11+ Mentorship Jobs in Pune | Mentorship Job openings in Pune

• The role will be part time (15-20 hours per week) with scheduled weekend availability.
• LINC Fellows will be “actively engaged” when a unit (subject) is assigned. A unit will range from 7 to 14 weeks at a time.
• LINC Fellows are required to provide 2-3 hrs each afternoon (between noon to 5pm) every day when they are supporting students.
• Candidate will have flexibility to work from location of his/her convenience.

• Interacting with high-quality global university faculty
• Working with a diverse range of international students
• Developing deeper subject understanding
• Gaining richer academic exposure
• Improving interpersonal and cross-cultural skills

• PG/Doctoral degree with distinction or first-class from a top university in India
• 5-10 years of corporate experience and/or teaching experience in the fields like Marketing, Finance, Operations, Organization/HR, Data Analytics, Project Management, Strategy and Ethics at a leading university or college (note: at least 1 year formal teaching experience at a university of college is a MUST).
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse culture
• Proficient in English language
• Must possess a working laptop and have access to high-speed (>2 MBPS) stable internet connection
• Ability to quickly learn and use technology platforms for interacting with student including host university’s Learning Management System and LINC's technology platform (training on these platforms will be provided)

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Key Responsibilities:

• Work on highly distributed and scalable system architecture

• Design, develop, test, and maintain high-quality software solutions

• Ensure performance, security, and maintainability of applications

• Collaborate with cross-functional teams and stakeholders

• Perform system testing and resolve technical issues

Required Skills:

• Strong experience in ASP.NET, C#, .NET Core, MVC

• Hands-on experience with SQL Server / PostgreSQL

• Experience in Angular / React (Frontend technologies)

• Knowledge of microservices architecture & RESTful APIs

• Familiarity with CQRS pattern

• Exposure to AWS / Docker / Kubernetes

• Experience with CI/CD pipelines (Azure DevOps, Jenkins)

• Knowledge of Node.js is an added advantage

• Understanding of Agile methodology

• Good exposure to cybersecurity and compliance

Technology Stack:

• Microsoft .NET technologies (primary)

• Cloud platforms: AWS (SaaS/PaaS/IaaS)

• Databases: MSSQL, MongoDB, PostgreSQL

• Caching: Redis, Memcached

• Messaging queues: RabbitMQ, Kafka, SQS

CTC: up to 20 LPA

Required Skills:

• Strong experience in SAP EWM Technical Development.
• Proficiency in ABAP (Reports, Interfaces, Enhancements, Forms, BAPIs, BADIs).
• Hands-on experience with RF developments, PPF framework, and queue monitoring.
• Understanding of EWM master data, inbound/outbound processes, and warehouse tasks.
• Experience with SAP integration technologies (IDoc, ALE, Web Services).
• Good analytical, problem-solving, and communication skills.

Nice to Have:

• Exposure to S/4HANA EWM.
• Knowledge of Functional EWM processes.
• Experience in Agile / DevOps environments.

If interested kindly share your updated resume on 82008 31681

We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.

Key Responsibilities:

• Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
• Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
• Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
• Optimize application performance and ensure high availability and responsiveness.
• Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
• Develop RESTful APIs and ensure their quality and consistency.
• Handle integration with external systems and third-party services.
• Participate in code reviews, provide constructive feedback, and mentor junior developers.

Technical Skills Required:

• Languages: Java 8 or above
• Frameworks: Spring Boot, Spring MVC, Spring Security
• Architecture: Microservices architecture and design patterns
• Databases: MySQL/PostgreSQL, MongoDB (optional)
• Messaging: Kafka, RabbitMQ (optional)
• API Development: RESTful APIs, Swagger/OpenAPI
• Version Control: Git, GitHub/GitLab
• Tools: Maven/Gradle, Jenkins, Docker
• Testing: JUnit, Mockito
• Cloud (optional): AWS/Azure/GCP exposure
• CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes

Nice to Have:

• Experience in containerization and orchestration (Docker, Kubernetes).
• Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
• Experience with Agile methodologies (Scrum/Kanban).
• Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).

• You will be participating in feature solutioning discussions and finalizing an approach aligned with requirements.
• Preparing HLD and LLD. Making reviews of design documents
• Exploring technology and hacking way through the specific problem to accomplish desired results.
• Owning a module and delivering it end to end.
• Working in a team and at times showing leadership by taking initiatives and guiding other
• You should have evaluated new technologies and introduced relevant as and when required.
• You should have built multiple systems ground up and maintained them working.
• You should have exposed to debugging client-side production setup under crisis.