Senior ML Engineer

Responsibilities:
● Collaborate with engineering, design and product teams to design and ship new
features. Identify and solve bottlenecks and fix bugs.

Desirable Qualifications:
● Deep knowledge of Ruby on Rails (RoR) practices and commonly used modules; deep
understanding of RoR internals like databases, API, caching, proxies, web services,
performance and scalability.
● Experience creating self-contained, reusable, and testable modules and components.
● Experience in SQL and NoSql databases in production environments. Experience
working with Git, AWS/GCP.
● Good communication skills
● 4+ years of relevant experience as a software engineer

Company Profile
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.

Looking for candidate who is well in Anaplan Builder module
Good communication skill
Design dashboard module
Anaplan SDLC

 

 

Job description:-

 

• Responsibilities Implementing business development activities, attending to all relevant business opportunities in International Market for IT Software Industry.
• It would be involved in Business Development Life Cycle, mainly focusing on areas like Cold Calling, Client Interaction International Business Development.
• Generate lead and achieve monthly target.
• Maintain and develop relationships with customers.
• Act as a contact between a company and its existing and potential clients.
• Negotiate the terms of an agreement and close sales.
• Conducting market research to identify new business opportunities.

 

Requirements:-

 

• Minimum Qualifications Any Graduate
• 2 to 4 years of Proven experience working as a business development in Offshore IT Services.
• Excellent English Communication Presentation Skills with pleasing personality.
• The ability to work in a fast-paced environment.
• Exceptional negotiation and decision-making skills.

 

Desired Skills and Experience

 

• Bid On freelancer, guru, UpWork.
• Lead generation LinkedIn, Xing, AnglList and from other platforms.
• Intermediate in between client and developer.
• Make SRS report for requirement.
• International business development
• Mentor the junior business development executive
• Take ownership for the business growth

Senior Engineering Manager – Frontend

Myntra’s Engineering team builds the technology platform that empowers our customers’ shopping experience and enables the smooth flow of products from suppliers to our customers’ doorsteps. We work on areas such as building massive-scale web-applications, engaging user-interfaces, big-data analytics, mobile apps, workflow systems, inventory management etc. We are a small technology team where each individual makes a huge impact. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive eCommerce platform.

You will be a part of: Supply Chain Management (SCM)

Myntra-Jabong Supply Chain Management systems form the backbone of our core business and customer experience. Any business runs on a simple construct of Demand (Consumer) and Supply (Producer). However, a set of complex and intricate methods, processes and systems connect the demand with supply in a deterministic and predictable way. These methods, processes and systems collectively form the Supply Chain for the business. The multi-billion-dollar Myntra-Jabong business fundamentally rests on a set of highly scalable, robust and intelligent Supply Chain Management systems that solve real-world problems of predicting the demand from millions of our customers, for a combination of millions of products from our product catalogue, and intelligently connecting that demand to thousands of national and international sellers or suppliers using a set of advanced homegrown tech products that we build and manage.

SCM engineering employs new-age technologies such as Distributed Computing constructs, Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence; scalable data stores in Mongo, Redis, Cassandra, MySQL, Elastic Search, Solr; scalable programming constructs in Node.js, GoLang, Java; JavaScript, Python, and new-age frameworks such as ReactJS and ReactNative to solve some of the hardest problems in the e-commerce business
with world-class software products.

The SCM engineering at Myntra-Jabong operates within two distinct verticals: Supply-chain Outbound (Fulfilment systems) & Supply-chain Inbound (Selection systems, Partner experience).

Responsibilities
● Technical Guidance: You will provide technical leadership to a team of excellent software engineers; this
requires that you have the technical depth to make complex design decisions and the hands-on ability to
lead by example.
● Execution and Delivery: You will be expected to instil and follow good software development practices
and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as
be able to adapt these to the needs of the business, with a constant focus on product quality.
● Team management: You will be responsible for hiring and mentoring your team; helping individuals
grow in their careers, having a constant dialogue about their aspirations and sharing prompt, clear and
actionable feedback about performance.

Skills / Experience
● Total of 9+ years’ in developing front-end for large scale web based consumer facing products and 2 + years’ experience in team management
● Degree in Computer Science or related field.
● Good understanding of mobile platforms and browsers.
● Strong CS & HTTP fundamentals.
● Experience and expertise in UI architecture, component/framework design.
● In depth strength and experience in JavaScript.
● Excellent programming skills in HTML5, CSS3.
● Building advanced responsive layouts.
● Node.js background is essential, React.js is a plus.
● Ability to write code compatible across browsers and other clients.
● Exposure to mobile-based interfaces, social media.
● Good understanding of backend systems i.e. web services, APIs from consumer
perspective.

Requirements
● Technical depth
o Strong technical competence required to gain credibility. Ability to architect, design and code
yourself. Technical experience in building and operating web-based applications. Deep
understanding of all layers of the web-stack work (from the client interface to the database).
Knowledge of multiple technology stacks/languages/tools and their pros/cons.

● Execution ability
o Focus on delivering products in a timely manner with high quality. Familiarity with multiple software
development practices and tools, and the proven ability to adapt, champion and institute good
practices and tools.

● Strong understanding of object- oriented programming, concurrency and fundamentals of
computer-science.

We are Looking for BIW FIxture Design Engineers With Skills like Catia, Unigraphics NX, Concept Design, 2D,3D.

Digital Marketing Executive Job Duties and Responsibilities: Develop a marketing strategy Prepare and manage a marketing Create and promote the overall brand identity of company Creation and distribution marketing materials Present projects to clients Plan, direct, and organize advertising and promotional campaigns/events Collect - analyze market research data & application Provide updated status reports with statistics Run campaigns across multiple social media platforms Design and oversee ad layouts Write copy and content for marketing material Attend marketing conferences and seminars as required Oversee and prepare marketing budgets Establish beneficial pricing strategies Foster and manage positive customer relationships Negotiate advertising contracts Meeting Set Sales Target by month, quarter and Annual Requirements and Qualifications: Bachelor’s degree in marketing, business administration, or related field; MBA preferred Experience in sales, marketing, advertising, and brand management Membership in the American Marketing Association (AMA) Professional Certified Marketer (PCM) certification a plus Experience in website design and content development; experience in copywriting Digital marketing/advertising expertise Experience crafting spreadsheets and other data collection/presentation methods Extensive knowledge of current and relevant markets Astral written and oral communication skills