Field Assistant — Asset Verification
Field Assistant — Asset Verification, Washington
View Job DescriptionRequirements:
Requirements | B.E Mechanical 5+ years of experience with demonstrable experience in Process industry (oil & gas) piping design |
Proficient in AutoCAD plant 3D | |
Ability to read P&ID & CAESAR pipe stress report | |
Excellent interpersonal skills and ability to operate within a multicultural environment | |
Excellent documentation & presentation skills | |
Should work from client office - San Dimas California |
Role & Responsibilities:
Responsibilities | Work co-ordination between onsite & offshore (India) team |
Ability to understand client scope & convert into details SOW/ estimation | |
Ability or facilitating in resolving offshore team’s queries, RFI | |
Capable of updating minor corrections/comments in AutoCAD plant 3D | |
Perform product (offshore delivery) QC |
Field Assistant — Asset Verification, Washington
View Job DescriptionWe have an urgent requirement for a period of 6 months.
Location: Different plants of an aerospace company in WA.
Project start date: mid-April
Number of resources required: 10
Skills Required
Working experience in any manufacturing plant - preferred in the automobile or aerospace industry.
Capable of identifying various types of equipment used in manufacturing plants.
Job Description
Identify the equipment in the plant.
Capture the make, model number and other specifications available on the equipment.
Role & Responsibilities:
Requirements | B.E Mechanical with 9+ years in the AEC industry proficient in BIM (Revit) |
Excellent interpersonal skills and ability to operate within a multicultural environment with exposure to US market | |
Excellent knowledge on Trane trace 700 or Carrier HAP | |
Excellent communication skills (Will be interacting directly with US customer) | |
Excellent documentation & presentation skills |
Responsibilities | Perform heat load calculations using either Carrier HAP or Trane Trace 700 |
Ability to understand schematic design & convert to detail Mechanical design | |
Ability to design & draw in Revit | |
Proficient in co-ordination effort in both AutoCAD & Revit | |
Pick client feedback & update the drawing/model |
Role & Responsibilities:
Responsibilities | Meet the project delivery expectations of the Reporting Manager, in terms of Quantity, Quality, and Schedule |
Participate in Customer Discussions and be an enabler of Customer Satisfaction | |
Ensure Compliance of all Processes and contribute to its continuous improvement | |
Escalate issues (if any) to the Reporting Manager for the corrective and containment actions to be initiated on time | |
Lead team of 3to 4 resource , independently perform as per client & company requirement |
Core Skills:
Sl No | Skill | Proficiency |
1 | Design (Power + ELV) | 3 |
2 | Revit | 4 |
3 | AutoCAD | 4 |
4 | SKM | 3 |
5 | Navisworks | 3 |
6 | BIM360 | 3 |
7 | Lumion/Any lighting design software | 3 |
8 | Automation Tools (Dynamo) | 3 |
Rating Scale:
0 – No Knowledge/Poor Knowledge;1 – Basic Knowledge; 2 – Able to do with Support; 3 – Able to do Independently; 4 – Able to do Independently and can train others
Job Description:
Qualification:
engineering fundamentals.
Role & Responsibilities:
Responsibilities | Meet the project delivery expectations of the Reporting Manager, in terms of Quantity, Quality, and Schedule |
Participate in Customer Discussions and be an enabler of Customer Satisfaction | |
Ensure Compliance of all Processes and contribute to its continuous improvement | |
Escalate issues (if any) to the Reporting Manager for the corrective and containment actions to be initiated on time |
Core Skills:
Sl No | Skill | Proficiency |
1 | Design Basics/ 3D co ordination | 3 |
2 | Revit | 4 |
3 | AutoCAD | 3 |
4 | Navisworks | 4 |
5 | BIM360 | 3 |
Rating Scale:
0 – No Knowledge/Poor Knowledge;1 – Basic Knowledge; 2 – Able to do with Support; 3 – Able to do Independently; 4 – Able to do Independently and can train others
Responsibilities:
Collaborate with stakeholders to understand business objectives and identify data-driven opportunities
Design and develop predictive models and machine learning algorithms to solve business problems
Clean, preprocess, and analyze large datasets using statistical techniques and machine learning tools
Develop data visualizations and dashboards to communicate insights and findings to stakeholders
Perform exploratory data analysis to uncover patterns, trends, and anomalies in data
Evaluate model performance and make recommendations for model improvements
Stay up-to-date with the latest advancements in data science and machine learning techniques
Work closely with engineers to deploy models into production and monitor their performance
Collaborate with cross-functional teams to integrate data science solutions into business processes
Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives
Requirements:
Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Engineering, or related field
Proven experience as a Data Scientist or similar role
Proficiency in programming languages such as Python or R
Strong knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering, deep learning)
Experience with data visualization tools such as Tableau, Power BI, or matplotlib
Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL)
Familiarity with big data technologies such as Hadoop, Spark, or Kafka
Excellent problem-solving and analytical skills
Strong communication and presentation skills
Ability to work effectively in a fast-paced environment and collaborate with cross-functional teams
Fluency in English, both written and verbal
Preferred Qualifications:
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
Knowledge of natural language processing (NLP) techniques and tools
Experience with distributed computing frameworks such as TensorFlow or PyTorch
Contributions to open-source projects or participation in data science competitions
Certifications in data science or machine learning (e.g., AWS Certified Machine Learning – Specialty, Google Professional Data Engineer)
Position Overview:
We are seeking a talented Full Stack Developer for one of our clients in Finland. The ideal candidate will have a strong background in both front-end and back-end development, with a passion for creating seamless, user-friendly experiences. You will be responsible for designing, developing, and maintaining web applications that meet our clients' needs while adhering to best practices and industry standards. This is an exciting opportunity to work on diverse projects and move to one of the most beautiful countries in the world.
Responsibilities:
Collaborate with cross-functional teams to gather and analyze requirements
Design and develop responsive web applications using modern technologies and frameworks
Write clean, efficient, and maintainable code for both front-end and back-end components
Implement and maintain database schemas and optimize query performance
Ensure the scalability, security, and performance of applications
Conduct code reviews and provide constructive feedback to team members
Stay up-to-date with emerging technologies and industry trends
Troubleshoot and debug issues reported by users or QA team
Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives
Requirements:
Bachelor's degree in Computer Science, Engineering, or related field
Proven experience as a Full Stack Developer or similar role
Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js)
Strong understanding of back-end technologies such as Node.js, Python, Ruby on Rails, or similar frameworks
Experience with relational and non-relational databases (e.g., MySQL, MongoDB)
Familiarity with RESTful APIs and microservices architecture
Knowledge of version control systems such as Git
Excellent problem-solving and communication skills
Ability to work effectively in a fast-paced environment and adapt to changing priorities
Fluency in English, both written and verbal
Preferred Qualifications:
Master's degree in Computer Science or related field
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
Knowledge of containerization and orchestration tools such as Docker and Kubernetes
Understanding of DevOps principles and CI/CD pipelines
Contributions to open-source projects or participation in hackathons