Advanced Cloud Developer Jobs in Pune at Honeywell

Last Updated: Aug 17, 2021 05:10 IST


Company Name
Job title
Advanced Cloud Developer
12-15 Years
Not Mentioned

Job Profile

Driving Infinite Possibilities Within A Diversified, Global Organization
Company Summary
Honeywell International Inc. is a Fortune 100 industrial technology company that makes a variety of commercial and consumer solutions, engineering services and aerospace systems for a wide variety of customers, from private consumers to major corporations and governments. The company operates four business units, known as Strategic Business Units - Honeywell Aerospace, Honeywell Building Technologies (HBT), Safety and Productivity Solutions (SPS), and Honeywell Performance Materials and Technologies.

We are building a smarter, safer and more sustainable world. That's the power of Connected. That's the power of Honeywell. Our company invents and manufactures technologies that address some of the most critical challenges around energy, safety, security, productivity and global urbanization.

We are uniquely positioned to blend physical products with software to support connected systems that improve buildings, factories, utilities and aircraft and that enable a safer, more comfortable and more productive world.

Our solutions enhance the quality of life of people around the globe and create new markets and even new industries.

Honeywell Connected Industrial (HCI) Line of business is a leading provider of software offerings in the Process Industry which includes Oil and Gas, Refining, Petrochemicals, Paper, MMM industry. These offerings drive measurable business results for customers. The business is focused on outcome-based software solutions and engineering services, converting data into actions for the customer which enables greater reliability, safety and uptime & profitability. These solutions uniquely combine domain expertise and industry proven technology.

Global Engineering Services (GES)
Global Engineering Services is the key largescale engineering, productivity, new growth initiative and process standardization enabler for Honeywell Process Solution (HPS). With the largest skilled engineering pool available to support Process Automation, After marketing services, Honeywell Connected Plant and Cyber. GES helps to win GMPs and executes them, does design, engineer and execute all the projects based out of major engineering centers at India, China, Bucharest and Uzbekistan, helps all the Line Of Business (LOBs) to carry out engineering and process standardization to improve the engineering quality and productivity and also supports all the LOBs in supporting migrations and long-term service contracts.


The Lead Data Scientist will be responsible for design Machine learning models from multiple source application databases. Advanced knowledge in model evaluation, performance and tuning, scalability of scientific techniques and establishing decision strategies for the Refining, Oil and Gas, Chemical, Power and Mining Industries

Key Responsibilities

Lead the technical delivery of the project right from design to closure from a functional and technical point of view. That is, act as a trusted adviser to the customer on technical matters, ensure designs are incompliance with specifications.
Create Design documents- FDS, DDS, test procedures and training manuals.
Lead customer meetings including KOM, design workshops, trainings, and testing.
Follow the Company defined standard practices and methods and update document for improvement
Manage customer expectation, define scope and ensure delivery within budget and timelines.
Plan the engineering activities and ensure progress as per plan.
Support to Proposal and Estimation team
Address customer issues on time by escalating to the right internal stakeholders
Mentor junior data scientist.YOU MUST HAVE

Relevant experience designing and implementing statistical analysis using tools like R, Python, Azure machine Learning studio
Write algorithms to extract information from a large data set
Should able to develop model for customer use cases and improve continuously by applying different techniques
Excellent understanding of machine learning algorithms such as Logistic Regression, Decision Tree, KNN,K- Means, SVM, Random Forest.
Machine Learning techniques like Clustering, Anomaly detection, Classification, Regression
Understanding and experience in the field of AI, Deep Learning and related technologies along with predictive modeling, and pattern recognition
Write complex SQL queries and able to write stored procedures
Experience using and adapting to new technologies
Demonstrated ability to think strategically about business process and technical challenges

We Value

Excellent leadership skills with focus on meeting customer commitments on time with quality.
Technical leadership and coaching to Engineers working in the project
Support Project Manager on the commercial angle with focus on budget and change order opportunities
Strong problem-solving mentality with a will to deliver results
Experience & proven ability in analyzing / solutions for complex projects/issues
Ability to work in fast-paced dynamic environment with minimal supervision
Manage customer expectation by understanding and appreciating the cultural differences
Excellent presentation skills


BE/B.Tech/M.Tech in Mechanical, Chemical, Instrumentation.
Experience: 12+ years with minimum 3 years of experience in Data Science

Travel: 10 to 20% of time

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Key skills
Python, Regression, Algorithms, Data Science, Deep Learning, Excellent Presentation Skills, Predictive Modeling, Pattern Recognition, design workshops , Machine Learning Algorithms, Statistical Analysis, Testing, Designs, Trainings, Stored Procedures, Sql Queries, Random Forest, Decision Tree, Presentation, Machine Learning, Supervision, anomaly detection, Logistic Regression, Technical Leadership, Leadership
Electronics Manufacturing
Driving Infinite Possibilities Within A Diversified, Global Organization Company Summary Honeywell International Inc. is a Fortune 100 industrial technology company that makes a variety of commercial and consumer solutions, engineering services and a
Last Date

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