Director of Engineering

Product Range –

• Power Transformers up to 200 MVA and 400 kV

• Generator Transformers

• Unit Auxiliary Transformers

• Special Application Transformers

Role: Production

Locations: Airoli

Qualification: Diploma/Degree in engineering

Years of Experience: 2 to 12 years

Work hours: shift working involved

Nature of Experience: exposure to any of the sections in production i.e. Core Coil Assembly, Separate Phase Assembly, Winding, VPD Ovening, Tanking

Responsibilities:

·        Completion of shop floor loading & monitor closely productivity of workers.

• Ensure completion of daily production targets adhering to defined standards of cost, quality and time
• Attend productivity meetings to discuss the discrepancies in the planned vs actual plan.
• Preparation of productivity reports based on throughput & timeliness for presenting the same in productivity meetings.
• Undertake Production Planning and Control activities ensuring adherence to production targets in terms of cost, quality, throughput & timeliness Coordinate with the technical design (electrical and mechanical) function for a design review before the start of every work order and for clarifications on design parameters during production 
• Ensure material requisitions are raised on time to obtain the material from the stores team
•  Ensure the adherence of the workers to the shift schedule.
• Drive discipline on the shop floor and maintain healthy industrial relations in coordination with the HR function
• Drive a culture of continuous improvement in section of the production process
• Ensure appropriate training is been given to the winding team by conducting various training sessions.
• Ensure all the documentation & statutory compliances are fulfilled in timely manner to facilitate completion of all the audits.
• Identify production bottlenecks and ensure elimination of the same in coordination with the engineering function
• Drive cost savings through cost effective utilization of resources, process improvements and reduction in operational expenses / overheads
• Ensure all production related documentations / records are maintained and updated through SAP
• Ensure compliance to SOP’s ,process flows and production protocol to ensure minimum deviation from specifications

We are hiring a Java Production Support Engineer with hands-on experience in Java, Spring Boot, and Splunk. You’ll be responsible for ensuring smooth functioning of our production systems by proactively monitoring, troubleshooting, and resolving issues in real time.

Key Responsibilities

• Provide L2/L3 support for Java/Spring Boot-based applications in production.
• Monitor logs and system health using Splunk and other observability tools.
• Troubleshoot performance, latency, and availability issues.
• Perform root cause analysis (RCA) and work with dev teams for permanent fixes.
• Support incident and change management processes.
• Create and maintain runbooks and support documentation.

Must-Have Skills

• Strong knowledge of Java, Spring Boot, and REST APIs.
• Proficient in using Splunk for log analysis and monitoring.
• Good understanding of relational databases (SQL) and Linux commands.
• Experience with CI/CD tools (Jenkins, Git) and basic scripting (Bash, Python).
• Analytical thinking and excellent problem-solving skills.

• 7– 10 years of relevant work experience
• Graduation is a must
• Excellent communication skills
• Excellent knowledge and experience in managing heavy equipment and spares
• Good staff management skills    

• Creates and executes test plans and clear, concise test scripts for new products or enhancements to existing products
• Defines comprehensive scenarios and variations in data to adequately perform testing
• Schedules and performs functional, integration, regression, and release testing
• Submits defects and issues to development for correction, and retests once defects have been resolved
• Reports test results and status as appropriate
• Tracks defects and causal analysis to closure
• Creates and/or reviews requirements, design, and scope documents
• Helps support and advocates the standard to test design, procedures and may provide input to those procedures
• Coordinates and/or performs testing from initiation through delivery
• Ensures testing is completed on schedule and within budget
• Serves as liaison between technical and non-technical department in order to ensure that all targets and requirements are met
• May create and maintain test libraries, databases, and test environments
• May certify and review test results of other analysts and testers
• May assist with software changes for documentation update or correction
• May assist with automated scripts from team members
• May cross-train and mentor less experienced QA team members
• Prepare Automated Scripts for the Modules
• Prepare reusable methods and Artifacts which helps in improving efficiency and productivity

Skills & Experience:

• Able to meet aggressive deadlines and handle multiple complex projects
• Cross-browser testing (Windows - Firefox, Chrome, IE, Edge)/ (Mac Book - Safari, Chrome, Firefox)
• Involves UI and UX testing. (UI User Interface & UX User Experience)
• Able to handle scripting across different technologies
• Good knowledge of software development lifecycles
• Good knowledge of software testing lifecycles
• Good knowledge of AGILE/SCRUM
• Good Knowledge of testing web-based applications on Mobiles / Desktop
• Able to modify testing development or to suit the environment or product
• Knowledge/experience of testing multiple platforms, browsers, and mobile devices a big plus
• Experience with the use of automated testing tools such as Selenium/Appium
• Good knowledge of Performance testing
• Good knowledge of API Testing (Manual as well as Automation)

Preferred:

• Understanding of and hands-on experience with testing tools; in particular Microsoft Visual Studio/TFS, MS Office, SharePoint, Test Data editors and JIRA
• ISTQB Advanced / QAI Certified / AEM Certifications

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)