Machine Learning Engineer

Top Skills' Details

1. Looking for someone who understands progressive models, prediction, hands on experience with taking AI models or machine model and drive it into production.

2. Solve complex problems with multilayered data sets and optimize existing Machine Learning libraries and frameworks.

3. Collaborate with data scientists, data engineers, and data architects on production systems and applications.

4. Identify differences in data distribution that could potentially affect model performance in real-world applications.

5. Ensure algorithms generate accurate responses.

6. Assess the effectiveness and accuracy of new data sources and execute data wrangling techniques.

7 Develop processes and tools to monitor and analyze model performance and data accuracy.

8 Experience building and operationalizing retrieval augmented generation (RAG) frameworks.

9 Experience utilizing LLMs to provide software automation capability integrations.

10 Experience configuring vectors databases for semantic search.

11. Experience with LangChain and sentence transformer frameworks.

12. Experience with ChatGPT4 (or comparable models).

13. Experience with MLOps.

14. Strong understanding of AI/ML cloud services and infrastructure, including how to leverage them and experience with SaaS infrastructure technologies (AWS/Azure preferred).

Description:

We are looking for a Machine Learning Engineer to join Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive our AI implementations related technologies/solutions to address current and future business opportunities.

This person must have strong experience with prompt engineering, designing, developing/deploying ML systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest developments in the field.

Experience working with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. They must have a proven ability to drive business results with their data-based insights and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for ML and working with stakeholders to improve business outcomes.

Skills:

MLOps, RAG, LLM's, AI, ML, Cloud, Python, SQL, Data science, Machine learning, Data, Data analysis, Aws, azure

Top Skills Details:

MLOps, RAG, LLM's, AI, ML, Cloud, Python, SQL

Additional Skills & Qualifications:

• Experience using Python and SQL to manipulate data and draw insights from large data sets.

• Knowledge of a variety of Machine Learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• A drive to learn and master new technologies and techniques.

• Ability to quickly assimilate, organize, analyze, abstract, and synthesize large amounts of information and to make decisions based on this analysis.

• Excellent written and verbal communication skills.

• Ability to present and explain technical concepts to non-technical audiences.

• Comfortable working in a dynamic and changing environment.

• Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions.

• Self-motivated / Creative / Innovative

Experience Level:

Expert Level

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.