Machine Learning (ML)
Python
Data Science- Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
Requirements
- 2 - 4 years of relevant experience in Data science.
- Preferred education: Bachelor's degree in a technical field or equivalent experience.
- Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
- Experience in risk and credit score domains preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Kaleidofin
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PythonAbout the Company:
Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
Why Gruve:
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
Position summary:
We are seeking a Senior Software Development Engineer – Data Engineering with 5-8 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions.
Key Roles & Responsibilities:
- Design, develop, and optimize ETL/ELT pipelines using Apache Spark, PySpark, Databricks, and Snowflake.
- Implement real-time and batch data processing workflows in cloud environments (AWS, Azure, GCP).
- Develop high-performance, scalable data pipelines for structured, semi-structured, and unstructured data.
- Work with Delta Lake and Lakehouse architectures to improve data reliability and efficiency.
- Optimize Snowflake and Databricks performance, including query tuning, caching, partitioning, and cost optimization.
- Implement data governance, security, and compliance best practices.
- Build and maintain data models, transformations, and data marts for analytics and reporting.
- Collaborate with data scientists, analysts, and business teams to define data engineering requirements.
- Automate infrastructure and deployments using Terraform, Airflow, or dbt.
- Monitor and troubleshoot data pipeline failures, performance issues, and bottlenecks.
- Develop and enforce data quality and observability frameworks using Great Expectations, Monte Carlo, or similar tools.
Basic Qualifications:
- Bachelor’s or Master’s Degree in Computer Science or Data Science.
- 5–8 years of experience in data engineering, big data processing, and cloud-based data platforms.
- Hands-on expertise in Apache Spark, PySpark, and distributed computing frameworks.
- Strong experience with Snowflake (Warehouses, Streams, Tasks, Snowpipe, Query Optimization).
- Experience in Databricks (Delta Lake, MLflow, SQL Analytics, Photon Engine).
- Proficiency in SQL, Python, or Scala for data transformation and analytics.
- Experience working with data lake architectures and storage formats (Parquet, Avro, ORC, Iceberg).
- Hands-on experience with cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
- Experience in workflow orchestration tools like Apache Airflow, Prefect, or Dagster.
- Strong understanding of data governance, access control, and encryption strategies.
- Experience with CI/CD for data pipelines using GitOps, Terraform, dbt, or similar technologies.
Preferred Qualifications:
- Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
- Experience in BI and analytics tools (Tableau, Power BI, Looker).
- Familiarity with data observability tools (Monte Carlo, Great Expectations).
- Experience with machine learning feature engineering pipelines in Databricks.
- Contributions to open-source data engineering projects.
React Native
iOS App Development
Android Development Proven experience building Mobile Apps using React Native.
Build pixel-perfect, buttery smooth UIs across both mobile platforms.
Leverage native APIs for deep integrations with both platforms.
Management of the application and its integration with back-end services.
Astute sense of User Interface and User Experience design
Managing large sets of data transfer between server and App.
Offline usage with sync capabilities.
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
Reach out to the open source community to encourage and help implement mission-critical
software fixes
Maintain code and write automated tests to ensure the product is of the highest quality.
Transition existing React web apps to React Native.
Rock solid at working with third-party dependencies and debugging dependency conflicts.
Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
Ability to write well-documented, clean Javascript code
Familiarity with native build tools, like XCode, Gradle
Understanding of REST APIs, the document request model, and offline storage
Experience with automated testing suites like Jest
Highly proficient in rendering components with Native APIs
Working experience with APIs and third-party libraries
Experience with FCM or similar.
Highly proficient in one or more libraries (e.g. Redux, React Router, etc) for state managing and
routing in addition to React.
Experience using Git as a control System
Responsibilities:
1. Candidate Sourcing:
• Utilize various recruitment channels to source potential candidates, including online job boards, social media, referrals, and professional networks.
• Review resumes and applications to identify qualified candidates who meet the position requirements.
• Conduct initial screening interviews to assess candidate suitability and gather relevant information.
2. Placement Coordination:
• Collaborate with hiring managers to understand their staffing needs and develop job descriptions and specifications.
• Coordinate interview schedules and facilitate communication between candidates and hiring managers.
• Manage the placement process, including conducting background checks, reference checks, and pre-employment assessments.
• Ensure timely feedback to candidates regarding their application status and assist in making job offers.
3. Onboarding Support:
• Assist with new hire onboarding, including collecting and verifying employment documents, conducting orientation sessions, and facilitating the completion of necessary paperwork.
• Coordinate with relevant departments to ensure new employees have the necessary resources and equipment on their first day.
• Serve as a point of contact for new hires during their initial period, addressing their queries and providing support as needed.
4. Recruitment Administration:
• Maintain accurate and up-to-date candidate records in the google sheets or HR database.
• Prepare recruitment-related reports and metrics for HR management and hiring managers.
• Contribute to the continuous improvement of recruitment processes, suggesting and implementing enhancements where appropriate.
• Stay updated on industry trends and recruitment best practices to enhance the efficiency and effectiveness of the placement process.
Qualifications:
• Bachelor's degree in Human Resources, Business Administration, or a related field (or equivalent experience).
• Previous experience in HR recruitment, placement coordination, or talent acquisition is preferred.
• Strong interpersonal and communication skills, both written and verbal.
• Excellent organizational and time management abilities.
• Ability to maintain confidentiality and handle sensitive information.
• Attention to detail and accuracy in handling candidate and employee data.
• Proficiency in MS Office Suite (Word, Excel, PowerPoint) and HR software applications.
Note: The job description
JOB DESCRIPTION
Nature of Work:
This being an advanced level position in the S/W development team the individual is expected to:
∙ Participate as a team member in all phases of the S/W lifecycle, including the analysis and design of S/W systems.
∙ Participate in a detailed level of coding, code walk – through and unit testing of S/W modules.
∙ Participate in integrated testing of product/ package.
∙ Participate in difficult and typical coding assignments with responsibility of a small module consisting of 3 – 5 members.
∙ Participate in exploration/ feasibility study of products.
∙ Have a thorough understanding of the assigned product/ project.
∙ Participate in generating technical documentation of products/ packages.
∙ Providing technical training to the juniors.
∙ Manage allocated resources, keep compliance with discipline and decorum of the organization.
∙ Keep compliance with Systems and Procedures.∙ Thorough knowledge of current technological trends in Web based Software
∙ Strong Working knowledge of JSF/JSP, Servlets, Spring, Web application development and Core Java
• Working knowledge of working with databases using EJB.
• Knowledge of Bug Tracking tool such as Jira, Bugzilla and source code version control systems (SVN, GIT)
• Knowledge of working in Scrum methodology.
• Good to have knowledge of SonarQube and Web Security Aspects.
• Knowledge of Responsive Front End Development using HTML5, JavaScript, CSS3, JQuery, Ajax and JSON.
• Should be able to write test cases for the feature.
∙ Ability to gather and analyze data & draw logical conclusions
∙ Understanding of company’s vision & goals, business operations∙ Clear and concise oral and written communication skills
∙ Ability to establish and maintain effective work relationships at
all levels
∙ Great passion for S/W development.
∙ Ability to mentor and guide the juniors.- Entertain incoming inquiries - both online & offline.
- Follow up & maintain good client relations with potential clients.
- Understand client needs and requirements, give relevant information and guide/assist them further to closing the order. Make project concept presentations and proposals as required.
- Generating new leads by researching on potential clients & contacting them.
- Conduct site survey / visits – to understand client’s requirement, give suggestions, present our products and services.
React.js
Redux/Flux
NodeJS (Node.js)Job Description
We are looking for a Senior Fullstack Engineer who is an expert on the Javascript stack (Node.js and React). We are looking for engineers who work like owners as you will be tasked with leading the development of one of our 5 major components of the Hatica platform. You will work with experienced engineers and on a modern serverless stack built using Javascript (React and Node) and Golang with a in-house realtime data analytics engine on Postgres and Elasticsearch among others.
Responsibilities
- Work across the Javascript stack from React.js in the front to Node.js in the back.
- Help your fellow DevOps and junior engineers working on our cloud infrastructure and other components of our product to ensure a code quality and robust architecture.
Requirements and Qualifications
- BE/BTech in Computer Science or Engineering
- Minimum Experience of 4 years with backend development.
- Experience of at least 2 years with Node.js
- Minimum Experience of 2 years with front end development in React
- Familiarity with newer specifications of EcmaScript
- Understanding of GraphQL
- Understanding of AWS and cloud-native technologies is preferred
Benefits
- Work with the best and brightest on a global cutting-edge SaaS product
- Performance oriented culture built on fairness and inclusivity
- Competitive Compensation
- Flexible work hours
- Fully remote team, work from anywhere
What we are looking for
Engineering at Flipkart is an interesting opportunity to solve complex problems. The scope of work will include advanced information-retrieval algorithms, massive scalability and large-scale applications that enrich user experience and predictive analytics in the area of Supply Chain Management. The ideal candidate will have over 9 years of relevant industry experience and a strong technology acumen coupled with excellent people management skills.
Educational Qualification
BE/B.Tech (or an equivalent degree) in Computer Science.
What you will be doing
• Provide technical leadership to major projects, build and guide an engineering team of 10-15 top notch engineers • Chalk-out and implement the vision, technology roadmap and business goals • Ensure that the team optimizes codes, while contributing to business goals and product strategies • Create clear career paths for team members and ensure their growth by mentoring them • Evaluate performances regularly and share and seek feedback • Operate with scale and speed, amidst flux in the fast-paced environment • Work closely with Engineering Leaders, Managers; Product Management, Business Development and Operation teams, and enable them by providing scalable and high quality technology solutions at a rapid pace • Set up best practices for development and overlook its adoption • Architect and design technically robust, flexible and scalable solutions • Work with designers, business analysts, and product managers to estimate and plan projects in an agile environment • Drive exceptional performance and collaborate with other teams on unclear interfaces amidst the rapidly evolving organizational activities.
What you should have
• Excellent leadership skills to manage and mentor teams • A deep understanding of technologies and architecture in a highly scalable and available set-up • Expertise in highly transactional, large relational and complex systems • Strong object oriented design skills, and an uncanny ability to design intuitive modules and class-level interfaces • Superior management skills to manage multi-engineer projects and experience in delivering high quality projects on time • Strong technical competence with a track record of individual technical accomplishments
- Data pre-processing, data transformation, data analysis, and feature engineering
- Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
- Required skills:
- Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
- Fluency in Python (Pandas), PySpark, SQL, or similar
- Azure data factory experience (min 12 months)
- Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
- Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
- Ability to work independently with demonstrated experience in project or program management
- Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
iOS App Development
Objective C
SwiftJD:
Responsibilities
- Design and build applications for the iOS platform
- Ensure the performance, quality, and responsiveness of applications
- Collaborate with a team to define, design, and ship new features
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organisation, and automatisation
Skills
- Proficient with Objective-C, Swift and Cocoa Touch
- Experience with iOS frameworks such as Core Data, Core Animation, etc.
- Experience with offline storage, threading, and performance tuning
- Familiarity with RESTful APIs to connect iOS applications to back-end services
- Knowledge of other web technologies and UI/UX standards
- Understanding of Apple’s design principles and interface guidelines
- Knowledge of low-level C-based libraries is preferred
- Experience with performance and memory tuning with tools.
- Familiarity with cloud message APIs and push notifications
- Knack for benchmarking and optimisation
- Proficient understanding of code versioning tools like Git, SVN.
- Familiarity with continuous integration
React.js
Go Programming (Golang)
Java
PostgreSQL- Strong knowledge in Java and Golang.
- REST API experience/writing gRPC services is a must.
- Experience with CI/CD, Docker, Kubernetes, AWS is necessary.
- Experience in building Android mobile applications a big plus.
- Strong knowledge of database systems and experience working on scalable systems is preferred.
- Experience in writing readable and maintainable code with proper documentation.
- Have burning desire and fire to work hard, quick learner, hunger to succeed, and have fun at the same time.
- No politics. No rules. No micromanagement. Just get the work done with great code quality.
- One who can understand product development and foresee future product features.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon