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Intellias

<div>
 
 
 
 Project overview
 
 
 
 
 Are you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as machine Learning Engineer
 
 
 
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience in Computer Vision, NLP, Generative AI demonstrated through relevant projects or research.
 </li>
 <li>
 Proficiency in programming languages such as Python and libraries/frameworks like TensorFlow, PyTorch, OpenCV, spaCy, etc. and cloud AI services Aws/Azure/GCP
 </li>
 <li>
 Proven ability to bridge the gap between technical concepts and business impact, with a clear understanding of how data science aligns with business goals.
 </li>
 <li>
 Excellent communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 Nice to have
 
 
 
 <ul>
 <li>
 GCP Professional Machine Learning Engineer certification (not older than a year)
 </li>
 <li>
 Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
 </li>
 </ul>
 
 
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Drive/Participate the ideation, development, and execution of POCs and AI related project
 </li>
 <li>
 Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
 </li>
 <li>
 Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

CDK Global

<div>
 
 About Us
 
 
 
 CDK Global is a leading provider of cloud-based software to dealerships and Original Equipment Manufacturers (&ldquo;OEMs&rdquo;) across automotive and related industries. The Company&rsquo;s cloud-based, software as a service (&ldquo;SaaS&rdquo;) platform enables dealerships to manage their end-to-end business operations including the acquisition, sale, financing, insuring, repair, and maintenance of vehicles. By automating and streamlining critical workflows, the integrated platform of modern solutions enables dealers to sell and service more vehicles by creating simple and convenient experiences for customers and improves their financial and operational performance. Visit www.cdkglobal.com
 
 
 At CDK Global, we are focused on connections that allow us to deliver world-class software, support, and data insights. Our values define who we are and how we show up for each other, our customers, and our communities. Our values: Stay Curious, Own It, Be Open, Create Possibilities.
 
 
 
 About The Role
 
 
 
 CDK Global is transforming the automotive retail experience through cutting-edge AI innovations. We are looking for an exceptional
 
 Applied Scientist
 
 to join our Applied AI Engineering team and help build intelligent, scalable, and impactful solutions for dealerships, OEMs, and consumers.
 
 
 As an Applied Scientist, you will work on end-to-end development of machine learning and GenAI use-cases&mdash;ranging from recommendation engines and forecasting models to classification systems and generative AI applications. You will be part of a cross-functional team driving real-world business outcomes using advanced AI/ML and data science.
 
 
 
 Why CDK?
 
 
 
 <ul>
 <li>
 Be a part of redefining automotive retail using next-gen AI
 </li>
 <li>
 Collaborate with a diverse, global, and innovative team
 </li>
 <li>
 Opportunity to experiment with frontier AI techniques including Generative AI and RAG
 </li>
 <li>
 Competitive compensation, benefits, and a growth-oriented culture
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, build, and deploy ML models for recommendation systems, service forecasting, classification problems, and Gen AI-powered applications
 </li>
 <li>
 Own the full lifecycle of AI/ML projects&mdash;from data exploration and feature engineering to model training, evaluation, and deployment
 </li>
 <li>
 Collaborate with product managers, data engineers, MLOps teams, and architects to create production-ready solutions
 </li>
 <li>
 Leverage LLMs (Large Language Models) and Retrieval-Augmented Generation (RAG) for intelligent customer experiences and automation
 </li>
 <li>
 Ensure high model performance, interpretability, and scalability across diverse datasets and use-cases
 </li>
 <li>
 Contribute to building reusable AI/ML components and pipelines to accelerate development velocity
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Computer Science, Machine Learning, Data Science, Statistics, or a related technical field
 </li>
 <li>
 3+ years of experience in building machine learning models for real-world business applications
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Experience with key ML techniques including regression, classification, collaborative filtering, and deep learning
 </li>
 <li>
 Familiarity with model deployment tools (e.g., FastAPI, Docker, AWS/GCP/Azure ML services)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software engineering principles
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in recommendation engines, time-series forecasting, and NLP/GenAI (e.g., OpenAI, LangChain, Transformers)
 </li>
 <li>
 Experience with deploying models in production environments and maintaining MLOps workflows
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business objectives into technical solutions
 </li>
 <li>
 Demonstrated thought leadership via patents, publications, or internal innovations
 </li>
 <li>
 Comfortable working in fast-paced, ambiguous environments where autonomy and self-direction are key
 
 
 </li>
 </ul>
 At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.
 
 
 CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.
 
 
 Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.
</div>

Applied Scientist - AI/ML

Zensar Technologies

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 Lead the development and optimization of ASR (Automatic Speech Recognition), TTS (Text-to-Speech), NLU (Natural Language Understanding), and LLM-based components for conversational AI applications.
 </li>
 <li>
 Architect and implement data pipelines for training, evaluating, and deploying speech and language models at scale.
 </li>
 <li>
 Develop and fine-tune speech recognition, text-to-speech, and natural language understanding (NLU) models.
 </li>
 <li>
 Evaluate and optimize ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) engines for accuracy, latency, and user experience.
 </li>
 <li>
 Integrate LLMs (e.g., Open AI, GPT, PaLM, BERT, Claude) into conversational workflows to enhance contextual understanding and response generation.
 </li>
 <li>
 Strong experience with NLP frameworks (spaCy, Transformers) and LLMs.
 </li>
 <li>
 Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Design and implement speech analytics solutions for: call categorization, call tagging, sentiment analysis and trend analysis
 </li>
 </ul>
</div>

Data Scientist India _Pune..., 1 Position

Kapittx- AI-Powered Accounts Receivable Automation & B2B Payments

<div>
 
 
 About Kapittx
 
 
 
 
 
 
 Championing the digital transformation objectives of CFOs and Finance teams, Kapittx (www.kapittx.com) stands as an AI-powered, cloud-based platform specializing in invoice-to-cash accounts receivable automation and reconciliation integrated with B2B Payments. Distinguished by ISO27001, SOC1, and SOC2 type 2 certifications, Kapittx is crafted as a digital solution tailored for large enterprises and their finance teams.
 
 
 
 
 
 Kapittx is founded by two payment industry veterans:
 
 <ul>
 <li>
 
 Kumar Karpe
 
 , ex-CEO, Ingenico ePayments India (LinkedIn)
 </li>
 <li>
 
 Anand Ramachandran
 
 , ex-CFO, Ingenico ePayments India (LinkedIn)
 </li>
 </ul>
 
 
 
 
 
 Role Overview
 
 
 
 You have an opportunity to join our passionate team working towards building a product for the global market. We are a young organization and everyone wears several hats. We are handcrafting our technology platform from the ground up so that we succeed in our ambitious mission.
 
 
 If you are not afraid to take on an audacious goal and are absolutely in love with technology, you are looking at the right role!
 
 
 As a Software Engineer at Kapittx, you'll be at the forefront of innovation, shaping our platform from the ground up. If you thrive on audacious challenges and have an unwavering passion for technology, this role is tailor-made for you.
 
 
 
 
 
 
 Tech Stack
 
 
 
 You will get an opportunity to upgrade your skills with the latest tech stack which is a blend of powerful tools and frameworks:&nbsp;
 
 AWS
 
 ,&nbsp;
 
 ReactJS
 
 ,&nbsp;
 
 MySQL
 
 ,&nbsp;
 
 Spring
 
 ,&nbsp;
 
 Java
 
 ,&nbsp;
 
 Python
 
 ,&nbsp;
 
 NodeJS
 
 ,&nbsp;
 
 LLM
 
 ,&nbsp;
 
 Git
 
 ,&nbsp;
 
 Windsurf
 
 
 
 
 Your Responsibilities
 
 
 <ul>
 <li>
 Collaborate closely with our Founding members to deeply understand the domain, write high-quality code, develop new features, and contribute to our data and AI roadmap
 </li>
 <li>
 Uphold the quality of our platform, ensuring 100% customer and user satisfaction
 </li>
 <li>
 Engage in brainstorming sessions to devise innovative approaches and technical solutions, always keeping our customers and users' needs at the forefront
 </li>
 <li>
 Embrace continuous learning, staying abreast of user behavior, technological advancements, and strategies for scaling a startup into a thriving organization
 </li>
 <li>
 Be a true team player, fostering collaboration and synergy within our engineering team
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Developer Mindset
 
 : You approach problems with a developer's mindset, seeking elegant solutions
 </li>
 <li>
 
 Full-Stack Capability
 
 : You're comfortable working across the entire stack, from frontend to backend
 </li>
 <li>
 
 Experience
 
 : You have 3-5 years of hands-on experience designing extensible software, writing robust code, and solving complex problems
 </li>
 <li>
 
 Tech Savvy
 
 : You possess a solid understanding of technology concepts, including Cloud, Algorithms, Performance, Security, and Distributed Systems
 </li>
 <li>
 
 Outcome-Driven
 
 : Rather than reacting, you articulate desired outcomes and collaboratively create paths to achieve them
 </li>
 <li>
 
 Dev Tools
 
 : You're proficient with Git (GitHub) and have code debugging skills
 </li>
 <li>
 
 Curiosity
 
 : You're eager to learn and apply technology solutions to real-world challenges
 </li>
 </ul>
 
 
 
 
 
 Why Join Kapittx
 
 
 
 Join us at Kapittx and be part of a dynamic team that's shaping the future of financial technology and B2B Payments.
 
</div>

Junior Human Software Engineer

Emerson

<div>
 
 Job Description
 
 
 
 
 In This Role, Your Responsibilities Will Be:
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
 </li>
 <li>
 Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
 </li>
 <li>
 Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
 </li>
 <li>
 Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
 </li>
 <li>
 Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
 </li>
 <li>
 Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
 </li>
 <li>
 Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
 </li>
 <li>
 Develop and implement best practices in data management, data modeling, code, and data quality assurance.
 </li>
 <li>
 Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
 </li>
 <li>
 Actively participate and contribute to innovation activities like ideathons, hackathons.
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 You take initiatives and doesn&rsquo;t wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned
 
 
 </li>
 </ul>
 
 For This Role, You Will Need:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
 </li>
 <li>
 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
 </li>
 <li>
 Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
 </li>
 <li>
 Strong programming skills in Python is a must.
 </li>
 <li>
 Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
 </li>
 <li>
 Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
 </li>
 <li>
 Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications That Set You Apart:
 
 
 
 <ul>
 <li>
 Possession of relevant certification/s in data science from reputed universities (like any of the four IIT's in India.) specializing in AI
 
 
 </li>
 </ul>
 
 Our Culture &amp; Commitment to You
 
 
 
 At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives&mdash;because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
 
 
 We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave
 
 
 
 About Us
 
 
 
 
 WHY EMERSON
 
 
 
 
 Our Commitment to Our People
 
 
 
 At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
 
 
 We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world&rsquo;s most complex problems &mdash; for our customers, our communities, and the planet. You&rsquo;ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
 
 
 At Emerson, you&rsquo;ll see firsthand that our people are at the center of everything we do. So, let&rsquo;s go. Let&rsquo;s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let&rsquo;s go, together.
 
 
 
 Accessibility Assistance or Accommodation
 
 
 
 If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com .
 
 
 
 About Emerson
 
 
 
 Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
 
 
 With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
 
 
 We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you&rsquo;re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you&rsquo;ll find your chance to make a difference with Emerson. Join our team &ndash; let&rsquo;s go!
 
 
 
 No calls or agencies please.
 
</div>

Data Science Engineer

Apexon

<div>
 
 
 About the Company:
 
 Apexon is a digital-first technology services firm specialising in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies &ndash; in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences &ndash; to help businesses capitalise on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients&rsquo; toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centres) across four continents. We enable #HumanFirstDigital
 
 
 
 
 
 
 About the Role:
 
 We are seeking a skilled AI/ML Engineer with expertise in agentic AI workflows and LLM-powered applications. The ideal candidate will design, build, and optimise AI-driven solutions for the healthcare and life sciences domain, ensuring accuracy, scalability, and compliance.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
 </li>
 <li>
 Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks (LangChain, AutoGen, LlamaIndex).
 </li>
 <li>
 Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
 </li>
 <li>
 Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
 </li>
 <li>
 Integrate AI agents securely with external systems via APIs.
 </li>
 <li>
 Collaborate with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
 </li>
 <li>
 Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance.
 </li>
 <li>
 Work cross-functionally with product and domain experts to deliver regulatory-compliant healthcare/Life Sciences AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).
 </li>
 <li>
 3&ndash;6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
 </li>
 <li>
 Strong programming skills in Python and/or TypeScript.
 </li>
 <li>
 Practical experience with frameworks such as LangChain, LlamaIndex, and AutoGen.
 </li>
 <li>
 Familiarity with AWS AI/ML services: Bedrock, SageMaker, Textract, Comprehend Medical.
 </li>
 <li>
 Proficiency in API integration and event-driven architectures.
 </li>
 <li>
 Experience in healthcare/life sciences AI solutions with an understanding of regulatory and compliance standards (HIPAA, GDPR, etc.) preferred.
 </li>
 <li>
 Strong problem-solving mindset with the ability to experiment, iterate, and optimise rapidly.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Expertise in agentic AI workflows.
 </li>
 <li>
 Experience with LLM-powered applications.
 </li>
 <li>
 Strong programming skills in Python and/or TypeScript.
 </li>
 <li>
 Familiarity with AWS AI/ML services.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience in healthcare/life sciences AI solutions.
 </li>
 <li>
 Understanding of regulatory and compliance standards.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement:
 
 Did you know that Apexon has been Certified&trade; by Great Place To Work&reg;, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK. Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, colour, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy.
 
 
 
 
 
 
 Our Commitment to Environment:
 
 Actively contribute to Apexon's commitment to environmental responsibility by following sustainable practices and supporting ESG initiatives.
 
 
 
 
 
 
 Our Perks and Benefits:
 
 Our benefits and rewards program has been thoughtfully designed to recognise your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
 
 <ul>
 <li>
 Group Health Insurance covering a family of 4
 </li>
 <li>
 Term Insurance and Accident Insurance
 </li>
 <li>
 Paid Holidays &amp; Earned Leaves
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Learning &amp; Career Development
 </li>
 <li>
 Employee Wellness
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Deutsche Bank

<div>
 
 Position Overview
 
 
 
 
 Job Title: QA Engineer - AVP
 
 
 
 
 Location: Pune, India
 
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 At the Service Solutions and AI Tribe, our mission is to revolutionize the Private Bank process landscape through holistic, front-to-back process automation.
 </li>
 <li>
 We leverage AI and workflow services to enhance efficiency, agility, and innovation&mdash;delivering best-in-class solutions across products, channels, brands, and regions. Join us in transforming the future of banking with cutting-edge technology and customer-centric design.
 </li>
 <li>
 As a QA Engineer in the dbflow squad, you will be a key contributor to ensuring the quality and reliability of our automation solutions.
 </li>
 <li>
 You will be involved throughout the software development lifecycle&mdash;from analyzing requirements and designing test cases to developing automation features and executing tests across environments. Your work will directly impact the delivery of robust, scalable, and customer-centric solutions for Private Bank Germany.
 
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Offer You
 
 
 
 As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy
 
 
 <ul>
 <li>
 Best in class leave policy
 </li>
 <li>
 Gender neutral parental leaves
 </li>
 <li>
 100% reimbursement under childcare assistance benefit (gender neutral)
 </li>
 <li>
 Sponsorship for Industry relevant certifications and education
 </li>
 <li>
 Employee Assistance Program for you and your family members
 </li>
 <li>
 Comprehensive Hospitalization Insurance for you and your dependents
 </li>
 <li>
 Accident and Term life Insurance
 </li>
 <li>
 Complementary Health screening for 35 yrs. and above
 
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze requirements and maintain comprehensive test cases aligned with sprint goals.
 </li>
 <li>
 Develop high-quality, mostly automated test solutions that meet both functional and non-functional requirements.
 </li>
 <li>
 Execute test activities across multiple environments using tools like UFT, Selenium, and SQL Developer.
 </li>
 <li>
 Actively participate in Agile ceremonies including sprint planning, stand-ups, retrospectives, and refinements.
 </li>
 <li>
 Collaborate with developers, analysts, and product owners to ensure sprint objectives are met.
 </li>
 <li>
 Continuously improve testing processes and contribute to quality advocacy within the squad.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in requirements analysis, test case creation, and execution using tools such as Performance Centre, SOAP UI, Filetransfer, SQL Developer, Quality Centre/ALM, Confluence, and Jira.
 </li>
 <li>
 Proven expertise in test automation using UFT and Selenium with Java.
 </li>
 <li>
 Experience in API testing and working within Agile/SCRUM environments.
 </li>
 <li>
 Familiarity with investment business operations and domain-specific testing.
 </li>
 <li>
 Excellent communication skills and a proactive, team-oriented mindset.
 </li>
 <li>
 Bachelor&rsquo;s degree in IT, data evaluation, or equivalent professional experience.
 
 
 
 </li>
 </ul>
 
 How We&rsquo;ll Support You
 
 
 
 <ul>
 <li>
 Training and development to help you excel in your career
 </li>
 <li>
 Coaching and support from experts in your team
 </li>
 <li>
 A culture of continuous learning to aid progression
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs
 
 
 
 </li>
 </ul>
 
 About Us And Our Teams
 
 
 
 Please visit our company website for further information:
 
 
 
 https://www.db.com/company/company.htm
 
 
 
 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
 
 
 Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
 
 
 We welcome applications from all people and promote a positive, fair and inclusive work environment.
</div>

QA Engineer - AVP

Explore 68+ Ai engineer in Pune this September. Find roles across top companies and apply now to boost your career.