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

About LINC Education

LINC Education (www.linceducation.com), based in Singapore, is a global pioneer in providing high-touch, high-quality educator-led support services to universities around the world. Its specialist services are highly sought after by university managements and faculty to retain and grow their online student enrolments. LINC’s services are customized for each university, and delivered using a cutting-edge technology platform (LINCtrac) to provide a superior and effective learning experience to students.

LINC is managed by education sector professionals with more than 30 years of combined experience and overseen by an advisory board of the best academic professionals in the world. Dr. M Rammohan Rao (ex-Dean, Indian School of Business and ex-Director, IIM Bangalore) and Deepak Chandra (Secretary – Education, Rajiv Gandhi Foundation and ex-Deputy Dean, Indian School of Business) are members of the LINC Board of Advisors.

Position Summary

As an experienced Business Faculty Member (LINC Fellow), the candidate will serve students in Masters-level programs studying at premier Australian universities. LINC Fellows will be the single point-of-contact for the unit-in-charge for student academic matters.

• 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.

What’s on offer?

The role offers a competitive remuneration between INR 30,000-50,000 per month (based on committed weekly time, batch size and experience level of the LINC Fellow) when actively engaged, plus performance-based incentives.

The position is based out of Mumbai, Pune, NCR and Bangalore.

The professional benefits include:

• 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

Desired candidate profile:

• 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)

Job Type: Part-time

Salary: ₹30,000.00 to ₹50,000.00 /month

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.

> Experience in VF, Apex Triggers, Asynchronous Apex
> Strong knowledge of the Lightning framework
> Experience working with Sales or Service Cloud, Community Cloud, Marketing Cloud
> Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration
> Working knowledge on continuous integration, working with repositories (e.g. Git)
> Should have the experience to design the data flow and work with any ETL or data loader

He/She should understand project requirement. Should comfortable and confident enough to do editing, compositing, motion graphics on own

Roles and Responsibilities: -

• Manage the recruitment and selection process.
• Develop and implement HR strategies and initiatives aligned with the overall business strategy.
• Bridge management and employee relations by addressing demands, grievances, or other issues.
• Support current and future business needs through the development, engagement, motivation, and preservation of human capital.
• Develop and monitor overall HR strategies, systems, tactics, and procedures across the organization.
• Nurture a positive working environment.
• Oversee and manage a performance appraisal system that drives high performance.
• Maintain pay plan and benefits program.
• Assess training needs to apply and monitor training programs.
• Ensure legal compliance throughout human resource management.

         - Tie up with corporates via Email, callings etc. for placements 

 

Desired Candidate Profile: -

• Proven working experience as  HR Executive.
• People oriented and results driven.
• Demonstrable experience with Human Resources metrics
• Knowledge of HR systems and databases
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company.
• In-depth knowledge of labor law and HR best practices
• Degree in Human Resources or related field

          Performance based appraisal.

Skills and Qualifications

• Diploma /Bachelor’s degree / Masters in human resources
• 1+ years in human resources or recruitment
• Exceptional communication skills, writing skills, interpersonal skills, and ethical mindset.
• Adept to problem-solving and conflict resolution
• Extensive knowledge of HR policies and systems
• Familiarity with HR software and working knowledge of MS Office.

           Self Motivated, Time Management and sincere 

  

Product Manager at OneCard 

At Onecard, we're re-imagining the credit card for a new generation of users. Product development is an extremely collaborative effort between engineering, design, and customer-facing teams. You’d be joining a small team of experienced Product Managers who have helped build successful products at companies such as Gaana, Walnut, ICICI Bank among others. 

YOU MAY BE A GOOD FIT IF:

• You can think in terms of the big picture, but deliver on the details
• You observe users and talk to them to get insights for building products. 
• You have a nose for great products, and advocate for new features with qualitative and quantitative reasoning
• You do whatever it takes to make your product and team successful, whether that means writing a QA plan or hunting down the root cause of a user’s frustration. This is very important as we're rapidly growing. 
• You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
• You communicate with empathy and exceptional precision
• You are technical enough to ask engineers good questions about architecture and product decisions alike
• Beyond just shipping new products, you obsess about continuous product improvement

REQUIREMENTS

• You’ve spent at least 3 to 5 years in product management, especially working on mobile apps. 
• You’ve built something with 100k+ users in a consumer facing application. If you've built something on your own - a blog or a website, please send us a link. 
• You’ve worked with design teams and software like Figma/Zeplin/Balsamiq. 
• Experience in Fintech and gaming is preferred. Especially working on reward programs. 

You’ve built something with 100k+ users in a consumer facing application. If you've built something on your own - a blog or a website, please send us a link. 

YOU SHOULD INCLUDE THESE IN YOUR APPLICATION:

A few words on...

• Why you’re interested in being a product manager at OneCard in particular
• The product you are most proud of shipping, and your role in its development
• The biggest product mistake you’ve made (we all have them!)

We are looking for a Machine Learning Engineer with 3+ years of experience with a background in Statistics and hands-on experience in the Python ecosystem, using sound  Software Engineering practices. Skills & Knowledge: - Formal knowledge of fundamentals of probability & statistics along with the ability to apply basic statistical analysis methods like hypothesis testing, t-tests, ANOVA etc. - Hands-on knowledge of data formats, data extraction, loading, wrangling, transformation, pre-processing and analysis. - Thorough understanding of data-modeling and machine-learning concepts - Complete understanding and ability to apply, implement and adapt standard implementations of machine learning algorithms - Good understanding and ability to apply and adapt Neural Networks and Deep Learning, including common high-level Deep Learning architectures like CNNs and RNNs - Fundamentals of computer science & programming, especially Data structures (like multi-dimensional arrays, trees, and graphs) and Algorithms (like searching, sorting, and dynamic programming) - Fundamentals of software engineering and system design, such as requirements analysis, REST APIs, database queries, system and library calls, version control, etc. Languages and Libraries: - Hands-on experience with Python and Python Libraries for data analysis and machine learning, especially Scikit-learn, Tensorflow, Pandas, Numpy, Statsmodels, and Scipy. - Experience with R and its ecosystem is a plus - Knowledge of other open source machine learning and data modeling frameworks like Spark MLlib, H2O, etc. is a plus

A free lancer or consultant. This is a short assignment to begin with. May lead to a full time opportunity.