Position Overview: We are seeking an experienced AI/ML Data Scientist to join our dynamic team. The ideal candidate has 3 to 7 years of hands-on experience in developing and deploying AI/ML solutions. As a Data Scientist, you will be responsible for leveraging your expertise to drive data-driven insights, develop predictive models, and contribute to the advancement of our AI-driven initiatives.

Responsibilities:

1. Data Analysis and Exploration:

   • Collect, preprocess, and analyze large datasets to uncover meaningful patterns and trends.
   • Perform exploratory data analysis to identify data quality issues, outliers, and potential feature engineering opportunities.

2. Model Development:

   • Develop and deploy machine learning models that solve complex business problems, utilizing algorithms such as regression, classification, clustering, and deep learning.
   • Collaborate with cross-functional teams to identify suitable features, choose appropriate algorithms, and optimize model performance.

3. Feature Engineering:

   • Engineer and select relevant features from raw data, enhancing model effectiveness and interpretability.
   • Implement techniques such as dimensionality reduction, feature scaling, and transformation to improve model outcomes.

4. Model Evaluation and Validation:

   • Design and conduct rigorous model validation experiments, including cross-validation and hyperparameter tuning.
   • Evaluate model performance using appropriate metrics and analyze results to iteratively improve model accuracy.

5. Deployment and Integration:

   • Integrate AI/ML models into production systems, ensuring scalability, robustness, and real-time capabilities.
   • Collaborate with software engineering teams to implement APIs and interfaces for seamless model integration.

6. Data Visualization and Communication:

   • Visualize and communicate complex model insights and results to both technical and non-technical stakeholders.
   • Prepare and deliver clear, concise presentations that highlight the value of AI/ML solutions.

7. Continuous Learning and Innovation:

   • Stay current with industry trends, emerging technologies, and best practices in AI/ML.
   • Propose and implement innovative approaches to enhance model performance and business outcomes.

Qualifications:

• Bachelor’s/Master’s/Ph.D. degree in Computer Science, Data Science, Statistics, or a related field.
• 3 to 7 years of professional experience in AI/ML model development and deployment.
• Proficiency in programming languages such as Python, R, or Julia.
• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of statistical analysis, experimental design, and model evaluation techniques.
• Experience with big data processing tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
• Strong communication skills, both written and verbal, to effectively convey complex concepts to diverse audiences.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Professional development opportunities and training.
• Impactful role in shaping the company’s AI-driven strategies.

Join us in revolutionizing our industry with data-driven AI/ML solutions. Apply now to be a part of our dynamic team!