Generative AI Engineer - Machine Learning Models

Job Title : Generative AI Engineer.

Location : Remote.

Type : Full Time.

Job Description :

Key Responsibilities :

- Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.

- Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.

- Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers.

- Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.

- Integrate and manage LLM APIs and registries (e., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).

- Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.

- Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.

- Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements.

- Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets.

- Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.

- Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.

- Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.

- Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.

- Minimum Qualifications :

- 3+ years of experience using Python and relevant packages for ML and data science.

- 2+ years of experience in delivering impactful GenAI solutions, preferably in Private AI and Smart Agentic Systems.

- 5+ years of experience in one or more of the following areas :.

- Predictive Analytics.

- Machine Learning and Deep Learning.

- Generative AI.

- Data Design.

- ML Ops / AI Infrastructure.

- Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.

- Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Soft Skills :.

- Strong problem-solving skills and critical thinking.

- Effective communicator capable of translating complex AI topics to stakeholders.

- Self-driven, collaborative, and adaptable to fast-paced environments.