- 4+ year of experience working as a Quality Assurance Engineer
- Experience in manual testing
- Experience in automation testing
- Bachelor's Degree
- Experience in Functional and UI testing (mobile, tablet and desktop).
- Experience in developing, documenting and coordinating the deployment of manual and automated tests for complex systems.
Preferred Qualifications :
- Experience in using Python, Selenium and SQL
- Strong project management skills, preferably with software testing or operations.
- Strong focus on customer experience, curiosity about how things fit together and a passion for driving improvements to raise the overall quality level of our software and operations environments.
- Creativity and initiative to improve the customer experience and advertising operations processes.
- Excel in communicating with technical and business leaders in advertising sales, campaign management, design, operations, developers, and technical leaders, even if they are remote.
- Ability to deal with ambiguity in a fast-paced environment where every change affects the experience of millions of customers.
- Experience working with global teams.

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Build, deploy, and maintain production-grade AI/ML solutions for Fortune 500 enterprise clients on Google Cloud Platform. Hands-on role focused on shipping scalable AI systems across GenAI, agentic workflows, traditional ML, and computer vision.
Key Responsibilities:
Generative AI & Agentic Systems
- Design and build GenAI applications (RAG, agentic workflows, multi-agent systems)
- Develop intelligent systems with memory, planning, and reasoning capabilities
- Implement prompt engineering, context optimization, and evaluation frameworks
- Build observable and reliable multi-agent architectures
Traditional ML & Computer Vision
- Develop ML pipelines (forecasting, recommendation, classification, regression)
- Build production-grade computer vision solutions (document AI, image analysis)
- Perform feature engineering, model optimization, and benchmarking
MLOps & Production Engineering
- Own end-to-end ML lifecycle (CI/CD, testing, versioning, deployment)
- Build scalable APIs, microservices, and data pipelines
- Monitor models, detect drift, and implement A/B testing frameworks
Knowledge Solutions
- Architect knowledge graphs and semantic search systems
- Implement hybrid retrieval (vector + keyword search)
Client Collaboration
- Present technical solutions to enterprise clients
- Collaborate with architects, data engineers, and business teams
Required Skills & Experience
- 3–6 years of hands-on ML Engineering experience
- Strong Python and software engineering fundamentals
- Experience shipping production ML systems on cloud (GCP preferred)
- Experience across GenAI, Traditional ML, Computer Vision
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Preferred
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Job Title: Structured Finance Analyst – Energy Transition at AI Platform
Responsibilities:
- Conduct thorough pre-closing due diligence on structured finance deals, including project finance, securitization, and asset-backed lending in energy transition sectors (solar, wind, battery storage, EV infrastructure).
- Analyze credit structures, collateral quality, and cash flow modeling to independently validate underwriting assumptions and identify key risks.
- Prepare detailed investment analysis reports benchmarking AI-driven diligence results against manual underwriting.
- Collaborate closely with AI engineering teams to refine the underwriting platform through continuous feedback on accuracy, coverage gaps, and improvement opportunities.
- Stay abreast of market developments, regulatory changes, and emerging trends in structured finance and renewable energy project finance.
- Participate actively in transaction discussions, providing insightful analysis and contributing to decision-making processes.
Qualifications:
- Minimum 2 years of structured finance experience from an investment bank, rating agency, private credit fund, or fintech lender specializing in structured products.
- Demonstrable experience in analyzing structured finance products, including ABS, project finance, or infrastructure debt.
- Strong proficiency in Excel modeling, cash flow analysis, and scenario testing.
- Understanding of credit risk assessment, collateral valuation methodologes, and deal structuring principles.
- Bachelor’s degree in finance, economics, engineering, or a closely related field; CFA Level I or higher preferred.
- Excellent communication skills, both written and verbal, with the ability to clearly articulate complex financial concepts.
Ideal Candidate Profile:
- A structured finance analyst currently working at a bank, rating agency, or fintech lender seeking a dynamic, innovative environment that leverages cutting-edge technology.
- Demonstrated success in independently conducting deal diligence comparable to an experienced third-year analyst at a top-tier firm.
- Highly analytical, detail-oriented, with intellectual curiosity and passion for energy transition financing.
- Entrepreneurial mindset with adaptability to thrive in a fast-paced, high-growth startup environment.
- Interested in leveraging their structured finance skills to directly impact the growth and accuracy of an AI-driven investment diligence platform.
Responsibilities
- Participate heavily in the brainstorming of UI/UX architecture and feature design
- Interface with external customers and key stakeholders to understand and document design requirements
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Required Qualifications
- Must have at least 2+ years experience in front-end web development with the following tools: HTML5, CSS, Webpack, Responsive web design, ReactJS (Components, Router, Redux, Flux, Chart Libraries i.e. Google Charts), Node.js, REST APIs, and other essential features)
- Built and deployed customer-facing services and products at scale
- Developed unit and integration tests
- Solid instruction-level understanding of Object Oriented design, data structures, and software engineering principles
- You have a strong background in natural language processing, statistical modeling, and/or machine learning
- Experience with open source projects in a startup environment
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- Experience with Python and API frameworks (Flask)
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Looking for Lead Frontend Developer Bangalore to join a team of rockstar developers. The candidate should have a minimum of 4+ years. of experience in React.js.
There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers).
Company Background - CodeVyasa is a Software Product-Engineering and Development company that helps Early-stage & Mid-Market Product companies with IT Consulting, App Development, and On-demand Tech Resources. Our Journey over the last 3 years has been nothing short of a roller-coaster. Along our way, we've won some of the most prestigious awards while driving immense value to our customers & employees. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q1 2024
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- Minimum of 6 years of experience as a Frontend Development.
- Proficiency in React.js, Javascript, HTML/CSS development.
- Knowledge of Backend development.
- Aptitude for learning new technologies quickly.
- Good problem-solving and analytical skills.
What We Offer:
- Glassdoor rating of 4.8, indicating high employee satisfaction.
- Free healthcare benefits.
- Strong focus on upskilling and professional development opportunities.
- Diverse and inclusive work environment.
- Competitive compensation and benefits package.
- Emphasis on maintaining a healthy work-life balance.
Work with Business Analyst/end users to understand business requirements
2. Develop Prototype, Design documents.
3. Develop code in Java spring framework and Angular to meet requirements.
4. Involve in Testing cycle and track until the Production migration.
5. Follow Quality procedures and develop documents as per SDLC methodology.
6. Receiving support calls from MES Users and generation of tickets (manually or through system)
7. Resolution of the calls
8. Routing unresolved and higher level (L2 & L3) calls to central MES teams
9. Keeping track of SLAs
10. Maintaining ticket resolution track and Resolves change request also assigned time to time.
We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has world class investors and big data experts as part of the GP, top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.
We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.
You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.
Requirements:
- Atleast 3 years of relevant ML experience
- Graduation date : 2018 and earlier
- 3-5 years of experience in high level Python programming.
- Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
- Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques.
- Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
- Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
- Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling.
- Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
- A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
- A valid Github profile with some activity in it
Bonus to have:
- Experience in storing and retrieving data from large and complex time series databases
- Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
- Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation.
- Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.)
- Knowledge of REST APIs and data extracting and cleaning techniques
- Good to have experience in Pyspark or any other big data programming/parallel computing
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- Average tenure of atleast 1.5 years in a company
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- Be an active member of the GSS Fi management team in Global Centre Pune driving strategic and people orientated change programs.
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- Oversee and steer the day to day operation and delegate responsibilities across your team such that key performance indicators are consistently delivered.
- Build, coach and develop your team.
- Ensure that stakeholder requests are handled with professionalism and positive service attitude while ensuring that delivery is according to defined SLA.
- Establish and maintain close and professional partnerships with internal stakeholders.
- Streamline internal processes to ensure the most efficient operational standards.
- Review and manage exception reports, KPIs, and other key indicators of performance/output.
- Multinational company experience in a shared service organisation (preferably in businesses like ours)
- Strong communication skills, both written and oral
- Several years experience in managing Credit collections teams to drive performance. Must be organised and goal oriented.
- Solid knowledge in double entry book keeping (you don’t have to be a qualified accountant)
- Experience in creating and presenting cash flow forecasts to Regions and Group Treasury.
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- Experience in arranging payments (daily cash mobilisation) in the Regions that are being supported, which means multi-currencies. This will also mean Legal Entity (LE) deposit maintenance and tracking.
- Credit Card payment processing and reconciliation
- Given we use Oracle, driving more automation to improve efficiency would be a good thing.
Managing & mentoring a team of 5+ people
Ability to deliver projects/sprints on time
Obsessed with quality: Design reviews, code reviews, testing (system/performance)
Spending at least 50% time with hands-on coding while doing the above
Programming
Hands on experience with design and implementation of of WebApps and APIs using a PHP based framework (such as Laravel, Code Igniter, Cake or similar)
In addition to PHP, hands-on with a Python or node.js based framework
Good understanding of SQL (mySQL, postgres or similar. including clustering)
Good understanding of one no-SQL
Comfortable producing and refactoring code without assistance
Understands different major language paradigms (object oriented / functional /reactive)
Can reason about complexity of algorithms (time and space)
Basic CI/CD and DevOps












