large data sets
• Proficiency in languages and tools like SQL, Python, and Spark

 Preferred Qualifications

• 4+ years of industry experience working as a data scientist/Engineer or similar
• Experience with causal inference techniques to evaluate the causal relationships with variables
• Experience building machine learning models