Job
Description
Python Proficiency: Solid understanding of Python syntax, data structures, and object-oriented programming principles. AI/ML Frameworks: Hands-on experience with popular AI and machine learning frameworks such as TensorFlow, PyTorch, and/or scikit-learn. Generative AI Libraries: Familiarity with generative AI libraries like Open AI, Stable Diffusion, HuggingFace Transformers, etc. Data Handling: Experience with data manipulation and analysis using libraries like Pandas and NumPy. Machine Learning Algorithms: Solid understanding of fundamental machine learning algorithms (e.g., regression, classification, clustering, deep learning). Version Control: Familiarity with Git and other version control systems. Software Development Methodologies: Understanding of Agile and Scrum methodologies. Problem-Solving: Strong analytical and problem-solving skills. Communication: Excellent communication and teamwork skills. Cloud Platforms (Optional): Some familiarity with cloud platforms like AWS, Azure, or GCP is a plus. Testing and Debugging: Proficiency in testing, debugging, and troubleshooting code related to AI/ML models. Job Description (JD) Highlights:Core Responsibilities: Developing, implementing, and testing AI and machine learning models, including generative models. Working with diverse datasets, performing data cleaning, preprocessing, and feature engineering relevant to AI/ML tasks. Integrating AI/ML models into existing applications and systems. Training, evaluating, and optimizing AI/ML models for performance and accuracy. Collaborating with data scientists, engineers, and product managers to define project goals and deliver AI-powered solutions. Staying up-to-date with the latest advancements in AI, machine learning, and generative AI technologies. Documenting code, models, and deployment processes clearly. Troubleshooting and resolving issues related to AI/ML implementations. Required Skills: Proficiency in Python and relevant AI/ML frameworks (TensorFlow, PyTorch, scikit-learn). Experience with generative AI libraries (Stable Diffusion, HuggingFace Transformers, OpenAI, etc...). Strong understanding of machine learning principles and algorithms. Experience in data manipulation and analysis using Python libraries (Pandas, NumPy). Familiarity with version control systems (Git). Strong analytical and problem-solving skills. Job Type: Full-time Pay: ₹15,000.00 - ₹41,451.62 per month Schedule: Morning shift Supplemental Pay: Yearly bonus Work Location: In person
