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Java- Identity Access Management (IAM)/SailPoint IIQ Implementation and Governance
- Java development
- Role -Base Access Control (RBAC)
- Custom / OOTB connector development experience
- Integration experience with JDBC, Active Directory, ServiceNow, Mainframe ACF2
Python
Flask
Kubernetes- 5+ years of experience
- FlaskAPI, RestAPI development experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
Job Summary:
We are looking for a dynamic and detail-oriented Procurement & Operations Executive to oversee vendor management, procurement, inventory control, event coordination, and school partnerships. The ideal candidate will have strong negotiation skills, event planning expertise, and experience handling tenders and logistics.
Key Responsibilities:
Procurement & Vendor Management:
- Source, negotiate, and manage vendors for book printing and other procurement needs.
- Ensure timely and quality delivery of printed materials and essential products.
- Build and maintain strong relationships with suppliers and service providers.
Event & Fair Management:
- Plan and execute participation in book fairs, exhibitions, and educational events.
- Manage stall setup, visitor engagement, and on-ground event operations.
- Oversee event logistics, inventory, and promotional materials.
- Prepare post-event reports and performance evaluations.
School & Field Visits:
- Visit schools to build partnerships and promote Bynaric Systems' offerings.
- Engage with educators and administrators to present products and services.
- Identify and secure new collaboration opportunities.
Tender Management & Documentation:
- Identify relevant tenders and manage end-to-end submission processes.
- Prepare accurate documentation and ensure compliance with tender requirements.
- Maintain a database of past submissions and results for future reference.
Inventory & Logistics Management:
- Maintain accurate records of inventory, including books and educational materials.
- Optimize storage solutions for efficiency and safety.
- Coordinate logistics for deliveries, pickups, and returns.
- Monitor and track shipments to ensure timely delivery.
Customer Engagement & Calls:
- Handle inbound and outbound customer calls related to orders and inquiries.
- Provide excellent customer service and resolve issues promptly.
General Operations & Field Work:
- Perform fieldwork related to operational or marketing activities.
- Ensure smooth execution of ad hoc tasks and projects assigned by management.
Key Performance Indicators (KPIs):
- Procurement Efficiency: Timely sourcing and quality delivery of materials.
- Event Success: Effective participation in book fairs, exhibitions, and school visits.
- School Partnerships: Growth in the number of active school collaborations.
- Tender Wins: Success rate in submitted tenders.
- Inventory Accuracy: Low error rate in inventory management and timely deliveries.
- Customer Satisfaction: Positive feedback and improved complaint resolution time.
- Operational Efficiency: Timely execution of fieldwork and assigned tasks.
Key Competencies Required:
- Strong negotiation and vendor management skills.
- Event planning and execution expertise.
- Excellent communication and interpersonal skills.
- Proficiency in inventory and logistics management tools.
- Understanding of tendering processes and documentation.
- Problem-solving abilities and adaptability for fieldwork.
How to Apply:
Interested candidates can apply by sending their updated resumes to hr@bynaric(dot)in Subject : Procurement & Operations Executive
Python
Machine Learning (ML)The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )
About
Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.
The Engineering Challenge
“Re-imaging credit and payments from First Principles”
Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.
Purpose of Role :
- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.
CANDIDATE PROFILE :
- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.
We are looking for someone who:
- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.
- Identify & deliver appropriate analytics solutions
- Experienced in Analytics team management
Essential Duties and Responsibilities :
- Responsible for delivering high quality analytical and value added services
- Responsible for automating insights and proactive actions on them to mitigate collection Risk.
- Work closely with the internal team members to deliver the solution
- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution
- Use analysis and customer insights to develop value propositions for customers
- Maintain and enhance the suite of suitable analytics products.
- Actively seek to share knowledge within the team
- Share findings with peers from other teams and management where required
- Actively contribute to setting best practice processes.
Knowledge, Experience and Qualifications :
Knowledge :
- Good understanding of collection analytics preferably in Retail lending industry.
- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends
- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.
- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.
- Understanding of decisioning and portfolio management in banking and financial services would be added advantage
- Understanding of credit bureau would be an added advantage
Experience :
- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.
- Experience on working on Collection analytics is must
- Experience on handling large data volumes using data analysis tools and generating good data insights
- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences
- Excellent communication, presentation and writing skills Strong interpersonal skills
- Motivated to meet and exceed stretch targets
- Ability to make the right judgments in the face of complexity and uncertainty
- Excellent relationship and networking skills across our different business and geographies
Qualifications :
- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college
Java
Spring BootExp - 2 to 4 Yrs
Location - Viman Nagar, Pune, (WFO)
Skills - Java+Spring Boot
Budget - 50 to 70K PM
Technical Customer Support
- Ability to work in team environment
- Familiarity with customer service software (CRM,ticketing systems) for chat and call process.
- Ability to work flexible hours ,including evenings and weekends.
- Earlier experience into chat and call support process.(Technical support experience)
- Customer oriented approach and ability to adapt different situations
- Hands on experience on MS office suite.
- Ability to multitask and problem solving skills
- 0-2 years of experience
- Excellent communications skills written and verbal.
Responsible for :
- Respond to customer queries via chat or phone in a timely and professional manner.
- Proactively responding on tickets or issues.
- Resolve customer queries or issues with required solutions
- Coordinate with internal teams for query resolution.
- Provide required information about products and services offered by Provakil.
- Update customer information and issue details in ticketing platform
- Analysing the challenges faced by clients and passing the details to technical team.
- Should be aware of product feature updates.
- Flexible in working shifts
Requirement:
- Respond to customer queries or technical issues via email in a timely and professional manner.
- Resolve customer complaints or issues by providing appropriate solution or alternatives.
- Should have knowledge of API integration, cloud based tool.
- Interact with cross team to get the issues resolved.
- Hands on experience on CRM or any ticketing system.
- Should be able to lead meetings and training sessions.
- Worked in customer facing environment.
- Troubleshoot technical issues at level 1 and level 2 .
- Handled customer escalations and worked on escalation matrix
- Provide weekly status on ticket received and resolved
Additionally,
Excellent communication verbal and written.
Handled enterprise client issues in previous experience.
Bachelor’s degree in CS or IT or related field.
Data ScienceMachine Learning (ML)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.
Java- Strong Core Java
- Good in Swing
- Good team leading experience
- Good communication
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)We are looking for Full Stack Developers. Candidate should be hands on with front end and backend Java technologies.( 2-10 years of exp).Designation will be Java Developer, Sr.Java Developer and Java Lead basis the years of experience.
We are Looking for below skills,
Must Have’s
- JSP, JS, Servlets, CSS, HTML, JQUERY
- MVC, Struts, Application Servers ( JBOSS/WebSphere), REST Services
- OOPS Concepts & Core JAVA
- Basic SQL
- Good Analytical Skills
Good to Have
- REACT, ANGULAR
- Explain Plan/ Query Tuning
- Jenkins, Maven
Data ScienceMachine Learning (ML)Python
R ProgrammingSpecialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification
Senior Analytics Consultant- Responsibilities
- Understand business problem and requirements by building domain knowledge and translate to data science problem
- Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
- Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
- Prototype and experiment the solution to successfully demonstrate the value
Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines - Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
- Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives
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