Remote Technical Lead- AI/ML Engineer

Description:

• Join 3Pillar as an AI/ML Lead and manage a team of data scientists, ML engineers, and developers to build AI-powered features.
• Drive Proof of Concepts (PoCs) to production and collaborate with stakeholders to deliver measurable business impact.
• Lead a team by providing technical guidance, mentorship, and support.
• Collaborate with client teams to understand business problems and explain technical solutions clearly.
• Oversee the technical execution of AI/ML projects from experimentation to production.
• Translate business problems into AI/ML solutions and manage the delivery of these solutions.
• Guide team members on model selection, evaluation, fine-tuning, and the use of Generative AI.
• Work with product, data engineering, and software teams for integrated delivery.
• Conduct code reviews, ensure best practices, and contribute to model deployment pipelines.
• Maintain documentation and model governance according to responsible AI standards.
• Define project goals, scope, and deliverables in collaboration with stakeholders.
• Create scalable architecture and robust machine learning systems that meet business objectives.
• Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows.
• Establish best practices and standards for machine learning development within the organization.
• Monitor and evaluate the performance of machine learning models in production and implement improvements as needed.
• Stay updated on industry trends and advancements in machine learning technologies.
• Implement, deploy, and optimize AI/ML algorithms and models into production environments.
• Conduct experiments, perform data analysis, and present findings to stakeholders.

Requirements:

• A Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a Master’s degree is preferred.
• At least 8 years of experience in building AI models with machine learning, natural language processing, and deep learning.
• A proven track record of successfully delivering machine learning projects from concept to production.
• Strong leadership and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Excellent problem-solving abilities and attention to detail.
• Strong knowledge of AI/ML techniques, algorithms, and frameworks, with experience in building and deploying ML models (classification, NLP, forecasting).
• 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.
• A solid understanding of machine learning concepts, algorithms, and statistical methods.
• Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.).
• Knowledge of MLOps practices and experience with CI/CD tools.
• A good understanding of using large language models via APIs or fine-tuning open-source models.
• Hands-on experience with data preparation (Pandas, Spark), feature engineering, model training, and tuning.
• Knowledge of vector stores, embeddings, and LLMOps tools (LangChain, LlamaIndex, etc.).
• Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.).
• Exposure to monitoring frameworks (evidently.ai, whylogs, or custom dashboards).
• A proven ability to work independently and collaboratively within a team.

Benefits:

• Enjoy a flexible work environment, whether it's from the office, your home, or a blend of both, as we embody a remote-first approach.
• Be part of a global team, learning from top talent around the world and across cultures, with English as the primary language.
• Benefit from a company culture that prioritizes well-being, with a trimester focused on fitness offerings, mental health plans (country-dependent), and generous time off.
• Accelerate your career growth and development opportunities through our professional services model across various projects, offerings, and industries.
• Join an equal opportunity employer that values intrinsic dignity and open collaboration, reinforcing our commitment to diversity globally and locally.
• Become a part of a global tech community and explore more about our culture on our LinkedIn site and Careers page.