AI Developer - Remote

Overview

As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and deliver actionable insights. You will collaborate with multi-functional teams to comprehend business needs and provide data-driven solutions that improve decision-making and boost business growth

In Short

• Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights.
• Develop and implement predictive models and algorithms to solve business problems and improve processes.
• Develop visual representations and dashboards to clearly communicate findings and insights to collaborators.
• Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions.
• Clean and preprocess data to ensure accuracy and completeness for analysis.
• Prepare and present reports on data analysis, model performance, and important data to collaborators and management.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective.
• Stay updated with the latest industry trends and advancements in data science and machine learning techniques.

Requirements

• Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is preferred.
• Total 10-12 years of industry experience.
• More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models.
• Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with NLP, NLG, and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
• Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases.
• Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights.
• Strong verbal and written communication skills, capable of explaining complex technical details to non-technical collaborators.

Benefits

• Opportunity to make a difference through the work you do.
• Competitive compensation and benefits programs.
• Comprehensive medical and insurance coverage.
• Support for diversity, equity, and inclusion.
• Work Authorization Sponsorship for foreign nationals.
• Ongoing development opportunities.
• Commitment to creating a global workplace.
• Safe working environment across global network and facilities.
• Work-Life Balance through hybrid work setup.
• Environment where employees can reach their greatest potential.