Optomi, in partnership with a global leader in the energy industry, is seeking a Lead AI Data Scientist to join their team. You will be responsible for driving AI and machine learning initiatives, guiding a team of data scientists and engineers, and collaborating with cross-functional teams to develop advanced AI models and data-driven solutions.
What the right candidate will enjoy!
The opportunity to work a hybrid schedule!
Working for a company who has over 150+ years of service!
Working for a company who was named by Fortune's 2021 'World's Most Admired Companies!'
Working for a company who has committed more than $8 million to social justice and racial equity organizations with $1 million in employee-directed grants!
What the right candidate will have:
5+ years of experience in AI/ML research, data science, or software development.
Proven track record of successfully developing AI/ML models in a production environment.
Experience managing and/or mentoring teams of data scientists and engineers.
Strong understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) and tools (e.g., Jupyter Notebooks, Git).
Proficiency in programming languages such as Python, R, or Java.
Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.).
Solid understanding of data structures, statistics, and probability theory.
Familiarity with cloud computing platforms (Azure and AWS) and ML Ops tools for model deployment and monitoring.
Experience with big data technologies (e.g., Hadoop, Spark, SQL/NoSQL databases) is a plus.
Experience in specific AI domains such as NLP, computer vision, speech recognition, or robotics.
Familiarity with ethical AI, model interpretability, and AI governance practices.
Contributions to open-source AI projects or publications in top-tier AI/ML conferences.
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving, analytical, and critical thinking skills.
Proven ability to work in a fast-paced, agile environment and manage multiple priorities.
A collaborative mindset with a focus on team success and continuous learning.
Responsibilities of the right candidate:
Develop and deploy machine learning models using Azure ML Studio and Databricks.
Create scalable AI solutions leveraging Azure's cloud infrastructure.
Optimize data workflows and model performance across our Azure-based AI ecosystem.
Lead and mentor a team of AI researchers, data scientists, and engineers to drive innovative solutions.
Define and implement AI strategies aligned with business goals and product roadmaps.
Collaborate with senior leadership and stakeholders to translate business problems into data-driven AI solutions.
Drive the adoption of best practices in machine learning, data science, and model development.
Lead the design, development, and deployment of complex machine learning and AI models (e.g., deep learning, reinforcement learning, NLP, computer vision, etc.).
Act as a liaison between technical teams and non-technical stakeholders to ensure alignment on project goals, timelines, and expectations.
Foster a culture of innovation, knowledge-sharing, and continuous learning within the team.