AI/ML Engineer

AI/ML Engineer (3-6 Years Experience)

The Role

We are looking for a talented and experienced AI/ML Engineer with 3-6 years of experience to join our team. The ideal candidate will have a strong foundation in machine learning and deep learning, with a proven track record of developing and deploying models for voice and image-based applications. In this role, you will be a key contributor, responsible for the end-to-end lifecycle of our AI models, from research and development to production and maintenance.

Key Responsibilities

• Design, develop, and deploy scalable and robust machine learning models for computer vision (e.g., object detection, image classification, segmentation) and speech/audio processing (e.g., ASR, speech enhancement, speaker recognition).
• Conduct research and implement state-of-the-art algorithms and frameworks to improve model performance and efficiency.
• Collaborate with data scientists, product managers, and software engineers to translate business requirements into technical solutions.
• Manage the data pipeline, including data collection, cleaning, annotation, and preprocessing for both voice and image datasets.
• Optimize and fine-tune existing models for performance, latency, and resource efficiency.
• Develop and maintain the MLOps pipeline, ensuring seamless integration of models into production environments.
• Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.
• Contribute to the technical vision and strategy of the AI team.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
• 3-6 years of hands-on professional experience as an AI/ML Engineer.
• Strong proficiency in Python and familiarity with core data science libraries such as NumPy, Pandas, and Scikit-learn.
• Extensive experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• Demonstrable experience in building and deploying models for Computer Vision using techniques like CNNs, R-CNNs, YOLO, and frameworks like OpenCV.
• Demonstrable experience in building and deploying models for Speech/Audio Processing using techniques like RNNs, LSTMs, Transformers, and libraries like torchaudio, librosa, or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker).
• Knowledge of MLOps practices, including model serving, monitoring, and pipeline automation.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Preferred Qualifications

• Experience with real-time or low-latency AI applications.
• Knowledge of generative AI models (e.g., GANs, Transformers) for voice or image synthesis.
• Experience with edge AI and model optimization for mobile or embedded devices.
• Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
• Prior experience in a startup environment.

What We Offer

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technologies and impactful projects.
• A collaborative and innovative work environment.
• Professional development opportunities.

Job Type: Full-time

Application Question(s):

• Current CTC?
• Expected CTC?
• Notice Period
• Current location?

Work Location: In person