Senior AI/ML Engineer

🌟 Accomplished Tech Visionary: 

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. As a senior AI/ML engineer,  you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

If you are passionate about discovering solutions hidden in large data sets to improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering! 🚀💻

WE ARE 3PILLAR GLOBAL

At 3Pillar, culture is more than a buzzword. The power of culture, teamwork, and open collaboration drives our commitment to building breakthrough software solutions that power digital businesses. Our passion for software development has gained us recognition in some of the industry’s most innovative spaces, including a spot on the Inc. 5000 list ten years in a row, a three time winner of the Washington Post Top Workplaces Award, and notable features in Forbes, Fortune, and the Washington Business Journal. 

We are an innovative software development partner whose solutions drive rapid revenue, market share, customer growth and employee efficiency for industry leaders in Media and Publishing, Information Services, Banking and Financial Services, Insurance and Healthcare.

Our key differentiator is our Product Mindset. Our development teams focus on building for outcomes and all of our team members around the globe are trained on the Product Mindset’s core values – Minimize Time to Value, Solve For Need, and Excel at Change. Our business-minded approach to agile development ensures that we align to client goals from the earliest conceptual stages through launch and beyond. 

WHAT WE BELIEVE

At 3Pillar, our core values – Intrinsic Dignity, Outsized Impact, Open Collaboration, and Continuous Improvement – drive our commitment to providing best-in-class software development services to high-growth businesses across the globe. We’ve spent more than fifteen years building innovative software solutions. Our executive team has always held our values to the highest standard which has led to active participation on the Forbes Tech Council, a winner of the Ernst & Young Entrepreneur of the Year Award, and a spot on the Washington Business Journal’s Women Who Mean Business list.

• Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.
• Implement and deploy AI/ML algorithms and models into production environments.
• Optimize and fine-tune AI/ML models to improve accuracy and efficiency.
• Conduct experiments, perform data analysis, and present findings to stakeholders.
• Develop and maintain documentation for AI/ML algorithms, models, and solutions.
• Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.
• Mentor and provide technical guidance to junior AI/ML engineers or team members.

• Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or related fields.
• 4+ years of experience in building AI models with ML, NLP and deep learning.
• Strong knowledge of AI/ML techniques, algorithms, and frameworks.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
• Solid understanding of machine learning concepts, algorithms, and statistical methods. 
• Experience with data preprocessing, cleaning, and feature engineering techniques.
• Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences.
• Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.). 
• Knowledge of MLOps practices and experience with CI/CD tools.
• Proven ability to work independently and with a team.

• Good Software Engineering Background.
• Experience with data visualization tools like PowerBI, Tableau, AWS QuickSight etc.
• Experience in working with huge datasets in a production environment.

• Medical Insurance benefits as per company policy. 
• Life Insurance as per company policy
• 15 days of paid vacation plus additional days based on tenure
• Vacation bonus as per local law
• Sick leave and paid holidays as per local law
• Profit sharing as per local law
• Paternity and maternity leave as per as per local law
• Marriage, bereavement and graduation leaves as per company policy
• Christmas bonuses as per local law
• Work from home allowance as per company policy
• Punctuality and attendance bonuses as per company policy
• Food tickets as per company policy
• Direct deposit of payroll.
• Paid professional certifications

• At 3Pillar, we offer a world of opportunity:
• Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 
• You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 
• We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
• Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
• We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.