python automation engineer Jobs in Mangaluru

python automation engineer

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quality assurance automation test engineer

python automation

Capgemini

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Job Description
 
 
 
 
 Python Automation Engineer (PowerShell)
 
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 4&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days
 
 
 Choosing Capgemini means choosing a place where you&rsquo;ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in helping leading organizations unlock the value of technology and drive scalable, sustainable growth.
 
 
 
 Your Role
 
 
 
 As a Python Automation Engineer, you will be responsible for developing and maintaining automation frameworks that streamline system operations and testing processes. You&rsquo;ll work across Linux environments and scripting platforms to deliver efficient and scalable automation solutions.
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Design and implement automation scripts using Python and Robot Framework.
 </li>
 <li>
 Develop and maintain PowerShell and Bash scripts for system-level automation.
 </li>
 <li>
 Work in Linux environments to support deployment and testing activities.
 </li>
 <li>
 Collaborate with cross-functional teams to identify automation opportunities and improve workflows.
 </li>
 <li>
 Participate in CI/CD processes and contribute to automation strategy.
 </li>
 <li>
 Document automation procedures and support internal capability-building initiatives.
 
 
 </li>
 </ul>
 
 Job Description - Grade Specific
 
 
 
 
 Your Profile
 
 
 
 4&ndash;9 years of experience in automation engineering.
 
 
 <ul>
 <li>
 Strong proficiency in Python, PowerShell, and Bash scripting.
 </li>
 <li>
 Hands-on experience with Linux systems and Robot Framework.
 </li>
 <li>
 Solid understanding of automation principles and best practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible work arrangements and supportive policies for work-life balance.
 </li>
 <li>
 Inclusive culture that fosters innovation and collaboration.
 </li>
 <li>
 Access to continuous learning and certifications in emerging technologies.
 
 
 </li>
 </ul>
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

Python Automation

Capgemini Engineering

<div>
 
 
 Python Automation Engineer
 
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 4&ndash;9 years
 
 
 
 Notice Period:
 
 Immediate to 30 days
 
 
 
 
 
 Choosing Capgemini means choosing a place where you&rsquo;ll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what&rsquo;s possible. Join us in helping leading organizations unlock the value of technology and drive scalable, sustainable growth.
 
 
 
 
 
 
 Your Role
 
 
 
 
 
 
 As a Python Automation Engineer, you will be responsible for designing and implementing automation solutions that enhance system efficiency and reliability. You&rsquo;ll work with cross-functional teams to develop robust automation frameworks and contribute to continuous improvement initiatives.
 
 
 
 
 
 
 In this role, you will:
 
 
 <ul>
 <li>
 Develop and maintain automation scripts using Python and Robot Framework.
 </li>
 <li>
 Work in Linux environments to support automation and deployment tasks.
 </li>
 <li>
 Collaborate with development and QA teams to identify automation opportunities.
 </li>
 <li>
 Execute automated test cases and analyze results to ensure system stability.
 </li>
 <li>
 Contribute to CI/CD pipelines and automation strategy.
 </li>
 <li>
 Participate in technical discussions and knowledge-sharing sessions.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 
 <ul>
 <li>
 4&ndash;9 years of experience in automation engineering.
 </li>
 <li>
 Strong proficiency in Python and Robot Framework.
 </li>
 <li>
 Hands-on experience with Linux-based systems.
 </li>
 <li>
 Good understanding of test automation principles and practices.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Love About Working Here
 
 
 
 
 
 <ul>
 <li>
 Flexible work arrangements and supportive policies for work-life balance.
 </li>
 <li>
 Inclusive culture that fosters innovation and collaboration.
 </li>
 <li>
 Access to continuous learning and certifications in emerging technologies.
 </li>
 </ul>
 
 
 
 
 
 About Us
 
 
 
 
 
 
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
</div>

Python Automation Engineer

apna

<div>
 Software Development Engineer - FresherLocation: Bangalore Office
 
 
 Team: Blue Machines AI Platform
 
 
 Experience: 0-1 YearAbout Blue MachinesBlue Machines is Apna's next-gen AI platform powering millions of intelligent voice and chat interactions every day. We're building agentic AI systems that can converse, reason, and take actions across industries.Role OverviewAs an SDET (Fresher), you'll work on automating and testing Voice AI agents and integrations, helping build a next-generation QA automation framework for conversational and multimodal systems.Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain automated test suites for Voice AI agents
 </li>
 <li>
 Validate end-to-end workflows, API integrations, and real-time voice interactions
 </li>
 <li>
 Contribute to building reusable QA frameworks and tools for Blue Machines
 </li>
 <li>
 Work closely with AI, backend, and frontend teams to ensure reliability and performance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong programming fundamentals (Python / Java / Go preferred)
 </li>
 <li>
 Understanding of testing concepts, automation tools, and APIs
 </li>
 <li>
 Curiosity to learn about Voice AI, speech recognition, and agent frameworks
 </li>
 <li>
 Good problem-solving and debugging skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Interest in audio testing, WebRTC, or real-time systems
 </li>
 </ul>
</div>

Software Development Engineer in Test

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a Generative AI Engineer to design and build intelligent systems using state-of-the-art generative models. You will work on developing applications powered by large language models (LLMs), diffusion models, and other generative techniques to solve real-world problems across domains like content generation, automation, and personalization.
 
 
 
 
 <ul>
 <li>
 
 Role: GenAI Engineer
 
 </li>
 <li>
 
 Job Location: Bengaluru
 
 </li>
 <li>
 
 Experience: 4+ Years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and implement AI-based automation tools for SRE Incident Management.
 </li>
 <li>
 Good experience working with OpenAI or other LLM models with understanding of prompting, tool calling, etc.
 </li>
 <li>
 Utilize LLMs to analyze logs and events for generating insights and automating processes.
 </li>
 <li>
 Work with data parsing, chunking, and embedding to enhance the understanding and applicability of data.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI solutions into existing systems.
 </li>
 <li>
 Stay updated with the latest advancements in AI technologies, particularly relating to LLMs and agentic AI.
 </li>
 <li>
 Develop core logic, APIs, and use cases using Python.
 </li>
 <li>
 Leverage frameworks such as Langchain, Crewai, or other agentic AI frameworks for developing AI applications.
 </li>
 <li>
 Provide support and guidance to junior developers within the team.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, or related field
 </li>
 <li>
 4+ years of experience in machine learning or AI development
 </li>
 <li>
 Hands-on experience with LLMs and generative models (e.g., Hugging Face Transformers, LangChain, OpenAI APIs)
 </li>
 <li>
 Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Understanding of NLP, deep learning, and transformer architectures
 </li>
 <li>
 Experience with data preprocessing, model evaluation, and prompt optimization
 </li>
 <li>
 Familiarity with version control (Git) and collaborative development tools
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

GenAI Engineer

Wayfair

<div>
 
 
 Who We Are
 
 
 
 Wayfair&rsquo;s Advertising business is rapidly expanding, adding hundreds of millions of dollars in
 
 
 profits to Wayfair. We are building Sponsored Products, Display &amp; Video Ad offerings that cater
 
 
 to a variety of Advertiser goals while showing highly relevant and engaging Ads to millions of
 
 
 customers. We are evolving our Ads Platform to empower advertisers across all sophistication
 
 
 levels to grow their business on Wayfair at a strong, positive ROI and are leveraging state of the
 
 
 art Machine Learning techniques.
 
 
 
 
 
 The
 
 Advertising Optimization &amp; Automation Science
 
 team is central to this effort. We
 
 
 leverage machine learning and generative AI to streamline campaign workflows, delivering
 
 
 impactful recommendations on budget allocation, target Return on Ad Spend (tROAS), and SKU
 
 
 selection. Additionally, we are developing intelligent systems for creative optimization and exploring agentic frameworks to further simplify and enhance advertiser interactions.
 
 
 
 
 
 We are looking for seasoned ML Scientists to join the
 
 Advertising Optimization &amp; Automation Science
 
 team. In this role, you will be responsible for the development of budget, tROAS and SKU recommendations and other machine learning capabilities supporting our ads business. You will work closely with other scientists, as well as members of our internal Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems to directly impact Wayfair&rsquo;s revenue.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Provide technical leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine learning techniques to support recommendations for Ads campaigns and other optimizations.
 </li>
 <li>
 Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that optimize our ads experience.
 </li>
 <li>
 Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped machine learning solutions
 </li>
 <li>
 Collaborate closely with various engineering, infrastructure, and machine learning platform teams to ensure adoption of best-practices in how we build and deploy scalable machine learning services
 </li>
 <li>
 Identify new opportunities and insights from the data (where can the models be improved? What is the projected ROI of a proposed modification?)
 </li>
 <li>
 Research new developments in advertising, sort and recommendations research and open-source packages, and incorporate them into our internal packages and systems.
 </li>
 <li>
 Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll need
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Mathematics, Statistics, or related field.
 </li>
 <li>
 6-9 years of industry experience in advanced machine learning and statistical modeling, including hands-on designing and building production models at scale.
 </li>
 <li>
 Strong theoretical understanding of statistical models such as regression, clustering and machine learning algorithms such as decision trees, neural networks, etc.
 </li>
 <li>
 Familiarity with machine learning model development frameworks, machine learning orchestration and pipelines with experience in either Airflow, Kubeflow or MLFlow as well as Spark, Kubernetes, Docker, Python, and SQL.
 </li>
 <li>
 Proficiency in Python or one other high-level programming language
 </li>
 <li>
 Solid hands-on expertise deploying machine learning solutions into production
 </li>
 <li>
 Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Familiarity with Machine Learning platforms offered by Google Cloud and how to implement them on a large scale (e.g. BigQuery, GCS, Dataproc, AI Notebooks).
 </li>
 <li>
 Experience in computational advertising, bidding algorithms, or search ranking
 </li>
 <li>
 Experience with deep learning frameworks like PyTorch, Tensorflow, etc.
 </li>
 </ul>
</div>

Lead Data Scientist

Weekday AI (YC W21)

<div>
 This role is for one of Weekday's clients
 
 
 Salary range: Rs 4000000 - Rs 6000000 (ie INR 40-60 LPA)
 
 
 Min Experience: 15 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 
 Requirements
 
 
 
 
 Experience:
 
 
 
 <ul>
 <li>
 15+ years in business/technical/data analysis within financial services or asset management
 </li>
 <li>
 5-10 years as a Data Product Owner in Agile environments, delivering on enterprise-scale data platforms (e.g., Oracle, Snowflake, State Street Alpha Data, Refinitiv, SimCorp, Aladdin, FactSet)
 
 
 </li>
 </ul>
 
 Domain Expertise:
 
 
 
 <ul>
 <li>
 Profound understanding of client lifecycle management (CRM, TA, institutional &amp; wholesale data)
 </li>
 <li>
 Strong grasp of investment data&mdash;trading, ABOR, IBOR, security, and fund reference
 </li>
 <li>
 Excellent knowledge of European regulatory frameworks, especially MiFID II, EMIR, SFDR, and ESG reporting
 
 
 </li>
 </ul>
 
 Technical Understanding (Conceptual, not hands-on):
 
 
 
 <ul>
 <li>
 Working knowledge of SQL, advanced Excel, and basic familiarity with Python / ML concepts
 </li>
 <li>
 Solid understanding of data management, governance, and modelling techniques (Dimensional, Data Vault)
 
 
 </li>
 </ul>
 
 Leadership &amp; Communication:
 
 
 
 <ul>
 <li>
 Proven experience in senior stakeholder management and cross-functional collaboration
 </li>
 <li>
 Ability to operate effectively in outsourcing / hybrid delivery models
 
 
 </li>
 </ul>
 
 Mindset &amp; Attributes:
 
 
 
 <ul>
 <li>
 Strong analytical thinking, problem-solving, and attention to detail
 </li>
 <li>
 Automation-driven mindset to optimize data reporting processes
 </li>
 <li>
 Commercial acumen to rationalize market data usage and control costs
 
 
 </li>
 </ul>
 
 
 Desirable / Good-to-Have
 
 
 
 
 <ul>
 <li>
 Experience with Salesforce CRM and Transfer Agency / Platform data
 </li>
 <li>
 Understanding of fund factsheet and institutional reporting calculations
 </li>
 <li>
 Exposure to data-driven go-to-market functions like marketing and client analytics
 </li>
 </ul>
</div>

Data product owner

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Aggregate and normalize HR data from multiple platforms
 </li>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
 </li>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
 </li>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2+ yrs of Experience as Data Analyst with experience in Python (NumPy &amp; Pandas) including (Matplotlib / Seaborn) &amp; EDA &amp; SQL &amp; Scikitlearn library.
 </li>
 <li>
 Experience with AWS DB - (S3 Bucket or Redshift) is required.
 </li>
 <li>
 Basic understanding of ETL / Glue data pipelines.
 </li>
 </ul>
 
 
 
 
 
 What will give you a competitive edge (preferred qualifications):
 
 
 <ul>
 <li>
 Hands on Experience with Dashboarding e.g Quicksight
 </li>
 <li>
 Desired experience working with HR Data
 </li>
 <li>
 Experience working with Glue/Lambda to develop data pipelines
 </li>
 <li>
 Experience working with DBT
 </li>
 </ul>
</div>

Data Analyst [T500-20905]

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