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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.

Role Overview:

We are seeking a talented and experienced Data Architect with strong data visualization capabilities to join our dynamic team in Mumbai. As a Data Architect, you will be responsible for designing, building, and managing our data infrastructure, ensuring its reliability, scalability, and performance. You will also play a crucial role in transforming complex data into insightful visualizations that drive business decisions. This role requires a deep understanding of data modeling, database technologies (particularly Oracle Cloud), data warehousing principles, and proficiency in data manipulation and visualization tools, including Python and SQL.

Responsibilities:

• Design and implement robust and scalable data architectures, including data warehouses, data lakes, and operational data stores, primarily leveraging Oracle Cloud services.
• Develop and maintain data models (conceptual, logical, and physical) that align with business requirements and ensure data integrity and consistency.
• Define data governance policies and procedures to ensure data quality, security, and compliance.
• Collaborate with data engineers to build and optimize ETL/ELT pipelines for efficient data ingestion, transformation, and loading.
• Develop and execute data migration strategies to Oracle Cloud.
• Utilize strong SQL skills to query, manipulate, and analyze large datasets from various sources.
• Leverage Python and relevant libraries (e.g., Pandas, NumPy) for data cleaning, transformation, and analysis.
• Design and develop interactive and insightful data visualizations using tools like [Specify Visualization Tools - e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly] to communicate data-driven insights to both technical and non-technical stakeholders.
• Work closely with business analysts and stakeholders to understand their data needs and translate them into effective data models and visualizations.
• Ensure the performance and reliability of data visualization dashboards and reports.
• Stay up-to-date with the latest trends and technologies in data architecture, cloud computing (especially Oracle Cloud), and data visualization.
• Troubleshoot data-related issues and provide timely resolutions.
• Document data architectures, data flows, and data visualization solutions.
• Participate in the evaluation and selection of new data technologies and tools.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• Proven experience (typically 5+ years) as a Data Architect, Data Modeler, or similar role. 
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• Deep understanding of data warehousing concepts, dimensional modeling (e.g., star schema, snowflake schema), and ETL/ELT processes.
• Extensive experience working with relational databases, particularly Oracle, and proficiency in SQL.
• Hands-on experience with Oracle Cloud data services (e.g., Autonomous Data Warehouse, Object Storage, Data Integration).
• Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Demonstrated ability to create compelling and effective data visualizations using industry-standard tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly).
• Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
• Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences. 
• Experience with data governance and data quality principles.
• Familiarity with agile development methodologies.
• Ability to work independently and collaboratively within a team environment.
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Application Link- https://forms.gle/km7n2WipJhC2Lj2r5

Key Responsibilities

• Lead the automation testing effort of our cloud management platform.

• Create and maintain automation test cases and test suites.

• Work closely with the development team to ensure that the automation tests are integrated into the development process.

• Collaborate with other QA team members to identify and resolve defects.

• Implement automation testing best practices and continuously improve the automation testing framework.

• Develop and maintain automation test scripts using programming languages such as Python.

• Conduct performance testing using tools such as JMeter, Gatling, or Locust.

• Monitor and report on automation testing and performance testing progress and results.

• Ensure that the automation testing and performance testing strategy aligns with overall product quality goals and objectives.

• Manage and mentor a team of automation QA engineers.

Requirements

• Bachelor's degree in Computer Science or a related field.

• Minimum of 8+ years of experience in automation testing and performance testing.

• Experience in leading and managing automation testing teams.

• Strong experience with automation testing frameworks including Robot Framework.

• Strong experience with programming languages, including Python.

• Strong understanding of software development lifecycle and agile methodologies.

• Experience with testing cloud-based applications.

• Good understanding of Cloud services & ecosystem, specifically AWS.

• Experience with performance testing tools such as JMeter, Gatling, or Locust.

• Excellent analytical and problem-solving skills.

• Excellent written and verbal communication skills.

• Ability to work independently and in a team environment.

• Passionate about automation testing and performance testing.

.Net Core is preferred along with SQL or very strong .Net developer with SQL

The job requires the resource to do documentation, SQL support, development with .Net,integration,interaction with end user- mix of all activities

• 4-10 years of experience in software development.
• At least 2 years of relevant work experience on large scale Data applications.
• Strong coding experience in Java is mandatory
• Good aptitude, strong problem solving abilities, and analytical skills, ability to take ownership as appropriate
• Should be able to do coding, debugging, performance tuning and deploying the apps to Prod.
• Should have good working experience on
• o Hadoop ecosystem (HDFS, Hive, Yarn, File formats like Avro/Parquet)
• o Kafka
• o J2EE Frameworks (Spring/Hibernate/REST)
• o Spark Streaming or any other streaming technology.
• Strong coding experience in Java is mandatory
• Ability to work on the sprint stories to completion along with Unit test case coverage.
• Experience working in Agile Methodology
• Excellent communication and coordination skills
• Knowledgeable (and preferred hands on) - UNIX environments, different continuous integration tools.
• Must be able to integrate quickly into the team and work independently towards team goals

• Take the complete responsibility of the sprint stories' execution
• Be accountable for the delivery of the tasks in the defined timelines with good quality.
• Follow the processes for project execution and delivery.
• Follow agile methodology
• Work with the team lead closely and contribute to the smooth delivery of the project.
• Understand/define the architecture and discuss the pros-cons of the same with the team
• Involve in the brainstorming sessions and suggest improvements in the architecture/design.
• Work with other team leads to get the architecture/design reviewed.
• Work with the clients and counter-parts (in US) of the project.
• Keep all the stakeholders updated about the project/task status/risks/issues if there are any.

iOS Developer Responsibilities:

• Designing and building mobile applications for Apple’s iOS platform.
• Collaborating with the design team to define app features.
• Ensuring quality and performance of the application to specifications.
• Identifying potential problems and resolving application bottlenecks.
• Fixing application bugs before the final release.
• Publishing application on App Store.
• Maintaining the code and atomization of the application.
• Designing and implementing application updates.

EXPERIENCE

iOS Developer Requirements:

• BE, B Tech, ME, M Tech, MCA in Computer Science with 3-9 years of experience

• Proven experience as an app developer.
• Proficient in Objective-C/ Swift/ Cocoa Touch.
• Knowledge of iOS back-end services.
• Knowledge of Apple’s design principles and application interface guidelines.
• Proficient in code versioning tools including Mercurial, Git
• Ability to work with crash analytics, CI/CD etc regarding iOS development
• Familiarity with push notifications, APIs, and cloud messaging.
• Experience with continuous integration.

Purpose

We are looking for Sr. Laravel Developer. The candidate must have Good level of proficiency in PHP, MySQL, object-oriented JavaScript, HTML5, CSS3, AJAX, XML, JSON required and Write clean PHP code in a timely and scalable way.

Key Responsibilities

• Responsible to Code, Test, Deploy and Scale SaaS-based Products using PHP, MySQL, with Laravel and Lumen MVC framework.
• Can write functional requirement documents and guides others within the project / team.
• Develop, write and implement software programming applications following established architecture standards as well as software development and project management methodologies.
• Integrate / Develop to third-party APIs.
• Write high quality code using the guidelines and effectively debug the code; perform code review of junior members.
• Azure or Aws cloud knowledge is good to have.
• Proficient understanding of code versioning tools, such as SVN, GIT.
• Build and implement web applications and back-end services that integrate with mobile applications.
• Build reusable code and libraries for future use & Optimize application for maximum speed and scalability.
  
  

Skills

• Strong coding experience with Laravel (5.5 and above) and Lumen
• Knowledge of PHP frameworks like CodeIgniter / YII / Zend / Joomla / Drupal etc will be a plus point.
• Strong skills in OOPs PHP, MySQL, CSS, HTML5, jQuery, JavaScript, AJAX, Web Services, JSON.
• Must have used frameworks such as JQuery /Angular/ React JS/Backbone.
• Strong knowledge of design patterns and OOPs concepts.
• Experience with databases like MySQL / MariaDB / Postgres.
• Experience in Source Code Versioning GitHub / GitLab / BitBucket and continuous integration tools like Jenkins.
• Working knowledge of XML / JSON and third-party APIs.
• Good to have skills: knowledge of non-relational databases like MongoDB; Exposure to Varnish, Redis, Elastic Search, Apache Solr.
• Payment processing integration experience in a PCI compliant environment is a plus
  Understanding of web and application security (OWASP)
• Experience in common third-party APIs (Google, Facebook, Twitter, Instagram, etc.)
• Good written and verbal communication with good analytical and multitasking skills