Senior Engineer AI

Pune - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

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:

Bachelors degree in computer science Data Science Statistics or a related field or a masters 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 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.
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.
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.

Our Culture & Commitment to You

At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans a variety of medical insurance plans Employee Assistance Program employee resource groups recognition and much more. Our culture offers flexible time off plans including paid parental leave (maternal and paternal) vacation and holiday leave.

Required Experience:

Senior IC

DescriptionIn 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...

Description

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:

Bachelors degree in computer science Data Science Statistics or a related field or a masters 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 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.
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.
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.

Our Culture & Commitment to You

Required Experience:

Senior IC

Key Skills

APIs
C/C++
Computer Graphics
Go
React
Redux
Node.js
AWS
Library Services
Assembly
GraphQL
High Voltage

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About Company

Emerson

Emerson has refocused its business portfolio to deliver solutions that bring greater value to our customers. About Emerson We concentrate on the most complex, profound challenges facing the world in the process, industrial, commercial and residential markets. Our global talent, best-i ... View more

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