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Oracle

<div>
 
 AI Applications Engineer
 
 
 
 
 
 Interview Location- Pune
 
 
 
 
 
 Job Location- Hyderabad/Bangalore/Pune/Noida
 
 
 
 
 
 Join Oracle Applications Labs, where we design, build, and operate Oracle&rsquo;s mission-critical AI-based enterprise applications&mdash;including systems that automate our AI cloud data centers. Our mission is to showcase Oracle&rsquo;s AI-driven products and technologies, deploying them internally to support Oracle&rsquo;s growth as a global AI leader.
 
 
 As part of our global team of data scientists, AI engineers, program managers, and scrum masters, you&rsquo;ll contribute to transforming Oracle into an industry leader in AI.
 
 
 
 
 
 
 Essential Skills
 
 
 <ul>
 <li>
 Proficiency in programming languages relevant to AI (e.g., Python, Java).
 </li>
 <li>
 Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
 </li>
 <li>
 Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
 </li>
 </ul>
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
 </li>
 <li>
 At least 1 year of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered).
 </li>
 <li>
 Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline.
 </li>
 <li>
 Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling.
 </li>
 <li>
 Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
 </li>
 <li>
 Experience in developing and deploying enterprise-grade AI solutions.
 </li>
 <li>
 Familiarity with DevOps practices and tools for CI/CD.
 </li>
 </ul>
 
 
</div>

AI/ML Engineer

Uplers

<div>
 
 
 Experience:
 
 3 to 7 Years Exp
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Onsite (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 (*Note: This is a requirement for one of Uplers' Clients--Newton School)
 
 
 
 
 
 
 
 Must have skills:
 
 AI/ML
 
 and
 
 Deep Learning
 
 and
 
 LLMs
 
 OR
 
 NLP
 
 OR
 
 Transformers
 
 OR
 
 Statistical Modelling
 
 OR
 
 Agentic AI
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
 </li>
 <li>
 Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
 </li>
 <li>
 Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
 </li>
 <li>
 Guide &amp; Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
 </li>
 <li>
 Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
 </li>
 <li>
 Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
 </li>
 <li>
 Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
 </li>
 <li>
 3-7 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
 </li>
 <li>
 Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
 </li>
 <li>
 Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical &amp; deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
 </li>
 <li>
 Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Technical: Expert-level Python programming.
 </li>
 <li>
 Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL and data handling skills.
 </li>
 <li>
 Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
 </li>
 <li>
 Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 Strong communication, mentoring ability, collaboration, and a genuine passion for education.
 
 
 
 
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Prior teaching experience at the undergraduate or graduate level.
 </li>
 <li>
 Familiarity with modern teaching methodologies and academic tools.
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Infosys

<div>
 
 
 Roles &amp; Responsibilities:
 
 
 
 &bull; Implement Generative AI based solutions using Infosys and Industry standard tools and platforms
 
 
 &bull; Implement prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results.
 
 
 &bull; Perform AI assurance to test AI infused applications
 
 
 &bull; Work closely with cross-functional teams to ensure prompts align with company objectives and user experience.
 
 
 &bull; Identify and report bugs, performance bottlenecks, and safety issues.
 
 
 &bull; Stay up to date with the latest advancements in Generative AI and testing methodologies.
 
 
 &bull; Identify and report bugs, performance bottlenecks, and safety issues.
 
 
 
 
 
 
 Must Have skills:
 
 
 
 &bull; Development expertise in Python.
 
 
 &bull; Demonstrate very good knowledge of Generative AI concepts such as Lang chain, RAG, Agentic AI Frameworks etc.
 
 
 &bull; Fair knowledge of API Testing &amp; Azure Cloud Ecosystem.
 
 
 
 
 
 
 Good To Have skills:
 
 
 
 &bull;Knowledge of Traditional AI/ML Models.
 
 
 &bull;Knowledge of Data Analysis/Data Pre-processing
 
 
 
 
 
 
 Experience:
 
 3-8 years
 
 
 
 
 
 
 Location:
 
 Pune/Hyderabad
 
 
 
 
 
 
 NP:
 
 0-60 days (Immediate joiners preferred)
 
 
 
 
</div>

Consultant

<div>
 Design, develop, and deploy AI/NLP solutions to solve diverse business challenges&mdash;particularly in areas like text classification, information extraction, summarization, and semantic search Conduct exploratory data analysis and feature engineering Contribute to the development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLMs, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Exeperience of development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Qualifications: 3&ndash;6 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus
</div>

Assistant Manager

nCircle Tech Careers

<div>
 
 About Us
 
 
 
 nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize.
 
 
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</div>

React.js Developer

<div>
 
 Job Description
 
 
 
 Join Oracle Applications Labs, where we design, build, and operate Oracle&rsquo;s mission-critical AI-based enterprise applications&mdash;including systems that automate our AI cloud data centers. Our mission is to showcase Oracle&rsquo;s AI-driven products and technologies, deploying them internally to support Oracle&rsquo;s growth as a global AI leader.
 
 
 As part of our Cloud Integration Team of data scientists, AI engineers, program managers, and scrum masters, you&rsquo;ll contribute to transforming Oracle into an industry leader in AI. Our integration team collaborates closely across functions to seamlessly connect enterprise platforms, deliver scalable solutions, and ensure the reliable flow of data throughout Oracle&rsquo;s AI ecosystem.
 
 
 Career Level - IC3
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation [RAG], Managed Cloud Platform [MCP], Large Language Models).
 </li>
 <li>
 Apply classical AI techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending.
 </li>
 <li>
 Participate in system planning, scheduling, and implementation for enterprise-scale AI applications.
 </li>
 <li>
 Build new product features and/or enhance existing features to automate complex business flows and operations.
 </li>
 <li>
 Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
 </li>
 <li>
 Ensure application scalability, reliability, and performance in a cloud environment.
 </li>
 <li>
 Contribute to best practices for development, testing, and deployment of AI applications.
 </li>
 <li>
 Design, build, and maintain robust integrations between Oracle&rsquo;s enterprise systems, applications, and services to enable seamless data exchange
 </li>
 <li>
 Deliver different integration application using Java Microservices, SOA, ICS etc along with developing Ui using VB Studio, Apex.
 </li>
 <li>
 Proactive Support and maintenance for any SR or bugs - also monitor and resolve those SRs.
 </li>
 <li>
 Monitor, scale and stabilize any application in cloud integration platform.
 
 
 
 </li>
 </ul>
 
 Essential Skills
 
 
 
 <ul>
 <li>
 Proficiency in programming languages relevant to AI (e.g., Python, Java).
 </li>
 <li>
 Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
 </li>
 <li>
 Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
 </li>
 <li>
 Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
 </li>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
 </li>
 <li>
 Ability to work on Java Microservices along with VB Studio for front end development. Knowledge in Integration tolls like SOA, ICS, VBCS and PCS etc will be plus.
 </li>
 <li>
 Working experience in SQL\PLSQL for Oracle Database.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
 </li>
 <li>
 At least 1 year of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered).
 </li>
 <li>
 Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
 </li>
 <li>
 At least 2 years of experience in Java Microservice, Database.Working experience in REST API, SOAP Service, VB Studio.
 
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline.
 </li>
 <li>
 Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling.
 </li>
 <li>
 Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
 </li>
 <li>
 Experience in developing and deploying enterprise-grade AI solutions.
 </li>
 <li>
 Familiarity with DevOps practices and tools for CI/CD.
 </li>
 <li>
 Expertise in Microservices, Oracle SOA Suite, BPEL, OSB, Databse
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

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