Senior Software Engineer – C# (RMS – Risk Management Systems)

Job Details for BMS Commissioning Engineer

Job Title              : BMS Commissioning Engineer

Department      : BA (Building Automation)

Location            : Mumbai/Pune/Delhi/NCR

Experience        : Minimum 3 years of experience in BMS Engineering, Testing & Commissioning

Desired Qualification: Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university

Skills Required : BMS, SCADA, DDC, PLC Engineering, Testing & Commissioning

Salary                   : As per Company Norms

Job Description

Ø Bachelor’s degree in Electrical/Electronics/Instrumentation Engineering Degree from an accredited college or university.

Ø Minimum 3 years of experience in BMS Engineering, Testing & Commissioning

Ø SCADA, PLC, BMS engineering/programming experience preferred.

Ø Strong understanding of OPC, BACnet, Modbus protocol to include IP, ETH and MS/TP

Ø Design, development, commissioning, and testing of Building automation systems

Ø BMS/SCADA/HMI graphic screen development

Ø IO Loop test and Functional test

Ø Basic knowledge on SQL database programming.

Ø Excellent problem-solving and troubleshooting skills

Ø Providing technical support to clients

Ø Experience with current trends in automation and instrumentation to be able to select and implement modern controls architectures

Ø Strong communication and organizational skills

Senior Software Engineer 

TBO–(www.tbo.com)    

TBO is a global platform that aims to simplify all buying and selling travel needs of travel partners across the world. The proprietary technology platform aims to simplify the demands of the complex world of global travel by seamlessly connecting the highly distributed travel buyers and travel suppliers at scale.

The TBO journey began in 2006 with a simple goal – to address the evolving needs of travel buyers and suppliers, and what started off as a single product air ticketing company, has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, Middle East, India, and Asia Pacific.

Today, TBO’s product range from air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruise, and cargo. Apart from these products, our proprietary platform relies heavily on AI/ML to offer unique listings and products, meeting specific requirements put forth by customers, thus increasing conversions.

TBO’s approach has always been technology-first and we continue to invest on new innovations and new offerings to make travel easy and simple. TBO’s travel APIs are serving large travel ecosystems across the world while the modular architecture of the platform enables new travel products while expanding across new geographies.

Why TBO:

•      You will influence & contribute to “Building World Largest Technology Led Travel Distribution Network” for a $ 9 Trillion global travel business market.

•      We are the emerging leaders in technology led end-to-end travel management, in the B2B space. 

•      Physical Presence in 47 countries with business in 110 countries.

•      We are reputed for our-long lasting trusted relationships. We stand by our eco system of suppliers and buyers to service the end customer. 

•      An open & informal start-up environment which cares.

What TBO offers to a Life Traveller in You:

•      Enhance Your Leadership Acumen. Join the journey to create global scale and ‘World Best’.

•      Challenge Yourself to do something path breaking. Be Empowered. The only thing to stop you will be your imagination.

•      Post pandemic: travel space is likely to see significant growth. Witness and shape this space. It will be one exciting journey.

•      As a fastest growing B2B platform our priority is purpose-building scalable systems. 

•      Adopting industry leading technologies to support best-in-class business capabilities for high performing and scalable solutions.

•      Fast response to the evolving regulatory environment and helping to meet the firm's regulatory commitments by addressing internal and external commitments.

Top Sights During Your Role Stay (Key Expectations):

·        More than 3 years of Prior experience as Backend Developer in any SAAS product .

·        Exposure to languages/ framworks like GoLang/Java/Node /Python / RUST will be preferred.Capacity to use SQL server with ease. Exposure to Redis / MongoDB/ PostgreSQL is desired.

·        Should have worked with cloud platforms like AWS / Azure.

·        A flair for creating well-presented software that is technically sound.

·        Outstanding analytical, problem-solving, and communication skills.

·        Excellent organizational and time management skills.

·        Self-driven, flexible, and innovative.

Your Roles and Responsibilities:

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking and social media.

2. Calling 65-70 leads everyday

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve department’s sales goals on a monthly, quarterly and yearly basis (3L revenue per month) 7. “Go the extra mile” to drive sales

Mission Statement

1. In your training of 1st month, we shall actively probe you through the process using Training Decks, Live Experiences, Re-Training Programs that aims to give you an overall Learning experience along with you paid stipend along the journey.

2. We create career oritented BDT in this 1 month whose skill becomes unmatched across the sector.

3. You are required to use right sales strategy and accomplish 1 Lac of revenue in the training period, hence making a way to achieve License to Sell (L-2-S)

4. You will be entitled for training stipend of INR. 21428. In-office attendance of 90% is mandatory in 1month of training

5. Post 1L Revenue achievement, you will be entitled for below

US/ Canada Shift (8:00 pm to 5:00am) - INR 7.23 LPA (4.83 Fixed + 2.4 LPA Variable)

What are we looking for?

1. Proficiency in English

2. Thorough understanding of marketing and negotiating techniques

3. Fast learner and passion for sales

4. Self-motivated with a results-driven approach

5. Proven experience in sale or relevant role is a plus

6. A friendly and energetic personality with customer service focus

Criteria

1. Willing to work 5 days in a week in a fast paced startup

2. Ready to work from Office and join immediately.

What are the behavioral attributes that we are looking for?

- A keen desire to bring growth for a fast-growing Series B funded startup

- An apparent Founder's mindset

- The candidates should be able to work in a high paced ever-changing digital environment. The role will require you to be resourceful, proactive and an expert communicator. In turn it offers immense learning and growth.

- Don't forget to carry along a dash of humor. It never hurts. And we are fun loving people

•  Participate in requirements analysis
• Collaborate with internal teams to produce software design and architecture
• Write clean, scalable code using .NET programming languages
• Must have experience in technical data structures and should know algorithms
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Improve existing software
• Develop documentation throughout the software development life cycle (SDLC)
• Serve as an expert on applications and provide technical support
• Work independently and should be able to take greater responsibility of projects

Job Requirements-

Strong in programming fundamentals in C#, jQuery, JavaScript and Sql Server.
-Experience in Developing Web-Based App, SDLC & software engineering, Unit Testing.

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Node.js and frameworks available for it - Express, StrongLoop, etc
Understanding the nature of asynchronous programming and its quirks and workarounds
Integration of user-facing elements developed by front-end developers

front-end technologies - HTML5, and CSS3
Writing scalable, reusable, testable, and efficient code