Senior AI/ML Engineer

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About the job

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 Python Engineer specializing in AI/ML, 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 leveraging Python or Go to build AI/ML solutions and improve business outcomes, consider this your pass to the captivating world of Data Science and Engineering!

Key Responsibilities:

• Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative Python- or Go-based solutions.
• Implement and deploy AI/ML models and algorithms into production environments with a focus on performance and scalability.
• 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 Python engineers and team members.
  
  

Minimum Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related fields.
• Ideally 1+ years of experience in building AI models with ML, NLP, and deep learning.
• Strong proficiency in Python or Go and the related ecosystem for AI/ML development.
• Experience with logstash/elasticsearch.
• Familiarity with LLM concepts, information retrieval, recommendation engines, and predictive AI.
• Strong understanding of data engineering concepts, including data cleaning, transformation, and preparation for AI/ML pipelines.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with tooling and APIs using inference engines hosted externally, e.g., on openai.com.
  
  

Additional Experience Desired:

• Strong software engineering background with experience in frameworks such as FastAPI, Flask, or Django.
• Experience with containerization technologies such as Docker and Kubernetes.
• Experience working with large datasets in production environments.
• Knowledge of AI/ML techniques, algorithms, and frameworks such as TensorFlow (nice to have), PyTorch, and Scikit-Learn.
• Familiarity with libraries such as Langchain, Langgraph, and Pandas.
• 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.
• Proven ability to work independently and as part of a collaborative team.