AI/ML Engineer

Job Title : AI/ML Engineer (LLM & Agentic AI)Location : Bengaluru, IndiaExperience : 1 - 3 yearsCompany Overview :Big Air Lab operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.Position Summary :We are looking for an AI/ML Engineer with a strong background in Python, Django, and Object-Oriented Programming (OOP).The ideal candidate should have significant experience in prompt engineering, open source model fine-tuning, and using the HuggingFace libraries.Additionally, expertise in working with cloud platforms such as AWS SageMaker or similar services for training AI models is essential.Priority will be given to candidates with a research background, particularly those who have successfully fine-tuned and deployed AI models in real-world applications.Key Responsibilities :- Develop, fine-tune, and deploy AI models using Python and Django frameworks.- Apply prompt engineering techniques to optimize model outputs and improve accuracy.- Utilize HuggingFace libraries and other ML tools to build and fine-tune state-of-the-art models.- Work on cloud platforms like AWS SageMaker or equivalent to train and deploy AI models efficiently.- Collaborate with research teams to translate cutting-edge AI research into scalable solutions.- Implement object-oriented programming (OOP) principles and problem-solving strategies in developing AI solutions.- Stay updated with the latest advancements in AI/ML and integrate new techniques into ongoing projects.- Document and share findings, best practices, and solutions across the engineering team.An ideal Candidate will have :- Strong proficiency in Python and Flask/FastAPI.- Experience in prompt engineering and fine-tuning AI models.- Extensive experience with HuggingFace libraries and similar AI/ML tools.- Strong experience in AI Agentic Architecture- Hands-on experience with cloud platforms such as AWS SageMaker for training and deploying models.- Proficiency in Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch- Hands-on experience with Docker and Git for version control.- Background in AI/ML research, with a preference for candidates from research institutes.- Demonstrated experience in training and deploying machine learning models in real-world applications.- Solid understanding of object-oriented programming and problem-solving skills.- Strong analytical skills and the ability to work independently or in a team environment.- Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.Must have skills :- Python- Object-Oriented Programming (OOP)- Prompt engineering- HuggingFace libraries and similar AI/ML tools- Open Source Model fine-tuning- AI Agentic Architecture such as LangGraph and CrewA- Docker and Git for version control.- Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or ElasticsearchGood to have :- Deep Learning and Machine Learning- AWS SageMaker or similar services for training AI models- Previous experience in academic or industrial research, with published work in AI/ML.- Proven track record of successful AI model deployments and optimizations.- Experience with databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch.Perks & Benefits :- Work on groundbreaking AI/ML projects in a collaborative and innovative environment.- Access to state-of-the-art tools and cloud platforms.- Opportunities for professional development and continuous learning.- Competitive salary. (ref:hirist.tech)