Join Our Team

About The Role

We're seeking a motivated Junior Data Scientist to join our innovative team. You'll work on cutting-edge AI and machine learning projects that transform real-world challenges into intelligent solutions. In this role, you'll develop your expertise in data analysis, model development, and implementation while collaborating with experienced professionals in a supportive environment.

Key Responsibilities

• Analyze large datasets to identify patterns and insights
• Develop and train machine learning models using Python and relevant libraries
• Collaborate with team members on AI solution development
• Preprocess and clean data for model training and validation
• Document code and maintain best practices for reproducibility
• Participate in code reviews and continuous learning opportunities
• Support the deployment and monitoring of ML models

Required Skills

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn)
• Understanding of machine learning algorithms and statistical methods
• Proficiency with data visualization tools (Matplotlib, Seaborn)
• Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
• Strong problem-solving abilities and attention to detail
• Excellent communication and teamwork skills
• Familiarity with Git version control

Nice to Have

• Experience with deep learning frameworks (TensorFlow, PyTorch)
• Knowledge of SQL and databases
• Experience with cloud platforms (AWS, GCP)
• Portfolio or GitHub projects showcasing ML work

About The Role

We're looking for an experienced Senior Data Scientist to lead our machine learning initiatives. You'll drive the architecture, design, and implementation of complex AI solutions while mentoring junior team members. This is an opportunity to make a significant impact on our product roadmap and establish best practices across our data science organization.

Key Responsibilities

• Lead the design and development of advanced machine learning models and algorithms
• Define and implement best practices for data science workflows
• Mentor and guide junior data scientists in technical development
• Collaborate with product and engineering teams to translate business requirements into ML solutions
• Conduct research on emerging AI/ML technologies and methodologies
• Optimize model performance and ensure scalability for production deployment
• Present findings and recommendations to stakeholders
• Drive continuous improvement of data pipelines and infrastructure

Required Skills

• 5+ years of professional experience in data science or machine learning
• Advanced proficiency in Python and machine learning frameworks
• Deep understanding of statistical methods and ML algorithms
• Experience with deep learning and neural networks
• Strong SQL and database knowledge
• Experience with cloud platforms and distributed computing
• Proven track record of deploying ML models to production
• Excellent leadership and communication skills
• Advanced degree in Computer Science, Mathematics, Statistics, or related field

Nice to Have

• Experience with computer vision or NLP applications
• Published research or contributions to open-source ML projects
• Experience with Kubernetes and containerization
• Knowledge of MLOps tools and practices
• Experience building data platforms and infrastructure

About The Role

We're searching for a skilled MLOps Engineer to bridge the gap between our data science and engineering teams. You'll design and maintain the infrastructure that enables rapid development, testing, and deployment of machine learning models. This role is crucial in ensuring our AI solutions scale efficiently and reliably in production environments.

Key Responsibilities

• Design and implement CI/CD pipelines for machine learning models
• Build and maintain ML infrastructure and deployment platforms
• Develop monitoring and logging systems for ML models in production
• Collaborate with data scientists to operationalize models
• Manage containerization and orchestration of ML applications
• Implement data versioning and model registry solutions
• Optimize model serving and inference performance
• Establish MLOps best practices and standards
• Troubleshoot and resolve deployment issues

Required Skills

• 3+ years of experience in DevOps, infrastructure, or MLOps
• Strong proficiency in Python and bash scripting
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Knowledge of CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions)
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Understanding of machine learning workflows and model lifecycle
• Strong problem-solving and communication skills
• Bachelor's degree in Computer Science or related field

Nice to Have

• Experience with ML frameworks and model serving (TensorFlow, PyTorch)
• Knowledge of MLOps platforms (Kubeflow, MLflow, DVC)
• Experience with monitoring and observability tools (Prometheus, ELK)
• Familiarity with Terraform or Infrastructure as Code
• Experience with data pipelines and workflow orchestration