Ai Research Engineer

Ai Research Engineer - Drive Innovation & Impact
Take ownership of meaningful projects in the IT industry while collaborating with a talented team of engineers. This role is perfect for those ready to level up their careers and make a significant mark in technology.

Position Details
- Experience Range: 0 to 4 years (Entry-Level)
- Engagement Type: Freelance
- Work Mode: Hybrid
- Location: Remote
- Openings: 3 positions available.

Key Responsibilities
- Own the end-to-end development of features from conception to deployment in the Procure to Pay project.
- Collaborate effectively with product managers and designers to translate requirements into innovative technical solutions.
- Write scalable, maintainable code while conducting thorough code reviews to ensure high quality.
- Mentor junior developers and contribute to team knowledge sharing, facilitating a culture of learning.
- Participate in architectural discussions, proposing technical improvements that enhance project outcomes.
- Debug complex issues and optimize application performance to ensure seamless user experiences.
- Stay current with industry trends, evaluating new technologies for potential adoption in projects.

Collaboration Rhythm
- Coordinate with PM/Design/QA/Ops to lock crisp acceptance criteria for project deliverables.
- Share project status and risk updates early, providing options and trade-offs for decision-making.
- Navigate time zones and schedules effectively, maintaining alignment with hybrid work norms.

Quality & Reliability
- Maintain code testability, readability, and observability within the modules you own.
- Contribute to usable checklists and runbooks, providing resources others can leverage for future projects.

Delivery Signals
- Achieve predictable delivery across consecutive project iterations, demonstrating reliability.
- Ensure a tangible reduction in bugs and rework within your scope of responsibility.

Must-Haves
- Basic Data Preprocessing, Basic Machine Learning Concepts, Data Structures & Algorithms, Git Version Control, Model Evaluation Techniques, NumPy Basics, Pandas for Data Manipulation, Python Programming, SQL Fundamentals, AI Ethics, Agile Methodology, Collaborative Development (GitHub), Computer Vision, Continuous Integration (CI/CD), Data Analysis, Data Preprocessing, Deep Learning, Django, Feature Engineering, Jupyter Notebooks, Keras, Machine Learning Basics, Model Deployment, Model Evaluation, Model Explainability, Natural Language Processing (NLP), Project Leadership, PyTorch, Python, Reinforcement Learning, Research Paper Review, SQL, Scikit-learn, Stakeholder Management, Technical Documentation, TensorFlow, Transfer Learning, Version Control (Git).

Nice-to-Have Skills
- Basic API Development, Basic Understanding of Neural Networks, Cloud Computing Basics (AWS, Azure, GCP), Docker Basics, Keras for Deep Learning, Matplotlib for Data Visualization, Pytorch Fundamentals, Regular Expressions for Data Cleaning, Scikit-Learn for ML, TensorFlow Basics, API Development, Big Data Technologies, Business Intelligence (Tableau), Cloud Basics, Cloud Deployment (AWS), Data Engineering, Data Visualization, Data Wrangling, Docker, Experiment Tracking, Git, Graph Neural Networks, Hyperparameter Tuning, JIRA, Matplotlib, NumPy, Pandas, REST APIs, SQL Optimization, Seaborn.

Engagement & Compensation
- Employment Type: Freelance
- Work Mode: Hybrid
- Location: Remote
- Openings: 3 positions available.
- Experience: 0 to 4 years
- Compensation: Hourly Rate: $8.0-$200.0 per hour

Additional Comments
We are committed to fostering an inclusive and diverse workplace where everyone can thrive. Join us in shaping the future of technology!