Machine Learning Engineer
Role details
Job location
Tech stack
Job description
We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we'd love for you to be part of our team. *** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
Requirements
Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES
- Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
- Ability to design, implement, and optimize machine learning models and workflows
- Experience working with large, complex datasets
- Knowledge of data preprocessing and feature engineering
- Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
- Strong problem-solving skills and analytical thinking, * Proficiency in programming languages (e.g., Python, R, Java)
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Expertise in model evaluation techniques and metrics
- Strong knowledge of version control tools (e.g., Git)
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
- Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
- Experience with natural language processing (NLP)
- Knowledge of deep learning techniques (e.g., CNNs, RNNs)
- Familiarity with deployment tools (e.g., Docker, Kubernetes)
- Experience with data augmentation and synthetic data generation
- Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
- Knowledge of edge computing and model optimization for deployment
PLUG IN to CYMERTEK - And design your future...
Benefits & conditions
- Excellent Salaries
- Flexible Work Schedule
- Cafeteria Style Benefits
- 10% - 401k Matching (Vested Immediately)
- Additional 401k Profit Sharing
- 30 days Paid Leave/Holiday (No Use or Lose!)
- The day off for your birthday
- Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
- HSA/FSA
- AFLAC
- Long Term/Short Term Disability - 100% employee coverage. No cost to you.
- Life Insurance - 100% employee coverage. No cost to you.
- Additional Discretionary Life Insurance
- Paid Training
- No long, wordy reviews with tons of paperwork!!!
- Referral bonus program with recurring annual payments