software engineer

associate software engineer Jobs in Hyderabad

associate software engineer

associate, ml data operations, go-ai operations Jobs in Hyderabad

associate, ml data operations, go-ai operations

data engineer

data scientist-artificial intelligence Jobs in Hyderabad

data scientist-artificial intelligence

machine learning engineer

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 
 
 <ul>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours&rsquo;.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Amazon

<div>
 
 Description
 
 
 
 Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?
 
 
 Our mission in Buyer Risk Prevention (BRP) is to make Amazon.com the safest place to transact online. BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.
 
 
 As a Risk Analyst in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction. You will develop scalable solutions for fraud prevention. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.
 
 
 Key job responsibilities
 
 
 Perform complex data analysis to proactively generate actionable insights
 
 
 Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools
 
 
 Design and implement various visual dashboards in order to make insights available to team members, stakeholders and our customers
 
 
 Support cross-functional teams on the day-to-day execution of projects and initiatives
 
 
 Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
 
 
 Preparing and delivering business reviews to the senior management team regarding progress and roadblocks
 
 
 Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing
 
 
 A day in the life
 
 
 <ul>
 <li>
 Review instances of fraud and create mechanisms to stop them
 </li>
 <li>
 Report on fraud trends and improve products
 </li>
 <li>
 Create and maintain dashboards that detect and inform stakeholders (such as payment product owners) on how to stop fraud
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our team consists of Business Analysts, Data Scientists, Business Intelligence Engineers and Applied Scientist rolling under the core Buyer Risk Prevention Machine Learning Team. We evaluate instances of organized buyer fraud attacks on Amazon platform WW across various payment methods. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of experience in financial/business analysis
 </li>
 <li>
 Experience with SQL/ETL and Python
 </li>
 <li>
 Experience defining requirements and using data and metrics to draw business insights
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's Degree in any quantitative discipline such as Statistics, Mathematics or Economics 2. Proven experience in working with large scale databases and SQL in a business environment
 </li>
 <li>
 Demonstrated experience using scripting languages like Python
 </li>
 <li>
 Hands-on experience applying machine learning algorithms and statistical methods in a business environment
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 20 SEZ
 
 
 Job ID: A3046681
</div>

Risk Analyst, Buyer Risk Prevention, Payment Risk Mining

Blue Spire Inc

<div>
 
 
 Role overview:
 
 
 
 
 
 
 Blue Spire is looking for a Data Analyst to join our growing data team. The ideal candidate will
 
 
 play a key role in ensuring the authenticity, integrity, and usability of data from diverse sources.
 
 
 You will work closely with data scientists and business stakeholders to transform raw data into
 
 
 actionable insights, support solution implementation, and drive data-driven decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Perform data profiling across data lakes, files, and other data sources to ensure quality
 </li>
 </ul>
 
 and usability.
 
 <ul>
 <li>
 Ensure data authenticity, integrity, and reliability across all datasets.
 </li>
 <li>
 Collaborate with data scientists and business stakeholders to understand business requirements and provide guidance on solution implementation.
 </li>
 <li>
 Collect and integrate data from multiple sources including databases, APIs, and third party platforms.
 </li>
 <li>
 Clean, pre process, and standardize data, handling missing values, correcting errors, and ensuring consistency.
 </li>
 <li>
 Structure and transform raw data into usable formats for analysis and modeling.
 </li>
 <li>
 Prepare datasets for modeling, including splitting into training and testing sets and maintaining quality standards.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to understand data distributions, correlations, and anomalies.
 </li>
 <li>
 Apply statistical techniques to identify trends, patterns, and insights that support decision-making.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Graduate in Statistics, Mathematics, Computer Science or MBA in Data Science / Business Analytics.
 </li>
 <li>
 Strong understanding of data profiling, cleaning, and preparation techniques.
 </li>
 <li>
 6+ years of proficiency in SQL, Python, or R for data analysis and preprocessing.
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).
 </li>
 <li>
 Knowledge of statistical methods and machine learning basics is an advantage.
 </li>
 <li>
 Strong communication and problem-solving skills with ability to collaborate across teams.
 </li>
 </ul>
</div>

Data Analyst

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Tech lead to build scalable end-to-end AI Systems that are focused on backend development
 </li>
 <li>
 Design, develop, and refine advanced AI models and algorithms, especially generative AI approaches. Includes writing code on AI product component modules, or prototypes, typically in python, but also leveraging database technologies&mdash;including vector, relational, NOSQL, messaging queues, front end interfaces, etc.
 </li>
 <li>
 Ensure alignment of AI engineering practices with enterprise AI architecture, strategy, and evolving technology stack
 </li>
 <li>
 Lead cross-functional teams in AI project execution, from ideation through deployment and continuous improvement
 </li>
 <li>
 Drive innovation in AI methodologies, tools, and frameworks to enable scalable and efficient model development
 </li>
 <li>
 Collaborate with data scientists, LLMOps/MLOps engineers, product managers, and business stakeholders to translate use cases into deployable AI solutions
 </li>
 <li>
 Oversee model deployment pipelines and infrastructure, ensuring robustness, security, and compliance
 </li>
 <li>
 Mentor junior AI engineers and foster continuous learning and knowledge sharing within AI teams
 </li>
 <li>
 Contribute to AI governance processes, including model validation, versioning, documentation, and audit-readiness
 </li>
 <li>
 Monitor and troubleshoot model performance in production environments, implementing retraining and enhancements as needed
 </li>
 <li>
 Stay up to date with industry advancements and evaluate their applicability within the enterprise AI ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Provides leadership in enterprise AI engineering, enabling innovation and technical excellence
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, or a related field; Master&rsquo;s or PhD preferred
 </li>
 <li>
 8+ years of professional experience in AI/ML engineering or AI System engineering (backend or full stack), with a strong track record of delivering production-grade AI solutions
 </li>
 <li>
 Strong expertise in some variety of programming languages, with an emphasis on Python. Advanced proficiency with some AI/ML frameworks (e.g., LangChain, TensorFlow, PyTorch)
 </li>
 <li>
 Deep understanding of machine learning algorithms, generative AI models, model optimization and parameter tuning techniques, and data pipelines
 </li>
 <li>
 Experience with AI platforms and cloud services, especially GCP, but exposure to AWS and Azure helpful.
 </li>
 <li>
 Knowledge of deployment principles and experience implementing scalable and secure model deployment workflows
 </li>
 <li>
 Strong leadership skills with experience guiding engineering teams and collaborating across multiple functions
 </li>
 <li>
 Ability to communicate AI concepts clearly and effectively to both technical and business stakeholders
 </li>
 <li>
 Passion for innovation and a growth mindset, with a commitment to continuous learning and development in the AI space Leadership &amp; Collaboration
 </li>
 <li>
 Build a psychologically safe, performance-driven team environment.
 </li>
 <li>
 Drive alignment with EDAA strategic objectives and foster knowledge-sharing across squads.
 </li>
 <li>
 Represent AI/ML Engineering in cross-functional reviews, steering groups, and enterprise wide architecture decisions.
 </li>
 </ul>
 
 
 
 
 
 Our Culture in Action We live our values every day:
 
 
 <ul>
 <li>
 Serve: We put our people and customers first.
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 Inclusion: Everyone is welcome and respected.
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 Integrity: We do the right thing, even when it&rsquo;s hard.
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 Community: We show up for each other and our neighborhoods.
 </li>
 <li>
 Family: We grow stronger together.
 </li>
 <li>
 Equal Opportunity Statement McDonald&rsquo;s is an equal opportunity employer committed to building an inclusive and supportive environment. We celebrate diversity and are proud to be an organization where everyone can thrive. Accommodations are available for qualified individuals throughout the application and employment processes
 </li>
 </ul>
</div>

Senior AI Engineer - Manager [T500-19750]

NxtWave

<div>
 
 📢
 
 We&rsquo;re Hiring!
 
 
 
 Are you passionate about building scalable fullstack applications that directly impact thousands of learners? At
 
 NxtWave
 
 , we&rsquo;re on a mission to transform education and empower the next generation of tech talent &mdash; and we&rsquo;re growing fast!
 
 
 We're looking for an experienced
 
 Software Development Engineer SDE II
 
 who thrives in a fast-paced, agile environment and is eager to build world-class products from the ground up.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead the design and implementation of complex fullstack features (frontend, backend, and data layers)
 </li>
 <li>
 Make key architectural decisions for frameworks, data stores, and performance optimization
 </li>
 <li>
 Review code, enforce clean code practices and design patterns
 </li>
 <li>
 Build and maintain reusable component libraries and backend service templates
 </li>
 <li>
 Identify and eliminate performance bottlenecks
 </li>
 <li>
 Own CI/CD pipelines for automated builds and deployments
 </li>
 <li>
 Define and implement comprehensive testing strategies (unit, integration, E2E)
 </li>
 <li>
 Ensure security (OWASP Top-10), accessibility (WCAG), and SEO best practices
 </li>
 <li>
 Collaborate with Product, UX, and Ops to translate business goals into technical deliverables
 </li>
 <li>
 Mentor junior engineers and actively contribute to hiring efforts
 </li>
 </ul>
 
 ✅
 
 Requirements
 
 
 <ul>
 <li>
 3&ndash;5 years of experience building fullstack applications with real-world impact
 </li>
 <li>
 Strong leadership in Agile/Scrum settings and hunger for continuous learning
 </li>
 <li>
 Experience with
 
 Node.js (Express/NestJS)
 
 or
 
 Python (Django/FastAPI)
 
 or
 
 Java (Spring Boot)
 
 </li>
 <li>
 Hands-on with MySQL/PostgreSQL, ElasticSearch/DynamoDB, Redis, etc.
 </li>
 <li>
 Familiarity with Docker, AWS (Lambda, EC2, S3, API Gateway, etc.)
 </li>
 <li>
 Skilled in testing frameworks like Jest, pytest, Cypress, or Playwright
 </li>
 <li>
 Performance tuning using tools like Lighthouse and backend tracing
 </li>
 <li>
 Secure coding: OAuth2/JWT, XSS/CSRF protection
 </li>
 <li>
 Strong communication and code review skills
 </li>
 </ul>
 
 
 Bonus Traits We Love
 
 
 <ul>
 <li>
 Solution-oriented with a drive to deliver high-quality software
 </li>
 <li>
 Collaborative and friendly team player
 </li>
 <li>
 Open to feedback and focused on growth
 </li>
 <li>
 Passionate about innovation and learning new tech
 </li>
 </ul>
 
 
 
 
 📩
 
 Ready to Build the Future of EdTech
 
 
 
 If you&rsquo;re eager to be part of something impactful and thrive on taking ownership, we&rsquo;d love to hear from you! Apply now or connect with me directly to explore this exciting opportunity.
 
</div>

Software Development Engineer

Recro

<div>
 
 
 Data Engineer (Pharma Data Domain)
 
 
 
 
 Position Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 responsible for the design, development, and maintenance of scalable data pipelines. In this role, you will collaborate closely with the business team in the US to gather requirements and deliver efficient, high-quality data solutions using our enterprise data platform. The ideal candidate will have strong technical expertise in Python, SQL, and cloud technologies, along with experience in the US pharmaceuticals domain (specialty pharmacy, hub, specialty distributor, 3PL).
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain efficient, reusable, and reliable data pipelines.
 </li>
 <li>
 Collaborate with US-based business stakeholders to gather requirements and translate them into technical solutions.
 </li>
 <li>
 Develop data summarizations, reports, and insights by leveraging Pandas/PySpark.
 </li>
 <li>
 Ensure optimal performance, scalability, and quality of data applications.
 </li>
 <li>
 Troubleshoot issues, identify root causes, and implement solutions to mitigate risks.
 </li>
 <li>
 Maintain high standards of code quality, organization, and automation.
 </li>
 <li>
 Continuously expand technical knowledge through research and learning.
 </li>
 <li>
 Ensure compliance with corporate policies, procedures, and training requirements.
 </li>
 <li>
 Lead discussions or client-facing meetings in the absence of a Project Manager/Team Lead.
 </li>
 </ul>
 
 
 Technical Skills &amp; Experience (Required)
 
 
 <ul>
 <li>
 
 4+ years of professional experience
 
 in data engineering or related roles.
 </li>
 <li>
 
 3+ years of hands-on Python programming
 
 experience, with strong expertise in Pandas/PySpark for data analysis and transformations.
 </li>
 <li>
 Proven experience with
 
 data aggregation projects
 
 in the
 
 US pharmaceutical market
 
 (specialty pharmacy, hub, specialty distributor, 3PL).
 </li>
 <li>
 Strong understanding of
 
 patient and payer data management
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and experience with modern data platforms such as
 
 Snowflake, Databricks, Azure Blob Storage, and AWS
 
 .
 </li>
 <li>
 Advanced
 
 analytical and problem-solving skills
 
 , with the ability to identify trends, patterns, and insights from complex datasets.
 </li>
 </ul>
 
 
 Soft Skills (Preferred)
 
 
 <ul>
 <li>
 Excellent verbal and written communication skills with the ability to interact effectively with business and technical teams.
 </li>
 <li>
 Strong listening skills to understand customer needs and translate them into actionable solutions.
 </li>
 <li>
 Critical and creative thinking skills with the ability to brainstorm and innovate.
 </li>
 <li>
 Ability to lead discussions, workshops, or client meetings when required.
 </li>
 <li>
 Team player with strong collaboration skills across cross-functional teams.
 </li>
 <li>
 Adaptability to changing priorities and workloads.
 </li>
 <li>
 Strong organizational skills with the ability to identify bottlenecks and optimize workflows.
 </li>
 <li>
 Fluency in English (spoken and written).
 </li>
 </ul>
 
 
 Additional Information
 
 
 <ul>
 <li>
 Standard work hours apply; occasional off-hours work may be required.
 </li>
 <li>
 We offer a
 
 competitive compensation package
 
 including salary, vacation, holidays, and gratuity benefits.
 </li>
 </ul>
 
 
</div>

Data Engineer

TOSHIBA TRANSMISSION & DISTRIBUTION SYSTEMS (INDIA) PRIVATE LIMITED

<div>
 
 
 Abount the Company:
 
 
 
 
 
 
 
 A GLOBAL SUPPLIER OF INTEGRATED SOLUTIONS
 
 
 
 Toshiba Transmission &amp; Distribution Systms group is a world leader in the supply of integrated solutions for energy Transmission &amp; Distribution
 
 
 
 
 
 
 Abount the Job:
 
 
 
 
 
 
 We are looking for Site Execution Engineer (Electrical) to join our team for an EPC substation projects.
 
 
 
 
 
 
 Job Profile:
 
 Site Execution Engineer (Electrical) - EPC substation
 
 
 
 Position :
 
 Engineer/ Senior Engineer
 
 
 
 Department:
 
 Engineering &amp; Construction
 
 
 
 Reports to:
 
 Project Manager
 
 
 
 Location:
 
 Flexibility to work on Pan-India Projects
 
 
 
 
 
 
 Key Responsibility:
 
 
 
 
 
 <ul>
 <li>
 Site Management and supervision of teams involved in electrical works
 </li>
 <li>
 Preparation of execution schedule for electrical works
 </li>
 <li>
 Co-ordination with Clients for approval of documents and getting clearances
 </li>
 <li>
 Preparation of JMC and certification from client
 </li>
 <li>
 Preparation of FQP and execution plan
 </li>
 <li>
 Attending client meeting
 </li>
 <li>
 Co-ordinating with HO for expediting supplies
 </li>
 <li>
 Payment follow-up with client
 </li>
 </ul>
 
 
 
 
 
 Qualification:
 
 
 
 
 
 
 Bachelor's degree in Electrcal Engineering
 
 
 2 - 8 years of experience in EPC substation site exeuction works
 
 
 
</div>

Engineer/ Senior Engineer (Electrical)- Site Execution (EPC)

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