Gen AI / ML Developer

At NestifyTech Solutions, looking a highly skilled and motivated Generative AI / Machine Learning Developer to design, develop, and deploy cutting-edge AI/ML solutions with a focus on generative models (e.g., LLMs, GANs, VAEs). The ideal candidate will have hands-on experience in developing machine learning pipelines, fine-tuning large models, and integrating AI capabilities into real-world applications.

Key Responsibilities:

• Develop and deploy generative AI models using technologies such as GPT, BERT, DALL·E, Stable Diffusion, or similar.

• Fine-tune and optimize large language models (LLMs) and other foundation models for specific business use cases.

• Build and maintain end-to-end ML pipelines including data ingestion, preprocessing, model training, evaluation, and deployment.

• Collaborate with cross-functional teams including product managers, data engineers, and software developers to implement AI-driven features.

• Conduct research on the latest trends in generative AI and propose innovative solutions to real-world problems.

• Ensure the scalability, performance, and robustness of deployed AI/ML models.

• Apply responsible AI principles including model interpretability, fairness, privacy, and security.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• 3+ years of experience in ML/AI development; at least 1 year with generative AI.

• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).

• Experience working with LLMs (e.g., GPT, Claude, LLaMA, Mistral) or generative models (GANs, VAEs, Diffusion).

• Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow).

• Experience with REST APIs, containerization (Docker), and cloud platforms (AWS, GCP, Azure).

Preferred Qualifications:

• Experience fine-tuning or training LLMs on proprietary data.

• Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate).

• Exposure to LangChain, LlamaIndex, or other LLM orchestration frameworks.

• Knowledge of prompt engineering and retrieval-augmented generation (RAG).

• Published research, open-source contributions, or patents in AI/ML.

Soft Skills:

• Strong problem-solving and analytical thinking.

• Effective communication and teamwork skills.

• Ability to work in a fast-paced, dynamic environment.

• Passion for innovation and continuous learning in AI/ML.