![Lydia Recruiters's logo](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fdefault_company_picture.jpg&w=3840&q=75)
Candidates should have experience into field sales
Core sales Experience
Lead generation
Technical Sales Engineer
Should be from Mechanical Background.
Able to achieve sales Target
Interested candidates please apply ASAP.
![companies logos](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fhiring_companies_logos-v2.webp&w=3840&q=80)
About Lydia Recruiters
About
Connect with the team
Company social profiles
Similar jobs
We are hiring for Package Consultant - SAP IS Oil& Gas.
Job description:
SAP IS Oil TD/TSW/Excise Duty consultant IS OIL Consultant with MM knowledge. Functional consultant to design and implement Truck/Logistics solution and setting up new legal entities as part of customer growth strategy in new countries. Good communication and stakeholder management skills
Experience:5+Years
Warm Regards
Abha Kumari
Senior HR Executive
Codersbrain Technology Pvt Ltd
www.codersbrain.com
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fc.png&w=32&q=75)
At Tecknotrove, candidates will get an opportunity to learn & work on the latest cutting-edge technologies to build simulation & VR-based applications & modules.
Selected intern's day-to-day responsibilities include:
1. Assist in developing and maintaining software applications
2. Write clean, efficient, and well-documented code
3. Collaborate with team members on various projects
4. Learn and apply best practices in software development
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. are available for duration of 6 months
3. have relevant skills and interests
* Women wanting to start/restart their career can also apply.
Post completion of internship candidates will be presented with an opportunity to work full time on payroll of the company based on their internship evaluation.
![skill icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fskill_icons%2Fphp.png&w=32&q=75)
Requirements:
-
A candidate must have in-depth knowledge of Laravel and Illuminate.
-
Must have an understanding of Relationships & Eloquent.
-
Should have proven experience to use Laravel in any of the projects either on the job or during the academics.
-
Should have developed minimum 3 to 4 projects during the work experience.
-
Basic Knowledge of creating REST API in Laravel.
-
Basic knowledge of front-end technologies such as HTML, Javascript/jQuery, Ajax and CSS3
-
Ability to understand security compliance of PHP
-
An implication of OOP is must, hence in-depth understanding is necessary.
-
Knowledge of Cloud-Server.
-
Knowledge of CI/CD.
-
Knowledge advance Front-End Technologies.
-
Basic knowledge of NodeJS.
-
5 Days Working
-
Competitive Salary.
-
Knowledge-Based Hierarchy
-
Trending Technology Development
-
Career Development Programs.
-
Reskilling Programs.
-
Comapny Sponsored National & International Certification Courses.
-
Tremendous Scope of Responsibilities and KPIs Aligned with Individual and Organisational Goals.
-
Exposure to working with a team size of 65+.
-
Good Project Incentives and Rewards.
-
Monthly Rewards and Recognition Program- Star Performer of the Month.
-
Work-Life Balance.
-
Fantastic Team Spirit with Creative, Fun and Open Office Work Culture.
-
Write “clean”, well-designed code
-
Design overall architecture of the web application and maintain quality and ensure responsiveness of applications.
-
Collaborate with the rest of the engineering team and work on code versioning tools such as GIT.
-
Carry out risk analysis of introducing new technology for development and infrastructure to ensure security and ultimate goal.
-
Maintaining existing codebase, to include troubleshooting bugs and adding new features.
-
Understanding and implementation of security and data protection.
-
Documenting application changes and developing updates.
-
Develop the quality product using best practices of Laravel.
Do you love leading a team of engineers, coding up new products, and making sure that they work well together? If so, this is the job for you.
As an Engineering Manager in Unscript, you'll be responsible for managing a team of engineers who are focused on developing new products. You'll be able to apply your strong engineering background as well as your experience with large-scale development projects in the past.
You'll also be able to act as Product Owner (we know it's not your job but you'll have to do this :) ) and make sure that the team is working towards the right goals.
Being the Engineering Manager at Unscript means owning up to all things—from technical issues to product decisions—and being comfortable with taking responsibility for everything from hiring and training new hires, to making sure you get the best out of every individual.
About Us:
UnScript uses AI to create videos that were never shot. Our technology saves brands thousands of dollars spent in hiring influencers/actors, shooting videos with them. UnScript was founded by distinguished alums from IIT, with exemplary backgrounds in business and technology. UnScript has raised two rounds of funding from global VCs with Peter Thiel(Co-founder, Paypal) and Ried Hoffman ( Co-founder, Linkedin) as investors.
Required Qualifications:
- B.Tech or higher in Computer Science from a premier institute. (We are willing to waive this requirement if you are an exceptional programmer).
- Building scalable & performant web systems with clear focus on reusable modules.
- You are comfortable in a high paced environment and can respond to urgent (and at times ambiguous) requests
- Ability to translate fuzzy business problems into technical problems & come up with design, estimates, planning, execution & deliver the solution independently.
- Knowledge in AWS or other cloud Infra.
The Team:
Unscript was started by Ritwika Chowdhury. Our team brings experience from other foremost institutions like IIT Kharagpur, Microsoft Research, IIT Bombay, IIIT, BCG etc. We are thrilled to be backed by some of the world's largest VC firms and angel investors.
- Oversees all company social media accounts management and reporting.
- Plan strategies to drive traffic and engagement to generate leads.
- Develop engaging, creative, innovative content and graphics for regularly scheduled posts, which promote brand-focused messages.
- Coordinate with other departments to plan social media activities.
- Design and handle paid advertising campaigns on LinkedIn and Facebook.
- Analyze social media campaigns with tracking systems to gather visitor data and determine efficacy and areas for social media campaign improvement.
- Monitor and develop reports on competitor activity within social media spaces.
- Monitoring users' engagement with and feedback on every post.
- Exploring the potential value of social media sites that are not yet in our repertoire.
- In-depth understanding of all the latest and familiar social media sites with their associated algorithms.
- Finding relevant groups on social channels and contribute.
- Connecting with potential leads, and influencers to build a connection.
- Stay up to date with social media trends.
- Connect with social media influencers to improve brand reputation.
Requirements
- Experience – 3+ years of experience
- Minimum a bachelor's degree
- Prior social media handling experience min 3 years
- Experience in handling social media automation tools such as Hoot suite, Hub spot, Buffer etc.
- Expert knowledge of all leading social media sites.
- Good communication skills.
- Flexible and engaging writing style.
- Experience with a designing tool (Canva, Illustrator, etc)
![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%2Fmachine_learning.png&w=32&q=75)
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
![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)
Your main responsibility will be designing and implementing applications that are written in PHP. This means you will work closely with front end developers to integrate backend components with the components they’re creating for users to interact with.
Responsibilities
- Integration of user-facing elements developed by front-end developers
- Build efficient, testable, and reusable PHP modules
- Solve complex performance problems and architectural challenges
- Integration of data storage solutions Skills And Qualifications
- Strong knowledge of PHP web frameworks such as cake php, Laravel, Yii, etc depending on your technology stack
- Understanding the fully synchronous behavior of PHP
- Understanding of MVC design patterns
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Knowledge of object oriented PHP programming
Behavior Labs team:
The Behavior Labs team sits at the centre of the company and curates the Mia coach, that produces the content and insights to bring about behavior change. It pushes out to enterprise users, insights about expected performance behavior during a business period. It enables enterprises to influence the behaviors of sales personnel from encouraging early starts to push for lightning finishes. It guides enterprises on how to monitor and manage the behavioural journey that would lead to positive outcomes. Thousands of sales and customer service personnel across the globe are influenced and nudged towards behavior change that results in better performance outcomes.
The behavior lab has two key tasks – use the latest thinking in the space of BE and employee performance to enable specific user groups performance and developing a holistic understanding of the user and mining those insights to consistently fine tune the product. This team contributes towards the development of the digital design interface through which users view the nudge. The team also prepares behavioral analytics decks for clients on a regular basis.
We are looking for a new age candidate for the position of a Behavioral Researcher to work in an environment that is in the frontier of using human behavioural understanding and technology to influence behavior change amongst enterprise workers.
Key responsibilities will include:
- Generating insights about behavior from a range of data sources; developing testable propositions
- Conducting original research (e.g. small-scale experiments; feasibility studies to test interventions, qualitative research); analysing quantitative and qualitative data. Understand the trade-offs between different research methods (i.e. quant vs qual, survey vs experiment, A/B tests etc.).
- Action the use of behavioral science concepts into the development of the nudge engine. Keep a continuous watch on new developments in the BE field to adopt and apply into product design.
- Use behavioural science to create contextual information, communication ideas that can influence action amongst user groups and drive them towards a behavioural journey.
- Be intellectually curious and open to innovation but maintain objectivity to ensure that the focus remains on the scientific foundation in which the product is built.
- Good communication and influencing skills, both verbal and written, for a product development & customer facing audience. Specifically, the ability to communicate to these audiences in industry language.
- This role requires a person with curiosity and a passion for inquiry, comfort with ambiguity, and an entrepreneurial/learning mindset. Self-motivated and flexible, this person will be adept at both creative and analytical thinking.
- This is a highly collaborative role which requires the ability to work across the organisation’s product & design teams to develop appropriate ways to bridge the intention – action gap amongst users.
![icon](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fsearch.png&w=48&q=75)
![companies logos](/_next/image?url=https%3A%2F%2Fcdn.cutshort.io%2Fpublic%2Fimages%2Fhiring_companies_logos-v2.webp&w=3840&q=80)