11+ XGBoost Jobs in Pune | XGBoost Job openings in Pune
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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
Bengaluru (Bangalore), Mumbai, Gurugram, Pune, Hyderabad, Chennai
5 - 8 yrs
₹10L - ₹24L / yr
Drupal
PHP
JavascriptCustom Module & Theming Development
Amazon Web Services (AWS) +5 more
Job Title : Full Stack Drupal Developer
Experience : Minimum 5 Years
Location : Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon (Hybrid or On-site)
Notice Period : Immediate to 15 Days Preferred
Job Summary :
We are seeking a skilled and experienced Full Stack Drupal Developer with a strong background in Drupal (version 8 and above) for both front-end and back-end development. The ideal candidate will have hands-on experience in AWS deployments, Drupal theming and module development, and a solid understanding of JavaScript, PHP, and core Drupal architecture. Acquia certifications and contributions to the Drupal community are highly desirable.
Mandatory Skills :
Drupal 8+, PHP, JavaScript, Custom Module & Theming Development, AWS (EC2, Lightsail, S3, CloudFront), Acquia Certified, Drupal Community Contributions.
Key Responsibilities :
- Develop and maintain full-stack Drupal applications, including both front-end (theming) and back-end (custom module) development.
- Deploy and manage Drupal applications on AWS using services like EC2, Lightsail, S3, and CloudFront.
- Work with the Drupal theming layer and module layer to build custom and reusable components.
- Write efficient and scalable PHP code integrated with JavaScript and core JS concepts.
- Collaborate with UI/UX teams to ensure high-quality user experiences.
- Optimize performance and ensure high availability of applications in cloud environments.
- Contribute to the Drupal community and utilize contributed modules effectively.
- Follow best practices for code versioning, documentation, and CI/CD deployment processes.
Required Skills & Qualifications :
- Minimum 5 Years of hands-on experience in Drupal development (Drupal 8 onwards).
- Strong experience in front-end (theming, JavaScript, HTML, CSS) and back-end (custom module development, PHP).
- Experience with Drupal deployment on AWS, including services such as EC2, Lightsail, S3, and CloudFront.
- Proficiency in JavaScript, core JS concepts, and PHP coding.
- Acquia certifications such as:
- Drupal Developer Certification
- Site Management Certification
- Acquia Certified Developer (preferred)
- Experience with contributed modules and active participation in the Drupal community is a plus.
- Familiarity with version control (Git), Agile methodologies, and modern DevOps tools.
Preferred Certifications :
- Acquia Certified Developer.
- Acquia Site Management Certification.
- Any relevant AWS certifications are a bonus.
Read more
Pune
5 - 15 yrs
Best in industry
PythonTerraform
Senior SRE Developer
The Site Reliability Engineer (SRE) position is a software development-oriented role, focusing heavily on coding, automation, and ensuring the stability and reliability of our global platform. The ideal candidate will primarily be a skilled software developer capable of participating in on-call rotations. The SRE team develops sophisticated telemetry and automation tools, proactively monitoring platform health and executing automated corrective actions. As guardians of the production environment, the SRE team leverages advanced telemetry to anticipate and mitigate issues, ensuring continuous platform stability.
Responsibilities:
- ● Develop and maintain advanced telemetry and automation tools for monitoring and managing global platform health.
- ● Actively participate in on-call rotations, swiftly diagnosing and resolving system issues and escalations from the customer support team (this is not a customer-facing role).
- ● Implement automated solutions for incident response, system optimization, and reliability improvement.
Requirements: Software Development:
- ● 3+ years of professional Python development experience.
- ● Strong grasp of Python object-oriented programming concepts and inheritance.
- ● Experience developing multi-threaded Python applications.
- ● 2+ years of experience using Terraform, with proficiency in creating modules and submodules
- from scratch.
- ● Proficiency or willingness to learn Golang.
- Operating Systems:
- ● Experience with Linux operating systems.
- ● Strong understanding of monitoring critical system health parameters.
- Cloud:
- ● 3+ years of hands-on experience with AWS services including EC2, Lambda, CloudWatch, EKS, ELB, RDS, DynamoDB, and SQS.
- ● AWS Associate-level certification or higher preferred. Networking:
● Basic understanding of network protocols: ○ TCP/IP
○ DNS
○ HTTP
○ Load balancing concepts
Additional Qualifications (Preferred):
● Familiarity with trading systems and low-latency environments is advantageous but not required.
Read more
Bengaluru (Bangalore), Pune, Hyderabad, Noida
3 - 9 yrs
₹5L - ₹24L / yr
AS/400 Control Language
SCOBOL
IBM DB2
Requirements:
- Undergraduate degree or equivalent experience.
- Working knowledge of AS400-Cobol.
- Familiarity with CL and DB2
- Basic knowledge of theories, practices, and procedures in a function or skill.
- Willing to depend on others for instruction, guidance, or direction.
Read more
Bengaluru (Bangalore), Mumbai, Chennai, Pune, NCR (Delhi | Gurgaon | Noida)
8 - 12 yrs
₹12L - ₹17L / yr
Legal
law
corporate law
commercial contracts
Salesforce
+1 more
Manager RESPONSIBILITIES:
- Drafting, reviewing and negotiating of customer/subcontractor agreements in a wide range of industrie.
- Extensive experience with vetting, drafting and negotiating master service agreements, subcontractor, non-disclosure agreements, statement of works, change orders etc.
- Well versed in local commercial and corporate law with global outlook.
- Collaborate with various business functions in connection with driving deal negotiations.
- Post signing contract management, including amendments to existing contracts, business team support and counsel
- Train the other legal team members on negotiation/drafting skills
- Managing, mentoring and leading team members.
- 8+ years of law firm experience with a mid to large size law firm or IT company or similar industry with a focus on general corporate law. An understanding of IT and IT sourcing contracts a plus
- Strong knowledge and experience in negotiating high value commercial contracts. Candidate should possess experience in handling international clients and exposed to international laws
Read more
Pune, Hyderabad
2 - 10 yrs
₹6L - ₹15L / yr
React Native
iOS App Development
Android Development
HTML/CSSRESTful APIs
+11 more
Job Description:
- We are looking for a qualified Senior React Native Mobile App developer to join our Engineering team.
- You will be working with our engineers to develop and maintain high-quality mobile applications for both platforms, Android and iOS.
- Ultimately, you should be able to design and build the next generation of our mobile applications.
Job Responsibilities and Required Skills:
- Experience with React Js, React Native, JavaScript.
- Thorough understanding of React Native and its core Principles.
- Hands-on experience on React Native Framework minimum 3 years.
- Good Knowledge of HTML5, CSS.
- Familiarity with code versioning tools (Such as Git, SVN, or Mercurial)
- Familiarity with RESTful APIs
- Familiarity with modern front-end builds pipelines and tools.
- Experience with common front-end development tools such as Babel, Web pack, NPM, etc.
- Experience with Native Mobile app deployment on App store and google play store.
- An understanding of React Native best practices and a commitment to follow them
- Ability to work through new and difficult React Native issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of React Native applications.
- Work with native modules when required.
- Experience with Native Mobile app deployment on App store and google play store.
- Experience in JSON, XML, HTTPS and relevant protocols, AJAX, JavaScript, HTML5 and relevant tools/frameworks, Java and UDB DB2 database technologies.
- Collaborate with cross-functional teams to analyze, design, and ship new features.
Implement new technologies to maximize application adoption.
- Ability to understand business requirements and translate them into technical requirements.
- Ability to work within a team that has other developers, designers, and testers.
- Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
- Complete weekly sprints and participate in sprint retrospective and daily standups.
- Result-oriented and task-driven and taking complete ownership of the deliverables.
- Solid understanding of the full mobile development life cycle.
Envisionard Software Services Private Limited is an innovative company that works on products leveraging the latest technology to make people's life easy. We are working on multiple products which would be offered with innovation as a service platform.
Compensation Range:
Salary hike as per Industry Standards. (Increase on Current CTC based on relevant skills).
Read more
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
Data ScienceMachine Learning (ML)Natural Language Processing (NLP)
Computer Vision
Python +1 more
Job Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
- Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
- Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
- Present results, insights, and recommendations to senior management with an emphasis on the business impact.
- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
Read more
Pune
4 - 10 yrs
₹10L - ₹25L / yr
Amazon Web Services (AWS)Python
Django
FlaskAWS Lambda
+2 more
5+ year’s hands-on product development experience,
technical solutions implementation, architecture design, evaluation
and investigation in a cloud environment (specifically AWS and/or
Azure), preferably with IoT products.
● Working with smaller startups or mid-sized companies
Experience in one of following programming languages:
Python/Node.js
● Python and restful API frameworks. Experience of
working/integrating with cloud services providers like AWS
(preferred) / Azure / GCP
● Good understanding of HTML, CSS, Javascript & jQuery. Hands
on experience with React.js/React.native Experience in REST APIs,
SSO.
● Experience with server-side programming in a high volume
large system / application environment including the availability,
scalability, resiliency, and performance design patterns
● Management of hosting environment, including database
administration (preferably relational databases MySQL, Postgres etc.)
● Familiarity with software configuration management tools,
defect tracking tools, peer review tools and source control systems
(like git). Create and maintain good quality software documentation.
● Experience & willingness to work with overseas (e.g. USA)
customers and product management teams
● Experience building, leading, managing and mentoring highperformance engineering teams of 3-10 engineers
● Good verbal & written communication skills in English
technical solutions implementation, architecture design, evaluation
and investigation in a cloud environment (specifically AWS and/or
Azure), preferably with IoT products.
● Working with smaller startups or mid-sized companies
Experience in one of following programming languages:
Python/Node.js
● Python and restful API frameworks. Experience of
working/integrating with cloud services providers like AWS
(preferred) / Azure / GCP
● Good understanding of HTML, CSS, Javascript & jQuery. Hands
on experience with React.js/React.native Experience in REST APIs,
SSO.
● Experience with server-side programming in a high volume
large system / application environment including the availability,
scalability, resiliency, and performance design patterns
● Management of hosting environment, including database
administration (preferably relational databases MySQL, Postgres etc.)
● Familiarity with software configuration management tools,
defect tracking tools, peer review tools and source control systems
(like git). Create and maintain good quality software documentation.
● Experience & willingness to work with overseas (e.g. USA)
customers and product management teams
● Experience building, leading, managing and mentoring highperformance engineering teams of 3-10 engineers
● Good verbal & written communication skills in English
Read more
Navi Mumbai, Bengaluru (Bangalore), Pune
4 - 10 yrs
₹1L - ₹15L / yr
Apache Kafka
Kafka
JavaPython- 3-8+ years of experience programming in a backend language (Java / Python), with a good understanding of troubleshooting errors.
- 5+ years of experience in Confluent Kafka / 3+ years of experience in Confluent Kafka
- Cloud Kafka, Control Central, Rest Proxy, HA Proxy, Confluent Kafka Connect, Confluent Kafka Security features
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Remote, Pune, Kolkata, Kochi (Cochin), Hyderabad, Chennai, Shillong, Lucknow, Mumbai, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore), Indore, Ahmedabad, Jaipur, Ranchi, Raipur, Goa, Chandigarh
3 - 6 yrs
₹2.5L - ₹6L / yr
Content Writing
Content Marketing
Content Strategy
Web content
Creative Writing
+3 more
About:
Pangolin is a brand consultancy and creative agency. We help companies create positive change in the world by raising awareness through branding and inspiring through storytelling. We’re growing our team of creatives and strategists. Join us if you’re craving work that makes a real difference in the world, and a work culture that allows you to have a balanced life.
Role:
Creative Content Writer - B2B/B2C
Description:
Our clients have stories that need telling, we’re looking for storytellers who weave the right narrative for them. Are you comfortable telling stories of social impact, societal change, industrial evolution, and technological innovation? Are you well-versed with corporate communication, writing content for B2B marketing and sales, and enterprise content marketing? Have you worked on a large variety of content types - emails, brochures, flyers, social media content, website copy, sales presentations, webinar decks, articles, and whitepapers? Then you might be a good fit for this job.
Competencies:
- Ability to work on multiple projects simultaneously, effectively juggle diverse writing demands, and deliver on-time
- High retention capacity and the ability to understand client briefs to create effective content strategies.
- An unerring eye for detail and a knack for creativity.
Skills:
- Ability to interpret data to make recommendations for optimizing online content marketing.
- Unique, engaging, and varied writing styles with good proofreading and research skills.
- Knowledge of keywords, meta tags, SEO, and basic writing terminologies.
Experience:
- Understands marketing KPIs and ROI generated from content marketing programs, including an understanding of how content sources influence audience acquisition pipelines.
- Experienced in writing blogs, product portfolios, reports, web content, brochures, and other marketing collateral for B2B/B2C clients.
- Has a solid foundation in SEO, content strategy, analytics, copywriting, and copy editing.
Location and Type:
Remote, Full-time
Evaluation:
Portfolios will be checked for expertise in both B2B and B2C domains. Please share only samples of work done by yourself for actual clients. Share only creative work done for an actual company, strictly no SEO blogs or personal blogs. . Shortlisting will be followed by a video interview.
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Pune
0 - 3 yrs
₹2L - ₹6L / yr
Business Development
Inside Sales
Sales
Job role
• Understanding the company’s products intrinsically.
• Data-mining along with central database to source prospective clients.
• Make calls and set-up meetings to explain products/services.
• Holding meetings with prospective clients and informing them about products/services offered.
• Responsible for product marketing in Maharashtra.
• Responsible for overall Marketing and achieving monthly/quarterly/half-yearly & annual Targets.
Requirements
• MBA with specialisation in Marketing/Finance
• Strong inter-personal skills and comfort with English
• Ability to multi-task
• Comfortable with constant client interaction
• Flexible attitude & Sales/Marketing mentality
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