About Company
Imagine transforming complex data into intelligent solutions that drive real-world impact. At Career.zycto, we empower our team to innovate at the forefront of machine learning, tackling challenging problems with cutting-edge technology. This is a place where your expertise as an ML Engineer will directly shape the future of our products and services. We cultivate a collaborative, supportive environment that champions continuous learning and significant professional growth. Join us and contribute to a legacy of groundbreaking AI advancements, where your work truly matters.
Job Description
Are you an experienced Machine Learning Engineer ready to elevate your career and make a tangible impact? Career.zycto is seeking a highly skilled and passionate individual to join our dynamic team in Avon, Alabama. In this pivotal role, you will be instrumental in designing, developing, and deploying robust machine learning models that address complex challenges and drive innovation across our product suite. We are looking for someone who thrives on pushing the boundaries of what’s possible with AI, from conceptualization and algorithm development to production deployment and performance optimization.
You will work with diverse datasets, applying advanced statistical and machine learning techniques to extract meaningful insights and build predictive and prescriptive models. This isn’t just about writing code; it’s about understanding business needs, translating them into technical requirements, and delivering scalable, high-performance solutions. You’ll collaborate closely with data scientists, software engineers, and product managers, contributing your expertise to every stage of the product lifecycle. Your work will directly influence critical decisions, enhance user experiences, and uncover new opportunities for growth.
We value engineers who are not only technically brilliant but also possess a strong sense of ownership, excellent problem-solving abilities, and a commitment to best practices in MLOps. If you are eager to contribute to a culture of innovation, continuous learning, and impactful results, Career.zycto offers an unparalleled opportunity to develop groundbreaking AI solutions from the ground up and see them through to successful implementation.
Key Responsibilities
- Design, develop, and implement scalable machine learning models and algorithms for various applications.
- Perform data exploration, feature engineering, and rigorous model evaluation to ensure optimal performance and reliability.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into production systems.
- Optimize existing ML pipelines for efficiency, performance, and cost-effectiveness.
- Stay abreast of the latest advancements in machine learning, deep learning, and artificial intelligence, and apply relevant techniques.
- Develop and maintain robust MLOps practices, including version control, automated testing, and continuous deployment of models.
- Provide technical leadership and mentorship to junior team members.
- Translate complex business problems into specific, measurable, achievable, relevant, and time-bound ML projects.
Required Skills
- 5+ years of professional experience as a Machine Learning Engineer or similar role.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning algorithms, statistical modeling, and deep learning architectures.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow).
- Expertise in data manipulation and querying using SQL and NoSQL databases.
- Solid foundation in software engineering principles, data structures, and algorithms.
- Excellent problem-solving skills and ability to work independently or as part of a team.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
Preferred Qualifications
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience with distributed computing frameworks (e.g., Spark, Hadoop).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Proven track record of deploying and maintaining ML models in production environments.
- Contributions to open-source ML projects or published research.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Generous paid time off and flexible work arrangements.
- 401(k) matching program.
- Professional development opportunities, including conferences and training.
- Collaborative and inclusive company culture.
- Opportunity to work on cutting-edge AI technologies.
How to Apply
Eager to push the boundaries of machine learning? We encourage all qualified candidates to click on the application link below to apply for this exciting opportunity. Please ensure your resume highlights your relevant experience and projects.
