Inside Sales Executive

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.

Company Description

intalk.io is an Omnichannel Customer Interaction Platform by Agami Tech, empowering businesses with advanced CRM, Customer Application Development, and End-to-End Unified Customer Interaction Management. Our boutique solutions integrate voice, email, chat, WhatsApp, and social media across environments—helping clients accelerate business outcomes, boost productivity, and streamline multi-vertical enterprise operations through seamless, AI-driven communication and robust reporting

Role Description

• Collaborate with sales teams to identify and analyse customer requirements, translating them into viable software solutions.
• Assist in qualifying leads by leveraging technical knowledge to address business challenges and deliver value.
• Develop and deliver tailored presentations, demos, and proposals showcasing product capabilities and fit.
• Provide technical support throughout the sales cycle, addressing queries and concerns for prospective clients.
• Prepare and manage technical/functional documentation for RFPs/RFIs and act as a bridge between sales and development teams.
• Conduct business analysis to ensure solutions align with client objectives and integrate smoothly.
• Stay up-to-date with industry trends and new technologies, proactively identifying client opportunities

Qualifications

• 1–3 years’ presales experience in the Technology industry and/or hands-on working experience in SAAS products.
• Strong analytical problem-solving skills and service-oriented mindset.
• Excellent communication and presentation skills, confident delivering live product demos.
• Experience with CRM tools and business documentation.
• Proven ability in customer needs assessment and relationship management.
• Bachelor’s degree in Computer Science, IT, Engineering, or a related field (preferred).
• Relevant certifications are a plus.

We are looking for a Senior React Native developer with 5 - 6 years of experience, in building performant mobile applications on Android & iOS platforms. You will be responsible to Architect, build React Native applications.

We are a fast growing product based startup operating out of Chennai.

Responsibilities

• Build pixel-perfect, buttery smooth UIs across Android and iOS.
• Technical design of complex mobile applications
• Leverage native APIs for deep integrations with both platforms.
• Translating designs and wire-frames into high quality code
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality.

Requirements

• 5-6 years of demonstrable experience in designing and developing mobile apps using react-native.
• Ability to write well-documented, clean JavaScript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts.
• Familiarity with native build tools, like XCode, Gradle, Android Studio and Visual Studio Code.
• Understanding of REST APIs, the document request model, and offline storage.

Below are a few perks of joining our team:

• Competitive salary
• Fully remote job
• Creative Problem Solving and Entrepreneurial Thinking
• Fast-Paced Environment
• Consistent Engagement from Senior Leadership

Design test plans, write test cases, review functional requirement documentation, and present test strategies for team review

• Conduct integration, regression, ad-hoc, and edge-case testing as part of release cycles
• Analyze complicated software system and design a strategy to test this system
• Understand and represent customer needs in product feedback discussions
• Participate in release management and post deployment testing
• Work closely with developer team to ensure proper test coverage is done
• Documentation and Release cycle

Job Profile Requirement : 

Experience of testing web applications, mobile applications.

• Knowledge of Responsive Testing
• Working knowledge of functional, GUI, Performance and Regression testing
• Strong knowledge of QA procedures, principles, and tools.
• Strong verbal and written (technical) communication skills to explain bugs and other issues identified and produce bug reports, documentation and feedback to both product owners and software developers.
• Ability to work in an environment of perfection and compliance to web standards and high design quality benchmarks.
• Strong organisational and time management skills - know what you need to do, and DO IT!

• Required Good Coding Skills In HTML5, PHP, JS & MYSQL, BOOTSTRAP CSS, JQuery,
• Designing And Building The Website Front-End.
• Creating The Website Architecture.
• Designing And Managing The Website Back-End Including Database And Server Integration.
• Conducting Website Performance Tests.
• Troubleshooting Content Issues.
• Monitoring The Performance Of The Live Website.
• Knowledge Of CMS Have Additional Benefits
• Should Have A Deep Understanding Of UI/UX Frontend
• Should Have A Previous Experience With Landing Page Builders