Data Science
Machine Learning (ML)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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Shubham Vishwakarma
Full Stack Developer - Averlon
About Egnyte
About
Egnyte provides secure Enterprise File Sharing and Content Governance built from the Cloud down. Access, Share and Control 100% of your data from anywhere using any smartphone, tablet or computer.
Egnyte store billion of files and petabytes of data and we are looking for help to take the platform used by millions of users to the next level of scale. Autonomy and ownership is integral to our culture and engineers own one or more services end to end.
We’re looking for Engineers and they should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.
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- Implement secure API development practices (HTTPS, input validation, and secrets management).
- Ensure performance optimization, scalability, and reliability of backend systems.
- Collaborate with front-end developers, DevOps, and product teams to deliver high-quality solutions.
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Python (FastAPI) / Node.js (Express), Serverless Deployment (Cloudflare Workers, Firebase, GCP Functions), Google Cloud Services (Cloud Run, IAM, Secret Manager), API Security (HTTPS, Input Validation, Secrets Management).
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Payfuture is a Fintech Company, a payment gateway connector formed in 2018. We specialize in offering local payments in emerging market countries spanning the Indian subcontinent, Africa, Southeast Asia and LATAM.
Payfuture lowers the barriers of entry and provides ease of market access for an eCommerce merchant’s future expansion. We are growing at a phenomenal speed and have offices in the UK, India, The Philippines and UAE.
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We seek people who are highly capable and eager to take up new challenges. You must be motivated, enthusiastic, have an entrepreneurial mindset and possess the right temperament to handle challenging circumstances, with abilities to create novel solutions.
We believe in recognizing and rewarding talent with exceptional competencies and skills, and are building programmes to support their growth, development and career aspirations.
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The role will define QA coding standards and frameworks, identify emerging technologies and evaluate their applicability to the organization’s business goals
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• Hold a good API testing experience (using POSTMAN/Swagger/SOAPUI etc)
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- Self-driven, comfortable with a fast-paced, always user-focused.
- A portfolio that showcases experience creating visual UI systems involved in overall creative direction down to icon systems, transitions, etc.
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Bachelor's degree in Graphic Design or related field
0-1 years of experience in graphic design
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Strong communication, conceptual thinking, typography skills and design skills
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Work in an exciting and challenging role at a leading credit rating company that is leveraging software and technology tools to change the face of credit rating in India!
Our client with nearly two decades of presence has established itself as the second-largest credit rating agency in India. They provide ratings in the financial sector, infrastructure sector, corporates, public finance, and MSME spaces. The company is headquartered in Mumbai and has regional offices at Ahmedabad, Bengaluru, Chandigarh, Chennai, Coimbatore, Hyderabad, Jaipur, Kolkata, New Delhi, Pune and Mauritius.
Our client also carries out grading of IPOs, assesses financial strength of shipyards, grades various courses of Educational institutions and provides grading services to Energy service companies. They are nurturing global opportunities and have made forays in different forms with 4 partners from Brazil, Portugal, Malaysia and South Africa.
As the Senior Manager (Ratings - BFSI), you will maintaining cases and assignments undertaken by group head in the year, managing Sector reports / criteria commentary publishing
What you will do:
- Ensuring Execution of projects
- Providing inputs and commitments towards strategic/ quality decision making
- Facilitating Development & improvement of methodology for sectors
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- Handling Complex situations
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- Keeping track of changes in the respective sectors & and bringing important facts to managements notice.
- Presenting the case in the Rating Committee Meeting
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- Leading & guiding the team of analysts working in the team.
- Monitoring and measuring productivity of team members
- Modelling the leadership behaviors and coaching and mentoring junior staff
What you need to have:
- Qualifications: MBA/PGDM - Finance /CA/ICWAI
- 10-15 yrs exp in BFSI Ratings
- Excellent analytical and data interpretation skills to be able to handle complex situations
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- Excellent Communication skills
- Fluent in English
- Ability to work under tight deadlines
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Pleasing personality, infectious energy and ability to sell.
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- Willingness to be on the field (well you got to meet your clients!)
If you are a person befitting the role, do connect with us with your resume, current and expected Salary.
PS: THIS IS A WORK FROM OFFICE JOB ONLY. IF THIS IS NOT SOMETHING YOU ARE OPEN TO, PLEASE DONT APPLY.
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Full Stack Developer - Averlon