data engineer – financial infrastructure & analytics Jobs in Bangalore India

data engineer – financial infrastructure & analytics

data scientist

data scientist-artificial intelligence Jobs in Bangalore India

data scientist-artificial intelligence

data scientist/analyst Jobs in Bangalore India

data scientist/analyst

data engineer

Infosys

<div>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 4+ years of total experience, with 3+ years in data engineering and business intelligence.
 </li>
 <li>
 4+ years of hands-on experience in Python and other open-source data engineering tools.
 </li>
 <li>
 Strong expertise in data engineering, data handling, and statistical programming using modern IT tools.
 </li>
 <li>
 Understanding of Data Warehousing, Business Intelligence, and ETL processes.
 </li>
 <li>
 Proficiency and experience with Apache Spark and Big Data technologies (e.g., Hadoop, Hive).
 </li>
 <li>
 Proven experience in Agile methodologies, including iterative development and sprint planning.
 </li>
 <li>
 Experience working in highly regulated environments, ensuring data governance and compliance.
 </li>
 <li>
 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA).
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP). Key Responsibilities
 </li>
 <li>
 Lead end-to-end data engineering and reporting engagements, from requirement gathering to solution development.
 </li>
 <li>
 Design and implement scalable data pipelines, data model, and process frameworks.
 </li>
 <li>
 Collaborate with stakeholders, providing domain and technical thought.
 </li>
 <li>
 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
 </li>
 <li>
 Develop interactive dashboards and reports using visualization tools or Python-based libraries.
 </li>
 <li>
 Ensure data quality, governance, and compliance across reporting solutions.
 </li>
 <li>
 Conduct performance tuning and optimization of data workflows and visualizations.
 </li>
 <li>
 Ensure compliance with release governance and manage incidents using industry-standard tools.
 </li>
 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs) and innovation programs.
 </li>
 </ul>
</div>

Data Engineer

Meril

<div>
 
 
 About the Role
 
 
 
 As a
 
 Quantitative Data Engineer
 
 , you will be the backbone of the data ecosystem powering our
 
 quantitative research, trading, and AI-driven strategies
 
 . You will design, build, and maintain the
 
 high-performance data infrastructure
 
 that enables low-latency, high-fidelity access to market, fundamental, and alternative data across multiple asset classes.
 
 
 This role bridges
 
 quant engineering, data systems, and research enablement
 
 , ensuring that our researchers and traders have fast, reliable, and well-documented datasets for analysis and live trading. You&rsquo;ll be part of a cross-functional team working at the intersection of
 
 finance, machine learning, and distributed systems
 
 .
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 Architect and maintain scalable ETL pipelines
 
 for ingesting and transforming terabytes of structured, semi-structured, and unstructured market and alternative data.
 </li>
 <li>
 
 Design time-series optimized data stores
 
 and
 
 streaming frameworks
 
 to support low-latency data access for both backtesting and live trading.
 </li>
 <li>
 
 Develop ingestion frameworks
 
 integrating vendor feeds (Bloomberg, Refinitiv, Polygon, Quandl, etc.), exchange data, and internal execution systems.
 </li>
 <li>
 
 Collaborate with quantitative researchers and ML teams
 
 to ensure data accuracy, feature availability, and schema evolution aligned with modeling needs.
 </li>
 <li>
 
 Implement data quality checks, validation pipelines, and version control mechanisms
 
 for all datasets.
 </li>
 <li>
 
 Monitor and optimize distributed compute environments
 
 (Spark, Flink, Ray, or Dask) for performance and cost efficiency.
 </li>
 <li>
 
 Automate workflows
 
 using orchestration tools (Airflow, Prefect, Dagster) for reliability and reproducibility.
 </li>
 <li>
 
 Establish best practices
 
 for metadata management, lineage tracking, and documentation.
 </li>
 <li>
 
 Contribute to internal libraries and SDKs
 
 for seamless data access by trading and research applications.
 </li>
 </ul>
 
 
 In Trading Firms, Data Engineers Typically:
 
 
 <ul>
 <li>
 Build
 
 real-time data streaming systems
 
 to capture market ticks, order books, and execution signals.
 </li>
 <li>
 Manage
 
 versioned historical data lakes
 
 for backtesting and model training.
 </li>
 <li>
 Handle
 
 multi-venue data normalization
 
 (different exchanges and instruments).
 </li>
 <li>
 Integrate
 
 alternative datasets
 
 (satellite imagery, news sentiment, ESG, supply-chain data).
 </li>
 <li>
 Work closely with
 
 quant researchers
 
 to convert raw data into
 
 research-ready features
 
 .
 </li>
 <li>
 Optimize pipelines for
 
 ultra-low latency
 
 where milliseconds can impact P&amp;L.
 </li>
 <li>
 Implement
 
 data observability frameworks
 
 to ensure uptime and quality.
 </li>
 <li>
 Collaborate with
 
 DevOps and infra engineers
 
 to scale storage, caching, and compute.
 </li>
 </ul>
 
 
 Tech Stack
 
 
 <ul>
 <li>
 
 Languages:
 
 Python, SQL, Scala, Go, Rust (optional for HFT pipelines)
 </li>
 <li>
 
 Data Processing:
 
 Apache Spark, Flink, Ray, Dask, Pandas, Polars
 </li>
 <li>
 
 Workflow Orchestration:
 
 Apache Airflow, Prefect, Dagster
 </li>
 <li>
 
 Databases &amp; Storage:
 
 PostgreSQL, ClickHouse, DuckDB, ElasticSearch, Redis
 </li>
 <li>
 
 Data Lakes:
 
 Delta Lake, Iceberg, Hudi, Parquet
 </li>
 <li>
 
 Streaming:
 
 Kafka, Redpanda, Pulsar
 </li>
 <li>
 
 Cloud &amp; Infra:
 
 AWS (S3, EMR, Lambda), GCP, Azure, Kubernetes
 </li>
 <li>
 
 Version Control &amp; Lineage:
 
 DVC, MLflow, Feast, Great Expectations
 </li>
 <li>
 
 Visualization / Monitoring:
 
 Grafana, Prometheus, Superset, DataDog
 </li>
 <li>
 
 Tools for Finance:
 
 kdb+/q (for tick data), InfluxDB, QuestDB
 </li>
 </ul>
 
 
 What You Will Gain
 
 
 <ul>
 <li>
 
 End-to-end ownership
 
 of core data infrastructure in a high-impact, mission-critical domain.
 </li>
 <li>
 Deep exposure to
 
 quantitative research workflows
 
 ,
 
 market microstructure
 
 , and
 
 real-time trading systems
 
 .
 </li>
 <li>
 
 Collaboration with elite quantitative researchers, traders, and ML scientists.
 
 </li>
 <li>
 Hands-on experience with
 
 cutting-edge distributed systems
 
 and
 
 time-series data technologies
 
 .
 </li>
 <li>
 A culture that emphasizes
 
 technical excellence, autonomy, and experimentation.
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Computer Science, Data Engineering, or related field.
 
 </li>
 <li>
 
 2+ years
 
 of experience building and maintaining
 
 production-grade data pipelines
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 ,
 
 SQL
 
 , and frameworks like
 
 Airflow
 
 ,
 
 Spark
 
 , or
 
 Flink
 
 .
 </li>
 <li>
 Familiarity with
 
 cloud storage and compute (S3, GCS, EMR, Dataproc)
 
 and
 
 versioned data lakes (Delta, Iceberg)
 
 .
 </li>
 <li>
 Experience with
 
 financial datasets
 
 ,
 
 tick-level data
 
 , or
 
 high-frequency time series
 
 is a strong plus.
 </li>
 <li>
 Strong understanding of
 
 data modeling, schema design, and performance optimization
 
 .
 </li>
 <li>
 Excellent communication skills with an ability to support
 
 multidisciplinary teams
 
 .
 </li>
 </ul>
 
 
</div>

Data Engineer – Financial Infrastructure & Analytics

<div>
 
 Maximize Your Impact with TP
 
 
 
 Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable &euro;10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.
 
 
 As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.
 
 
 
 The Opportunity
 
 
 
 TP.ai Data Services partners with the world&rsquo;s leading technology companies to design, build, and scale trustworthy AI systems. We deliver high-quality, multi-modal data solutions that fuel innovations in Generative AI, Computer Vision, NLP, RLHF, and Trust &amp; Safety. Our mission is to ensure AI systems are not only high-performing but also responsible, reliable, and ready for global scale.
 
 
 We are seeking a Data Scientist (AI/ML Ops) to take a central role in shaping how AI models are operationalized and brought to life at scale. In this role, you will design, implement, and optimize advanced data pipelines, model evaluation frameworks, and monitoring processes that ensure AI systems are trained and deployed with accuracy, efficiency, and compliance. You&rsquo;ll apply your expertise in data science and ML operationalization to create automated feedback loops, establish robust evaluation metrics, and drive continuous improvement across the AI lifecycle.
 
 
 This is a high-impact opportunity to work on frontier AI initiatives with global reach, partnering directly with leading Big Tech enterprises. You will collaborate closely with Data Engineers, AI Researchers, IT, and Product Teams to translate complex business challenges into data-driven solutions, while influencing best practices in Responsible AI and MLOps. Beyond building pipelines and models, you&rsquo;ll help define the standards for how safe, scalable, and trustworthy AI systems are delivered worldwide.
 
 
 
 The Responsibilities &amp; Duties
 
 
 
 <ul>
 <li>
 Design data preprocessing pipelines for multi-modal datasets (text, audio, video, images).
 </li>
 <li>
 Engineer features and transformations for model training, fine-tuning, and evaluation.
 </li>
 <li>
 Apply data augmentation, synthetic data generation, and bias mitigation techniques.
 </li>
 <li>
 Develop and evaluate ML models for classification, ranking, clustering, and anomaly detection tailored to operational use cases.
 </li>
 <li>
 Expertise in power analysis, significance testing, and advanced methods such as bootstrapping and Bayesian inference.
 </li>
 <li>
 Create offline/online evaluation metrics (accuracy, F1, precision/recall, latency, fairness metrics) to track model performance.
 </li>
 <li>
 Support RLHF pipelines by integrating human feedback into model optimization loops.
 </li>
 <li>
 Collaborate with engineering teams to integrate models into production pipelines.
 </li>
 <li>
 Design automated monitoring, retraining triggers, and continuous improvement loops to maintain model quality in dynamic environments.
 </li>
 <li>
 Build dashboards and reporting frameworks for real-time monitoring of model and data health.
 </li>
 <li>
 Define labeling strategies, taxonomy structures, and annotation guidelines for supervised learning.
 </li>
 <li>
 Partner with annotation platforms to ensure accuracy, throughput, and SLA compliance.
 </li>
 <li>
 Perform statistical quality checks (inter-annotator agreement, sampling-based audits).
 </li>
 <li>
 Partner with clients, product teams, and operations leads to translate business problems into data/ML solutions.
 </li>
 <li>
 Work with Legal/Privacy teams to ensure datasets meet regulatory and ethical AI standards.
 </li>
 <li>
 Contribute to internal best practices, reusable frameworks, and knowledge bases for AI/ML Operations.
 
 
 </li>
 </ul>
 
 The Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Applied Mathematics, or related fields.
 </li>
 <li>
 5+ years of experience in ML/AI data science with a focus on operational deployment.
 </li>
 <li>
 Track record of delivering ML models into production environments at scale.
 </li>
 <li>
 Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), SQL.
 </li>
 <li>
 ML Techniques: Supervised/unsupervised learning, NLP, CV, RLHF.
 </li>
 <li>
 MLOps Tools: MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
 </li>
 <li>
 Data Handling: Spark, Dataflow, or equivalent big data frameworks.
 </li>
 <li>
 Visualization &amp; Reporting: Tableau, Looker, or similar BI tools.
 </li>
 <li>
 Experience with Generative AI model evaluation (LLMs, diffusion models).
 </li>
 <li>
 Knowledge of Responsible AI frameworks (bias/fairness metrics, explainability).
 </li>
 <li>
 Exposure to Trust &amp; Safety operations or high-volume data environments.
 
 
 </li>
 </ul>
 
 Pre-Employment Screenings
 
 
 
 By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening.
 
 
 
 Important | Policy on Unsolicited Third-Party Candidate Submissions
 
 
 
 TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
 
 
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
 
 
</div>

Data Scientist

BairesDev

<div>
 
 At BairesDev&reg;, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.
 
 
 
 
 
 Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.
 
 
 
 
 
 When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.
 
 
 
 
 
 Python Fullstack Engineer at BairesDev
 
 
 
 
 
 We are seeking a Python Developer to join our growing team. This role offers the opportunity to work on various aspects of application development using Python and web technologies. Whether you're passionate about backend systems, frontend interfaces, or both, you'll find meaningful projects that match your skills and interests.
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 - Develop applications using Python and related frameworks.
 
 
 - Develop data processing solutions leveraging the Pandas library.
 
 
 - Work with data processing and analysis tools.
 
 
 - Contribute to user interface development using web technologies.
 
 
 - Assist with database operations and cloud integrations.
 
 
 - Collaborate with team members to deliver quality software. solutions.
 
 
 
 
 
 What We're Looking For:
 
 
 
 
 
 - Experience with Python programming.
 
 
 - Knowledge of web development fundamentals.
 
 
 - Problem-solving skills and eagerness to learn.
 
 
 - Ability to work effectively in a remote team environment.
 
 
 - Basic understanding of databases and data structures.
 
 
 - Good communication skills in English.
 
 
 
 
 
 Nice to have:
 
 
 
 
 
 - Familiarity with data visualization libraries or tools.
 
 
 - Experience with cloud services.
 
 
 - Basic knowledge of containerization concepts.
 
 
 - Interest in continuous learning and skill development.
 
 
 
 
 
 How we do make your work (and your life) easier:
 
 
 
 
 
 - 100% remote work (from anywhere).
 
 
 - Excellent compensation in USD or your local currency if preferred
 
 
 - Hardware and software setup for you to work from home.
 
 
 - Flexible hours: create your own schedule.
 
 
 - Paid parental leaves, vacations, and national holidays.
 
 
 - Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
 
 
 - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
 
 
 
 
 
 Apply now and become part of a global team where your unique talents can truly thrive!
 
</div>

Python Fullstack Engineer - Remote Work

Oracle

<div>
 
 
 
 
 Role : Java Developer (Oracle Cloud Infrastructure)
 
 
 
 
 
 
 
 
 Level : IC2
 
 
 
 
 
 
 
 
 Years of experience : 1-2 years of full time experience
 
 
 
 
 
 
 
 
 Experience required : Java Backend, Cloud, Data Structure Algorithms,
 
 
 
 
 
 
 
 
 Location : Bangalore (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 Are you interested in working on the Storage Infrastructure team that operates with Exabytes of data in 60+ regions? Oracle Cloud Infrastructure (OCI) customers run their businesses on our cloud, and our mission is to provide them with industry-leading computing, storage, networking, database, security, and an ever-expanding set of foundational cloud-based services. Our team seeks hands-on engineers with expertise and passion for solving complex problems in distributed systems, large-scale storage, and scaling services to meet future growth. If this is you, you can be part of the team that drives the best-in-class Storage platform into its next development phase. These are exciting times for the service - we are growing fast and delivering innovative, enterprise-class features to satisfy various customer workloads.
 
 
 
 
 
 As a member of the Block Storage team, you will own the software design and development for core components and features in the Block Storage Service. It would be best if you were a strong programmer and a distributed systems generalist, able to dive deep into any part of the stack and low-level systems and design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn
 
 
 
 
 
 https://www.oracle.com/cloud/storage/block-volumes/
 
 
 Responsibilities
 
 
 We&rsquo;re looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure, and highly available storage services. As an engineer, you will own the software design and development for major components of the Block Storage Service Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the management plane stack, as well as design broad distributed system interactions.
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 &bull; 1+ years experience delivering large scale, highly available distributed systems and backend services.
 
 
 &bull; Extensive experience developing clean code in Java/C++ or similar programming languages and scripting languages such as Python, etc.
 
 
 &bull; Strong knowledge of data structures, algorithms, multi-threading and distributed systems fundamentals.
 
 
 &bull; Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.
 
 
 &bull; Strong troubleshooting and performance tuning skills.
 
 
 &bull; Experience building multi-tenant, virtualized storage infrastructure, data management
 
</div>

Java Developer (IC2) - Oracle Cloud

UrbanPiper

<div>
 
 
 Software Engineer I/II &ndash; Quality Assurance
 
 
 
 
 Manual Testing
 
 
 
 
 
 
 
 About UrbanPiper:
 
 
 
 UrbanPiper is the leading SaaS platform in the restaurant industry. We&rsquo;re helping the smallest of restaurants to the largest chains across the world to grow their in-store and online commerce. Right from automating all their workflows across online delivery platforms such as Swiggy, Zomato, Deliveroo, UberEats&mdash;to building and deploying self-branded websites and apps, right to managing their walk-in customers and dine-in experiences, UrbanPiper is the preferred choice for over 20k+ restaurants.
 
 
 
 
 
 We are backed by top VCs &mdash; Tiger Global and Sequoia Capital. Recently, we closed our Series B round of funding with Swiggy and Zomato also participating together! That&rsquo;s a first and only (until now) event for any startup in the food and beverage industry.
 
 
 
 
 
 
 Your Role:
 
 
 
 We are looking for a passionate Quality Assurance engineer to join our dynamic engineering team. As a Software Engineer in Quality Assurance, you will work with the product and engineering teams at UrbanPiper to ensure the quality and functionality of our software products. In this role, you will focus on developing and executing manual test cases for API and UI based applications. We are looking for someone with a growth mindset who continuously strives to upskill themselves.If that sounds like you, we would love to meet you.
 
 
 
 
 
 
 You will:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to understand product requirements and identify test scenarios.
 </li>
 <li>
 Design and execute comprehensive test plans covering various functionalities of our software.
 </li>
 <li>
 Conduct thorough testing across different platforms and browsers.
 </li>
 <li>
 Conduct API and UI testing based on business requirements.
 </li>
 <li>
 Participate in exploratory testing to identify potential usability issues.
 </li>
 <li>
 Clearly document and report defects in our issue tracking system.
 </li>
 <li>
 Collaborate with developers and other QA engineers to resolve and verify defects.
 </li>
 <li>
 Stay up-to-date on the latest trends and tools in automated testing.
 </li>
 </ul>
 
 
 
 
 
 We are looking for someone who has:
 
 
 <ul>
 <li>
 1 - 3 years of experience in software testing, with a strong foundation in manual testing and testing fundamentals.
 </li>
 <li>
 Strong understanding of software testing concepts, methodologies, and best practices.
 </li>
 <li>
 Basic understanding of software development lifecycle (SDLC).
 </li>
 <li>
 Familiarity with web technologies (HTML, CSS) and mobile platforms (Android, iOS).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Attention to detail and a passion for quality.
 </li>
 </ul>
 
 
 
 
 
 Nice to haves:
 
 
 <ul>
 <li>
 Experience in the restaurant industry or point-of-sale (POS) systems
 </li>
 <li>
 Experience with scripting languages (e.g., Python or JavaScript).
 </li>
 <li>
 Experience with performance testing tool(e.g k6, jmeter, locust )
 </li>
 <li>
 Experience with cloud-based testing tools.
 </li>
 <li>
 Experience with mobile app testing.
 </li>
 </ul>
 
 
 
 
 Apply now if you wish to be a Piper!
 
</div>

Software Engineer - QA Manual

Joveo

<div>
 
 
 About Joveo
 
 
 
 At Joveo, our mission is to deliver the right job to everyone in the world. We're the global leader in programmatic job advertising, building a new generation of recruitment technology. Our platform, backed by marquee investors like Nexus Venture Partners and celebrated on the Inc. 5000 list, is changing how employers find talent.
 
 
 Our secret sauce? We are building and deploying
 
 state-of-the-art generative AI products, including intelligent multimodal chatbots, screening solutions and GenAI native applications that are seeing mass production adoption.
 
 To do this, we need exceptional engineers to build the robust, scalable, and resilient systems that bring AI to life.
 
 
 
 
 
 
 The Role: The Engineer Behind the AI
 
 
 
 This is an opportunity for a brilliant backend engineer to step into the world of AI. We're looking for a systems thinker with a passion for building rock-solid software and a deep curiosity to tackle new challenges. You will be the architect and builder of the services that power our most innovative AI features.
 
 
 Your core strength is your engineering prowess. Your mission will be to apply that strength to the unique and fascinating problems of production-grade AI. You won't be siloed; you will have complete ownership of your projects, from a blank editor to a running service in production.
 
 
 
 
 
 
 What You'll Do:
 
 
 <ul>
 <li>
 
 Build Production Systems:
 
 Architect, build, deploy, and operate highly scalable and available backend services that power our AI applications.
 </li>
 <li>
 
 Full End-to-End Ownership:
 
 You build it, you run it. Take ownership of the entire development lifecycle, including design, implementation, testing, deployment (CI/CD), and monitoring. You won't be handing your code off to someone else to ship.
 </li>
 <li>
 
 Solve Novel Problems:
 
 Apply your first-principles of engineering to the unique challenges of generative AI, such as managing state in conversational systems, optimizing for LLM latency, and ensuring data consistency.
 </li>
 <li>
 
 Embrace Ambiguity:
 
 Thrive in a fast-paced environment where you are empowered to define the path forward, make key technical decisions, and turn ambiguous product ideas into concrete, shippable solutions.
 </li>
 <li>
 
 Learn and Innovate:
 
 Dive headfirst into the modern AI stack. While you bring the engineering rigor, you'll have the opportunity to learn and work with LLMs, vector databases, evals and AI frameworks on the job.
 </li>
 <li>
 
 Collaborate for Impact:
 
 Work in a tight-knit team with product managers (or without, if you prefer!) and other elite engineers to build solutions that directly impact our customers and our bottom line.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For (The Ideal Candidate):
 
 
 
 You are a builder at heart. You find joy in creating elegant, efficient, and reliable systems and are excited by the prospect of learning a new domain.
 
 <ul>
 <li>
 
 Elite Backend Engineering:
 
 3+ years of experience building and operating complex, scalable, and high-performance backend systems. You have a strong grasp of distributed systems, API design, and software architecture.
 </li>
 <li>
 
 Strong Programming Foundation:
 
 Deep proficiency in a systems language like
 
 Python
 
 or
 
 Java
 
 . You write clean, maintainable, and well-tested code. (Experience with Python is a strong plus).
 </li>
 <li>
 
 A Fierce Curiosity &amp; Rapid Learning Ability:
 
 This is non-negotiable.
 
 Prior professional experience with LLMs is NOT required.
 
 What is mandatory is a demonstrated passion for learning, a history of quickly mastering new technologies, and a genuine excitement to become an expert in the AI/ML space.
 </li>
 <li>
 
 The Ownership Mindset:
 
 You are a self-starter who is comfortable with ambiguity and enjoys the freedom and responsibility of a startup environment. You have extensive experience working in large codebases and are skilled at navigating cross-functional dependencies.
 </li>
 <li>
 
 Pragmatic and Driven:
 
 You have a strong sense of urgency and an ability to deliver high-quality, pragmatic solutions quickly without sacrificing long-term stability.
 </li>
 </ul>
 
 
 
 
 
 Why You&rsquo;ll Love This Role at Joveo:
 
 
 <ul>
 <li>
 
 The Perfect Launchpad into AI:
 
 This is your chance to pivot into the most exciting field in technology. Leverage your elite engineering skills as a foundation and let us provide the problems, mentorship, and environment for you to become an expert in production AI.
 </li>
 <li>
 
 Build Things That Matter:
 
 The systems you build will be the backbone of products used by millions, directly helping people find jobs.
 </li>
 <li>
 
 Radical Ownership:
 
 Forget bureaucracy. You will have the autonomy to make critical decisions and see your work go live in production, fast.
 </li>
 <li>
 
 A Culture of Builders:
 
 Join a world-class team of pragmatic and passionate engineers and entrepreneurs who are focused on solving real-world problems.
 </li>
 </ul>
</div>

Software Development Engineer II (AI Engg)

Explore 48+ Data engineer in Bangalore India this November. Find roles across top companies and apply now to boost your career.