Senior AI/ML Engineer

Summary

Join 3Pillar Global as a Senior AI/ML Engineer and contribute to innovative projects reshaping data analytics for clients. You will collaborate with a dynamic team, implementing and optimizing AI/ML models, conducting experiments, and presenting findings. This role requires a strong background in AI/ML, programming, and cloud platforms. 3Pillar offers a flexible work environment, a focus on well-being, and opportunities for professional development. The company boasts a strong culture of collaboration and innovation, recognized through various awards and industry accolades. This is a chance to be part of a global tech community and make a significant impact.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• 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
• 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