Sr ML Developer - Data Engineering

Key Skills

Aartificial intelligence, AWS, Azure, Computer Vision (CV), Deep Learning, Effective communication skills, Google Cloud Platform (GCP), IT, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, R Programming, TensorFlow

Job Description

• Solution Design: Collaborate with stakeholders to understand business requirements and translate them into AI/ML solutions. Identify suitable algorithms, models, and techniques to solve specific problems effectively.
• Model Development: Develop, implement, and evaluate machine learning models and algorithms. This includes data preprocessing, feature selection, model training, hyperparameter tuning, and performance evaluation.
• Data Analysis: Analyze and explore large datasets to identify patterns, trends, and insights that can drive decision-making and improve AI/ML models. Apply statistical techniques and data visualization methods to interpret and present findings.
• Data Management: AI/ML systems heavily rely on data. The AI/ML Sr. Developer plays a crucial role in defining data requirements, designing data pipelines, and establishing data governance practices. They ensure data quality, security, and privacy considerations are addressed throughout the AI/ML lifecycle.
• Software Development: Write clean, efficient, and scalable code to implement AI/ML models and algorithms. Collaborate with software engineers to integrate AI/ML solutions into existing applications and platforms.
• Testing and Evaluation: Conduct thorough testing and validation of AI/ML models to ensure accuracy, reliability, and robustness. Use techniques such as cross-validation, A/B testing, and performance metrics analysis to assess model performance.
• Deployment and Maintenance: Deploy AI/ML solutions in production environments, ensuring scalability, stability, and security. Monitor and maintain deployed models, implementing updates and enhancements as needed.
• Collaboration and Leadership: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to drive AI/ML initiatives. Provide technical guidance and mentorship to junior team members, fostering their professional growth.
• Research and Innovation: Stay updated with the latest advancements in AI/ML technologies, tools, and methodologies. Conduct research and experiments to explore new approaches and improve existing models.
• Documentation: Document project requirements, methodologies, and outcomes. Prepare technical reports, presentations, and user guides to effectively communicate AI/ML solutions to stakeholders.
• Ethical and Legal Considerations: Ensure compliance with ethical standards and legal requirements when dealing with sensitive data, privacy concerns, and potential biases in AI/ML models.
• Please note that this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice.

Work Experience/KSA’s

• Required:
• 5-7 years – Experience in Python, R or another Programming language
• 5-7 years – Experience with TensorFlow, PyTorch, or scikit-learn
• 3-5 years – Experience with cloud computing platforms such as AWS, Azure, or GCP

• 3-5 years – Experience with data mining and statistical analysis
• 3-5 years – Experience with natural language processing (NLP)
• 2-4 years – Experience with Deep learning, Compute Vision, Reinforcement learning
• 2-4 years – Experience with ethical considerations in machine learning

• Preferred:
• 7-10 years – Experience in Python, R or another Programming language
• 7-10 years – Experience with TensorFlow, PyTorch, or scikit-learn
• 5-7 years – Experience with cloud computing platforms such as AWS, Azure, or GCP
• 5-7 years – Experience with data mining and statistical analysis
• 5-7 years – Experience with natural language processing (NLP)
• 3-5 years – Experience with Deep learning, Compute Vision, Reinforcement learning
• 3-5 years – Experience with ethical considerations in machine learning

Competencies

• Listens and responds constructively to other team members' ideas
• Proven leadership qualities
• Pays close attention to detail, accuracy and completeness
• Promptly notifies his/her manager about any problems that affect his/her ability to accomplish planned goals
• Expresses pride in the group and encourages people to feel good about their accomplishments
• Must be a resourceful and innovative problem solver
• Ability to work in a professional manner, be flexible, and handle interactions with all levels of the organization
• Demonstrate ability to communicate well with other members of the IT department
• Self-directed, organized, and motivated
• Good written and verbal communications skills are required
• Excellent Team Player

Education

• Minimum Required: 
• Bachelor's Degree in Computer Science or Engineering

• Preferred: 
• Master's Degree in Computer Science or Engineering

Typical Compensation Range

Pay Rate Type: Salary

$106,022.00 - $148,430.00 / Yearly