DockerSr Engineer – Artificial Intelligence
Job Summary
As an AI Engineer at Emerson, you will be responsible for analysing complex data sets to
identify trends, develop predictive models, and provide actionable insights. You will work closely
with cross-functional teams to understand business needs and deliver data-driven solutions that
enhance decision-making and drive business growth.
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.
Create visualizations and dashboards to effectively communicate findings and insights to
stakeholders.
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 key metrics to
stakeholders 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.
For This Role, You Will Need:
Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a
master's degree or higher is preferred.
Total 5-7 years of industry experience
More than 3 years of experience in a data science or analytics role, with a strong track
record of building and deploying models.
Proficiency in programming languages such as Python or R, and experience with data
manipulation libraries (e.g., pandas, NumPy).
Excellent understanding of Agentic Frameworks like Microsoft Agent Framework.
Experience with NLP, NLG, and Large Language Models Open Source as well as Cloud
based models.
Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector
databases
Experience with Dockers, Asynchronous Data Orchestrators, environments etc.
Strong analytical and problem-solving skills, with the ability to work with complex data
sets and extract actionable insights.
Excellent verbal and written communication skills, with the ability to present complex
technical information to non-technical stakeholders.
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 manage multiple projects simultaneously.
Strong analytical and troubleshooting skills, with the ability to resolve issues related to
model performance and infrastructure.
Shubham Vishwakarma
Full Stack Developer - Averlon
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