Job Description:

As an ML Developer, you will be responsible for designing, developing, and deploying machine learning models. You will work on NLP, LLM Models, and real-time systems. Your role will also involve creating efficient and scalable ML pipelines and optimizing models.

Key Responsibilities:

• Apply machine learning fundamentals to solve real-world problems
• Work on NLP
• Preprocess data and perform feature engineering
• Build real-time inference pipelines
• Implement and deploy models using FastAPI or Flask
• Optimize models for speed, performance, and scalability
• Collaborate with cross-functional teams to deliver end-to-end solutions
• Use Git and version control to maintain and manage codebases
• Leverage Docker and Linux systems for model deployment and orchestration
• Integrate APIs from platforms like OpenAI, HuggingFace, etc.
• Ensure models perform efficiently in production environments

Required Skills & Qualifications:

• Strong proficiency in Python programming
• Solid understanding of machine learning fundamentals
• Hands-on experience with PyTorch or TensorFlow
• Ability to train and fine-tune models
• Experience with FastAPI framework
• Knowledge of Sockets or streaming systems
• Experience with Docker and Linux environments
• Understanding of GPU usage and CUDA basics
• Experience integrating APIs (OpenAI, HuggingFace, etc.)
• Ability to optimize models for speed and performance
• Strong debugging and problem-solving skills
• Experience with Git and version control systems

Experience Requirements:

• 2–4 years of industry experience (Mid-Level ML Engineer)
• Experience with audio, NLP, or real-time systems is a strong advantage

Why Join Us?

• Work with a collaborative and passionate team
• Exciting projects and cutting-edge technology
• Opportunities for career growth and skill development
• Competitive salary and benefits