Data Scientist

Job Title : Python Developer – API Integration & AWS Deployment

Experience : 5+ Years

Location : Bangalore

Work Mode : Onsite

Job Overview :

We are seeking an experienced Python Developer with strong expertise in API development and AWS cloud deployment.

The ideal candidate will be responsible for building scalable RESTful APIs, automating power system simulations using PSS®E (psspy), and deploying automation workflows securely and efficiently on AWS.

Mandatory Skills : Python, FastAPI/Flask, PSS®E (psspy), RESTful API Development, AWS (EC2, Lambda, S3, EFS, API Gateway), AWS IAM, CloudWatch.

Key Responsibilities :

Python Development & API Integration :

• Design, build, and maintain RESTful APIs using FastAPI or Flask to interface with PSS®E.
• Automate simulations and workflows using the PSS®E Python API (psspy).
• Implement robust bulk case processing, result extraction, and automated reporting systems.

AWS Cloud Deployment :

• Deploy APIs and automation pipelines using AWS services such as EC2, Lambda, S3, EFS, and API Gateway.
• Apply cloud-native best practices to ensure reliability, scalability, and cost efficiency.
• Manage secure access control using AWS IAM, API keys, and implement monitoring using CloudWatch.

Required Skills :

• 5+ Years of professional experience in Python development.
• Hands-on experience with RESTful API development (FastAPI/Flask).
• Solid experience working with PSS®E and its psspy Python API.
• Strong understanding of AWS services, deployment, and best practices.
• Proficiency in automation, scripting, and report generation.
• Knowledge of cloud security and monitoring tools like IAM and CloudWatch.

Good to Have :

• Experience in power system simulation and electrical engineering concepts.
• Familiarity with CI/CD tools for AWS deployments.

What You’ll Do:

• Build and ship responsive, high-performance web applications using React.
• Translate UI/UX designs into clean, maintainable code.
• Integrate frontend with backend services via REST/GraphQL APIs.
• Optimize applications for speed, scalability, and cross-browser compatibility.
• Write reusable, modular components and maintain design consistency.
• Collaborate with product managers, designers, and engineers to deliver features end-to-end.
• Identify performance bottlenecks and improve frontend architecture.
• Participate in code reviews and contribute to best practices.

What We’re Looking For:

• 4–6 years of experience in frontend development.
• Strong hands-on experience with React.js.
• Solid understanding of JavaScript (ES6+), HTML5, and CSS3.
• Familiarity with state management (Redux / Zustand / Context API).
• Experience working with REST APIs and asynchronous programming.
• Understanding of responsive design and cross-browser compatibility.
• Experience with build tools (Webpack, Vite, etc.).
• Familiarity with Git-based workflows.
• Good problem-solving and communication skills.

Good to Have:

• Experience with testing frameworks (Jest, React Testing Library).
• Exposure to performance optimization techniques.
• Basic understanding of backend technologies (Node.js / Python).

What You’ll Work On:

• Building intuitive and scalable user interfaces for our core product.
• Improving performance and user experience across the platform.
• Contributing to frontend architecture and design systems.
• Solving real-world problems at scale.

Why Join Us

• Work on impactful products used by real customers.
• Opportunity to own features end-to-end.
• Collaborative and fast-paced environment.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Job Details

- Job Title: Lead I - Data Engineering (Python, AWS Glue, Pyspark, Terraform)

- Industry: Global digital transformation solutions provider

- Domain - Information technology (IT)

- Experience Required: 5-7 years

- Employment Type: Full Time

- Job Location: Hyderabad

- CTC Range: Best in Industry

Job Description

Data Engineer with AWS, Python, Glue, Terraform, Step function and Spark

Skills: Python, AWS Glue, Pyspark, Terraform - All are mandatory

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad 

• Advanced Linux / Unix support experience required.
• · Strong shell scripting and python programming skills for SRE related activities required.
• · Understanding on Veritas Cluster Service, Load Balancers, VMWare and Splunk required.
• · Knowledge on ITIL principles required.
• · Effective oral and written communication skills, and interpersonal skills to work well in a team environment required.
• · Strong organizational and coordination skills with the ability to manage multiple tasks and high-pressure situations for outage handling, management or resolution.
• · Be available for weekend work.

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

http://karmalife.ai/">KarmaLife (Onionlife Private Limited) is a financial solution that addresses the unmet liquidity needs of India’s gig and contract workforce. KarmaLife captures real-time data associated with work and financial transactions, and applies machine learning & AI to viably provide relevant, affordable and easy-to-use financial services, including credit, savings and insurance. KarmaLife partners with employers and aggregators of blue collar workers to package these services as financial wellness benefits that in turn enhance worker productivity and retention. 

To learn more about the solution, watch this 3 min https://www.youtube.com/watch?v=EUbj29GAOeA&;feature=youtu.be">video 

We are looking for someone who can provide astute technical support. Giving such assistance means that it's all about solving problems from the moment they call the customer service line until the caller’s issues are resolved. This is a  high-impact role that will provide a well-rounded perspective on the Finance Products at http://karmalife.ai/">KarmaLife and brings with it, the opportunity to collaborate and interact with multi-functional teams inside Karmalife and at the partner organization.

1. Performs diagnostics and maintenance of Applications
2. Configures and troubleshoots backend Applications
3. Performs customer request/problem identification and follows defined procedures to resolve correctly.
4. Does incident tracking and takes necessary action to resolve the issue
5. Documents troubleshooting efforts and customer information in data capture tool and when required, transfers call or promptly notifies responsible party for resolution
6. You will have direct communication with client’s teams and will liaise closely with internal teams to reproduce and resolve issues.
7. Managing communication channels, such as e-mail, phone and other support management applications.
8. Maintaining high customer satisfaction ratings and service level agreements
9. May complete and resolve non-call customer contact requests received by web or email
10.  

We are looking for someone Technical Support Engineer to provide enterprise-level assistance to our customers. You will diagnose and troubleshoot software and hardware problems and help our customers install applications and programs.Candidates who share our vision of building inclusive FinTech for India’s fast-growing gig economy. 

An ideal candidate would have the following qualifications: 

1. Education in an IT background or 2+ years of working experience with Linux/Unix environments. 
2. Knowledge of AWS or other Public Cloud Platform
3. Scripting with BASH or Python - intermediate level

• Log parsing and analysis

1. Flexibility in using different technologies/platforms

An ideal candidate would have the following skills:

1. Oral & written: To communicate technical issues, no matter the customer's background or experience level & to provide step-by-step technical help, both written and verbal.
2. Problem articulation: Ability to ask+articulate customer problems & translate a solution. 
3. High on ownership: Motivated and enthusiastic to discover and learn new technologies + disciplined 
4. Team player: Is able to shift between coordination, cooperation and collaboration quickly.
   
   5. Agility: Ability to quickly assess the situation and display a strong bias for action.
   
   Location: Bangalore is preferred
   Bonus: If you have experience working with B2B startups & technical client support roles

• We offer competitive compensation, unparalleled growth & learning, and the upside of an early stage company.
• We take growth & learning seriously, you will have excellent mentors.
• Looking to own something from your early days , karmalife is your best bet then, we appreciate and reward ownership.

WHAT WE'RE LOOKING FOR

•  Bachelors or masters in software engineering, Computer Science or other relevant disciplines
•  2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
•  Strong Knowledge in Python v3.x Language
•  Experience in REST APIs with JSON
•  Error handling and Logging 
•  Any DB knowledge 
•  Knowledge on Sumo Logic log aggregation is a plus
• Must know how to produce high quality, “Clean” code that is performant, maintainable and secure