software engineer

electrical engineer

engineering manager

ml engineer

PepsiCo

<div>
 
 
 Location: Hyderabad and Gurgaon.
 
 
 
 
 
 
 
 Overview
 
 
 
 Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Pipelines.
 
 
 
 
 You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Active contributor to code &amp; development in projects and services
 </li>
 <li>
 Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
 </li>
 <li>
 Partner with ML engineers working on industrialization.
 </li>
 <li>
 Communicate with business stakeholders in the process of service design, training and knowledge transfer.
 </li>
 <li>
 Support large-scale experimentation and build data-driven models.
 </li>
 <li>
 Refine requirements into modelling problems.
 </li>
 <li>
 Influence product teams through data-based recommendations.
 </li>
 <li>
 Research in state-of-the-art methodologies.
 </li>
 <li>
 Create documentation for learnings and knowledge transfer.
 </li>
 <li>
 Create reusable packages or libraries.
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Leverage big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Implement end-to-end ML lifecycle with Azure Databricks and Azure Pipelines
 </li>
 <li>
 Automate ML models deployments
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 BE/B.Tech in Computer Science, Maths, technical fields.
 </li>
 <li>
 Overall 2-4 years of experience working as a Data Scientist.
 </li>
 <li>
 2+ years&rsquo; experience building solutions in the commercial or in the supply chain space.
 </li>
 <li>
 2+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
 </li>
 <li>
 Fluent in SQL syntaxis.
 </li>
 <li>
 2+ years&rsquo; experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
 </li>
 <li>
 2+ years&rsquo; experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development.
 </li>
 <li>
 Data Science &ndash; Hands on experience and strong knowledge of building machine learning models &ndash; supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus
 </li>
 <li>
 Programming Skills &ndash; Hands-on experience in statistical programming languages like Python, Pyspark and database query languages like SQL
 </li>
 <li>
 Statistics &ndash; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Cloud (Azure) &ndash; Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
 </li>
 <li>
 Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
 </li>
 <li>
 Experience with Agile methodology for team work and analytics &lsquo;product&rsquo; creation.
 </li>
 <li>
 Experience in Reinforcement Learning is a plus.
 </li>
 <li>
 Experience in Simulation and Optimization problems in any space is a plus.
 </li>
 <li>
 Experience with Bayesian methods is a plus.
 </li>
 <li>
 Experience with Causal inference is a plus.
 </li>
 <li>
 Experience with NLP is a plus.
 </li>
 <li>
 Experience with Responsible AI is a plus.
 </li>
 <li>
 Experience with distributed machine learning is a plus
 </li>
 <li>
 Experience in DevOps, hands-on experience with one or more cloud service providers AWS, GCP, Azure(preferred)
 </li>
 <li>
 Model deployment experience is a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is preferred
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 <li>
 Stakeholder engagement-BU, Vendors.
 </li>
 <li>
 Experience building statistical models in the Retail or Supply chain space is a plus
 </li>
 </ul>
 
 
</div>

Data Scientist

NxtWave

<div>
 
 
 Job Description:
 
 
 
 At NIAT, we believe in delivering practical, industry-relevant training that empowers students to become great developers. Our product developers are passionate about teaching, simplifying complex concepts, and creating inclusive learning environments for students. This is your chance to make a lasting impact on students who have just completed their 12th standard and are eager to excel as developers.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Deliver daily in-person classroom training on programming and/or full-stack development.
 </li>
 <li>
 Design, develop, and implement learning activities, materials, and resources that align with industry standards.
 </li>
 <li>
 Provide personalized learning experiences by understanding student needs and delivering tailored support throughout the program.
 </li>
 <li>
 Actively assist and resolve student queries and issues promptly, providing mentorship and guidance.
 </li>
 <li>
 Contribute to curriculum development and improvements based on student feedback and industry trends.
 </li>
 <li>
 Continuously develop and demonstrate a teaching philosophy that inspires student learning.
 </li>
 <li>
 Review student deliverables for accuracy and quality.
 </li>
 <li>
 Handle a class size of 70-100 students, ensuring engagement and effective learning outcomes.
 </li>
 <li>
 Stay current with professional development in both pedagogy and software development practices
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 A Masters degree (M.Tech) in CSE, IT, Data science,AI/ML,Software Engineer etc will be an added advantage.
 </li>
 <li>
 Having teaching or training experience in Computer Science is an added advantage.
 </li>
 <li>
 Passion for teaching and mentoring, with a commitment to student success.
 </li>
 <li>
 Alignment with NxtWaves vision and culture.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Skills Must-Have:
 
 
 <ul>
 <li>
 Professional fluency in English, with excellent communication and presentation skills.
 </li>
 <li>
 Strong proficiency in Python, Java, and JavaScript programming languages. Knowledge of additional programming languages is an added advantage.
 </li>
 <li>
 Strong proficiency in Data Structures and Algorithms.
 </li>
 <li>
 Strong knowledge of object-oriented programming.
 </li>
 <li>
 Proficiency in content development using tools like Google Sheets, Google Slides, etc. (Knowledge of Microsoft 365 stack is a plus).
 </li>
 <li>
 Ability to quickly learn and use technology platforms to interact with students.
 </li>
 <li>
 Empathy, ambition, and the ability to work closely with individuals from diverse backgrounds and cultures.
 </li>
 </ul>
 
 
 Good to Have
 
 
 <ul>
 <li>
 Familiarity with Git and version control systems.
 </li>
 <li>
 Strong knowledge of the subject matter, industry standards, and best practices in software development.
 </li>
 <li>
 Ability to adapt teaching methods to various learning styles &amp; requirements.
 </li>
 <li>
 Strong problem-solving and solution-seeking mindset.
 </li>
 <li>
 Openness to constructive feedback and continuous improvement.
 </li>
 <li>
 A sense of ownership, initiative, and drive for delivering high-quality teaching outcomes.
 </li>
 </ul>
 
 
 
 Job Overview:
 
 
 
 
 
 Working days:
 
 6 days a week
 
 
 
 Industry Type:
 
 Education / Training
 
 
 
 Department:
 
 CSE
 
 
 
 Education PG:
 
 M.Tech in CSE or (Computer Science relevant branches)
 
 
 
</div>

Software Development Faculty Trainee

Experian

<div>
 
 
 Company Description
 
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.co
 
 m
 
 
 
 
 
 Job Description
 
 
 
 
 
 Job description
 
 
 
 We are looking for a Senior QA Engineer to join our Ascend Cloud Foundation Platform team.
 
 
 
 Background:
 
 
 
 We unlock the power of data to create opportunities for consumers, businesses and society. At life&rsquo;s big moments &ndash; from buying a home or car, to sending a child to university, to growing a business exponentially by connecting it with new customers &ndash; we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity.
 
 
 We're looking for a Senior QA Engineer to join our team and help ensure the quality of our cloud-based applications. You&rsquo;ll bring a strong background in test automation, AWS batch processing, and large-scale backend systems, and thrive in agile environments. As a key member of the QA team, you&rsquo;ll contribute to test planning, develop automation frameworks, and collaborate closely with cross-functional teams to uphold high quality standards.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Participate in defining and executing test plans and strategies
 </li>
 <li>
 Design, develop, and maintain automated test scripts and frameworks
 </li>
 <li>
 Ensure comprehensive test coverage across functional, integration, regression, and performance testing
 </li>
 <li>
 Collaborate with developers, product managers, and DevOps to integrate quality throughout the SDLC
 </li>
 <li>
 Contribute to CI/CD pipeline integration for automated testing
 </li>
 <li>
 Support defect triaging and root cause analysis
 </li>
 <li>
 Advocate for best practices in testing, including shift-left approaches
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 Required Skills/ Experience:
 
 
 
 <ul>
 <li>
 5+ years of experience in Quality Assurance, with at least 1&ndash;2 years in a senior or advanced role
 </li>
 <li>
 Solid understanding of QA methodologies, agile testing, and SDLC practices
 </li>
 <li>
 Hands-on experience with automation tools such as Selenium, Cypress, or similar
 </li>
 <li>
 Familiarity with CI/CD tools like Jenkins or Bamboo
 </li>
 <li>
 Experience with API testing and SQL
 </li>
 <li>
 Working knowledge of AWS services such as Glue, S3, Step Functions, Lambdas, EventBridge, and SQS
 </li>
 <li>
 Proficiency in at least one programming/scripting language (e.g., Java, Python, Scala, JavaScript)
 </li>
 <li>
 Experience with BDD/TDD frameworks
 
 
 </li>
 </ul>
 
 Advantageous Experience:
 
 
 
 <ul>
 <li>
 Experience with Big Data testing
 </li>
 <li>
 Mentor Junior QA engineers
 </li>
 <li>
 Proficiency in SQL and Data validation
 </li>
 <li>
 Knowledge of Performance Testing tools
 </li>
 <li>
 Familiarity to AI/ML Model Testing
 </li>
 <li>
 Basic understanding of security testing
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer science, Engineering, or related field
 
 
 </li>
 </ul>
 
 
 Additional Information
 
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Global Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 
 
 Benefits
 
 
 
 
 Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior QA Engineer

Capgemini

<div>
 
 Our Client is one of the United States' largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&amp;C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
 
 
 
 We are looking for a
 
 Data Analyst
 
 to be part of the Enterprise ML Ops Capability team dedicating to maturing our client's ability to deploy and train models at scale.
 
 
 
 Key Activities
 
 
 
 <ul>
 <li>
 Respond to both ad-hoc and routine requests for data, reports, or modeling pipelines by delivering the necessary information and analysis
 </li>
 <li>
 Gain a clear understanding of customer goals and workflows, clearly explain system functionalities and constraints, and provide accessible data solutions
 </li>
 <li>
 Evaluate data quality and implement corrective measures as needed
 </li>
 <li>
 Assess how system modifications affect data and reporting structures, supporting testing and rollout processes
 </li>
 <li>
 Contribute your data knowledge and insights to complex AI/ML modeling initiatives
 </li>
 <li>
 Develop subject matter expertise across various data sources
 </li>
 <li>
 Leverage proficiency in SQL and Python to design, build, and deploy robust, production-ready code for data pipelines and modeling, troubleshoot issues, and deliver effective solutions
 
 
 </li>
 </ul>
 Working with business analytics team
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 4-6 years of experience in a similar role
 </li>
 <li>
 Full English Fluency
 </li>
 <li>
 4 years in data extraction, manipulation, and presentation in usable format
 </li>
 <li>
 Bachelor's degree preferably in Information Systems or related field
 </li>
 <li>
 Experience Build and Deploy code
 </li>
 <li>
 Knowledge, business solutions
 
 
 </li>
 </ul>
 
 Technical &amp; Business Skills
 
 
 
 <ul>
 <li>
 Data Mapping - Intermediate
 </li>
 <li>
 Self Starter - Advanced
 </li>
 <li>
 Data Analytics
 </li>
 <li>
 Communication and Stakeholder Management
 </li>
 <li>
 SQL - Intermediate (4-6 Years)
 </li>
 <li>
 Python - Intermediate (4-6 Years)
 </li>
 <li>
 Snowflake (Desirable)
 </li>
 <li>
 AWS (Highly Desirable)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 This position comes with competitive compensation and benefits package:
 
 
 <ul>
 <li>
 Competitive salary and performance-based bonuses
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Career development and training opportunities
 </li>
 <li>
 Flexible work arrangements (remote and/or office-based)
 </li>
 <li>
 Dynamic and inclusive work culture within a globally renowned group
 </li>
 <li>
 Private Health Insurance
 </li>
 <li>
 Pension Plan
 </li>
 <li>
 Paid Time Off
 </li>
 <li>
 Training &amp; Development
 
 
 </li>
 </ul>
 
 About Capgemini
 
 
 
 Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group &euro;22.5 billion in revenues in 2023.
</div>

FBS Data Analyst

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 4

Enterprise Minds, Inc

<div>
 
 Data Scientists / Data Visualization Experts (Python) &amp; Data Engineers
 
 
 
 
 
 📍
 
 Location:
 
 Remote (Work from Anywhere)
 
 
 💼
 
 Experience:
 
 8&ndash;10 years
 
 
 
 
 
 ⚡
 
 Proficiency Level:
 
 Lead / Senior (Production-level coding)
 
 
 
 About the Role
 
 
 
 We are looking for highly skilled
 
 Data Scientists, Data Visualization Experts (Python), and Data Engineers
 
 to join our team on a
 
 remote contingent project
 
 . This role is focused on building high-quality
 
 datasets and visualizations for LLM (Large Language Model) training
 
 .
 
 
 You will play a critical role in:
 
 <ul>
 <li>
 Designing and creating advanced
 
 visualizations
 
 .
 </li>
 <li>
 Replicating dashboards from existing images.
 </li>
 <li>
 Conducting
 
 insight evaluation
 
 and prompt creation.
 </li>
 <li>
 Writing
 
 production-grade Python code
 
 for scalable data workflows.
 </li>
 </ul>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 data pipelines
 
 and visualization assets.
 </li>
 <li>
 Build dashboards and replicate designs from provided visuals.
 </li>
 <li>
 Perform
 
 data wrangling, cleaning, and transformation
 
 for ML readiness.
 </li>
 <li>
 Apply strong
 
 analytical reasoning
 
 to extract meaningful insights.
 </li>
 <li>
 Ensure production-quality code for
 
 scalable and reliable solutions
 
 .
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 
 Python
 
 : pandas, matplotlib, plotly, bokeh, dash
 </li>
 <li>
 
 Data wrangling &amp; transformation
 
 </li>
 <li>
 
 Data visualization &amp; dashboarding
 
 </li>
 <li>
 
 Data engineering workflows
 
 </li>
 <li>
 Strong
 
 analytical and problem-solving skills
 
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 8&ndash;10 years of hands-on experience in
 
 Data Science / Data Engineering / Data Visualization
 
 .
 </li>
 <li>
 Ability to operate at a
 
 lead level
 
 and deliver production-ready code.
 </li>
 <li>
 Strong communication and collaboration skills in a
 
 remote team environment
 
 .
 </li>
 </ul>
 
 
</div>

GlobalLogic

<div>
 
 Description
 
 
 
 GlobalLogic is looking for a skilled Data Analyst with 3&ndash;8 years of experience to support AI/ML data operations. The ideal candidate will have strong proficiency in SQL and Python, a solid understanding of data labeling metrics, and the ability to translate complex data into actionable insights. Excellent communication skills and a detail-oriented, self-starter mindset are essential.
 
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
 </li>
 <li>
 3&ndash;8 years of hands-on experience in data analysis, ideally within AI/ML or data labeling environments.
 </li>
 <li>
 Proficient in SQL and Python for data manipulation, analysis, and process automation.
 </li>
 <li>
 Solid understanding of data labeling workflows and evaluation metrics (e.g., accuracy, precision, recall, inter-rater agreement).
 </li>
 <li>
 Strong analytical and problem-solving skills with the ability to interpret large datasets and generate actionable insights.
 </li>
 <li>
 Excellent communication skills, capable of presenting findings to both technical and non-technical stakeholders.
 
 
 
 </li>
 </ul>
 Job responsibilities
 
 
 
 <ul>
 <li>
 Analyze large datasets (labeled &amp; unlabeled) to identify trends, anomalies, and labeling patterns to improve model performance and operational efficiency.
 </li>
 <li>
 Design and maintain automated dashboards and reporting tools to track labeling quality, throughput, and trends.
 </li>
 <li>
 Work closely with Client leadership to understand data needs and deliver actionable insights for model optimization.
 </li>
 <li>
 Build and maintain scalable data pipelines for validation, aggregation, and visualization.
 </li>
 <li>
 Apply data mining techniques to assess annotation consistency and inter-rater reliability.
 </li>
 <li>
 Support AI data evaluation strategies through experimentation and iterative feedback.
 </li>
 <li>
 Collaborate with cross-functional teams to improve annotation workflows and ensure metrics alignment.
 
 
 
 </li>
 </ul>
 What we offer
 
 
 
 Culture of caring.
 
 At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you&rsquo;ll experience an inclusive culture of acceptance and belonging, where you&rsquo;ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
 
 
 
 Learning and development.
 
 We are committed to your continuous learning and development. You&rsquo;ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
 
 
 
 Interesting &amp; meaningful work.
 
 GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you&rsquo;ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what&rsquo;s possible and bring new solutions to market. In the process, you&rsquo;ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
 
 
 
 Balance and flexibility.
 
 We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
 
 
 
 High-trust organization.
 
 We are a high-trust organization where integrity is key. By joining GlobalLogic, you&rsquo;re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
 
 
 
 About GlobalLogic
 
 
 
 GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world&rsquo;s largest and most forward-thinking companies. Since 2000, we&rsquo;ve been at the forefront of the digital revolution &ndash; helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
</div>

Data Analyst IRC267968

Explore 21+ Ml engineer in Hyderabad this September. Find roles across top companies and apply now to boost your career.

21 ml engineer jobs IN Hyderabad

Data Scientist

Software Development Faculty Trainee

Senior QA Engineer

FBS Data Analyst

Applied Scientist 4

Data Scientist

Data Analyst IRC267968