Senior UI/UX Designer

1.promote our products and services to public.

2.Collect and analyze market information.

3.Operate online community.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Job Description 

Responsibilities: 

∙Work as part of K&A Power & Renewable - Distribution team 

∙Delivery of power distribution infra projects. 

∙Diligent check and review of the deliverables to assure quality. 

∙Deliver projects on time to meet project schedule. 

Requirements 

Essential qualifications: 

∙Bachelor Degree in Electrical & Electronics/ Electrical Engineering from a 

recognized University. 

∙Minimum 5-8 years’ relevant design experience in dry utilities engineering 

environment with Vendors, Contractors or Design Consultancies in 

infrastructure projects. 

∙Middle east projects work experience in dry utilities.  

∙Knowledge of IEC/IEEE Standards 

∙Well aware of Medium Voltage and Low Voltage Power distribution and 

planning.  

∙Working knowledge of software Civil 3D, ETAP, AUTO CAD and Dialux. 

∙Well aware of using Dialux software for outdoor street lighting calculation. 

∙Well aware of Pump Stations Electrical design works  

∙Able to independently work on project deliverables from base design stage to 

detailed designs. 

∙Excellent English communication skills within the engineering environment 

Desired qualifications: 

∙Demonstrable track record of technical achievement and client satisfaction 

within the infrastructure projects (Dry utilities). 

∙Ability to apply technical knowledge in analysing problems and creating 

solutions. 

∙Willingness to travel to Middle East and African Countries for short term 

assignments 

∙Ability to adapt to different cultures and working environments 

∙Ability to build rapport with customers and colleagues 

∙Well-motivated and able to work as part of a team or on individual assignments 

as required 

∙Able to work and communicate effectively within multidisciplinary teams 

∙Flexible approach to work 

∙Ability to work on one’s own initiative 

KIME Careers is an Ed-Tech company that deals in distance learning programs and enrols students for the same for Universities. We bridge the distance between a working professional and college. with an aim to help a working professional decide the right career path towards excellence and growth through the best University Portfolio and prepare them to derive exceptional skills and competence to sustain in ever-evolving and challenging markets.

PROFILE – BUSINESS DEVELOPMENT EXECUTIVE ROLES & RESPONSIBILITIES- • Identifying opportunities for new Business Development through Lead Generation. • Co-ordinate pre-sales and post-sales follow up. • Presenting our product to potential clients. • Closing sales and working with the client through the closing process. • Building long term trusting relationships with clients. • Achieving Monthly targets. • Creating and maintaining a database of prospect clients; maintain a database ( Salesforce, Excel ) of prospective client information • Inside sales & Outdoor meetings if required. SKILLS REQUIRED

• Good Communication and Presentation skills. • Enthusiastic and Spontaneous. • Passionate about Sales.

QUALIFICATIONS REQUIRED-

 Graduates/ Post Graduates.

Brief on Amplior:-

• We are a Global B2B Tech-driven start-up lead generation company, with an awesome team, generating significant value
• We do things a bit differently... There is no corporate nonsense, and no old-fashioned hierarchy. Instead, we work in self-sufficient, autonomous teams
• Mostly, you’re your own boss, you also get plenty of guidance and support from super talented, smart colleagues, always pushing the boundaries of innovation
• We believe that people from different backgrounds, identities, and experiences, make our product and the company better. 

• Our Client Partners have Great comm skills and confidence
• Experience is welcome but not a necessity, Interns welcome
• Apply if you want to make a great career in marketing, sales, especially B2B (Business to business)
• You need to be Eager to learn more, ready to do quality conversations with Senior Executives in the biggest of the companies PAN India and Globally
• Love to research and find out about potential business prospects for our clients 

URGENT HIRING

MARKETING EXECUTIVE (At least 1-years' marketing experience is a must)

(We are hiring for Uttar Pradesh, Uttarakhand, Delhi, Haryana – We will recruit "one" marketing executive in each district)

Work Profile:

• Meeting with students, teachers, training institutes, job seekers, and IT institutes.
• Give presentations about our courses and campaign in schools, institutes, and colleges.
• Time to time follow-up and regular reporting on a daily basis.
• Enrol learners to the courses offered by us.
• Manage data on a regular basis and do proper engagement.
• Maintain client relations.

Eligibility:

• Must have at least 1-year of experience in Sales and Marketing. (Preference will be given to candidates with prior experience or networking in Education/EdTech sector)
• Must have good communication skills in English, Hindi, and your regional language.
• Must be a graduate in any stream.
• Must have a 2-wheeler with a valid driving license.

Benefits:

• Salary (Fixed) - From 10k to 35k with good incentive scheme.
• PF and ESI facilities.
• Annual appraisals.
• Travelling allowances (Rs. 3/km), beyond 10 km from your respective home location.
• Internal Job Posting (IJP) facility.

Working hours: 9 AM to 6 PM (Monday to Saturday)

Call or WhatsApp: 639.38.00.148

Email: atish[AT]hrms[DOT]oneisok[DOT]in

About Us

We are one of the most ambitious start-ups in Digital Learning, conducting digital courses with training and on paper 100% job guarantee. Visit https://www.dl.oneisok.com for more insight.

Vision

Provide the best, professional and digital education online, at lowest prices, and also free where possible.

Mission

No 10+2 passed person in India seeking employment remains unemployed, with our "job-guaranteed" courses.

**NOTE: THIS IS A DIRECT RECRUITMENT. NO CHARGES ARE INVOLVED.**

#job #opportunity #bestjob #jobseeker #jobs #oneisok #education #edtech #sales #marketing #executive #marketingexecutive #fresher #experienced #UttarPradesh #UP #Haryana #HR #Delhi #DL #Uttarakhand #UK #AllDistricts

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.