Data Scientist (Radiology, LLM multi model)
at Client located in Bangalore
Data Scientist (Radiology, LLM multi model)
Location: Bangalore
Experience: 4 to 7 Years
Work mode: Remote
Job Description
We are seeking a highly skilled Senior Machine Learning Engineer with a deep passion for applying cutting-edge AI techniques to revolutionize healthcare. You will be a key contributor to our team, developing and deploying innovative solutions to address critical challenges in medical imaging.
Responsibilities
Develop and implement advanced machine learning models for image analysis, processing, and interpretation in the radiology domain.
Collaborate with radiologists and clinicians to understand their needs and translate them into technical requirements.
Explore and apply state-of-the-art deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformer-based models.
Develop and optimize machine learning pipelines for efficient data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
Conduct rigorous experimentation and analysis to improve model performance and generalizability.
Stay up-to-date with the latest advancements in machine learning and computer vision research.
Collaborate with cross-functional teams to integrate machine learning solutions into clinical workflows.
Qualifications
Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning or computer vision.
4-7 years of hands-on experience in developing and deploying machine learning models in a production environment.
Strong proficiency in Python programming and deep learning frameworks (TensorFlow, PyTorch).
Expertise in image processing, computer vision, and medical image analysis techniques.
Experience with classical machine learning algorithms and their applications.
Understanding of deep learning architectures and their application to medical imaging tasks (e.g., image classification, object detection, segmentation).
Ability to work effectively with large and complex datasets.
Strong problem-solving, analytical, and critical thinking skills.
Excellent communication and collaboration skills.
Experience in the healthcare domain is a plus.
Knowledge of cloud platforms (AWS, GCP, Azure) is a plus.
Nice to Have
Experience with natural language processing (NLP) and multi-modal models.
Knowledge of medical imaging modalities (X-ray, CT, MRI, ultrasound).
Familiarity with medical image standards (DICOM).
Subodh Popalwar
Software Engineer, Memorres
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We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.
Responsibilities
• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.
• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning
• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.
• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.
• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)
• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions
• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs
Qualifications Required
• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field
• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models
• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).
• Experience working with cloud-based platforms (AWS, GCP, Azure)
Additional Skills
• Excellent problem-solving and analytical abilities
• Strong communication skills, both written and verbal
• Ability to thrive in a collaborative and fast-paced environment
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Software Engineer, Memorres