Solution Consultant
1 week ago
Job Title: Solution Consultant -Industrial Automation (Oil & Gas Domain )
Location:
Hyderabad (Onsite)
Travel:
Occasional travel to Abu Dhabi
Notice Period:
Up to 3 months acceptable
Experience Required:
4–8 years
Position Overview:
We are looking for an experienced
Solution Consultant with Industrial Automation knowledge to support ML applications and Predictive Analytics
to support digital transformation initiatives in the Oil & Gas sector. The ideal candidate will have a strong background in industrial operations, predictive maintenance, and data-driven problem solving using machine learning techniques. This is an
onsite role based in Hyderabad
with
occasional travel to Abu Dhabi
and a flexible
notice period of up to 3 months
.
Key Responsibilities:
- Design and develop
predictive analytics modules
for equipment and asset health monitoring using machine learning approaches. - Work with historical equipment and process data to build models for
anomaly detection
,
failure prediction
, and
performance forecasting
. - Collaborate with operations and maintenance teams to ensure analytics models align with real-world O&G workflows.
- Integrate predictive modules into
existing maintenance and monitoring systems
, ensuring compatibility and data flow. - Support data ingestion and processing from plant systems, historians, or external sources using tools like
SQL
,
SSRS
,
PowerShell
,
APIs
etc. - Develop custom tools and scripts using
C#
,
.NET
, or
Python
for automation and integration needs. - Present findings and recommendations clearly to both technical and non-technical stakeholders.
- Ensure high data quality and governance in line with operational requirements.
Required Skills & Experience:
- 4–8 years of experience
in predictive analytics, industrial data systems, or maintenance analytics. - Strong domain knowledge of Oil & Gas operations
– upstream, midstream, or downstream. - Practical understanding of
maintenance strategies
(e.g., preventive, predictive, condition-based). - Experience working with
machine learning models
for industrial use cases (anomaly detection, forecasting, etc.). - Familiarity with tools such as
AVEVA Predictive Analytics (APA/PRiSM)
or
SmartSignal
(PRiSM experience is
not mandatory
). - Proficiency in
SQL
,
SSRS
,
C#
,
.NET Framework
, and scripting tools like
PowerShell
. - Strong documentation and communication skills, especially when engaging with cross-functional teams.
Education:
Bachelor's degree in one of the following disciplines:
- Mechanical Engineering
- Chemical Engineering
- Instrumentation Engineering
- Or a related technical field
Preferred Qualifications (Bonus):
- Experience integrating analytics models with AVEVA ecosystem or similar platforms.
- Exposure to cloud or edge analytics platforms for industrial applications.
- Experience deploying models in production environments using standard MLOps practices.
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