11+ Plant lifecycle management Jobs in India
Apply to 11+ Plant lifecycle management Jobs on CutShort.io. Find your next job, effortlessly. Browse Plant lifecycle management Jobs and apply today!
![icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fsearch.png&w=48&q=75)
- Increase production, assets capacity and flexibility while minimizing unnecessary costs and maintaining current quality standards
- Be responsible for production output, product quality and on-time shipping
- Allocate resources effectively and fully utilize assets to produce optimal results
- Implement strategies in alignment with strategic initiatives and provide a clear sense of direction and focus
- Monitor operations and trigger corrective actions
- Share a trusting relationship with workgroup and recruit, manage and develop plant staff
- Collect and analyze data to find places of waste or overtime
- Commit to plant safety procedures
- Develop systems and processes that track and optimize productivity and standards, metrics and performance targets to ensure effective return on assets
- Address employees- issues or grievances and administer collective bargaining agreements
- Influence and learn from below
- Stay up to date with latest production management best practices and concepts
![Client is an AI Innovation Lab on a mission to operationalise AI for 10,000 most important institutions of this century.](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fdefault_company_picture.jpg&w=256&q=75)
Client is an AI Innovation Lab on a mission to operationalise AI for 10,000 most important institutions of this century.
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fmachine_learning.png&w=32&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fdata_science.png&w=32&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fdeep_learning.png&w=32&q=75)
● A resourceful engineer willing to experiment and work in an ambiguous, early stage,
fast-changing environment
● Excited to innovate and solve challenging problems from first principl
● 8+ years of experience across data science, machine learning and deep learning
with a track record of experimenting and building scalable solutions
● Strong understanding of common AI/ML libraries and frameworks such as PyTorch,
TensorFlow, Numpy, Scikit Learn etc.
● Strong programming knowledge in languages such as Java, Python or Scala
● Experience with cloud platforms such as AWS or Azure and some familiarity with big
data technologies such as Spark
● Bachelors / Masters degree program in Computer Science Engineering or
associated programs (Data Science, AI/ML etc.)
● Experience in the marketing technology domain or experience with image or video
models will be an added advantage
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fdeep_learning.png&w=32&q=75)
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fnet.png&w=32&q=75)
Job Description -
Position - Dot Net Developer
Skills - Dot Net, Node js
Experience - 4-7 yrs
Location - Remote
Notice Period - 0-20 Days
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fphp.png&w=32&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fcode_igniter.png&w=32&q=75)
Wordpress:
Should have hands-on experience in WordPress & HOOKS concepts.
Extensive knowledge and experience of building WordPress CMS websites using the best practice & de-facto standard plugins.
- Knowledge of Customization of themes & plugins
- Experience working with WordPress at a PHP code level.
- Knowledge of existing inbuilt WordPress functions.
- Theme Template integration.
- Good understanding of cross-platform and cross-browser issues.
- Experience in developing E-Commerce websites
Shopify:
Should have hands-on experience in Shopify API & APP concepts.
Extensive knowledge and experience of building custom stores.
- Knowledge of Customization of themes & apps
- Experience working with Shopify API's
- Knowledge of existing inbuilt Shopify system.
- Theme Template integration.
- Good understanding of cross-platform and cross-browser issues
It is a platform for creators, influencers and celebrities to grow, manage and monetise their community. It is aimed at both established and aspiring online creators who want to pursue their passion. Our vision is to enable anyone and everyone to make a successful living doing what they enjoy.
Skills And Qualification:-
- Must have experience with any scripting language (JavaScript/NodeJS preferred)
- Experience with API-driven and highly scalable application is a plus
- Good knowledge of non-relational DB (MongoDB preferred)
- Good with data structures and algorithms
- Good to have an experience with testing framework and CI/CD pipeline
- 1+ years of experience in software development preferably B2C experience.
- Basic understanding of Frontend and client side frameworks like React, Angular, Vue will be plus
- Experience in building scalable Restful APIs & Services.
Education requirement:-
• B.Tech (computer science preferred)
Responsibilities:-
• Clarify feature requirements with product team
• Design end to end feature flow
• Write scalable and bug free code
• Take care of test and deployment pipeline
• Maintaining the existing products
![SUVI(provide a best hike on the current or offered ctc)](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fdefault_company_picture.jpg&w=256&q=75)
SUVI(provide a best hike on the current or offered ctc)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fc_sharp.png&w=32&q=75)
Mobile App
Development in C#
software development
web application
mobile application
microsoft visual
Job Title : Lead Generation Executive
Generate new business opportunities through cold calling- Understand the Products features of (cloud , SAAS, SAP ect...) services, and value proposition clearly
- Develop a strategic plan to source and develop business opportunities at your assigned accounts
- Researching potential leads from business directories, web searches, or digital resources
- Reach out to prospects via telephone and email to qualify leads
- Research and build new and existing accounts (i.e. adding contacts, sending emails, strategic calling)
- Conduct high level conversations with senior executives in prospect accounts
- Generate marketing qualified leads that are processed as new opportunities and assign to the sales team
- Duties include driving specific sales programs, outbound calling, and prospecting to grow IT Business
- Responsible for handling initial customer sales inquiries with the goal of selling new prospects and/or upgrading existing customers' products and services
- Will have enough knowledge to understand product features and the benefits to customers along with Industry vertical
- Pitching services and generate sales lead
- Establishing and maintaining appropriate pipeline to meet the requirements of the sales targets
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Freact.png&w=32&q=75)
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fangular.png&w=32&q=75)
Frontend Developer
RESPONSIBILITIES
- Understanding requirements present in specification documents
- Integrate data from various backend-services and databases
- Working with code base across multiple development & staging environments
- Take part in User Acceptance Testing (UAT)
- Be part of Production deployment & release activities
TECH SKILLS
- Must Have:
* Proven working experience in web programming
* Know HTML, CSS and JavaScript and the relevant web design coding
* Must have knowledge on Angular 4+
* Good to have knowledge on React js
* Good to have knowledge on view.js
* Good documentation skills
EXPERIENCE
- 2 to 4 years, preferably in an agile environment