ML Engineer
HaystackAbout the role
This is an exciting opportunity with a leading technology consulting firm specializing in IT staffing and solutions for a diverse range of clients, including Fortune 500 companies. They are known for their agile approach and innovation in delivering technology services.
The Role
Implement, refine, and validate machine learning algorithms for products and applications
Implement data pipelines including data ingest, validation, cleaning, and monitoring
Train, validate, and deploy machine learning models into production
Assist in developing proof of concept solutions and contributing to future product development studies
Research, write, and edit documentation and technical requirements, including evaluation plans and technical manuals
Test and evaluate solutions, completing case studies and reporting
What You'll Need
Bachelor's degree in computer science, computer engineering, mathematics, or a related technical discipline
1-3 years of related experience after Bachelor's degree
Experience with machine learning, deep learning, data mining, and/or statistical analysis tools
Ability to deploy and monitor machine learning models
Strong programming and software development skills, particularly with Python, Java, or Scala
Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker
What's On Offer
Full benefits package (Medical, Dental, Vision)
401(k) plan
Competitive compensation
Opportunities for career growth with Fortune 500 partners
Apply via Haystack today!
Responsibilities
- Implement, refine, and validate machine learning algorithms for products and applications
- Implement data pipelines including data ingest, validation, cleaning, and monitoring
- Train, validate, and deploy machine learning models into production
- Assist in developing proof of concept solutions and contributing to future product development studies
- Research, write, and edit documentation and technical requirements, including evaluation plans and technical manuals
- Test and evaluate solutions, completing case studies and reporting
Qualifications
- Bachelor's degree in computer science, computer engineering, mathematics, or a related technical discipline
- 1-3 years of related experience after Bachelor's degree
- Experience with machine learning, deep learning, data mining, and/or statistical analysis tools
- Ability to deploy and monitor machine learning models
- Strong programming and software development skills, particularly with Python, Java, or Scala
- Knowledge of data pipeline and cloud technologies such as Kafka, Spark, and Docker
Benefits
- Full benefits package (Medical, Dental, Vision)
- 401(k) plan
- Competitive compensation
- Opportunities for career growth with Fortune 500 partners
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.