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We are looking for a Manager - Government Liaison for one of the renowned NGOs in Pune.

Role - Manager (Government Liaison)
Experience - 5+ years
Job Location - Pune (Open to travel)

About our Client :-

Our client is a Communities Foundation that works in the area of skilling and livelihoods for underserved youths. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation.

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.

About Tweeny:
We are a team of passionate software Ninjas who design scalable software solutions.

We solve some of the interesting problems for our clients in a variety of sectors. We are also developing our own products where we are seeking bright minds with creative thinking.
We are a fast-paced and young team of fun-loving engineers. For us, work is not just a job but it's a way to grow & learn together while doing what we love.

We are looking to hire on MERN stack position (full stack engineering profile) although if you have worked only on either ReactJS/Native or NodeJS stack, please do apply as well.

We are hiring for a few specific teams at our organization that is building utility and functional web application experiences (as marketplace applications) that solving some interesting problems for remote workforce management.

Requirements:

• 2-5 years of experience working with React JS, Node JS, and other advanced JavaScript libraries and frameworks.
• Ability to understand business requirements and translate them into technical requirements.
• Strong software engineering skills with the proven ability to build, deploy, and maintain a scalable codebase.
• Experience working with remote data using RESTful APIs and JSON.
• Strong understanding of development tools and technologies like ES6, Redux, Immutable, JSX Components, Bootstrap, HTML, CSS, Git, NPM, Express.
• Strong understanding of any build tool like Webpack, Babel, Gulp, or similar.
• Strong affinity for benchmarking and performance optimization.
• Experience deploying applications to the cloud and setting up CI/CD is a plus.
• Experience building container images using tools like Docker is a plus.
• Ability to learn new languages and technologies.
• B.E/B.Tech in Computer Science, Engineering, or a related field.

Responsibilities:

• Produce clean, efficient code based on specifications
• Integrate software components and third-party programs
• Verify and deploy programs and systems
• Troubleshoot, debug and upgrade existing software
• Recommend and execute improvements for the software development and software delivery life cycle
• Ensure the highest standard of performance, quality, and responsiveness of the applications.

Job Summary- We are looking for an enthusiastic and energetic individual to join as a Farm Associate. You’ll regularly meet farmers and visit their farms. You’ll also work with agronomy-technical-officers to develop advanced package of practices for crops. Responsibilities and Duties- Meeting farmers and visiting farms Interact with farmers through multiple media and solve problems Recording data about crop growth and suggesting agronomy practices Continually advance your agronomy knowledge Collaborate with senior agronomy-technical-officers to develop package of practices for crops Required Experience, Skills and Qualifications- Graduate degree in Agriculture Ability to interact with farmers in Marathi language Familiarity with modern agronomy practices especially – integrated nutrient and pest management Willingness to go through online or executive courses Benefits- National and international (online) courses in relevant field Allowance would be provided for all company related travel Opportunity to work with qualified agronomists

The hunt is for an Python Lead Developer with the ability to manage effective relationships with a wide range of stakeholders (customers & team members alike). Incumbent will demonstrate personal commitment and accountability to ensure standards are continuously sustained and improved both within the internal teams, and with partner organizations and suppliers. We at Nitor Infotech a Product Engineering Services company are always on hunt for some best talents in the IT industry & keeping with our trend of “What next in IT”. We are scouting for result oriented resources with passion for product, technology services, and creating great customer experiences. Someone who can take our current expertise & footprint of Nitor Infotech Inc., to an altogether different dimension & level in tune with the emerging market trends and ensure “Brilliance @ Work” continues to prevail in whatever we do. Nitor Infotech works with global ISV’s to help them build and accelerate their product development. Nitor is able to do so because of the fact that product development is its DNA. This DNA is enriched by its 10 years of expertise, best practices and frameworks & Accelerators. Because of this ability Nitor Infotech has been able to build business relationships with product companies having revenues from $50 Million to $1 Billion. Skill Matrix: Python (proficient) Web frameworks: Django (Preferred), Flask, Tornedo. GraphQL (Good To have) Postgres/SQL - Basic SQL querying DevOps (CI & CD knowledge) Cloud technologies: AWS. Azure (Good To Have) Required Experience, Skills and Qualifications Job Description: Experience on Python Development projects. Should have worked on any of the Web frameworks: Django (Mostly preferred), Flask, Tornedo. Exp with any of the Cloud technologies: AWS. Azure.(Added advantage) Container frameworks: Docker, Kubernetes.(workign knowledge) Excellent knowledge of design patterns and OOPS. DB: Exp (Must) with Postgres / MySQL Exp with any NoSQL DB (Mongo DB), Elastic Search, Apache solr.(Added advantage) Strong understanding of data structures and Algorithms. Experience of the full s/w development lifecycle: requirements gathering , functional specification authoring, development, testing and development. Strong understanding of SQL queries and interaction with DB Desired experience with SQLAlchemy, and (Postgressql/MySQL/MSSQL) / NoSQL (MongoDB etc.) Desired experience in Storage/Virtualization/Networking/Cloud Domain. (Added advantage) Good understanding of Design Patterns Strong problem solving and analytical skills Adaptability to switch between technologies. Key Competencies Possess good understanding of technology and development processes. High energy levels, right attitude and pleasing personality. Analysis and decision making. Polished Communications skills Excellent planning and Control skills