As a AI Developer at Emerson, you will be responsible for analyzing complex data sets to identify trends, develop predictive models, and provide 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
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In this Role, Your Responsibilities Will Be:
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.
Who You Are:
You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.
For This Role, You Will Need:
Bachelors 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.
Excellent understanding 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
Preferred Qualifications that Set You Apart:
Prior experience in engineering domain would be nice to have
Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
Possession of relevant certification/s in data science from reputed universities specializing in AI.
Familiarity with cloud platforms, Microsoft Azure is preferred
Ability to work in a fast-paced environment and handle various projects simultaneously.
Strong analytical and fixing skills, with the ability to resolve issues related to model performance and infrastructur