11+ FDA Jobs in Pune | FDA Job openings in Pune

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.

We have a requirement in our company for below position: Role 1: Software Engineer Experience: 0 to 1 yrs Platform/Tech:.NET, PHP, Xamarin.Mac, JavaScript Educational Qualification: BE/BTech (Computer/IT)

Summary
We are looking for talented front-end developers who can help us in enabling our customers deliver excellent experiences to end users. As a customer experience management firm , we are constantly enhancing user experiences in several of our customers' online platforms. The role of the front-end development team is crucial in realizing our design solutions without any loss in translation. We are looking for front-end leads who can build and deliver the best in class digital experiences through the right use of frameworks , technologies and code.

Responsibilities
Design and Develop web / mobile applications using front-end technologies such as React,
Angular, CSS , JS , HTML and many more.
Implement applications that have high standards of quality and the best of the performance.
Translate UX / UI designs from our design teams into high quality code without any loss in
translation.
Design and implement optimised components, modules and applications using best practises of front-end development and clean coding standards
Establish continuous quality reviews and best practises to maintain higher levels of coding
standards
Guide the team in building solutions with high standards of quality and performance through technical design reviews
Design API definitions optimised for front-end and work closely with backend team for
integration.
Deliver code with maximum coverage using unit-testing frameworks and testing practises such as TDD .
Optimise code continuously to improve quality , maintainability and performance
Work closely with solutions and architecture teams in solution design and contribute in exploring new frameworks, tools and products

Qualification and Experience
5 to 8 years of experience in front-end development of web / mobile applications with at least 2 yrs as a lead. Experience in backend technology stacks will be an advantage

Requirements
Strong proficiency in JavaScript .Strong skills in HTML , CSS , SCSS and any CSS Frameworks .
Thorough understanding of any front-end frameworks like React , Angular or any other along with its core principles
Experience with data structure libraries , state managements, functional / reactive programming .
Experience with newer specifications of ES6. Experience with RESTful APIs integration
Knowledge of modern authorisation mechanisms, such as JSON Web Token. Familiarity with modern front-end build pipelines and tools
Experience with common front-end development tools such as Babel, Webpack, NPM, etc. A knack for benchmarking and optimisation

About Moonraft
We are here to advance the human experience through design-driven innovation. Design, to us, is all about creating new meanings, while art is about self-expression and emotive appeal. Bringing these two creative disciplines together and operating at their intersection with business and technology, we drive business innovations with differentiating customer experience. We place the human at the centre, bringing quantitative and qualitative techniques together to develop consumer insights. Our techno-creative team, bridging consumer insights, business understanding, and advanced technology skills, then builds humanistic technology solutions.

We believe experimentation is at the core of every innovation. Radical innovation, in our view, is just an event recognised in hindsight when a number of trial-and-error attempts spark off a breakthrough. Our approach embraces rapid prototyping and empirical evidence in everything we do. As the name says, we are Moonraft Innovation Labs, driving innovation through experimentation.

"Rafters", who inhabit Moonraft, recognize ideas as the boss. They live by imagination, simplicity, and speed. Our egalitarian culture and environment are designed for rafters to thrive and deliver elegant solutions for complex problems.

Must Have Skills :

• Hand on experience on .NET core
• Experience in C#
• Looking for experience into No Sql.

Other Skill set required :

• 3+ years of building sophisticated, world-class, highly reliable multi-tenant software systems that have stood the test of time.
• From being highly proficient to being an expert in at least one OOPS language, SOLID principles, and design patterns, C#, Dotnet core, WebAPI, NoSQL.
• Experience with microservices architecture OR distributed systems.
• Strong analytical and problem-solving skills.
• Ability to work independently.

NextGen AVP Role - Pune Location

 

Job Description

Experience:

Should have subject matter expertise in cloud platforms (AWS, Azure & GCP), and next generation technologies

Should possess experience in designing and delivering architectural solutions for mission critical applications using cloud native development and architecture and cloud migration methodologies and tools

Demonstrated as a trusted advisor for customers on various Next Gen technology solution options and presented strong value proposition to win the deals

Experience is building differentiated solution & service offerings in building Next Gen Application development

Extensive experience in Presales, Solutioning, Delivery, People Management, Global experience and should be in a P&L role

Have experience leading complex, global solution implementations programs

Technology Experience:

Cloud Native App development, Microservices based enterprise grade application development, Serverless Computing, Containerization technologies

AWS, Azure, GCP and aPaaS platforms like Cloud Foundry

DevSecOps – CI/CD tool chain, API Management platforms

Database technologies – Structured & Unstructured data storage platforms

Expectations:

Responsible to formulate business development strategies for NextGen Application Development Technology practice

Create differentiated solution & Services offerings and translate into revenue growth

Drive strategic account growth and be responsible for the delivery of consulting services to our customers

Actively search for opportunities to expand business within existing accounts and help win new clients

Building new technology capabilities, and building team competencies

Marketing of technology & domain solutions / service offerings to internal/external stakeholders

Manage business relationship with the technology partners & start-up eco systems and demonstrate edge over competition

 

Person with hands on experience on Digital Marketing. GA, SEO, Adwords, Affiliate Marketing etc,