engineer

ai ml engineer

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

Tata Consultancy Services

<div>
 
 Dear Candidates,
 
 
 Greeting from TCS!!!
 
 
 TCS is looking for Data Scientist
 
 
 Experience: 6-10 years
 
 
 Location: Hyderabad / Chennai
 
 
 
 
 
 MUST HAVE SKILLS:
 
 <ul>
 <li>
 Experience in building, deploying AI/ML solution using Cloudera Data Science workbench, model performance monitoring on real time &amp; remediation
 </li>
 <li>
 Python, R etc.
 </li>
 <li>
 Good knowledge of ML in customer analytics using segmentation, CLV, Cross-up sell model, propensity model etc.
 </li>
 <li>
 Good knowledge of end-to-end data science implementation including data ingestion, integration
 </li>
 <li>
 Good knowledge on channel performance, marketing strategies &amp; Optimize customer acquisition efforts
 </li>
 </ul>
 
 
 
 
 GOOD TO HAVE SKILL:
 
 <ul>
 <li>
 Masters degree in a quantitative discipline.
 </li>
 <li>
 MLOps/ DevOps
 </li>
 <li>
 BI tools like Power BI
 </li>
 </ul>
 
 
 
 
 ROLES AND RESPONSIBILITIES:
 
 <ul>
 <li>
 Ability to tailor communications to a variety of internal and external audiences.
 </li>
 <li>
 Distinctive problem-solving and analytical skills with a high degree of analytical rigor.
 </li>
 <li>
 Effective written and verbal communication and interpersonal skills.
 </li>
 <li>
 Ability to engage with senior C-level business leaders.
 </li>
 <li>
 Calm under pressure, ability to juggle multiple priorities and ambiguity.
 </li>
 <li>
 Strategic mindset, strong project management skills, keen business acumen and the ability to thrive in a rapid paced environment on multiple projects with many stakeholders
 </li>
 <li>
 Conduct deep dive diagnostic analysis on current business performance to understand business drivers, design hypothesis trees, and develop Root Cause Analysis
 </li>
 <li>
 Use Data Science and Advanced Analytics (Cluster analysis, Segmentation, Text mining, Regression Modeling, Logistic Regressions) to help generate actionable insights and recommendations and inform decision making on Cloud Marketing performance.
 </li>
 <li>
 Serve as a SME and Design insightful tests (test length, KPIs, AB test vs. MVT etc., Statistical Test to use.) that adhere to testing best practices.
 </li>
 <li>
 Develop coherent end to end problem structures ranging from objective function, key hypothesis, success KPIs, Drivers Tree and Analytics approach
 </li>
 <li>
 Collaborate with business partners to validate hypotheses and help stakeholders to think about optimization opportunities and future test plans
 </li>
 </ul>
 
 
</div>

Data Scientist

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

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>

Microsoft

<div>
 The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure&rsquo;s innovation and differentiation, as well as all of Microsoft&rsquo;s flagship products, from Office to Teams, to Xbox. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.
 
 
 Within AI Platform, the AI Foundry team enables data scientists and developers to quickly and easily build, train, deploy, manage, and consume machine learning model. Our AI Foundry OSS Model Customization Team is at the forefront of this mission, working on groundbreaking projects for customizing of OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities
 
 
 
 As a Software Engineer 2 in our team, you will:
 
 
 <ul>
 <li>
 Write clean and concise code with unit tests
 </li>
 <li>
 As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train, test, validate for machine learning algorithms including but not limited to data cleaning, model training, hyper parameter tuning at massive, distributed scale. You will also be working on scaling these features for big data using distributed systems. You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features.
 </li>
 <li>
 Your responsibilities will include contributing to and/or backend stateful services written in C# hosted on Kubernetes clusters and Docker containers to provide meaningful features to the customers. You will also be working on improving Python SDK's existing features, designing new features, implementing them in our distributed, multi-component SDK, and owning the full lifecycle of the features including testing and release.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 4+ years of experience writing production code in building internet scale services and distributed systems.  Ability to debug, read code and work on a large and increasing codebase.
 </li>
 <li>
 Engineering knowledge of machine learning systems and data pipelines.
 </li>
 <li>
 Experience mentoring other developers, working partners and being a team player.
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 #AzureAIPlatform, #AzureAIFoundry,
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer 2

Versatile Commerce

<div>
 📍Company: Versatile Commerce
 
 
 📍 Position: Data Scientists
 
 
 📍 Experience: 3-9 yrs
 
 
 📍 Location: Hyderabad (WFO)
 
 
 📅 Notice Period: 0- 15 Days
 
 
 Skills:- Retrieval Augmented Generation (RAG), Machine Learning (ML), Generative AI, Open-source LLMs, Python, NumPy and pandas
</div>

Data Scientists

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

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