Business Development Executive

Basic Qualifications :

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as JAVA, Python, JavaScript, etc.

● Server-side development experience mainly in JAVA, (Python and NodeJS can be considerable)

● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS, or jQuery, etc., is good to have.

● Passion for software engineering and following the best coding concepts.

● Good to great problem solving and communication skills.

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 Responsibilities:

Section 1 -

- Responsible for managing and providing L1 support to Build, design, deploy and maintain the implementation of Cloud solutions on AWS.
- Implement, deploy and maintain development, staging & production environments on AWS.
- Familiar with serverless architecture and services on AWS like Lambda, Fargate, EBS, Glue, etc.
- Understanding of Infra as a code and familiar with related tools like Terraform, Ansible Cloudformation etc.

Section 2 -

- Managing the Windows and Linux machines, Kubernetes, Git, etc.
- Responsible for L1 management of Servers, Networks, Containers, Storage, and Databases services on AWS.

Section 3 -

- Timely monitoring of production workload alerts and quick addressing the issues
- Responsible for monitoring and maintaining the Backup and DR process.

Section 4 -

- Responsible for documenting the process.
- Responsible for leading cloud implementation projects with end-to-end execution.

Qualifications: Bachelors of Engineering / MCA Preferably with AWS, Cloud certification

Skills & Competencies

- Linux and Windows servers management and troubleshooting.

- AWS services experience on CloudFormation, EC2, RDS, VPC, EKS, ECS, Redshift, Glue, etc. - AWS EKS

- Kubernetes and containers knowledge

- Understanding of setting up AWS Messaging, streaming and queuing Services(MSK, Kinesis, SQS, SNS, MQ)

- Understanding of serverless architecture. - High understanding of Networking concepts

- High understanding of Serverless architecture concept - Managing to monitor and alerting systems

- Sound knowledge of Database concepts like Dataware house, Data Lake, and ETL jobs

- Good Project management skills

- Documentation skills

- Backup, and DR understanding

Soft Skills - Project management, Process Documentation

Ideal Candidate:

- AWS certification with between 2-4 years of experience with certification and project execution experience.

- Someone who is interested in building sustainable cloud architecture with automation on AWS.

- Someone who is interested in learning and being challenged on a day-to-day basis.

- Someone who can take ownership of the tasks and is willing to take the necessary action to get it done.

- Someone who is curious to analyze and solve complex problems.

- Someone who is honest with their quality of work and is comfortable with taking ownership of their success and failure, both.

Behavioral Traits

- We are looking for someone who is interested to be part of creativity and the innovation-based environment with other team members.

- We are looking for someone who understands the idea/importance of teamwork and individual ownership at the same time.

- We are looking for someone who can debate logically, respectfully disagree, and can admit if proven wrong and who can learn from their mistakes and grow quickly

Artifex HR is looking to hire an HR recruiter to manage our recruitment cycle. The job involves identifying potential hires, evaluating, interviewing candidates and post recruitment checks.

JOB RESPONSIBILITES:

- Sourcing candidate CVs from various job portals by posting ads and following up

- Placing job advertisements

- Using company’s database/ reference/ networks & teams

- Pre-screening activities before scheduling of interviews

- Co-ordinating between potential candidates during subsequent rounds

- Making referral checks for the new hires before they’ve been placed with the company

- Finalizing salaries and sending out offer letters to selected candidates

- Ensuring that the candidates join and are given a date of joining

JOB REQUIREMENTS:

- 6 months to 2 years of work experience as an IT Recruiter or similar role

- Experience with IT recruitment is preferred

- Degree in Human Resources Management, Organizational Psychology or relevant field

- Experience with sourcing techniques and familiarity with handling job portals

- Excellent verbal and written communication skills

EXPERIENCE: 6 months to 2 years

SALARY: Up to 20,000 per month

You will start your journey at Smart Owls as an individual contributor working in a team to introduce and showcase the unique way in which Smart Owls help institutes to go online.

We're looking for someone who can take direction from written or spoken ideas and convert them seamlessly into interactive layouts.

We aim to delight users with a simple and functional design.

What you'll do:

Create UI/UX design of Mobile and Web applications that will truly delight our users Create interactive consumer and business applications by developing concepts, layouts, design system for the product.

Analyze user interface problems and create design solutions that meet measurable business goals and requirements

Work closely with the other teams to develop user scenarios, storyboards, and high-level requirements.

 We are looking for people who have: 1 year of experience in Product design/ Interaction design.

Experience designing digital products and systems, not just websites.

You have helped build products.

Hands-on experience with design software like Sketch (Mandatory), Photoshop, Invision, and Zeplin.

Being open to feedback, and willingness to implement changes based on feedback and requirements

• Support the entire application lifecycle (concept, design, test, release and support)
• Produce fully functional mobile applications writing clean code
• Gather specific requirements and suggest solutions
• Write unit and UI tests to identify malfunctions
• Troubleshoot and debug to optimize performance
• Design interfaces to improve user experience
• Liaise with Product development team to plan new features
• Ensure new and legacy applications meet quality standards
• Research and suggest new mobile products, applications and protocols
• Stay up-to-date with new technology trends