Were looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world this role youll work closely with clients and teammates to design prototype and productize scalable machine learning solutions.
Youll be part of a collaborative high-performing team that values clear thinking pragmatic execution and continuous learning. If you thrive in fast-paced environments enjoy tackling open-ended problems and care deeply about the quality and impact of your work wed love to connect.
Qualifications :
- Must have: Expertise in LLM engineering including familiarity with popular LLM providers and their best practices. Experience building or working with agentic systems (e.g. tool use memory planning multi-agent coordination) is a strong plus. Show us your LLM projects and detail your ownership and contributions.
- Strong ability to rapidly prototype cutting-edge tools and research ideas with a track record of turning prototypes into production-ready services.
- Hands-on experience with statistics and machine learning. Comfortable working with the Python ML stack: Pandas Numpy scikit-learn XGBoost PyTorch etc. Proficient with development tools such as Git Docker SQL Bash and FastAPI.
- Strong analytical mindset and business acumen; able to think critically about data and its impact on product or business outcomes.
- Bachelors degree or higher (e.g. MS or PhD) in Computer Science or a related engineering field involving coding.
- Bonus: Familiarity with AWS or Azure GitHub Actions Spark Neo4j Cypher and graph databases.
Additional Information :
We have competitive compensation.
We believe in accountability and NOT micro-management.
Remote Work :
Yes
Employment Type :
Contract
Were looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world this role youll work closely with clients and teammates to design prototype and productize scalable machine learning solutions.Youll be part of a collaborative high-performing...
Were looking for Machine Learning Engineers who are passionate about building cutting-edge systems with LLMs and real-world this role youll work closely with clients and teammates to design prototype and productize scalable machine learning solutions.
Youll be part of a collaborative high-performing team that values clear thinking pragmatic execution and continuous learning. If you thrive in fast-paced environments enjoy tackling open-ended problems and care deeply about the quality and impact of your work wed love to connect.
Qualifications :
- Must have: Expertise in LLM engineering including familiarity with popular LLM providers and their best practices. Experience building or working with agentic systems (e.g. tool use memory planning multi-agent coordination) is a strong plus. Show us your LLM projects and detail your ownership and contributions.
- Strong ability to rapidly prototype cutting-edge tools and research ideas with a track record of turning prototypes into production-ready services.
- Hands-on experience with statistics and machine learning. Comfortable working with the Python ML stack: Pandas Numpy scikit-learn XGBoost PyTorch etc. Proficient with development tools such as Git Docker SQL Bash and FastAPI.
- Strong analytical mindset and business acumen; able to think critically about data and its impact on product or business outcomes.
- Bachelors degree or higher (e.g. MS or PhD) in Computer Science or a related engineering field involving coding.
- Bonus: Familiarity with AWS or Azure GitHub Actions Spark Neo4j Cypher and graph databases.
Additional Information :
We have competitive compensation.
We believe in accountability and NOT micro-management.
Remote Work :
Yes
Employment Type :
Contract
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