Marketing - SAAS (Founder's Office)

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).

• Strong hands-on experience with .NET Core based Web API, C#, LINQ, Entity framework.

• Strong hands-on experience on writing complex stored procedures, functions, creating views and writing complex database queries with database being SQL Server

• Nice to have: Working experience on Azure components such as Azure functions, App Services, Azure Storage such as blobs/Queues/Table storage etc., Azure DevOps, CI/CD pipelines

• Strong understanding of object-oriented programming

• Familiar with various design and architectural patterns

• Proficient understanding of code versioning tools like GIT

A) Skills Required

Essential Skills (Two top

skills)

3 possible combinations.

1. Candidate having expertise in both ElasticSearch and Kafka, preferably.

OR

2. Candidate having expertise in ElasticSearch and willing to learn Kafka.

OR

3. Candidate having expertise in Kafka and willing to learn ElasticSearch.

B) Other Information

Educational Qualifications Graduate

Experience Mid-Level (6+ years)

Minimum Qualifications:

ElasticSearch/OpenSearch

· Software Lifecycle/programing skills

· Linux

· Python

· Ingestion tools (logstash, OpenSearch Ingestion, Fluentd, fluentbit, Harness,

CloudFormation, container, images, ECS, lambda).

· SQL query

· Json

· AWS knowledge

Kafka/MSK

· Linux

· In-depth understanding of Kafka broker configurations, zookeepers, and

connectors

· Understand Kafka topic design and creation.

· Good knowledge in replication and high availability for Kafka system

· Good understanding of producers and consumer group

· Understanding Kafka partitions and scaling up

· Kafka latency/lag and throughput

· Integrating Kafka connect with various data sources can be internal or external.

· Kafka security using SSL/Certs

Job Description:

· Mechanical Engineer with 7+ years of relevant experience

· Strong Knowledge of injection Molding simulation (Cool+Fill+Pack+Warp) using Autodesk Moldflow.

· Strong Knowledge on selection of gate location, 2k and insert Molding Analysis.

· Working knowledge on Plastic Injection Mold design.

· Strong knowledge in plastic material selection and able to suggest alternate material.

· Experience in Good knowledge of injection Molding process.

· Experience in solving injection Molding issues (weld lines, sink marks, warpage, etc).

· Able to find optimized process parameters for Injection Molding process Engineer.

· Strong analytical skills and results interpretation skills.

· Working understanding of CAD software like SolidWorks, CATIA etc.

· Working experience in Product design

· Good exposure to manufacturing process

· Good Knowledge of DFMEA, DFM and DFA

Year of experience- 2+ years

Skills

• Experience with designing, developing, deploying, and maintaining secure and scalable web-based applications.
• Experience using JavaScript based frameworks- ReactJS/AngularJS, HTML/CSS, Java Script, XML, jQuery, NodeJS, Express and other related technologies.-Good understanding of data structures and algorithm-Familiarity with databases.
• Experience working with container technologies like Docker and knowledge of CI/CD processes for automated integration and deployment.-Basic knowledge of AWS preferred.

• Experience with Scrum or other Agile development methodologies.-Comfortable working in multi-disciplinary, self-organized teams.-Good at written and verbal communication skills.

• Design and develop high-quality software used by millions of customers, in an agile and iterative development culture.
• Support and maintain existing applications and develop new modules as and when required for feature enhancements.
• Adopt best practices in web development, design, testing, code review, version control, documentation, build, deployment, and operations.
• Participate in design reviews, code reviews, and provide improvement recommendations.
• Working closely with product lead, delivery lead, and other agile team members, and ensures that the desired result for our projects are achieved.