ai content expert Jobs in Hyderabad India

ai content expert

associate software engineer Jobs in Hyderabad India

associate software engineer

consultant-machine learning Jobs in Hyderabad India

consultant-machine learning

data engineer, specialist Jobs in Hyderabad India

data engineer, specialist

ey - gds consulting - ai and data -gen ai - senior Jobs in Hyderabad India

ey - gds consulting - ai and data -gen ai - senior

artificial intelligence specialist

Amazon

<div>
 
 Description
 
 
 
 Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months.
 
 
 Key job responsibilities
 
 
 As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data.
 
 
 <ul>
 <li>
 Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
 </li>
 <li>
 Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
 </li>
 <li>
 Performing audits and quality checks of tasks completed by other specialists, if required
 </li>
 <li>
 Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
 </li>
 <li>
 Diving deep into issues and implementing solutions independently
 </li>
 <li>
 Identifying and reporting tooling bugs and suggesting improvements
 
 
 </li>
 </ul>
 A day in the life
 
 
 We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.
 
 
 Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers&rsquo; lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field or equivalent professional experience
 </li>
 <li>
 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup.
 </li>
 <li>
 Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
 </li>
 <li>
 Excellent attention to details and ability to focus for a long period of time
 </li>
 <li>
 Ability to effectively write and evaluate diverse subject matter across various domains*
 </li>
 <li>
 Ability to adapt writing style to suit various style guidelines and customers.
 </li>
 <li>
 Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale).
 </li>
 <li>
 Experience with creating complex data for LLM training and evaluation
 </li>
 <li>
 Strong understanding of U.S.-based culture, society, and norms.
 </li>
 <li>
 Comfortable with high-school level STEM*
 </li>
 <li>
 Familiarity with common markup languages such as HTML, XML, Markdown
 </li>
 <li>
 Familiarity with common standard text formats such as JSON, CSV, RTF
 </li>
 <li>
 Working knowledge of Python or another scripting language
 </li>
 <li>
 Familiarity with regular expressions syntax
 </li>
 <li>
 Familiarity with Large Language Models
 </li>
 <li>
 Comfort in annotation work that may include sensitive content
 
 
 </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 16 SEZ - H83
 
 
 Job ID: A3120972
</div>

AI Content Expert

Micron Technology

<div>
 
 Our vision is to transform how the world uses information to enrich life for
 
 all
 
 .
 
 
 
 Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Provide advice and counsel to Micron&rsquo;s EHS team members and other business and operations leaders in order to ensure compliance with applicable laws, regulations, and policies and to drive performance on EHS efforts
 </li>
 <li>
 Partner closely with EHS personal to respond to noncompliance-incidents and events and EHS-related government inquiries and investigations
 </li>
 <li>
 Provide advice and counsel for product-based compliance with EHS legal requirements
 </li>
 <li>
 Provide input and support for Micron&rsquo;s Sustainability program
 </li>
 <li>
 Draft and revise contracts and individual contract terms regarding EHS matters and reflecting EHS programs and policies.
 </li>
 <li>
 Provide EHS advice and counsel for Micron acquisitions and divestitures and assist with EHS-related due diligence, as needed
 </li>
 <li>
 Provide EHS legal training
 </li>
 <li>
 Assist in litigation matters and enforcement or regulatory matters before governmental agencies on EHS matters
 </li>
 <li>
 Engage with EHS regulatory agencies throughout Micron&rsquo;s Asia-based operations
 </li>
 <li>
 Monitor for changes and developments in EHS laws and regulations in Asia and assist in the development of forward-thinking strategies to effectively navigate those changes
 </li>
 <li>
 Retain and manage outside counsel and outside consultants as needed
 </li>
 <li>
 Occasional international travel to Micron&rsquo;s manufacturing sites
 
 </li>
 </ul>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 4+ years PQE of legal practice in a top-tier law firm or an in-house legal environment, preferably in the area of EHS matters
 </li>
 <li>
 Strong drafting and communication skills
 </li>
 <li>
 A proven track-record of high integrity, ethical conduct, and sound judgment
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Prior experience advising on global manufacturing operations, preferably for a U.S. headquartered company
 </li>
 <li>
 The ability to engage a diverse cross-functional group of stakeholders and support results across a matrixed organization
 </li>
 <li>
 Experience engaging with team members from diverse cultures and backgrounds
 </li>
 <li>
 Strong English language written and verbal skills to effectively interface with all levels of business management and with government officials. Mandarin or other business language skills a plus.
 
 </li>
 </ul>
 </ul>
 
 Additional Job Description
 
 
 
 Responsible for handling legal projects or issues for the Company, typically within the incumbent's area(s) of expertise. Reviews information and data, researches laws, regulations and precedents, and prepares recommendations and/or documents to support the Company. May present/defend cases in court.
 
 
 
 About Micron Technology, Inc.
 
 
 
 We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life
 
 for all
 
 . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron&reg; and Crucial&reg; brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities &mdash; from the data center to the intelligent edge and across the client and mobile user experience.
 
 
 To learn more, please visit micron.com/careers
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com
 
 
 Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
 
 
 Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
</div>

Associate General Counsel - Legal EHS

<div>
 Requisition Id : 1637229
 
 
 Role:
 
 
 The Data Engineer, Specialist is responsible for designing, developing and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. This role involves building robust ETL (Extract, Transform, Load) processes, managing databases and optimizing cloud-based data platforms to ensure efficient and seamless integration of data from multiple sources.
 
 
 Roles &amp; Responsibilities:
 
 
 Develop and maintain scalable ETL (Extract, Transform, Load) processes to efficiently extract data from diverse sources, transform it as required and load it into data warehouses or analytical systems.
 
 
 Design and optimize database architectures and data pipelines to ensure high performance, availability and security while supporting structured and unstructured data.
 
 
 Integrate data from multiple sources, including APIs, third-party services and on-prem/cloud databases to create unified and consistent datasets for analytics and reporting.
 
 
 Collaborate with data scientists, analysts and business stakeholders to understand their data needs, develop data solutions and enable self-service analytics.
 
 
 Develop automated workflows and data processing scripts using Python, Spark, SQL, or other relevant technologies to streamline data ingestion and transformation.
 
 
 Optimize data storage and retrieval strategies in cloud-based data warehouses such as AWS Redshift, Google Big Query, or Azure Synapse, ensuring scalability and cost-efficiency.
 
 
 Maintain and improve data quality by implementing validation frameworks, anomaly detection mechanisms and data cleansing processes.
 
 
 Thoroughly tests code to ensure accuracy and alignment with its intended purpose. Reviews the final product with end users to confirm clarity and understanding, providing data analysis guidance as needed.
 
 
 Offers tool and data support to business users and team members, ensuring seamless functionality and accessibility.
 
 
 Conducts regression testing for new software releases, identifying issues and collaborating with vendors to resolve them and successfully deploy the software into production.
</div>

Data Engineer, Specialist

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work 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 Machine Learning Services and Pipelines.
 
 
 
 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>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be 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 required
 </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>
 </ul>
</div>

Data Scientist

<div>
 
 Description
 
 
 
 Overview: Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. The Account Health Specialist within the Account Health Support team acts as the primary interface between Amazon and our business partners. We obsess over providing world class support to Sellers selling on the Amazon platform. We strive to predict the Seller's needs before they recognize they may have a problem, create innovative self-help tools, and provide solutions to help our partners better serve their customers.
 
 
 Position Description: Account Health Support Specialist LOCATION Hyderabad, India LANGUAGE REQUIREMENTS English &amp; Arabic SHIFT REQUIREMENTS Sun-Sat Amazon is seeking dedicated, hardworking, analytical candidates with a proven track record of performance and results-oriented thinking, to join the Account Health Support team in Hyderabad. Candidates will be responsible for a wide range of duties related to the investigation and elimination of online ecommerce risk. All candidates will be analytical and capable of succeeding in a fast-paced team environment.
 
 
 The Account Health Support Specialist acts as the primary interface between Amazon and our business partners. The Account Health Support Specialist will be responsible for providing timely and accurate operational support to Sellers selling on the Amazon platform. The successful candidate has an immediate, distinct effect on the experience of customers of Amazon, making a strong record of customer focus a high standard for the role. A Account Health Support Specialist is expected to address chronic system issues, provide process improvements, develop internal documentation, and contribute to a team environment, all while adhering to service level agreements for phone and/or email cases.
 
 
 The Account Health Support Specialist position relies on excellent judgment to plan and accomplish goals and will work under very limited supervision of the Manager. Excellent individual problem-solving and analytical skills are used to authenticate complex transactions. The Account Health Support Specialist will be required to engage in frequent written and verbal communication. They also will be required to contact business partners by phone.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Candidate must have B.A/M.A in Arabic from recognized university.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Speak, write, and read fluently in Arabic
 
 
 </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
 
 - Amazon Dev Center India - Hyderabad
 
 
 Job ID: A3117211
</div>

Account Health Support Specialist - English & Arabic, Account Health Support

Teradata

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What You'll Do: Shape the Way the World Understands Data
 
 
 
 At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics&trade; platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of
 
 autonomous and agentic systems
 
 
 
 We&rsquo;re building intelligent systems that go far beyond automation &mdash; they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you&rsquo;ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.
 
 
 You&rsquo;ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software &mdash; from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.
 
 
 If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
 
 
 
 Who You'll Work With: Join Forces with the Best
 
 
 
 Imagine collaborating daily with some of the brightest minds in the company &ndash; individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.
 
 
 You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.
 
 
 
 What Makes You a Qualified Candidate: Skills in Action
 
 
 
 <ul>
 <li>
 Experience working with modern data platforms like Teradata, Snowflake, and Databricks
 </li>
 <li>
 Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
 </li>
 <li>
 You are an excellent backend engineer who codes daily and owns systems end-to-end.
 </li>
 <li>
 Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
 </li>
 <li>
 Strong system design skills and understanding of distributed systems.
 </li>
 <li>
 You&rsquo;re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
 </li>
 <li>
 Hands-on experience with Machine learning &amp; deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
 
 
 </li>
 </ul>
 
 What You Bring: Passion and Potential
 
 
 
 <ul>
 <li>
 A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field &ndash; your academic foundation is key.
 </li>
 <li>
 A genuine excitement for AI and large language models (LLMs) is a significant advantage &ndash; you'll be working at the cutting edge!
 </li>
 <li>
 Design, develop, and deploy agentic systems integrated into the data platform.
 </li>
 <li>
 3+ years of experience in software architecture, backend systems, or AI infrastructure.
 </li>
 <li>
 Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
 </li>
 <li>
 Passion for building safe, human-aligned autonomous systems.
 </li>
 <li>
 Experience in software development (Python, Go, or Java preferred).
 </li>
 <li>
 Familiarity with backend service development, APIs, and distributed systems.
 </li>
 <li>
 Interest or experience in LLMs, autonomous agents, or AI tooling.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
 </li>
 <li>
 Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
 </li>
 <li>
 Bonus: Research experience or contributions to open-source agentic frameworks.
 </li>
 <li>
 You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level
 
 : Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3-6 years of relevant hands-on experience in Data Science, Machine Learning, Statistical Modeling
 </li>
 <li>
 Must have strong hands-on experience with programming languages like Python, PySpark and SQL, and frameworks such as Numpy, Pandas, Scikit-learn, etc.
 </li>
 <li>
 Expertise in Classification, Regression, Time series, Decision Trees, Optimization, etc.
 </li>
 <li>
 Hands on knowledge of Docker containerization, GIT, Tableau or PowerBI
 </li>
 <li>
 Model deployment on Cloud or On-prem will be an added advantage
 </li>
 <li>
 Familiar with Databricks, Snowflake, or Hyperscalers (AWS/Azure/GCP/NVIDIA)
 </li>
 <li>
 Deliver large-scale DS/ML end to end projects across multiple industries and domains
 </li>
 <li>
 Liaison with on-site and client teams to understand various business problem statements, use cases and project requirements
 </li>
 <li>
 Work with a team of Data Engineers, ML/AI Engineers, DevOps, and other Data &amp; AI professionals to deliver projects from inception to implementation
 </li>
 <li>
 Utilize maths/stats, AI, and cognitive techniques to analyze and process data, predict scenarios, and prescribe actions.
 </li>
 <li>
 Drive a human-led culture of Inclusion &amp; Diversity by caring deeply for all team members
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Should follow research papers, comprehend and innovate/present the best approaches/solutions related to DS/ML
 </li>
 <li>
 AI/Cloud certification from a premier institute is preferred.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 300100
</div>

Consultant-Machine Learning

Explore 33+ Artificial intelligence specialist in Hyderabad India this November. Find roles across top companies and apply now to boost your career.