11+ Clustering Jobs in Mumbai | Clustering Job openings in Mumbai

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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Data Scientist with LLM and Healthcare Expertise

Keywords: Data Scientist, LLM, Radiology, Healthcare, Machine Learning, Deep Learning, AI, Python, TensorFlow, PyTorch, Scikit-learn, Data Analysis, Medical Imaging, Clinical Data, HIPAA, FDA.

Responsibilities:

·      Develop and deploy advanced machine learning models, particularly focusing on Large Language Models (LLMs) and their application in the healthcare domain.

·      Leverage your expertise in radiology, visual images, and text data to extract meaningful insights and drive data-driven decision-making.

·      Collaborate with cross-functional teams to identify and address complex healthcare challenges.

·      Conduct research and explore new techniques to enhance the performance and efficiency of our AI models.

·      Stay up-to-date with the latest advancements in machine learning and healthcare technology.

Qualifications:

·      Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

·      6+ years of hands-on experience in data science and machine learning.

·      Strong proficiency in Python and popular data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

·      Deep understanding of LLM architectures, training methodologies, and applications.

·      Expertise in working with radiology images, visual data, and text data.

·      Experience in the healthcare domain, particularly in areas such as medical imaging, clinical data analysis, or patient outcomes.

·      Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

·      PhD in Computer Science, Data Science, or a related field.

·      Experience with cloud platforms (e.g., AWS, GCP, Azure).

·      Knowledge of healthcare standards and regulations (e.g., HIPAA, FDA).

·      Publications in relevant academic journals or conferences.

• Knowledge of OO JavaScript
• 7.2. 10+ years hands-on experience with web development using
• HTML5, JavaScript (React, Preact.js, Redux, Redux, Vue.js,
• CSS3, SignalR, Socket.io)
• 7.3. Experience building responsive design layouts using a formal
• framework like Bootstrap and familiarity with best practices
• (web security concepts, ensuring browser & device
• compatibility, etc.)
• 7.4. Experience in creating secure pre-compiled script libraries.
• 7.5. Familiar with development and debugging tools for cross-
• browser issues
• 7.6. Experience integrating with RESTful APIs for server-side

Main Tasks

• Conceptualizing creative ideas with clients.
• Testing and improving the design of the website.
• Establishing design guidelines, standards, and best practices.
• Maintaining the appearance of websites by enforcing content standards.
• Designing visual imagery for websites and ensuring that they are in line with branding for clients.
• Working with different content management systems.
• Communicating design ideas using user flows, process flows, site maps, and wireframes.
• Incorporating functionalities and features into websites.
• Designing sample pages including colors and fonts.
• Preparing design plans and presenting the website structure

Qualification profile

• Proficiency in graphic design software including Adobe Photoshop, Adobe Illustrator, and other visual design tools.
• Good understanding of content management systems.
• Good understanding of search engine optimization principles.
• Proficient understanding of cross-browser compatibility issues.
• Excellent visual design skills.
• Up-to-date experience with international web protocols, standards, and technologies.
• Creative and open to new ideas.
• Adaptable and willing to learn new techniques.
• Experience with working on Vue.js and/or Node.js would be a plus.
• Knowledge of Figma would be a plus
• Hands-on Experience on Storybook would be a plus

About SafeGold

Gold is the most trusted asset across the entire world and one of the largest asset classes in India. The total traded value of gold in India exceeds $300 billion annually – nearly all of it in an unorganised, offline manner. We, at SafeGold, are building the digital infrastructure to organise the gold market using technology. SafeGold is India’s largest digital gold platform with 35 million customers and 100+ distribution partners across India, Thailand and UAE. The focus has always been on revenues and profitability growth which has been widely recognised.

#9 in 2023 ET Growth Champions (India)

#21 in 2023 FT High Growth Companies (Asia)

With revenues of more than Rs. 4,500 crs in the year ending March-23, we have been part of the Financial Times rankings of the fastest growing startups in the Asia-Pacific region since 2021 till date. 

SafeGold is backed by the World Gold Council and leading venture capital funds, Beenext and Pravega.

Job Description

We’re a small team with insanely large ambitions. We are looking for a Software Engineer who will help shape Safe Gold’s product and marketing strategies by processing, analyzing and interpreting data sets. You will work closely with the tech, product and business teams for designing and developing a scalable application architecture, based on business requirements. The ideal candidate will have proficiency in

PHP and Relational as well as NoSql Databases (MySQL,MongoDB). You will have strong problem-solving skills and independent self-direction to thrive in our work environment.

What will your job entail:

● Implement a robust set of services and APIs to power the web application.

● Build reusable code and libraries for future use.

● Optimize the application for maximum speed and scalability.

● Implement security and data protection as per industry standards.

● Monitor the front-end and back-end aspects of the web application

● Coordinate with the product team to understand the requirements and formulate a detailed technical documentation.

● Assist junior developers if required.

Key Requirements:

● 4-7 years of experience in software development, at least 1 year of experience in a product based startup is preferable

● Strong understanding of MVC Architecture

● Atleast 2-3 years of working experience in PHP is a must have and proficiency in Laravel Framework will be a plus

● Proficient knowledge of both Relational as well as NoSql Databases (MySQL,MongoDB) is a must have

● Working knowledge of Python and Django/Flask Framework is good to have

● Familiarity with advanced JavaScript libraries and frameworks such as AngularJS, ReactJS

● Strong understanding of fundamental design principles to build a scalable application.

● Experience with implementing automated testing platforms and unit tests.

● Proficient understanding of code versioning tools (Git).

● At least 2 years of experience working on AWS cloud platform, using tools like EC2,RDS,Lambda, SQS, Elasticache

• Working with business teams across the company to define requirements and high-level process/system solutions, leading cross-functional teams (10-25) and managing the timelines for field sourcing teams to support sourcing and on-boarding of supply
• Working on strategies to acquire supply for existing business and new product lines and executing through field teams
• Driving margins improvements by improving supply acquisition cost
• Improving driver engagement and adoption to technology
• Regularly communicating with senior management and clients on status, risks and change control
• Defining KPIs/KRAs on which would form the base for different processes

Desired Candidate Profile

• Graduates from Tier 1/2/3 engineering colleges and/or Tier 2/3 management colleges
• 2-10 years of frontline operational experience in B2B domain at a city/hub level
• Ability to adapt quickly to a new environment    

We are looking for a seasoned full-stack engineer to build out and manage our entire web infrastructure. Successful candidates will have a minimum of one year recent experience with all of the skills listed below.

Our project entails implementing our pre-approved UI, constructing our API, connecting the two, and setting up our server infrastructure. This includes all associated areas such as database and architecture design.

• Design and implementation of the overall web architecture
• “Pixel-perfect” implementation of our approved user interface
• Design and deployment of our database
• Ensuring the entire stack is designed and built for speed and scalability
• Design and construction of our REST API
• Integrating our front-end UI with the constructed API
• Design and implementation of continuous integration and deployment