Posted:2 months ago| Platform:
Work from Office
Full Time
Company Name: Karini AI Job Title: Generative AI Engineer Location: Wakad, Pune (Onsite) Employment Type: Full-time Job Overview: Karini AI is looking for a highly motivated and skilled Generative AI Engineer to join our AI team. The ideal candidate should have expertise in Large Language Models (LLMs), Machine Learning (ML), and Deep Learning . We are looking for problem solvers, collaborative team players, and passionate individuals eager to work on cutting-edge AI technologies. If you aspire to be part of an innovative team and accelerate your career in AI, this is the perfect opportunity for you! Roles & Responsibilities: Collaborate with researchers, engineers, and domain experts to design, develop, and optimize Agentic AI applications . Fine-tune LLMs on large-scale datasets to enhance performance and accuracy. Develop compelling demos and lead proof-of-concept (PoC) projects. Stay updated with the latest research advancements in Generative AI and implement best practices. Deploy large-scale machine learning models in cloud-based environments. Mandatory Technical Skills: Hands-on experience in Generative AI and Deep Learning . Advanced knowledge of prompt engineering . Strong experience in PyTorch and working with GPUs . Proficiency in Python (Intermediate to Advanced level). Understanding of model fine-tuning and distributed computing in the cloud. Eligibility Criteria: Bachelors degree in Computer Science, AI, or a related field (4-year program). Masters degree in Artificial Intelligence or a related domain (preferred). Proven experience working as an AI Engineer with a strong foundation in Generative AI . Proficiency in deep learning frameworks and NLP techniques. Experience with cloud-based infrastructure for deploying machine learning models. Key Skills: Generative AI, Deep Learning, Machine Learning, Natural Language Processing (NLP), PyTorch, Python, Cloud Computing, LLM Fine-Tuning .
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Mumbai, Bengaluru, Gurgaon
INR 32.5 - 37.5 Lacs P.A.
Chennai, Pune, Mumbai, Bengaluru, Gurgaon
INR 35.0 - 42.5 Lacs P.A.
Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata
INR 8.0 - 12.0 Lacs P.A.
Pune, Bengaluru, Mumbai (All Areas)
INR 0.5 - 0.7 Lacs P.A.
INR 2.5 - 5.5 Lacs P.A.
INR 3.0 - 4.5 Lacs P.A.
Bengaluru
INR 3.0 - 3.0 Lacs P.A.
Bengaluru
INR 3.5 - 3.75 Lacs P.A.
INR 2.5 - 3.0 Lacs P.A.
INR 4.0 - 4.0 Lacs P.A.