● Good communication and collaboration skills with 4-7 years of experience.
● Ability to code and script with strong grasp of CS fundamentals, excellent problem solving abilities.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Good understanding of RDBMS
● Experience in building Data pipelines and processing large datasets .
● Knowledge of building Web Scraping and data mining is a plus.
● Working knowledge of open source tools such as mysql, Solr, ElasticSearch, Cassandra ( data stores )
would be a plus.
● Expert in Python programming
Role and responsibilities
● Inclined towards working in a start-up environment.
● Comfort with frequent, incremental code testing and deployment, Data management skills
● Design and Build robust and scalable data engineering solutions for structured and unstructured data for
delivering business insights, reporting and analytics.
● Expertise in troubleshooting, debugging, data completeness and quality issues and scaling overall
system performance.
● Build robust API ’s that powers our delivery points (Dashboards, Visualizations and other integrations).
About Dataweave Pvt Ltd
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Mevive International™ is one of the leading suppliers & exporters of the finest quality food ingredients ranging from Spices & Seasonings, Dehydrated Vegetables, Dried Leaf Ingredients, Spray Dried Ingredients, Specialty Super Foods products. We are a prominent name when it comes to Quality and Customer Satisfaction at genuine pricing. We are a full-service exporter diversifying within the food industry, with a long history of pioneering new markets & capturing market share. We come with an in house team of consultants, associates and experts with a new vision for the growing Food Business. Certified for Organic Trade & offering value-added services with a global presence in over 25 countries. Our Major markets are Middle East, North/South America, Europe, South-East Asia, Indian Subcontinent and growing.
Visit Website: www.meviveinternational.com
We are seeking a dynamic and results-driven Sales Representative to join our team. The Sales Representative will be responsible for driving sales and expanding our customer base within the dehydrated food industry. This role offers an exciting opportunity to collaborate with cross-functional teams, develop strategic sales plans, and build long-lasting relationships with customers.
JOB DESCRIPTION.
- Develop and implement strategic sales plans to achieve company sales targets and objectives.
- Identify and target new B2B opportunities within the dehydrated food industry, including retailers, distributors, and food service providers.
- Build and maintain strong relationships with existing and potential customers to ensure customer satisfaction and loyalty.
- Conduct market research to identify emerging trends, customer needs, and competitive activities.
- Collaborate with the marketing team to develop promotional materials, sales collateral, and marketing campaigns to support sales efforts.
- Provide regular sales forecasts, reports, and analysis to management, highlighting key performance metrics and opportunities for improvement.
- Negotiate pricing, contracts, and terms with customers to maximize profitability while maintaining customer satisfaction.
- Stay up-to-date with industry developments, product innovations, and market dynamics to provide informed recommendations and insights to the team.
Qualifications:
- Bachelor's degree in Business Administration, Sales and Marketing, or related field.
- Proven track record of success in sales, preferably within the food industry.
- Strong understanding of sales techniques, strategies, and principles.
- Excellent communication, negotiation, and interpersonal skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Highly organized with strong attention to detail and time management skills.
- Proficiency in Microsoft Office suite and CRM software.
- Willingness to travel as needed.
- Communication skills in mother toungue language and Hindi is compulsory
- Apart from which we are also looking for people with communication skills with Kannada, Telugu, Malayalam, Maratihi
Benefits:
- Performance-based incentives.
- Comprehensive health and wellness benefits package.
- Opportunities for career advancement and professional development.
- Positive and inclusive work environment with a supportive team culture.
- Employee discounts on company products.
Salary:
- Salary range will be fixed based on the knowledge and skill set.
- Apart from the above salary you are eligible for commision on achievement of target
1. 6 months to 4 years hands on experience of PHP Laravel framework.
2. Candidates from Gujarat can apply.
3. Candidates can also apply if willing to relocate.
4. 5 days working from office only.
Act as a liaison between the company and clients, maintaining and strengthening relationships
Respond to client inquiries and concerns, providing accurate and timely information
Assist in the planning and execution of client events and meetings
Collaborate with other teams to ensure successful project completion
Provide administrative support to the Client Relations team, including data entry, scheduling appointments, and managing documents
Conduct research to identify new potential clients and opportunities for business growth
Assist in the development of marketing materials and presentations for clients
Attend meetings and take notes as necessary
Duration: 4 months, Stipend: Rs 3000 per month, Full-time assured ob offer on successful completion of internship.
- Position: Laravel Developer
- Total Experience Required: 4 to 5 years
- Required Experience in Laravel: Min 3 Year
- Salary Criteria:45000k to 70000k/month
- Preference: Male and Female both ok
Our EVP (Employee Value Proposition)
· 5 Days working
- Bonus on birthday
- Half salary bonus on every joining anniversary.
- Periodic increment
· Career progression and continuous Learning Development (Technical, Soft skills, Communication, Leadership)
· Standard Salary as per market norms
· Equal career opportunities, No discrimination
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.
This person MUST have:
- B.E Computer Science or equivalent.
- In-depth knowledge of machine learning algorithms and their applications including practical experience with and theoretical understanding of algorithms for classification, regression and clustering.
- Hands-on experience in computer vision and deep learning projects to solve real world problems involving vision tasks such as object detection, Object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation etc.
- Strong understanding of modern and traditional Computer Vision Algorithms.
- Experience in one of the Deep Learning Frameworks / Networks: PyTorch, TensorFlow, Darknet(YOLO v4 v5), U-Net, Mask R-CNN, EfficientDet,BERT etc.
- Proficiency with CNN architectures such as ResNet, VGG, UNet, MobileNet, pix2pix, and CycleGAN.
- Experienced user of libraries such as OpenCV, scikit-learn, matplotlib and pandas.
- Ability to transform research articles into working solutions to solve real-world problems.
- High proficiency in Python programming knowledge.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Strong communication skills.
Experience:
- Min 2 year experience
- Startup experience is a must.
Location:
- Remote developer
Timings:
- 40 hours a week but with 4 hours a day overlapping with the client timezone. Typically clients are in the California PST Timezone.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Responsibilities :
- Design, build, and maintain high performance, reusable, and reliable code
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Skills :
- Should have 2 - 4+ years of experience in Java
- Hands on experience in designing and building Java application using various frameworks is must
- Experience in Spring, Spring cloud and Spring Boot
- Experience in Angular,SQL,GIT.
- Experience in Maven and Gradle
- Should Possess good knowledge in creating test plans and test strategies.
- Knowledge of implementing various testing methodologies, test automation tools
- Designing and documenting detailed test cases to cover all levels of tests
- Strong analytical and problem solving skills
- Excellent oral and written communication skills
- Good logical sense, strong technical skills and the ability to learn new technologies quickly
Education:
- Bachelor's (Required)
Experience:
- total work: 2 -4 years (Required)
Job Types: Full-time, Permanent
Salary: ₹60,000.00 - ₹100,000.00 per month
- In-depth knowledge of at least one programming language such as Clojure, Go, Python, Java, Javascript (Node), Ruby, Erlang/Elixir
- Thorough understanding of PostgreSQL. Experience working with views, common table expressions (CTE), window functions, joins, different kinds of indexes, etc.
- Practical knowledge of Linux server management
- Understanding of functional programming concepts
- Knowledge of Chef, Puppet, Salt, etc. is a plus
- Experience in distributed systems is a plus
Responsibilities:
- Plan future implementations by working closely with the product team
- Deliver an amazing user experience by working with the front-end developers
- Write test suites and deploy code into production
- Setup monitoring and alerts for in-production services
- Automate deployments
Continue if:
- You want to build a world-class Saas B2B communication product, using the latest tools, from scratch
- You love to code 8+ hours a day and solve hard problems by building software you are proud of
- You enjoy working with directly with amazing entrepreneurs
- You are driven by the desire to learn
- You like the pressure to perform because it makes you a better person
- You are passionate about getting stuff done
- You are passionate about making a tangible difference in the world
- Passionate about writing elegant, functional efficient code
Recruitment stages:
- Resume Screen
- Phone screen
- Technical interview and take-home assignment
- Interview with founders
- Offer
Why Unifize:
- The co-founders have been running companies in at least five countries over the past fifteen years, including deep experience in technology, operations and sales in engineering/manufacturing businesses.
- We are part of Techstars first India batch, and part of Target and Airbus Accelerators
- Attended universities that are consistently ranked in the Top 10 in the world.
- We have a track record of raising capital and strong existing relationships with the finance community in both India, the US and the UK. We have funding for at least the next 24 months.
- We have strong domain expertise in the industry they are trying to disrupt. However, we still followed the discipline of spending six months doing rigorous customer development spanning six countries before defining their product or writing a single line of code. We have already identified and are working with ten customers.
- We have very high expectations from the candidates that we do select, especially in terms of first-principles thinking, communication and accountability. We will not select average candidates, and we want to encourage our employees to see Unifize as a learning ground for possibly starting their own technology businesses in the future.
- We strongly believe in evidence-based decisions, transparency, corporate governance, meritocracy, and an open forum for discussion.
- We explicitly want to build a team from different backgrounds and with a wide range of interests and experiences. We are committed to building a gender-balanced organization.
About Unifize:
- Unifize helps teams that manage repeatable processes reduce wasted time by up to 95% by organizing their emails and other conversations around objectives.
- We build a cloud-based chat application that helps these companies measure and reduce time and errors in their communication processes, so their teams can focus on selling better products to happier customers.