Machine Learning Engineer

About Us : We are a fast-growing and innovative tech company specializing in AI-driven solutions. Our mission is to revolutionize the way businesses interact with their customers. As a part of our team, you'll have the opportunity to work on cutting-edge projects, gain hands-on experience, and contribute to the development of AI-powered products. Job Description : As an AI Intern, you will be an integral part of our dynamic and talented development team. You will work closely with experienced AI engineers to design, develop, and optimize AI-driven applications using Python, Django, NLP, PyTorch, and TensorFlow. This internship offers a unique chance to apply your technical expertise to real-world projects, gain practical knowledge, and contribute to the growth of our AI solutions. Responsibilities:

Design and develop optimized frameworks for TTS, VC, ASR, and LLM, Vision models (Mask R-CNN, YOLO series) leveraging techniques such as quantization, caching mechanisms, and asynchronous functions to achieve low latency and high performance.

Contribute to the research and development of advanced generative AI models such as LLM’s , GANs, VAEs, Diffusion Models, and novel architectures.

Fine-tune and optimize pre-trained models (e.g., BERT, Transformers, Diffusion Models) for specific audio and language tasks, ensuring high accuracy and robustness.

Integrate and deploy models using frameworks such as ONNX, TensorFlow, PyTorch, and Hugging Face, ensuring seamless integration with production environments.

Implement MLOps practices, including version control (Git), continuous integration/continuous deployment (CI/CD), model monitoring, and model serving.

Collaborate with cross-functional teams, including researchers, engineers, and product managers, to align research efforts with business goals and ensure successful implementation of developed technologies.

Stay up-to-date with the latest advancements in machine learning, audio processing, and natural language processing, and contribute to research and development efforts. Requirements:

Strong focus on machine learning, audio processing, and natural language processing.

Proven experience in developing and deploying machine learning models for audio and language applications, with a deep understanding of state-of-the-art techniques and algorithms.

Proficiency in programming languages such as Python or C++, and relevant machine learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face, ONNX).

Experience with MLOps practices, including version control (Git), CI/CD, model monitoring, and model serving.

Knowledge of cloud platforms (e.g., Azure, GCP, AWS) and deployment tools.

Strong research background, with publications in reputable conferences and journals related to machine learning, audio processing, and natural language processing (not required).

Excellent problem-solving, analytical, and critical thinking skills.

Strong communication and collaboration skills, with the ability to work effectively in a team environment. Benefits :

Monthly Stipend

Gain hands-on experience working on AI-driven projects.

Opportunity for future full-time employment based on performance during the internship.

Flexible work hours and remote work options.

Chance to contribute to cutting-edge AI solutions with real-world impact. Note: Only shortlisted candidates will be contacted for further evaluation. This is a paid internship position with the potential for a full-time job offer based on performance and company requirements.