Posted:6 days ago|
Platform:
On-site
Full Time
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.
Our core value lies with 100% integrity in communication, workflow, methodology, and flexible collaboration. With the client-first approach, we are offering flexible models of engagement that can help our clients in the best way possible.
Bytes Technolab is confident that this approach would help us develop user-centric, applicable, advanced, secure, and scalable software solutions. Our team is fully committed to adding value at every stage of your journey with us, from initial engagement to delivery and beyond.
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.
Bytes Technolab Inc.
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