Python AI/ML Developer (Gen AI focus)
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FULL TIME – Onsite ( No Remote )
Python AI/ML Developer (Gen AI focus)
Experience 3+ Years
No of Openings 3
Responsibilities
• Develop and implement AI/ML solutions, with a focus on Generative AI models and applications.
• Collaborate with cross-functional teams to understand business requirements and deliver AI-powered functionalities.
• Fine-tune and deploy models such as GPT, BERT, or other transformer-based architectures for specific use cases.
• Write clean, efficient Python code for data processioning, model training, and deployment.
• Experiment with model optimization techniques, including parameter tuning and algorithmic innovations.
• Build APIs and integrate AI/ML solutions into scalable applications.
• Stay updated with advancements in Generative AI and contribute innovative ideas to projects.
• Maintain and improve existing AI pipelines to ensure scalability, efficiency, and robustness.
• Document technical processes, tools, and findings for internal knowledge sharing.
Requirements
• Experience: At least 3 years of professional experience in AI/ML development, focusing on Python-based solutions.
• Programming Skills: Proficiency in Python and relevant libraries/frameworks (e.g., PyTorch, TensorFlow, Hugging Face, OpenAI API).
• AI/ML Expertise: Practical experience with transformer models, large language models (LLMs), and NLP.
• Data Skills: Strong skills in data processioning, feature engineering, and handling structured and unstructured datasets.
• Deployment: Knowledge of containerization (Docker), cloud platforms (AWS, Azure, or GCP), and ML model deployment pipelines.
• Problem-Solving: Ability to translate complex problems into structured solutions using AI-driven approaches.
• Collaboration: Strong communication skills and ability to work effectively within a multidisciplinary team.
• Tools & Platforms: Familiarity with version control (Git), CI/CD workflows, and MLOps tools.
Preferred Qualifications
• Hands-on experience with fine-tuning and prompt engineering for LLMs.
• Knowledge of Reinforcement Learning with Human Feedback (RLHF).
• Exposure to Generative AI models in domains like computer vision or speech (e.g., GANs, VAEs, Whisper).
• Familiarity with microservices architecture and RESTful API design.
• Passion for exploring and implementing innovative AI solutions.
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