Senior AI / ML Engineer (58 Years Experience)
Job Type : Full-time
About the Role :
We are seeking a highly skilled and innovative Senior AI / ML Engineer with 5- 8 years of experience in Predictive ML, Generative AI (GenAI), and Agentic AI. The ideal candidate will have a proven track record in designing, developing, and deploying advanced AI / ML models, along with a passion for solving complex business problems.
In this role, you will :
- Build AI / ML, GenAI, and Agentic AI-powered solutions that deliver measurable business impact.
- Lead the design, development, and deployment of cutting-edge machine learning algorithms.
- Stay ahead of industry trends by conducting research on the latest AI / ML advancements.
- Mentor and guide junior AI engineers, fostering innovation and technical Responsibilities :
- Architect and implement ML, DL, and LLM models for real-world business challenges.
- Develop and fine-tune Large Language Models (LLMs) and apply prompt engineering techniques.
- Build RAG (Retrieval-Augmented Generation) systems using embeddings and vector databases (FAISS, Pinecone, etc.).
- Work with Agentic AI frameworks (Autogen, LangGraph, CrewAI, Agentforce, etc.) to build intelligent agents.
- Integrate AI solutions with cloud platforms (AWS, GCP, Azure), leveraging their GenAI services.
- Design and deploy scalable AI / ML solutions for production environments.
- Perform data extraction, SQL scripting, and ETL pipeline design for large-scale datasets.
- Collaborate with stakeholders to translate business needs into actionable AI / ML : Bachelors or Masters in Computer Science, AI / ML, Data Science, or a related field.
Experience :
5- 8 years of hands-on experience in machine learning, deep learning, and LLM-based solutions.Strong expertise in Python (NumPy, Pandas, Scikit-learn), TensorFlow, PyTorch, Hugging Face Transformers, or MLlib.Proven experience with Generative AI, prompt engineering, LLM fine-tuning, and vector search databases.Familiarity with cloud-based AI services (AWS, GCP, Azure).Solid knowledge of Agentic AI tools and frameworks.Strong problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical Skills :Knowledge of MLOps best practices for deployment and monitoring.Familiarity with data privacy, compliance, and ethical AI guidelines.Prior experience leading AI / ML teams and managing project lifecycles.(ref : hirist.tech)