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Job Description

Site Engineer – Civil Maintenance, Repair, and Operations (MRO) 

Job Summary:​

The Site Engineer for MRO is responsible for assisting in the maintenance, repair, 

and operational activities of civil infrastructure and facilities. This role supports senior 

engineers and maintenance teams to ensure that all civil works are executed efficiently, 

safely, and in compliance with relevant standards. 

Key Responsibilities: 

∙Assist in the inspection and assessment of buildings, roads, drainage systems, and 

other civil structures. 

∙Prepare and maintain maintenance schedules for routine and preventive tasks. 

∙Coordinate with contractors and vendors for repair and maintenance work. 

∙Monitor and ensure the quality and safety of ongoing repair and maintenance 

activities. 

∙Maintain records of repairs, inspections, and material usage. 

∙Assist in budgeting and cost estimation for civil MRO works. 

∙Provide technical support during emergency repairs or structural failures. 

∙Support in the procurement of materials and tools required for civil maintenance. 

∙Ensure compliance with safety and environmental regulations. 

Skills and Qualifications: 

∙Bachelor’s or Diploma in Civil Engineering. 

∙2–3 years of experience in civil maintenance or construction (internships count). 

∙Familiarity with construction materials, repair techniques, and building codes. 

∙Proficient in AutoCAD, MS Office, and project management tools. 

∙Good communication and reporting skills. 

∙Willingness to work on-site and respond to emergency repair calls.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

We are looking for a dynamic and self-driven sales representative to join our team. As a SaaS Sales Representative, you will be responsible for driving sales of our recruitment software to new and existing customers. You will identify and qualify leads, create and deliver persuasive sales presentations, and close deals to meet and exceed sales targets.

Key responsibilities:

1. - Identify and qualify potential customers through a variety of methods, including outbound calls, emails, and social media outreach
2. - Understand customer needs and provide solutions through the use of our recruitment software
3. - Create and deliver compelling sales presentations to potential customers, highlighting the benefits and features of our software
4. - Negotiate and close deals with potential customers
5. - Meet and exceed sales targets on a monthly and quarterly basis
6. - Keep up-to-date with industry trends and competitive products

Qualifications:

• - 1- 4 years of experience in a SaaS sales role
• - Proven track record of meeting or exceeding sales targets
• - Excellent communication and presentation skills
• - Ability to build and maintain strong relationships with customers
• - Ability to work independently and as part of a team
• - Experience with CRM software (e.g., Salesforce) is a plus
• - Experience in the recruitment industry is a plus, but not required

If this sounds like a good fit for you, please apply with your resume and a cover letter explaining why you are interested in this role. We look forward to hearing from you!

We are looking for a creative Visual Designer to shape and own the user interface design of our Customer Facing documents in form of Presentations, Graphics, cast studies, collaterals, infographics.

For this role, you will collaborate with a cross-functional team, including designers, Bid Managers, Architects and Sales to ensure our branding is consistent and appealing. If you have the ability to convey messages and information through illustrations, graphics and patterns, we’d like to meet you.

Ultimately, you will design aesthetically pleasing Visuals that capture our brand and engage our audiences.

Responsibilities

• Collaborate with internal teams to define user interface requirements
• Combine various colors, shapes, and typography fonts to improve user experience
• Use drawing applications to design original graphics
• Generate clear ideas, concepts and designs of creative assets from beginning to end.
• Use visual design software to refine illustrations
• Apply sketching techniques, like gradients and contrasts to enhance digital images
• Present rough drafts to product managers and/or key stakeholders to gain approval
• Develop prototypes and models to use in various projects to maximize aesthetic consistency
• Brainstorm new ideas, layouts, and graphics
• Stay up to date with design application changes and industry developments

Requirements

• Proven work experience as a Visual Designer, UI Designer, or similar role
• Portfolio of related works (e.g. logos, animations, and graphics)
• Hands-on experience with image editing and digital sketching software, like Photoshop, Indesign and Adobe Illustrator
• Knowledge of HTML/CSS; is a plus
• Strong aesthetic skills with the ability to combine various colors, fonts, and layouts
• Ability to meet deadlines while working on team projects
• Attention to visual details
• BSc degree in Design, Visual Arts, or relevant qualification
• Minimum 3 years’ experience.

Job Description: 

 
• Responsible for the Strategy, Roadmap, Architecture, Design, Engineering and Lifecycle Delivery of our End User Devices, ensuring they are current and meet the needs of the business.  These technologies include physical devices, Operating Systems, Device Software, printing and mobility services
•        SCCM, (Windows 10, MAC & Linux) desktops, Modern Endpoint Management, InTune, endpoint security
•        Customer focused, confident and articulate with lots of experience in stakeholder meetings and presentations
•        Skills in contributing to technical roadmaps for technologies supported by End users
•        High level understanding of all EUC technology namely SCCM, Nexthink, OS (Windows and Mac) , End point security , Privilege management  , Intune / JAMF
•        Govern the upgrades and compatibility of End User devices to ensure seamless upgrades to the business and new functionality and capabilities are introduced effectively
•        Simplify the environment so our technology is current and delivers a great customer experience
•        Responsible for the management, prioritization and execution of demand
•        Engages with key Stakeholders and Customers to ensure these technologies meet customer needs.
•        Manages our technology partners effectively to ensure that our services are optimized and cost effective
•        Lead a strong technical team to deliver the right technology services to the business to deliver a great customer experience across these services
•        Architecture governance for the Device portfolio to ensure all our technology solutions are designed and implemented to work seamlessly with our applications and infrastructure to deliver a great customer experience.
•        Work across the Infrastructure and Applications team to ensure effective lifecycle management so our IT tools and services are optimized for the business.

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning