Data Scientist – Machine Learning Specialist
Forest Global Training Partners
Location: United States, Remote
Forest Global Training Partners is a leading company that specializes in training organizations on the responsible adoption of AI technologies while managing associated risks. We are seeking a skilled Data Scientist with expertise in building Machine Learning pipelines to join our dynamic team.
Role and Responsibilities:
As a Data Scientist – Machine Learning Specialist at Forest Global Training Partners, you will play a pivotal role in enabling our clients to effectively harness AI models and platforms for their business needs. You will be responsible for:
- Collaborating with clients to understand their AI requirements and business objectives.
- Designing and developing end-to-end Machine Learning pipelines tailored to clients’ needs.
- Selecting and fine-tuning appropriate machine learning algorithms and models for various AI use cases.
- Working with a range of AI platforms, including Amazon SageMaker, Microsoft Azure AI services, OpenAI’s GPT models (GPT-3, GPT-3.5, GPT-4), and Google AI Services.
- Preprocessing and transforming data to ensure it’s suitable for model training.
- Conducting thorough testing and validation of AI models to ensure optimal performance and reliability.
- Deploying models to production environments, whether on cloud platforms or on-premises setups.
- Collaborating with cross-functional teams, including engineers, AI ethicists, and business stakeholders, to ensure successful project outcomes.
- Staying current with the latest advancements in AI technologies, machine learning algorithms, and industry best practices.
- Contributing to the development of ethical and responsible AI practices within the company.
Qualifications and Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
- Proven experience (X years) as a Data Scientist with a focus on building Machine Learning pipelines and deploying models to production.
- In-depth knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience working with AI platforms such as Amazon SageMaker, Microsoft Azure AI services, OpenAI’s GPT models, and Google AI Services.
- Proficiency in programming languages like Python.
- Strong understanding of AI ethics, bias mitigation, and responsible AI practices.
- Demonstrated ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Experience with cloud platforms (AWS, Azure, GCP) and version control systems (e.g., Git).
- Problem-solving skills and the ability to adapt to new tools and techniques.
- Excellent collaboration and teamwork abilities.
- A portfolio showcasing past AI and Machine Learning projects is preferred.
- Competitive salary and benefits package.
- Opportunity to work with a diverse team of experts in AI and risk management.
- Chance to contribute to the responsible adoption of AI technologies across various industries.
- Ongoing professional development and learning opportunities.
If you are passionate about building responsible AI solutions and have a strong background in Machine Learning pipelines, we encourage you to apply and join us in shaping the future of AI adoption.
Please submit your resume, cover letter, and portfolio (if available) to on the submission form. We look forward to reviewing your application and discussing how your skills can contribute to Forest Global Training Partners.