About Us:

Honeycomb Software is a dynamic software development company specializing in delivering custom solutions for startups, SMBs, and enterprises. We are expanding our team and looking for a Senior Machine Learning Engineer who is passionate about building and deploying cutting-edge ML solutions. This role offers a unique opportunity to work alongside a team of experienced ML and data engineers, contribute to innovative projects, and shape the future of our ML expertise within the company. 

Why Join Us? 

• Expert Team & Knowledge Sharing: Join a team of highly skilled engineers who value collaboration, knowledge exchange, and continuous learning. You’ll be working in an environment where your ideas matter. 
• Technical Challenges & Innovation: Engage with a variety of machine learning challenges across different domains, experimenting with the latest ML advancements. 
• Open Management & Career Growth: We foster a culture of transparency, where engineers have direct access to leadership, opportunities to contribute to decision-making, and the ability to influence the development of ML expertise in the company. 
• Future Projects & Impact: While we are currently in the presale phase of several ML-focused projects, we are proactively building a strong team to tackle upcoming challenges and deliver impactful solutions. 

What you’ll be doing:

• Design, develop, and deploy scalable machine learning models and algorithms. 
• Build and optimize ML pipelines and infrastructure for efficient model training and deployment. 
• Conduct exploratory data analysis, extract insights, and validate predictive models. 
• Work closely with data engineers, software developers, and product managers to integrate ML solutions into production systems. 
• Stay updated with the latest trends in ML, experiment with new techniques, and contribute to the team’s knowledge base. 
• Present findings and technical concepts to both technical and non-technical stakeholders. 

What you’ll need:

• 5+ years of experience in machine learning and data science. 
• Strong expertise in statistical analysis, data mining, and predictive modeling. 
• Proficiency with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. 
• Experience with LLMs 
• Advanced programming skills in Python, C++, or similar languages. 
• Experience with cloud platforms (AWS, Google Cloud, Azure). 
• Solid knowledge of SQL and NoSQL databases. 
• Familiarity with software development tools and best practices (Git, Docker, CI/CD). 
• Strong problem-solving skills and the ability to work independently as well as in a team. 

Nice-to-Have Skills:

• Experience with Big Data technologies (Spark, Snowflake, Databricks). 
• Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, or a related field. 
• Experience with k8s 
• Experience in LLM finetuning 
• Experience with LLMOps 
• MLOps experience, including model deployment and monitoring. 
• Experience in building ML infrastructure for both cloud and on-premises environments. 

What We Offer:

• A Culture of Innovation: Work in an environment that encourages creativity and solving complex challenges. 
• Growth Opportunities: Continuous learning, mentorship, and career advancement prospects. 
• Competitive Compensation. 
• Flexibility: Support for a healthy work-life balance, including remote work options. 

If you’re a talented Senior Machine Learning Engineer eager to take on challenging projects, contribute to a growing ML team, and shape the future of machine learning at Honeycomb Software, we’d love to hear from you!