Generative AI and Machine Learning Engineer (3–4 Years Experience)
Brilworks is looking for a GenAI and Machine Learning Engineer with 3–4 years of experience to design, develop, and deploy intelligent solutions using Generative AI, Machine Learning, and Large Language Models (LLMs) such as Llama2, ChatGPT, and other transformer-based models.
The role focuses on building scalable, production-ready AI systems while collaborating with cross-functional teams.
Key Responsibilities
Design and develop Machine Learning and Generative AI solutions for real-world applications.
Build, fine-tune, and optimize LLM-based models using prompt engineering and parameter-efficient techniques.
Develop and maintain RAG (Retrieval-Augmented Generation) pipelines.
Work with Vector Databases for embeddings and semantic search.
Perform data preprocessing, feature engineering, and model evaluation.
Deploy ML and Gen AI models via APIs and backend services.
Monitor and improve model performance in production environments.
Collaborate with product, engineering, and data teams.
Mentor junior engineers and contribute to technical reviews.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or related field.
3–4 years of experience in Machine Learning or AI development.Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
Hands-on experience with Generative AI and LLMs (Llama2, ChatGPT, Hugging Face models).Experience working with Vector Databases and embeddings.
Good understanding of NLP, ML algorithms, and transformer architectures.
Strong analytical, problem-solving, and communication skills.
Good to Have
Experience with LangChain, LlamaIndex, or Gen AI orchestration frameworks.
Exposure to cloud platforms (AWS/GCP/Azure).
Familiarity with MLOps, model deployment, and monitoring.
Experience in Agile or fast-paced development environments.
Why Join Brilworks
Work on cutting-edge Gen AI and Machine Learning projects.
Opportunity to build production-grade AI systems.
Collaborative and growth-oriented work culture.
Continuous learning and career development opportunities.
Job Type: Full-time
Pay: ₹900,000.00 - ₹1,200,000.00 per year
Benefits:
Health insurance
Provident Fund
Work Location: In person