About Company
Join Career.zycto and revolutionize industries with cutting-edge AI. We are an innovative technology firm situated in the vibrant Locust Point area, dedicated to pushing the boundaries of machine learning and data science to solve complex real-world challenges. For a Machine Learning Engineer, Career.zycto offers an unparalleled environment to innovate, develop sophisticated algorithms, and see your contributions directly impact product development. We foster a culture of curiosity, continuous learning, and collaborative problem-solving, making it the perfect place to grow your expertise and make a tangible difference in the AI landscape.
Job Description
A Machine Learning Engineer at Career.zycto will be at the forefront of designing, developing, and deploying advanced machine learning models that drive our core products and services. You will work within a dynamic and collaborative team, translating complex data into actionable insights and robust predictive systems. This role requires a deep understanding of machine learning principles, strong programming skills, and a passion for tackling challenging problems. You’ll be instrumental in the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and production deployment, ensuring scalability, reliability, and performance.
Our ideal candidate is a proactive problem-solver with a knack for turning theoretical concepts into practical, impactful solutions. You’ll engage with various stakeholders, including data scientists, software engineers, and product managers, to understand business needs and deliver innovative AI-powered features. This is an exciting opportunity to contribute to a company that values innovation and empowers its engineers to explore new technologies and methodologies. We are committed to fostering an environment where your expertise is not only valued but actively sought after to shape the future of our technological offerings.
You will be expected to stay current with the latest advancements in machine learning, deep learning, and artificial intelligence, constantly seeking ways to improve our models and infrastructure. This position demands a blend of analytical rigor, creative problem-solving, and meticulous attention to detail. If you are passionate about building intelligent systems, thrive in a fast-paced environment, and are eager to make a significant impact on real-world applications, we encourage you to apply and join our mission to redefine what’s possible with AI. We believe in providing the tools, resources, and freedom necessary for our engineers to excel and push the boundaries of their craft.
Key Responsibilities
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data ingestion, training, and deployment.
- Collaborate with data scientists to translate research prototypes into production-ready solutions.
- Evaluate and optimize the performance, accuracy, and reliability of ML models.
- Develop and implement A/B testing frameworks for model validation and improvement.
- Monitor production models and troubleshoot issues to ensure system stability and performance.
- Participate in code reviews and contribute to the team's engineering best practices.
- Stay up-to-date with the latest advancements in machine learning and deep learning technologies.
- Communicate complex technical concepts to non-technical stakeholders effectively.
Required Skills
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of machine learning algorithms and principles (supervised, unsupervised learning, reinforcement learning).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
- Solid understanding of software development best practices, including version control (Git).
- Experience with SQL and working with relational and non-relational databases.
- Excellent problem-solving skills and an analytical mindset.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Docker, Kubernetes).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Experience with real-time ML systems.
- Publications in relevant machine learning conferences or journals.
- Proven ability to lead technical projects or mentor junior engineers.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching.
- Generous paid time off, including holidays and sick leave.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge technologies and tools.
- Collaborative and inclusive work environment.
- Modern office space in Locust Point with amenities.
- Regular team-building events and social gatherings.
How to Apply
Ready to make an impact? We invite qualified candidates to submit their application by clicking the link below. Please ensure your resume and cover letter highlight your relevant experience and passion for machine learning. We look forward to reviewing your application!
