Area Sales Manager

I would like to request initiation of the recruitment process for a replacement .NET Developer. We are looking for a candidate with a minimum of 3 years of relevant experience in .NET application development.

Position Details

• Role: .NET Developer (Replacement)
• Experience: Minimum 3 years of professional experience

Required Skill Set

• Strong proficiency in .Net Core, C#, ASP.NET, MVC, and SQL Server
• Good understanding of object-oriented programming, debugging, and performance optimization
• Familiarity with front-end technologies (HTML, CSS, JavaScript) is preferred
• Experience with Agile/Scrum methodologies will be an added advantage

Key Responsibilities

• Develop, test, and maintain reliable and scalable software solutions
• Work closely with cross-functional teams to design and deliver new features
• Troubleshoot, analyze, and resolve application and production issues
• Participate in code reviews and ensure adherence to coding standards and best practices

Please proceed with the recruitment for this replacement position and let me know if any further information is required from my side.

About position: We seek a Content Writer to join our editorial team. As a part of our team, a content writer will be working towards enhancing our website and often be in charge of conducting subject research and developing style manuals for our needs and requirements that helps drive conversions based on the organization’s goals.

Work Hours: Full Time (10:00 AM to 06:00 PM IST).

Experience required:  0-1 years experience required.

Responsibilities:

• Prepare well-structured drafts using Content Management Systems for cut-off, placement, and course of universities.
• Ensure all-around consistency (style, fonts, and images). Update website content as needed and conduct research on any given topic when required.
• Curate content with reference to punctuation, sentence formation, grammar, and content research. 
• Write and research about different colleges and universities.
• Share daily updates with the team leader and complete the targets on time.
• Proofread, edit, and curate content of colleges and universities, etc.           

Requirements:

• A bachelor's degree in journalism, communication, marketing or a related field.
• A portfolio of published or unpublished work that demonstrates your writing abilities and style.
• Proficiency in English grammar, spelling and punctuation.
• Familiarity with SEO principles and best practices.
• Knowledge of content management systems and tools, such as WordPress, Google Docs, etc.
• Ability to research and verify information from credible sources.
• Creativity and originality in generating ideas and content.
• Attention to detail and quality assurance.
• Adaptability and flexibility in working on different projects and topics

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Job Description:

• To resolve the tickets raised as per the defined standards of time, cost, and quality for increased customer satisfaction.

Skills and Experience

• Good SQL & PLSQL knowledge.
• Good Unix basic commands knowledge.
• Good Unix scripting knowledge will be an advantage.
• ANSI SQL
• Unix - Others/
• Experience - Fresher

Work with customers or their representatives

- Possess a professional, knowledgeable, positive and energetic attitude § Uses strong consultative sales skills and interpersonal skills (both oral and written)

- Attention to detail, strong follow-up skills and motivation

- Assist manager in marketing campaigns

- Maintain accurate and organized files

- Work with Outside Sales Staff and Counter Sales Staff to assist in following up with customers

- Develop long-term relationships with industry customers (i.e. designers)

- Maintain the Showroom as a professional place of business

- Follow company policies and procedures and other duties as assigned

Technical Skills:

1. Must have skills:

• MVC, .Net C# 4.0, 4.5, .Net Core 3.1
• ASP .Net & ASP .Net Core
• Angular
• HTML, CSS, & JavaScript
• Database - SQL Server – 12/13/14/15

• Insurance P&C and Specialty domain experience a plus
• Experience in a cloud-based architecture preferred, such as Databricks, Azure Data Lake, Azure Data Factory, etc.
• Strong understanding of ETL fundamentals and solutions. Should be proficient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
• Strong experience in Python/PySpark and Spark SQL
• Experience in troubleshooting data issues, analyzing end to end data pipelines, and working with various teams in resolving issues and solving complex problems.
• Strong experience developing Spark applications using PySpark and SQL for data extraction, transformation, and aggregation from multiple formats for analyzing & transforming the data to uncover insights and actionable intelligence for internal and external use