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Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
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.
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.
Read more
Pune
0 - 1 yrs
₹5000 - ₹8000 / mo
Content Writing
Web content
Content Marketing
Are you a versatile wordsmith in the making?
If yes, then we have a place for you in our pond!
Join us as a Content Writing Intern and be at the forefront of crafting compelling Content for driving outreach initiatives, and shaping engaging social media content that captivates audiences.
This is an exciting opportunity for a talented individual who wants to leave a lasting impact on our brand through content and develop valuable skills in a supportive environment.
Responsibilities:
- Collaborate with our Marketing Head to brainstorm, research, and generate captivating articles, blog posts, different landing page content, social media post content, and more.
- Curate compelling and error-free content that resonates with our target audience.
- Optimize content for SEO to drive organic traffic and improve search rankings.
- Learn and implement best practices for content marketing and strategy.
- Assist in content planning and content calendar management.
- Help maintain a consistent brand tonality throughout all collaterals.
Requirements:
- Experience: 0-6 months or currently pursuing a degree in any field, with excellent writing and grammar skills.
- Based in Pune.
- Work from the office.
- Passion for writing and storytelling, with willingness to learn and adapt.
- Strong research abilities.
- Basic understanding of SEO principles (bonus, but not required).
- A can-do attitude and a creative spirit.
- Knack for crafting engaging content that stands out.
- Willingness to thrive in a fast-paced, collaborative environment.
Join our team and make your mark on our brand's success!
What you get:
- This internship offers a unique opportunity to learn from industry professionals, gain hands-on experience, and contribute to impactful initiatives through writing.
- Certificate of internship after completion and a possibility of job opportunity depending on your progress and performance.
- Stipend as per industry standards.
- Gain valuable insights from experts who will guide and support your growth.
- Sharpen your writing, editing, and SEO skills in a real-world setting.
- Experience of working in a collaborative environment.
Ready to unleash your creativity and passion for writing?
Apply now and let's create something extraordinary together!
Read more
Indore, Pune, Bengaluru (Bangalore), Hyderabad, Chennai, Mumbai
4.5 - 8 yrs
₹3L - ₹9L / yr
Java06692
Microservices
Job Summary:
We are looking for a highly skilled and experienced Java Backend Developer with 4.5+ years of hands-on experience in backend development, system design, and API integration. You’ll play a key role in designing and building high-performance backend systems that are scalable, secure, and reliable. As a core member of the engineering team, you’ll collaborate closely with product owners, architects, and other developers to deliver quality solutions.
Responsibilities:
- Design and develop backend components, REST APIs, and microservices using Java and Spring Boot.
- Contribute to the architectural decisions and system design discussions.
- Write clean, efficient, and testable code following best practices.
- Optimize application performance, scalability, and reliability.
- Integrate third-party APIs and work with external systems.
- Participate in code reviews, mentor junior developers, and support the team’s technical growth.
- Work closely with DevOps to support CI/CD pipelines and deployments.
- Troubleshoot and resolve complex issues in production and non-production environments.
- Keep up with industry trends and advocate for best practices in backend development.
Required Skills:
- 4.5+ years of hands-on experience in backend development with Java (Java 8 or above).
- Strong expertise in Spring Framework (Spring Boot, Spring MVC, Spring Data).
- Experience designing and consuming RESTful APIs and working with microservices architecture.
- Solid understanding of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
- Proficient with version control systems like Git and tools like Maven or Gradle.
- Familiarity with Docker, containerization, and cloud platforms (AWS/GCP/Azure).
- Experience with unit testing and integration testing (JUnit, Mockito, etc.).
- Good knowledge of software design principles, data structures, and algorithms.
- Excellent problem-solving skills and attention to detail.
Read more
Pune
3 - 5 yrs
₹9L - ₹15L / yr
React Native
React.js
JavascriptTypeScript
RESTful APIs
+3 more
Avegen is a digital healthcare company empowering individuals to take control of their health and supporting healthcare professionals in delivering life-changing care. Avegen’s core product, HealthMachine®, is a cloud-hosted, next-generation digital healthcare engine for pioneers in digital healthcare, including healthcare providers and pharmaceutical companies, to deploy high-quality robust digital care solutions efficiently and effectively. We are ISO27001, ISO13485, and Cyber Essentials certified; and compliant with the NHS Data Protection Toolkit and GDPR.
Job Summary:
Senior Software Engineer will be responsible for developing, designing, and maintaining the core framework of mobile applications for our platform. This includes tasks such as creating and implementing new features, troubleshooting and debugging any issues, optimizing the performance of the app, collaborating with cross-functional teams, and staying current with the latest advancements in React Native and mobile app development. We are looking for exceptional candidates who have an in-depth understanding of React, JavaScript, and TypeScript, can create pixel-perfect UI, and are obsessed with creating the best experiences for end users.
Your responsibilities include:
- Architect and build performant mobile applications on both iOS and Android platforms using React Native.
- Work with managers to provide technical consultation and assist in defining the scope and sizing of work.
- Maintain compliance with standards such as ISO 27001, ISO 13485, and Cyber Essentials that Avegen adheres to.
- Lead configuration of our platform HealthMachine™ in line with functional specifications and development of platform modules with a focus on quality and performance.
- Write well-documented, clean Javascript/TypeScript code to build reusable components in the platform.
- Maintain code, write automated tests, and assist DevOps in CI/CD to ensure the product is of the highest quality.
- Lead by example in best practices for software design and quality. You will stay current with tools and technologies to seek out the best needed for the job.
- Train team members on software design principles and emerging technologies by taking regular engineering workshops.
Requirements:
- Hands-on experience working in a product company developing consumer-facing mobile apps that are deployed and currently in use in production. He/she must have at least 3 mobile apps live in the Apple App Store/Google Play Store.
- Proven ability to mentor junior engineers to realize a delivery goal.
- Solid attention to detail, problem-solving, and analytical skills & excellent troubleshooting skills.
- In-depth understanding of React and its ecosystem with the latest features.
- Experience in writing modular, reusable custom JavaScript/TypeScript modules that scale well for high-volume applications.
- Strong familiarity with native development tools such as Xcode and Android Studio.
- A positive, “can do” attitude who isn’t afraid to lead the complex React Native implementations.
- Experience in building mobile apps with intensive server communication (REST APIs, GraphQL, WebSockets, etc.).
- Self-starter, able to work in a fast-paced, deadline-driven environment with multiple priorities.
- Excellent command of version control systems like Git.
- Working in Agile/SCRUM methodology, understanding of the application life cycle, and experience working on project management tools like Atlassian JIRA.
- Good command of the Unix operating system and understanding of cloud computing platforms like AWS, GCP, Azure, etc.
- Hands-on experience in database technologies including RDBMS and NoSQL and a firm grasp of data models and ER diagrams.
- Open source contributions and experience developing your own React Native wrappers for native functionality is a plus.
Qualification:
BE/BTech/MS in Information Technology, Computer Science, or a related discipline.
Read more
Pune
3 - 5 yrs
Best in industry
PythonReact.js
MongoDB
Amazon Web Services (AWS)About Jeeva.ai
At Jeeva.ai, we're on a mission to revolutionize the future of work by building AI employees that automate all manual tasks—starting with AI Sales Reps. Our vision is simple: "Anything that doesn’t require deep human connection can be automated & done better, faster & cheaper with AI." We’ve created a fully automated SDR using AI that generates 3x more pipeline than traditional sales teams at a fraction of the cost.
As a dynamic startup we are backed by Alt Capital (founded by Jack Altman & Sam Altman), Marc Benioff (CEO Salesforce), Gokul (Board Coinbase), Bonfire (investors in ChowNow), Techtsars (investors in Uber), Sapphire (investors in LinkedIn), Microsoft with $1M ARR in just 3 months after launch, we’re not just growing - we’re thriving and making a significant impact in the world of artificial intelligence.
As we continue to scale, we're looking for mid-senior Full Stack Engineers who are passionate, ambitious, and eager to make an impact in the AI-driven future of work.
About You
- Experience: 3+ years of experience as a Full Stack Engineer with a strong background in React, Python, MongoDB, and AWS.
- Automated CI/CD: Experienced in implementing and managing automated CI/CD pipelines using GitHub Actions and AWS Cloudformation.
- System Architecture: Skilled in architecting scalable solutions for systems at scale, leveraging caching strategies, messaging queues and async/await paradigms for highly performant systems
- Cloud-Native Expertise: Proficient in deploying cloud-native apps using AWS (Lambda, API Gateway, S3, ECS), with a focus on serverless architectures to reduce overhead and boost agility..
- Development Tooling: Proficient in a wide range of development tools such as FastAPI, React State Management, REST APIs, Websockets and robust version control using Git.
- AI and GPTs: Competent in applying AI technologies, particularly in using GPT models for natural language processing, automation and creating intelligent systems.
- Impact-Driven: You've built and shipped products that users love and have seen the impact of your work at scale.
- Ownership: You take pride in owning projects from start to finish and are comfortable wearing multiple hats to get the job done.
- Curious Learner: You stay ahead of the curve, eager to explore and implement the latest technologies, particularly in AI.
- Collaborative Spirit: You thrive in a team environment and can work effectively with both technical and non-technical stakeholders.
- Ambitious: You have a hunger for success and are eager to contribute to a fast-growing company with big goals.
What You’ll Be Doing
- Build and Innovate: Develop and scale AI-driven products like Gigi (AI Outbound SDR), Jim (AI Inbound SDR), Automate across voice & video with AI.
- Collaborate Across Teams: Work closely with our Product, GTM, and Engineering teams to deliver world-class AI solutions that drive massive value for our customers.
- Integrate and Optimize: Create seamless integrations with popular platforms like Salesforce, LinkedIn, and HubSpot, enhancing our AI’s capabilities.
- Problem Solving: Tackle challenging problems head-on, from data pipelines to user experience, ensuring that every solution is both functional and delightful.
- Drive AI Adoption: Be a key player in transforming how businesses operate by automating workflows, lead generation, and more with AI.
Read more
sikar, Udaipur, Alwar, Pune, Jaipur, Hyderabad
2 - 6 yrs
₹10L - ₹15L / yr
Sales
Operations
Sales and operations planning
Sales strategy
Who Are We?
With millions of transactions each month, Animall is one of the world’s fastest growing Agri-tech companies. We continue to re-imagine and re-create the dairy ecosystem in India, and each team member will have significant ownership of the key components that go into this mission! Till now, Animall has primarily focused on building a peer-to-peer cattle trading platform and the journey of Animall has been very encouraging and promising - we have reached more than 7 million dairy farmers within a short span of 2 years. More than 300,000 cattle have been sold through Animall which amounts to 3000 Crore Rs of GTV and is now at a monthly run rate of 320 Crore Rs GTV. Our dairy farmers
have rated us 4.6 out of 5 and 60% of our dairy farmers refer Animall to at least one friend every month.
What you will do
The cluster manager will be a mini-CEO/owner of his allocated cluster. He will be handling operations & sales of all the farms in his cluster with his team of farm managers & BDEs.
Your role will be a part of Hyperlocal farm team where we tend to solve for the best quality cattle. You will be responsible for top-line growth of your respective cluster (5-6 districts) leading a team of 7-8 farms i.e., a team of 150-200. You will be looking after your cluster’s sales and operations ensuring the right PnL for the farms with the aggression of a sales leader while thinking strategically to achieve diverse goals and tremendous growth. As a Cluster Head you will be accountable for demand
generation activities by carrying out farmer level direct and targeted connects in 4-300 villages under each cattle farm. These cattle farms are located in tier II and tier III cities while catering to a catchment area of 4-300 villages per cattle farm.
Roles & Responsibilities:
You will be responsible to run on ground operations of 3 -4 farms within
his/her territory and for handling a monthly revenue to the tune of 2-3 Cr.
Build and nurture a team of 100+ people consisting of on ground sales
executives and their team leaders in the territory
Handling end to end business operations at state level which would require extensive travel to the farms across state
Creating a strategic road map and execution plan of the farm operations across the cluster
Ensuring that the monthly, quarterly and yearly business targets are achieved as per annual operating plan
Handling escalations/concerns raised at various levels within organisation or from other stakeholders
Recruiting and mentoring on the ground staff both on-roll as well as off-roll basis the hiring requirement of the farm
Working closely with internal as well as external stakeholders and also
responsible for preparation and reporting of daily operation report for the
category leaders
With millions of transactions each month, Animall is one of the world’s fastest growing Agri-tech companies. We continue to re-imagine and re-create the dairy ecosystem in India, and each team member will have significant ownership of the key components that go into this mission! Till now, Animall has primarily focused on building a peer-to-peer cattle trading platform and the journey of Animall has been very encouraging and promising - we have reached more than 7 million dairy farmers within a short span of 2 years. More than 300,000 cattle have been sold through Animall which amounts to 3000 Crore Rs of GTV and is now at a monthly run rate of 320 Crore Rs GTV. Our dairy farmers
have rated us 4.6 out of 5 and 60% of our dairy farmers refer Animall to at least one friend every month.
What you will do
The cluster manager will be a mini-CEO/owner of his allocated cluster. He will be handling operations & sales of all the farms in his cluster with his team of farm managers & BDEs.
Your role will be a part of Hyperlocal farm team where we tend to solve for the best quality cattle. You will be responsible for top-line growth of your respective cluster (5-6 districts) leading a team of 7-8 farms i.e., a team of 150-200. You will be looking after your cluster’s sales and operations ensuring the right PnL for the farms with the aggression of a sales leader while thinking strategically to achieve diverse goals and tremendous growth. As a Cluster Head you will be accountable for demand
generation activities by carrying out farmer level direct and targeted connects in 4-300 villages under each cattle farm. These cattle farms are located in tier II and tier III cities while catering to a catchment area of 4-300 villages per cattle farm.
Roles & Responsibilities:
You will be responsible to run on ground operations of 3 -4 farms within
his/her territory and for handling a monthly revenue to the tune of 2-3 Cr.
Build and nurture a team of 100+ people consisting of on ground sales
executives and their team leaders in the territory
Handling end to end business operations at state level which would require extensive travel to the farms across state
Creating a strategic road map and execution plan of the farm operations across the cluster
Ensuring that the monthly, quarterly and yearly business targets are achieved as per annual operating plan
Handling escalations/concerns raised at various levels within organisation or from other stakeholders
Recruiting and mentoring on the ground staff both on-roll as well as off-roll basis the hiring requirement of the farm
Working closely with internal as well as external stakeholders and also
responsible for preparation and reporting of daily operation report for the
category leaders
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Pune, Mumbai
4 - 8 yrs
₹10L - ₹14L / yr
NodeJS (Node.js)JavascriptMongoDB
Express- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing customer-facing UI and back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
Node.js Developer Requirements:
- Bachelor's degree in computer science, information science, or similar.
- At least two years' experience as a Node.js developer.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
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Remote, pune
2 - 3 yrs
₹4L - ₹5L / yr
JavaJ2EE
Spring BootHibernate (Java)
Looking for a highly skilled computer programmer with 2-3 years of experience who is comfortable with both front and back end programming. Developers are responsible for developing and designing front end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties.
Full stack developers will be required to see out a project from conception to final product, requiring good problem solving skills and attention to detail.
Developer Responsibilities:
Developing front end website as per design
Designing user interactions on web pages
Developing back-end website applications
Creating servers and databases for functionality
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features
Seeing through a project from conception to finished product
Designing and developing APIs
Meeting both technical and consumer needs
Staying abreast of developments in web applications and programming languages.
Developer Requirements:
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript
Familiarity with JavaScript frameworks such as Next / React
Proficiency with server-side languages such as Java, Spring Boot, Hibernate
Familiarity with Unit testing, logging, monitoring frameworks
Familiarity with database technology such as MySQL.
Able to interact with business team
Good problem-solving skills
Attention to detail
Full stack developers will be required to see out a project from conception to final product, requiring good problem solving skills and attention to detail.
Developer Responsibilities:
Developing front end website as per design
Designing user interactions on web pages
Developing back-end website applications
Creating servers and databases for functionality
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features
Seeing through a project from conception to finished product
Designing and developing APIs
Meeting both technical and consumer needs
Staying abreast of developments in web applications and programming languages.
Developer Requirements:
Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript
Familiarity with JavaScript frameworks such as Next / React
Proficiency with server-side languages such as Java, Spring Boot, Hibernate
Familiarity with Unit testing, logging, monitoring frameworks
Familiarity with database technology such as MySQL.
Able to interact with business team
Good problem-solving skills
Attention to detail
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Pune, Ahmedabad, Bengaluru (Bangalore)
3 - 7 yrs
₹0L - ₹7L / yr
PythonOdoo (OpenERP)
TensorFlow
Machine Learning (ML)Data ScienceResponsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.
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Pune
3 - 7 yrs
₹8L - ₹16L / yr
React.jsJavascript
HTML/CSSUser Interface (UI) Development
MUST Have
- 4-6 years of experience in application software development ( UI stack development )
- Sound knowledge of computer science fundamentals
- Proven ability to design and implement a complex (scalable and distributed ) application software on linux platform
- Hands on any of the language reactjs, Javascript
- Expert in software processes and tools ( Agile, CI/CD, Git, Jenkins )
Good to Have
- Experience in application migration to cloud
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Pune
2 - 5 yrs
₹2L - ₹5L / yr
Xamarin
Mobile App Development
XamarinForms
Job Summary
We're looking for a Xamarin developer to join our team. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.
PREFERENCE WILL BE GIVEN FOR IMMEDIATE JOINERS OR LESS THAN 30 DAYS NOTICE PERIOD.
Responsibilities and Duties
Develop complex mobile applications with the help of Xamarin Forms
Excellent knowledge of .Net
Excellent Knowledge of memory management
Excellent understanding of iOS and Android limitations
Integrate web services developed in REST
Develop quality products and deliver them on schedule
Excellent team player and collaborate with other team members to complete work on timeline with quality
Analyse and implement the requirements given to the team
Cultivate and disseminate knowledge of application development best practice
Internally motivated, able to work proficiently both independently and in a team environment
Manage modules and work assigned at their level smartly
Able to do basic unit testing of the work assigned, to ensure the correct working
Have a good understanding of middleware or database
Required Experience, Skills and Qualifications
1 to 4 years experience in Xamarin Forms development
Excellent knowledge of C#, Xamarin Forms, MVVM, Android, iOS and UWP, .Net Framework
Excellent knowledge of Object oriented programming and its concept
Experienced in source control and collaboration tools like GIT and TFS
Strong troubleshooting and diagnostic skills
Good knowledge of XAML and C# for implementing designs and themes nicely
Good knowledge of using tools like Visual Studio
Qualification: Bachelor's Degree in computer science or equivalent experience
Skills:- Xamarin, Model-View-View-Model (MVVM) and IOS, Mobile App Development and RESTful APIs
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