Senior AI Engineer
About the Company
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.
Location. This role is office-based at our Trivandrum, Kerala office.
What You'll Do (Key Responsibilities)
- Translating business requirements into requirements for AI/ML models.
- Preparing data to train and evaluate AI/ML/DL models.
- Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers.
- Adopt or invent new ML, analytical and causal modeling techniques for solving disparate customer problems.
- Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations.
- Deploying the models in production by containerizing the models.
- Working with customers and internal employees to refine the quality of the models.
- Establishing continuous learning pipelines for models with online learning or transfer learning.
- Building and deploying containerized applications on the cloud or on-premise environments
Required Qualifications
- BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience).
- 8+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills.
- Familiarity with containers, numeric libraries, modular software design.
- Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning modeling.
- Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc).
- Experience with solving and using machine learning for real-world problems.
Preferred Experience and Skills
- Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems.
- Proven experience producing computationally eicient software to meet real-time requirements.
- Background with container platforms such as Kubernetes.
- Strong analytical skills with a bias for action.
- Background in causal analysis and modeling
- Strong time-management and organization skills to thrive in a fast-paced, dynamic environment.
- Solid written and oral communications skills.
- Good teamwork and interpersonal skills.
Compensation & Benefits
For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.
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You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
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