Data Scientist

Has substantial expertise in Linux OS, Https, Proxy knowledge, Perl, Python scripting & hands-on

Is responsible for the identification and selection of appropriate network solutions to design and deploy in environments based on business objectives and requirements.

Is skilled in developing, deploying, and troubleshooting network deployments, with deep technical knowledge, especially around Bootstrapping & Squid Proxy, Https, scripting equivalent knowledge. Further align the network to meet the Company’s objectives through continuous developments, improvements and automation.

Preferably 10+ years of experience in network design and delivery of technology centric, customer-focused services.

Preferably 3+ years in modern software-defined network and preferably, in cloud-based environments.

Diploma or bachelor’s degree in engineering, Computer Science/Information Technology, or its equivalent.

Preferably possess a valid RHCE (Red Hat Certified Engineer) certification

Preferably possess any vendor Proxy certification (Forcepoint/ Websense/ bluecoat / equivalent)

Must possess advanced knowledge in TCP/IP concepts and fundamentals.  Good understanding and working knowledge of Squid proxy, Https protocol / Certificate management.

Fundamental understanding of proxy & PAC file.

Integration experience and knowledge between modern networks and cloud service providers such as AWS, Azure and GCP will be advantageous.

Knowledge in SaaS, IaaS, PaaS, and virtualization will be advantageous.

Coding skills such as Perl, Python, Shell scripting will be advantageous.

Excellent technical knowledge, troubleshooting, problem analysis, and outside-the-box thinking.

Excellent communication skills – oral, written and presentation, across various types of target audiences.

Strong sense of personal ownership and responsibility in accomplishing the organization’s goals and objectives. Exudes confidence, able to cope under pressure and will roll-up his/her sleeves to drive a project to success in a challenging environment.

Responsibilities 

• Develop and implement HR strategies and initiatives.
• Bridge management and employee relations by addressing demands, grievances or other issues.
• Manage the recruitment and selection process.
• Support current and future business needs through the development, engagement, motivation    and preservation of human capital 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.
• Report to management and provide decision support through HR metrics.

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

Counseling the students over the study abroad options.

Handling enquiries and getting the enrollments done .

Achieving monthly sales targets, cold calling.

Work Schedule: 6 days a week (including weekends), any 1 fixed weekly off.

11am-7pm / 12pm - 8pm - Mon to Fri

10am to 7pm / 11am to 8pm - Sat n Sun

We are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and tablet computers. Your primary focus will be development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and the creation of quality products is essential.

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, organization, and automatization

Skills

• Proficient with Objective-C or 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 optimization
• Proficient understanding of code versioning tools 
• Familiarity with continuous integration
•  

Requirements

• B.Tech/BCA/MCA degree in Computer Science, Engineering or a related subject.

Senior Software Development Engineer - Chennai  

Who we are?  

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.  

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.  

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.  

To know more about Kaleidofin, do visit our site https://kaleidofin.com/  

What You’ll Do?  

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:  

• Lead design and development of products working closely with business team 
• Independently own software components and co-own entire applications with a small group of fellow developers 
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance 
• Build performant, scalable, yet secure, enterprise ready back end architectures that can support millions of users in parallel 

• Establish strong engineering best practices and champion their adoption 

Who You Need To Be? 
 

• 4+ years’ experience in software product development and delivery 
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).  
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 
 

• All experience should be from good product development or e-commerce background. 
• Able to take ownership of working with atleast one of mobile or web app teams for complete integration with backend 
• Must have shown good stability in all your previous associations.  
• Skill set 

• Have strong backend knowledge and cloud development exposure 

• Proficiency in Java, Spring boot, Hibernate, REST API development 
• Worked with at least 1 RDBMS (Mysql preferred). NoSql is a plus. 
• Have used or are very hands-on with Microservices, Docker, Kubernetes, Gradle/Ant, Kafka, GIT/bitbucket in a very agile work place. 
• Writing high quality code which is made better by unit tests and integration tests is how you work 
• Comfortable with exploring proven open source tech stack like Grafana, Kibana, Jira, Prometheus, caches like Redis/Memcached, task queues like celery, to name a few 

• Knowledge of test driven development and AWS tech stack will be a good plus 

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.
• Provide outstanding services and ensure customer satisfaction.