Sr. Python/AI ML Developer
- Position - 01
- Job Location - Ahmedabad
- Qualification - Any Graduate
- Years of Exp - 3+ Years
About us
The vision from the start has been to create a state-of-the-art infrastructure of the workplace with the implementation of all the tools for employees and clients makes Bytes Technolab a growth hacker. This has really helped the dev team in adapting to the existing & upcoming technologies & platforms to create top-notch software solutions for businesses, startups, and enterprises.
Roles & responsibilities
- 3+ years of professional experience in Machine Learning and Artificial Intelligence. Strong proficiency in Python programming and its libraries for ML and AI (NumPy, Pandas, scikit-learn, etc.)
- Hands-on experience with ML/AI frameworks like PyTorch, TensorFlow, Keras, Facenet, OpenCV, and other relevant libraries
- Proven ability to work with GPU acceleration for deep learning model development and optimization (using CUDA, cuDNN)
- Strong understanding of neural networks, computer vision, and other AI technologies
- Solid experience working with Large Language Models (LLMs) such as GPT, BERT, LLaMA, including fine-tuning, prompt engineering, and embedding-based retrieval (RAG)
- Working knowledge of Agentic Architectures, including designing and implementing LLM-powered agents with planning, memory, and tool-use capabilities
- Familiar with frameworks like LangChain, AutoGPT, BabyAGI, and custom agent orchestration pipelines
- Solid problem-solving skills and the ability to translate business requirements into ML/AI/LLM solutions. Experience in deploying ML/AI models on cloud platforms (AWS SageMaker, Azure ML, Google AI Platform)
- Proficiency in building and managing ETL pipelines, data preprocessing, and feature engineering. Experience with MLOps tools and frameworks such as MLflow, Kubeflow, or TensorFlow Extended (TFX)
- Expertise in optimizing ML/AI models for performance and scalability across diverse hardware architectures
- Experience with Natural Language Processing (NLP) and foundational knowledge of Reinforcement Learning
- Familiarity with data versioning tools like DVC or Delta Lake
- Skilled in containerization and orchestration tools such as Docker and Kubernetes for scalable deployments
- Proficient in model evaluation, A/B testing, and establishing continuous training pipelines
- Experience working in Agile/Scrum environments with cross-functional teams
- Strong understanding of ethical AI principles, model fairness, and bias mitigation techniques. Familiarity with CI/CD pipelines for machine learning workflows
- Ability to effectively communicate complex ML, AI, and LLM/Agentic concepts to both technical and non-technical stakeholders