Job Description

This is a remote position.We are looking for a Senior Data Scientist to play a pivotal role in our research and innovation team as we bring our next-generation business growth platform to the world. In this position, you\'ll be at the forefront of designing and building the future of our Machine Learning capabilities, with a strong focus on generative AI.Responsibilities:

• Drive product innovation and strategic decisions by conducting and leading cutting-edge research in AI technologies, with a focus on generative AI and large language models, and translating findings into concrete, implementable strategies and features for product development.

• Design and implement innovative machine learning solutions that advance our product capabilities and meet scalability requirements.

• Collaborate with cross-functional teams to translate research findings into practical, high-impact product features.

• Drive the adoption of best practices in AI ethics and responsible AI development across the organization.

• Continuously evaluate and integrate emerging AI technologies to keep company at the forefront of the field.

• Develop and maintain robust, scalable AI architectures that can grow with our platform and business needs.

• Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

• Actively contribute to the company\'s intellectual property portfolio through research publications and patent applications.

• Pursue ongoing professional development through continuous learning, attending conferences, and staying updated with the latest advancements in AI and data science.

Requirements

• Advanced degree (Ph.D. preferred) in Computer Science, Data Science, Machine Learning, Mathematics or a related field

• Minimum of 5 years of professional experience (2+ in Machine Learning), with a focus on developing and deploying innovative solutions.

• Experience in the full product development lifecycle, from ideation to deployment and optimization.

• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP, particularly with transformer architectures and large language models.

• Strong programming skills in Python and proficiency with data manipulation and modeling libraries (e.g., NumPy, Pandas, SciPy, Scikit Learn).

• Experience with cloud-based machine learning and generative AI platforms (e.g., AWS SageMaker and Bedrock).

• Solid understanding of statistical analysis, experimental design, and hypothesis testing.

• Experience with MLOps practices and tools for managing the full lifecycle of ML models.

• Proficiency in writing clean, well-documented code and troubleshooting complex issues.

• Expertise in model monitoring and evaluation techniques, including designing and implementing systems for tracking model performance, detecting drift, and ensuring reliability in production.

• Strong analytical skills for reviewing and constructing features within complex relational database and query structures.

• Database expertise, especially in PostgreSQL, with knowledge of large-scale/enterprise architecture, optimization, and security.

• Experience with data visualization tools and techniques for communicating complex findings to various audiences.

• Familiarity with AI ethics and best practices in responsible AI development.

• Creativity in developing elegant solutions to challenging problems, particularly in AI and machine learning contexts.

• Strong problem-solving skills and ability to work independently on complex projects.

• Familiarity with emerging trends in AI research and ability to apply cutting-edge techniques to practical problems.

• Advanced project management skills, including articulating timelines, goals, and trade-offs clearly.

• Demonstrated ability to lead research initiatives and translate findings into practical product features.

• Ability to work independently and collaboratively in cross-functional teams.

• Strategic thinking ability to balance immediate solutions with long-term scalability. in system design.

• Excellent written and verbal communication skills in English.

• Driven, self-motivated, adaptable, empathetic, energetic, detail-oriented.

Preferred Qualifications:

• Additional years of development experience beyond the required minimum, particularly in AI and machine learning domains.

• Demonstrated track record of being a respected opinion leader in technical discussions and decision-making processes.

• A portfolio of personal side projects showcasing creativity and passion for AI and data science.

• Contributions to the field through publications, patents, or open-source projects.

• Track record of contributions to the field through publications, patents, or open-source projects.

• Deep interest and experience with data warehousing, business intelligence, and predictive analytics.

Experience presenting at technical conferences or publishing in peer-reviewed journals.

• Strong mentoring capabilities to guide and develop junior team members.

• Familiarity with emerging trends in AI research and ability to apply cutting-edge techniques to practical problems.

Education:

• Master\'s (Preferred)

Experience:

• Startup: 2 years (Required)

• PyTorch: 2 years (Required)

Benefits

• Work Location: Remote

• 5 days working

Infraveo Technologies