software engineer

data engineer

robotics software engineer

associate software engineer

software engineer, data engineer ii Jobs in Pune

software engineer, data engineer ii

machine learning engineer

YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 
 
 
 Experience Required:
 
 6+ Years
 
 
 
 Location:
 
 Indore, Pune, Bangalore, Hyderabad
 
 
 
 
 
 
 We are looking for a Sr. Data Scientist 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:
 
 
 
 
 
 <ul>
 <li>
 Develop and optimize and lead
 
 ML, NLP, Deep Learning, and Generative AI
 
 model/projects.
 </li>
 <li>
 Research and implement state-of-the-art algorithms for supervised and unsupervised learning.
 </li>
 <li>
 Work with large-scale datasets in distributed environments.
 </li>
 <li>
 Understand business processes to select and apply the best ML approaches.
 </li>
 <li>
 Ensure scalability and performance of ML solutions.
 </li>
 <li>
 Collaborate with cross-functional teams, including product owners, designers, and developers.
 </li>
 <li>
 Solve complex data integration and deployment challenges.
 </li>
 <li>
 Communicate results effectively using data visualization.
 </li>
 <li>
 Work in global teams across different time zones.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI.
 
 </li>
 <li>
 Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers.
 
 </li>
 <li>
 Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering.
 
 </li>
 <li>
 Proficiency in
 
 Python
 
 , R, or Scala for ML development.
 </li>
 <li>
 Knowledge of
 
 cloud-based ML platforms (AWS, Azure, GCP).
 
 </li>
 <li>
 Ability to scale ML models from prototypes to production.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 </ul>
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of ML and GenAI, we&rsquo;d love to hear from you!
 
 
</div>

Senior Data Scientist

Keyrus

<div>
 
 
 The Role:&nbsp;
 
 
 
 
 Keyrus is seeking a&nbsp;
 
 
 Senior Data Engineer &amp; Data Scientist
 
 
 to design, build, and optimise cloud-native data platforms in Azure. You will work across modern data architectures, build scalable data solutions, and collaborate with multidisciplinary teams to drive data excellence and platform innovation.
 
 
 
 <ul>
 <li>
 
 Location:
 
 Hybrid &ndash; Pune, India (3 days onsite)
 </li>
 <li>
 
 Target Start:
 
 January 2026
 </li>
 <li>
 
 Compensation:
 
 ₹30,00,000 &ndash; ₹42,00,000 INR
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering
 
 </li>
 <li>
 Design, build, and optimise
 
 cloud-native ingestion, transformation, and enrichment pipelines
 
 using Azure (ADF, Databricks, Synapse).
 </li>
 <li>
 Implement
 
 data joins, validation frameworks, profiling, and quality checks
 
 to ensure analytics-ready datasets.
 </li>
 <li>
 Engineer
 
 scalable feature pipelines
 
 and reusable data products for advanced analytics and ML workloads.
 </li>
 <li>
 Maintain data quality, lineage, and metadata in collaboration with Data Governance teams.
 </li>
 <li>
 Contribute to automated deployment workflows using
 
 DevOps/CI/CD
 
 , GitHub Actions, Terraform, and related tools.
 </li>
 <li>
 
 Data Science
 
 </li>
 <li>
 Perform
 
 end-to-end Exploratory Data Analysis (EDA)
 
 to identify trends, anomalies, and insights.
 </li>
 <li>
 Build, validate, and deploy
 
 machine learning models
 
 (supervised and unsupervised).
 </li>
 <li>
 Develop
 
 feature engineering logic
 
 , model training pipelines, and performance monitoring processes.
 </li>
 <li>
 Work with business and technical stakeholders to define analytical problems and deliver data-driven solutions.
 </li>
 <li>
 Communicate analytical insights and model outcomes to technical and non-technical audiences.
 </li>
 <li>
 
 Analytics &amp; Visualisation
 
 </li>
 <li>
 Build dashboards and analytical visuals using
 
 Power BI, Tableau
 
 , or similar tools.
 </li>
 <li>
 Present data findings and insights in a clear, accessible narrative.
 </li>
 </ul>
 
 
 
 
 
 What we're looking for in our applicants:&nbsp;
 
 
 <ul>
 <li>
 
 10+ years
 
 of hands-on experience in data engineering within enterprise or cloud-native environments.
 </li>
 <li>
 Proven experience building
 
 production-grade data pipelines
 
 on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data engineering, automation, and pipeline development.
 </li>
 <li>
 Deep understanding of
 
 data lake/data warehouse architectures
 
 and modern data platform patterns.
 </li>
 <li>
 Extensive experience with
 
 data migration
 
 , integration of distributed data sources, and handling large-scale datasets.
 </li>
 <li>
 Skilled in
 
 DevOps/CI/CD
 
 , Agile delivery, and automated deployment workflows.
 </li>
 <li>
 Experience collaborating with Data Governance, Cloud Engineering, and Product teams.
 </li>
 <li>
 Previous experience with
 
 Snowflake
 
 is a plus.
 </li>
 <li>
 Excellent communication skills with the ability to articulate complex technical concepts clearly.
 </li>
 </ul>
 
 
 
 
 
 Why Keyrus?
 
 
 
 Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
 
 
 You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
 
 
 Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our&nbsp;clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.&nbsp;
 
 
 
 
</div>

Senior Data Engineer & Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI And DATA - Gen AI - Senior

<div>
 Data Scientist
 
 
 Company:** BP Business Sol (HC)
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our team. In this role, you will leverage data to drive strategic business decisions, identify opportunities for improvement, and contribute to the commercial success of BP Business Sol (HC).
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Apply advanced analytical techniques and statistical modeling to extract meaningful insights from complex datasets.
 </li>
 <li>
 Develop and implement predictive models and machine learning algorithms to solve business challenges.
 </li>
 <li>
 Utilize LLM capabilities to build and solve complex business problems.
 </li>
 <li>
 Develop AI assets using Gen AI and Agentic AI framework. Utilize and maintain the existing assets.
 </li>
 <li>
 Design and create compelling data visualizations and interpretations to effectively communicate findings to diverse stakeholders.
 </li>
 <li>
 Collaborate with various business units to understand their needs and translate them into data-driven solutions.
 </li>
 <li>
 Contribute to the identification and assurance of commercial opportunities and risks.
 </li>
 <li>
 Proactively identify areas for digital automation to improve efficiency and data quality.
 </li>
 <li>
 Support financial reporting and analysis through data-driven insights.
 </li>
 <li>
 Manage and contribute to data-related projects, ensuring timely delivery and successful outcomes.
 </li>
 <li>
 Maintain a strong customer-centric approach, ensuring data solutions address user needs and improve their experience.
 </li>
 <li>
 Engage in continuous learning and application of agility core practices in project execution.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist role, demonstrating strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 Strong expertise in Python programming, Databricks and SQL.
 </li>
 <li>
 Understanding of Microsoft Azure environment and various services.
 </li>
 <li>
 Expertise in Gen AI and Agentic AI frameworks such as Langchain, Langgraph, Llamaindex etc.
 </li>
 <li>
 Proven experience in building Gen AI application.
 </li>
 <li>
 Expertise in data visualization and interpretation, with the ability to convey complex information clearly and concisely.
 </li>
 <li>
 Experience with commercial assurance for external partnerships and projects.
 </li>
 <li>
 Excellent communication and influencing skills, capable of presenting findings to technical and non-technical audiences.
 </li>
 <li>
 Demonstrated creativity and innovation in approaching data challenges and developing novel solutions.
 </li>
 <li>
 Familiarity with Digital Automation tools and techniques.
 </li>
 <li>
 Knowledge of Financial Reporting principles and practices.
 </li>
 <li>
 Experience with Project Management methodologies.
 </li>
 <li>
 Strong understanding and application of Risk Management principles in data-driven projects.
 </li>
 <li>
 Ability to work effectively in an agile environment, demonstrating adaptability and a collaborative spirit.
 </li>
 <li>
 Customer-centric thinking with a focus on delivering value to internal and external stakeholders.
 </li>
 <li>
 Experience in Credit Management is a plus.
 </li>
 </ul>
</div>

Data scientist

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Jabil

<div>
 
 
 Job Description
 
 
 
 
 
 
 Monitor the quality and efficiency performance for assigned manufacturing line(s). Drive continuous improvement through process development, root cause analysis and systematic problem solving; utilize data from CIQ, TARS and other sources as appropriate.
 
 
 
 
 
 
 ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.
 
 
 
 
 
 
 &middot; Continually strive to balance and optimize line throughput, including efforts to minimize changeover downtime (i.e. common set-ups).
 
 
 &middot; Monitor machine management data in order to maximize utilization and minimize machine-generated scrap.
 
 
 &middot; Provide input on creative ways to reduce costs by streamlining processes and systems.
 
 
 &middot; Create and maintain wave and reflow soldering profiles.
 
 
 &middot; Ensure that process parameters are within acceptable tolerances for products and components, and result in solder quality that meets IPC-610B requirements (or other applicable standard).
 
 
 &middot; Design and / or procure production tooling, including stencils, vacuum plates, wave solder pallets and product-specific fixtures and jigs.
 
 
 &middot; Coordinate line reconfigurations and machine move activities, including equipment arrival, positioning and installation, and scheduling of support groups (Machine Support, Facilities, MIS, etc.) using the approved communication process.
 
 
 &middot; Verify that machine maintenance is performed as scheduled on assigned line(s).
 
 
 &middot; Encourage open communication and exchange of information within the M.E. department and between the various support groups.
 
 
 &middot; Adhere to all safety and health rules and regulations associated with this position and as directed by supervisor.
 
 
 &middot; Comply and follow all procedures within the company security policy.
 
 
 
</div>

Manufacturing 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 insights are powered by engineering for business advantage, helping transform mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
 
 
 P osition Summary
 
 
 Level: Consultant or equivalent
 
 
 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:
 
 
 Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise . We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models&mdash;traditional teams, pools, or pods&mdash;are tailored to each client&rsquo;s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
 
 
 
 Qualifications
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 <ul>
 <li>
 3 - 6 years of hands-on experience in Java, J2EE, Springboot , Microservices
 </li>
 <li>
 Should have built scalable, reliable, and secure backend services and APIs using Java and Spring Boot. Should be proficient in well-known AWS services ( e.g. EC2, S3, SQS, SNS, RDS etc.). Should have the ability to suggest the suitable services to be used to achieve a given cloud based functionality.
 </li>
 <li>
 Good understanding of Object-Oriented Programming concepts:
 </li>
 <li>
 Should be able to provide correct definitions of Object-Oriented Programming Concepts and able to differentiate between them.
 </li>
 <li>
 Able to come up with class structure in adherence with object-oriented concepts
 </li>
 <li>
 Able to identify mistakes / deviation from object-oriented principles in a given scenario or piece of code
 </li>
 <li>
 Good theoretical understanding on Java 8+ concepts and hands on experience
 </li>
 <li>
 Well versed with: Exception Handling, Collections Framework, Threads, Streams, Lambdas etc.
 </li>
 <li>
 Ability to write working code for given scenarios in Core Java( Java 8+)
 </li>
 <li>
 Should be able to predict correct output of code snippets
 </li>
 <li>
 Able to write impeccable code for the given scenario, should be able to consider performance and security aspects while writing code and justify the logic he/ she has written
 </li>
 <li>
 Given multiple ways to fix a problem, should be able to select the best one and justify the same
 </li>
 <li>
 Good understanding of Micro Services concepts
 </li>
 <li>
 Develop and maintain RESTful APIs for various applications and services.
 </li>
 <li>
 Familiarity with SOAP services
 </li>
 <li>
 Explain best practices
 </li>
 <li>
 Able to ensure effective inter-service communication and data consistency
 </li>
 <li>
 Given a scenario, should be able to come up with high level design of micro services
 </li>
 <li>
 Good theoretical and hands-on knowledge of Spring framework and Springboot .
 </li>
 <li>
 Able to build simple projects and write working code without handholding.
 </li>
 <li>
 Able to explain important annotations
 </li>
 <li>
 Able to explain design principles in Spring and Springboot
 </li>
 <li>
 Able to explain bean creation process
 </li>
 <li>
 Able to explain transaction management
 </li>
 <li>
 Able to explain database access
 </li>
 <li>
 Extensive experience with Spring Security, Spring Cloud
 </li>
 <li>
 Aware of cross cutting concerns and how to address those using Spring framework .
 </li>
 <li>
 Good understanding of RDBMS and SQL concepts, should be able to understand, troubleshoot and write complex SQL queries
 </li>
 <li>
 Understanding of forms of Normalization. Able to do table design in accordance with standards.
 </li>
 <li>
 Expertise in any of the ORM frameworks( e.g. Hibernate) and JPA.
 </li>
 <li>
 Should be able to write JPA queries
 </li>
 <li>
 Should be able to design entity data model for a given scenario
 </li>
 <li>
 Expertise in transaction management and performance optimization of ORM based code
 </li>
 <li>
 Understanding of NoSQL concepts, familiarity with any of NOSQL databases. Able to explain prominent features of NOSQL databases.
 </li>
 <li>
 Should be able to write Junit test cases and ensure code coverage.
 </li>
 <li>
 Strong in well-known AWS
 </li>
 <li>
 Familiar with deployment in AWS and containerized environments (Docker, Kubernetes)
 </li>
 <li>
 Good grasp of asynchronous communication and its standard implementations
 </li>
 <li>
 Hands-on experience with version control systems like Git. Able to explain version control process and best practices.
 </li>
 <li>
 Expertise in build-tools like MAVEN and Gradle. Able to address issues like vulnerability fixes.
 </li>
 <li>
 Expertise in CI/CD concepts and tools (Jenkins, GitLab CI, GitHub Actions). Should be able to explain the build process and its stages.
 </li>
 <li>
 Able to suggest appropriate design pattern for a given scenario and write code in accordance with it.
 </li>
 <li>
 Good grasp of AI concepts and recent trends :
 </li>
 <li>
 Able to explain concepts related to Natural Language Processing (NLP), Machine Learning, Deep Learning, Computer Vision etc.
 </li>
 <li>
 Able to think about practical project ideas and suggest implementation strategies
 </li>
 <li>
 Should have worked with Agile methodology and aware of best practices:
 </li>
 <li>
 Awareness of core principles, and application in projects
 </li>
 <li>
 Able to compare between traditional models with Agile and justify Agile adaptation
 </li>
 <li>
 Explain important Agile Metrics - velocity, cycle time, burndown charts etc. and usage of the same for process improvement
 </li>
 <li>
 Able to explain Sprint ceremonies and estimation process followed in the current project
 </li>
 <li>
 Should be able to explain the business impact of the project he is currently working on
 </li>
 <li>
 Strong have good communication skills, experienced with direct client interactions
 </li>
 <li>
 For a given scenario, ability to come up with the right questions to be asked to the client to remove ambiguity
 </li>
 <li>
 Usage of right words
 </li>
 <li>
 Should be able to explain the key concepts, challenges and trends in the industry aligned to current project and have understanding of technology disruptors specific to the industry
 </li>
 <li>
 Troubleshooting &amp; Debugging: Identify , diagnose, and resolve bugs and performance bottlenecks within the application with minimal hand-holding . Should be able to provide directionally correct answers to questions based on error scenarios.
 </li>
 <li>
 Experienced with integrating Java applications with external APIs, data sources, and databases using web services (RESTful) and other protocols.
 </li>
 <li>
 Should be a good team player. Able to work closely with other developers, designers, project managers, and cross-functional teams to deliver integrated solutions.
 </li>
 <li>
 Certification:
 </li>
 <li>
 Oracle Certified Associate (Java 8 or above)
 </li>
 <li>
 Oracle Certified Professional (Java 8 or above)
 </li>
 <li>
 AWS Certified Cloud Practitioner
 </li>
 <li>
 AWS Certified Developer &ndash; Associate
 
 
 </li>
 </ul>
 Good to Have Skills/Project Experience/Certifications:
 
 
 <ul>
 <li>
 Hands-on experience in AI &ndash; Basic understanding of concepts related to Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision etc.
 </li>
 <li>
 Awareness / hands-on experience on the following tools/ frameworks
 </li>
 <li>
 Python, TensorFlow and PyTorch , Scikit-learn, NLP Libraries
 </li>
 <li>
 Awareness of recent industry specific events and able to explain their impact on the work that he has been doing
 
 
 </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
 
 
 </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: 300173
</div>

JAVA Fullstack with AWS-Consultant-Hyderabad/Bengaluru/Pune/Chennai

Explore 71+ Machine learning engineer in Pune this December. Find roles across top companies and apply now to boost your career.