Data Scientist AI/ML Developer (02 to 5 Years Experience)

Job Description

Data Scientist AI/ML DeveloperLocation: AhmedabadEmployment Type: Full-timeJob Summary:We are looking for an innovative and skilled Data Scientist to join our team. The ideal candidate will have a strong understanding of data science methodologies, experience in working with machine learning models, and hands-on experience in advanced technologies like OpenCV, Generative Adversarial Networks (GANs), Lang Chain, and Generative AI. This position is open to freshers as well as candidates with up to 5 years of experience.Key Responsibilities: Data Collection & Analysis: Gather, clean, and analyze large datasets (structured and unstructured) for a wide range of applications. Model Development & Training: Build, train, and evaluate machine learning and deep learning models for tasks related to computer vision, NLP, and generative AI. Implement Computer Vision Solutions: Use OpenCV to build solutions for image classification, object detection, facial recognition, and other vision-based tasks. Generative AI & GANs: Develop and fine-tune Generative Adversarial Networks (GANs) for synthetic data generation, image manipulation, and related tasks. Work with Large Language Models (LLMs): Utilize LangChain and other large language models (GPT, BERT, etc.) to develop intelligent chatbots, automated question-answering systems, and content generation tools. Collaborate with Cross-Functional Teams: Work closely with data engineers, software developers, and business analysts to integrate data-driven insights into production environments. Research & Innovation: Stay abreast of the latest developments in AI, data science, and generative AI, and apply best practices to projects. Model Deployment: Ensure that machine learning models and data pipelines are scalable, efficient, and ready for production deployment.Required Skills: OpenCV: Strong proficiency in computer vision techniques using OpenCV for image and video processing tasks. Generative Adversarial Networks (GANs): Hands-on experience in developing and deploying GANs for generative tasks, such as image synthesis or enhancement. LangChain & Generative AI: Experience or familiarity with LangChain, GPT models, and other generative AI frameworks for developing language models and conversational AI systems. Python & ML Libraries: Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Numpy for developing and deploying machine learning models. Data Wrangling & Preprocessing: Expertise in data preprocessing, feature engineering, and working with large datasets (e.g., Pandas). Analytical & Statistical Skills: Strong understanding of statistical methods, data visualization, and model evaluation techniques.Preferred Skills: Natural Language Processing (NLP): Experience working with NLP models and text data for tasks like text classification, sentiment analysis, and conversational AI. Model Deployment: Familiarity with deploying models using cloud services (AWS, GCP, Azure) and containerization (Docker). Transformer Models: Experience with transformer architectures (BERT, GPT, etc.) and fine-tuning for specific applications. Big Data Technologies: Familiarity with big data platforms and frameworks (Hadoop, Spark) for handling large datasets.Soft Skills: Strong problem-solving skills and critical thinking. Ability to work both independently and as part of a collaborative team. Strong communication skills for presenting complex data insights. Continuous learning mindset with the ability to adapt to emerging technologies and tools.,

Keyskills :
OpenCVPythonNumpyData WranglingAnalytical SkillsCritical ThinkingCommunication SkillsGenerative Adversarial Networks GANsLangChainGenerative AITensorFlowPyTorchScikitlearnPreprocessingStatistical SkillsNatural Language Processing NLPModel