4689 Extract Jobs - Page 45

Position Summary This position shall be responsible for developing the software for Embedded system, both front and back end. Work You’ll Do Develop software for the embedded system & integrate the IoT Edge device with machine controls to capture data over different protocols. Monitor and optimize the performance of IoT systems to ensure high reliability and efficiency. Identify and address potential issues related to system performance and data accuracy. Collect, preprocess and analyse large volumes of IoT data from various sources/equipment, maintaining data accuracy & security Using statistical methods and data mining techniques extract meaningful patterns and insights. Create algorithms and models using IoT data that can forecast trends, detect anomalies, and predict failures Coordinate with customers (internal & external) to troubleshoot any problem with IoT system and provide solution as well as take actions for horizontal deployment wherever required. Provide training to customers and address their requirement/queries. Work closely with cross-functional team such as machine design engineers, software developers, data scientists to understand & develop the solutions based on inputs and ensure that it meets the requirement Team This position will be a part of the IoT solution development team based at Ahmedabad Basic Qualifications Bachelor’s degree in EC/ IC /Computer/ IT with 2-3 years of experience in IoT solution development. Experience in front & back end software, various data analysis tools & database management is necessary. Who We Are Milacron is a global leader in the manufacture, distribution and service of highly engineered and customized systems within the $27 billion plastic technology and processing industry. We are the only global company with a full-line product portfolio that includes hot runner systems, injection molding, extrusion equipment. We maintain strong market positions across these products, as well as leading positions in process control systems, mold bases and components, maintenance, repair and operating (“MRO”) supplies for plastic processing equipment. Our strategy is to deliver highly customized equipment, components and service to our customers throughout the lifecycle of their plastic processing technology systems. EEO: The policy of Milacron is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. We are committed to being an Equal Employment Opportunity (EEO) Employer and offer opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at recruitingaccommodations@milacron.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

📊 Data Analyst Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is an edtech startup focused on delivering industry-aligned, project-based virtual internships . Our Data Analyst Internship is designed to equip students and recent graduates with the analytical skills and practical tools needed to work with real-world data and support business decisions. 🚀 Internship Overview As a Data Analyst Intern , you will work on live projects involving data collection, cleaning, analysis, and visualization . You will gain hands-on experience using tools like Excel, SQL, Python , and Power BI/Tableau to extract insights and create impactful reports. 🔧 Key Responsibilities Gather, clean, and organize raw data from multiple sources Perform exploratory data analysis (EDA) to uncover patterns and trends Write efficient SQL queries to retrieve and manipulate data Create interactive dashboards and visual reports using Power BI or Tableau Use Python (Pandas, NumPy, Matplotlib) for data processing and analysis Present findings and recommendations through reports and presentations Collaborate with mentors and cross-functional teams on assigned projects ✅ Qualifications Pursuing or recently completed a degree in Data Science, Computer Science, IT, Statistics, Economics , or a related field Basic knowledge of Excel, SQL , and Python Understanding of data visualization and reporting concepts Strong analytical and problem-solving skills Detail-oriented, with good communication and documentation abilities Eagerness to learn and apply analytical techniques to real business problems 🎓 What You’ll Gain Practical experience in data analysis, reporting, and business intelligence Exposure to industry tools and real-life data scenarios A portfolio of dashboards and reports to showcase in interviews Internship Certificate upon successful completion Letter of Recommendation for top performers Opportunity for a Full-Time Offer based on performance Show more Show less

Designation : Lab Technician Location : 175, Nsk salai (opp. to vadapalani depo), Vadapalani, Chennai. Salary : Rs. 12,000 for fresher and negotiable as per the experience. Roles and responsibilities : Creation and Maintenance of Lab Bills. Collect sample from patients. Process the samples by taking necessary tests and extract the results. Create a report containing the results arrived from the tests taken. Candidate Requirements : Dmlt/ B.sc mlt or any equivalent course. Good knowledge/experience in handling lab equipments. Basic computer knowledge. Fluency in Tamil and English. Both Fresher and experienced can apply. Contact Details : Phone no: 9962577180 Email-id: svijayaraghavan0204@gmail.com Job Types: Full-time, Permanent Pay: From ₹12,000.00 per month Benefits: Provident Fund Schedule: Day shift Morning shift Ability to commute/relocate: Vadapalani, Chennai, Tamil Nadu: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred) Education: Diploma (Preferred) Experience: total work: 1 year (Preferred) Language: Tamil, english. (Preferred) Work Location: In person

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

About us Performance Launchpad is a full-service Performance Marketing and Brand Advertising agency with a presence in Singapore and India. We specialize in elevating brands through customer acquisition strategies tailored to each client's goals. Our dynamic, transparent, comprehensive solutions help brands navigate the ever-evolving digital landscape. Your Role As an Executive – Business Development, you’ll be the bridge between our clients and internal teams. Your mission? Drive campaign success, ensure client satisfaction, and grow revenue opportunities. Key Responsibilities  Account Management: Handle day-to-day communication, address client needs, and deliver outstanding service.  Campaign Execution: Collaborate with internal teams to set up, launch, and optimize affiliate marketing campaigns.  Performance Analytics: Analyze campaign metrics and deliver actionable insights to maximize ROI.  Client Reporting: Share regular, transparent updates on campaign progress and results.  Relationship Building: Build lasting client relationships focused on long-term success.  Problem Solving: Proactively tackle challenges and find effective solutions.  Upselling Opportunities: Identify areas for growth, suggest relevant services, and support revenue expansion. What We’re Looking For  Experience: 0–6 months in client servicing, account management, or a related affiliate/performance marketing role.  Industry Knowledge: Basic understanding of affiliate marketing, tracking tools, and campaign strategies.  Analytical Mindset: Ability to interpret data and extract key insights.  Client-First Attitude: Strong multitasking, time management, and relationship skills.  Communication: Clear, concise, and confident in both written and verbal communication.  Problem Solver: A go-getter with critical thinking abilities and a proactive approach. Preferred Qualifications  Prior experience with digital marketing agencies or affiliate networks.  Awareness of digital advertising trends and tools.  Comfortable in a fast-paced, goal-oriented environment. What You’ll Get  💰 Competitive salary + performance incentives  🌟 Exposure to top brands and marketing campaigns  📈 Career growth in a dynamic, digital-first agency  🧠🤝🧠 Collaborative team environment Ready to Launch Your Career with Us? Apply now and be part of a team that’s redefining digital performance marketing. Show more Show less

Key Responsibilities: Develop and execute credit risk strategies for consumer lending products such as Consumer durables or credit cards. Define and optimize credit approval and credit limit assignment policies. Monitor and ensure adherence to vintage risk levels within the company’s risk appetite. Leverage alternative data sources, including credit bureau, SDK, telecom, and geo-data, to enhance underwriting strategies. Design, implement, and refine application scorecards for effective risk assessment. Extract, analyze, and visualize data to support data-driven decision-making across the organization. Identify key risk drivers and monitor trends to mitigate potential risks proactively. Collaborate with risk systems teams to implement underwriting changes seamlessly. Prepare, document, and communicate policy updates effectively to relevant stakeholders. Required Skills & Experience: Proven experience in credit risk management within the consumer lending industry. Proficiency in SQL, Excel, and Tableau for data analysis, reporting, and visualization. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

SEO/SEM Specialist – Role Description We are seeking an experienced and highly skilled SEO/SEM Specialist (L3/L4) with a proven track record of driving impactful search engine marketing and optimization strategies. The ideal candidate will not only manage SEO activities but also oversee the full SEM strategy and execution. This role requires expertise in optimizing performance across all major search networks while also guiding junior team members and collaborating with senior leadership to meet overarching business objectives. As an SEO/SEM leader, you will be responsible for the strategy, execution, and optimization of SEO and SEM initiatives that drive business growth and maximize ROI. Key Responsibilities: • Strategic Leadership: Develop, implement, and oversee comprehensive SEO and SEM strategies to meet business goals, ensuring alignment with overall marketing and growth strategies. • Team Leadership: Lead, mentor, and develop junior SEO/SEM staff. Foster a collaborative team environment to drive continuous learning and optimization best practices. • Advanced Data Analysis: Utilize advanced analytics tools to analyze large datasets and extract insights that shape SEO/SEM strategy, ensuring optimal ROI across campaigns. • Campaign Management: Oversee all SEM campaigns, ensuring performance targets are met, while staying on budget. Manage PPC campaigns across Google, Yahoo, Bing, and social media platforms (LinkedIn, Twitter, Facebook, etc.). • SEO Performance Oversight: Oversee ongoing keyword research, on-page optimization, and link building strategies. Conduct competitor analysis and stay ahead of SEO trends and algorithm updates. • Cross-Department Collaboration: Work with product, content, and development teams to ensure SEO best practices are incorporated into website development and content creation. • Lead Optimization: Lead conversion optimization strategies, using advanced techniques to drive website traffic and improve conversion rates. • Reporting & Strategy Refinement: Report on SEO/SEM performance at a high level to senior leadership, advising on key strategy adjustments and improvements. • Guest Blogging & Partnerships: Manage and scale guest blogging efforts and other external content partnerships, ensuring sustained improvements in domain authority and off-page SEO. • Innovation & Trends: Stay at the forefront of industry trends, continuously evaluating new SEO/SEM tools, techniques, and tactics that align with company goals. Must-Have Requirements: • Proven Experience: 5+ years of SEO/SEM experience, including extensive hands-on experience in developing and executing complex SEO and SEM strategies that deliver measurable results. • Advanced Tools Expertise: In-depth knowledge of SEO/SEM tools including Ahrefs, SEMRush, Ubersuggest, Keyword Planner, SEO Audit Tools, Google Analytics, Google Tag Manager, Hotjar, and similar platforms. • Strategic Thinker: Proven ability to design long-term SEO/SEM strategies, measure their success, and continuously optimize for performance. • Leadership Experience: Experience leading and mentoring SEO/SEM teams, with the ability to collaborate with senior management and across departments. • SEO & SEM Expertise: Proven success with both organic and paid search campaigns, including SEM platforms (Google, Bing, Yahoo), social media advertising (LinkedIn, Twitter, Instagram), and retargeting strategies. • In-depth Analytics Skills: Strong ability to analyze data using Google Analytics, Omniture, NetInsight, WebTrends, and similar tools. Comfortable with advanced reporting and presenting insights to senior stakeholders. • Advanced A/B Testing: Extensive experience conducting A/B and multivariate testing to optimize user engagement, conversions, and SEM ROI. • Content Strategy: Deep understanding of SEO content creation and optimization, including advanced knowledge of Wikipedia article creation and optimization. • Technical Knowledge: Solid understanding of web technologies (HTML, CSS, JavaScript) and the ability to work with development teams to implement SEO best practices. • SEO & SEM Certifications: BS/BCom/MCom/BE/MSc degree with Digital Marketing or relevant certifications. • Up-to-date Industry Knowledge: Proven ability to stay ahead of SEO and SEM industry trends, Google updates, and algorithm changes. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

BIM Engineer (Mechanical) Job Code : BIMMECH-01 Location : Thiruvananthapuram, Kerala Salary : ₹25,000 – ₹50,000 per month (Negotiable) About Us Luke Infras Pvt. Ltd. is a leader in the Architecture, Engineering, and Construction (AEC) sector, specializing in delivering innovative solutions for residential, commercial, hospital, retail, and educational projects. We pride ourselves on fostering a collaborative and forward-thinking environment that drives quality and excellence. Job Overview We are looking for BIM Engineers in the Mechanical discipline to join our team in Thiruvananthapuram. This role is ideal for individuals with 1–3 years of experience , but freshers with strong technical skills and a passion for BIM are also encouraged to apply. Job Responsibilities As a BIM Engineer, you will play a critical role in our construction projects, ensuring high-quality delivery through the following responsibilities: Develop and detail BIM models in compliance with LOD 300–500 standards. Perform interdisciplinary BIM model coordination and prepare RFI (Request for Information) documentation. Review IFC drawings and create BIM models ready for site execution as per industry standards. Conduct clash detection and visual walkthroughs using Autodesk Navisworks Manage. Audit and review models in Autodesk Revit, Navisworks, and BIM 360 Collaborate Pro. Identify and resolve constructability issues during the model coordination phase. Extract 2D layouts and verify quantities from approved BIM models. Create 4D scheduling and simulation using Autodesk Navisworks. Qualifications and Skills Experience : 1–3 years of professional experience in BIM modeling and coordination (preferred). Freshers with exceptional skills and understanding of BIM workflows are welcome to apply. Education : Bachelor’s Degree or Diploma in Mechanical Engineering. Technical Skills : Proficiency in Autodesk Revit, Navisworks, BIM 360, and AutoCAD. Familiarity with LOD standards, construction processes, and BIM model coordination. Experience with Primavera P6 or MS Project is a plus. Personal Attributes : Strong problem-solving and organizational skills. Excellent interpersonal and communication abilities. Job Details Job Code : BIMMECH-01 Job Type : Full-time Work Schedule : Day shift Location : Thiruvananthapuram, Kerala (Work in person) How to Apply If you are passionate about BIM and ready to work in a fast-paced, innovative environment, we would love to hear from you! To Apply : Mention the Job Code (BIMMECH-01) in the subject line of your email application. Send your resume to hr@lukeinfras.com or visit our website: https://lukeinfras.com/careers/ Job Type: Full-time Pay: ₹25,000.00 - ₹50,000.00 per month Schedule: Day shift Education: Diploma (Preferred) Work Location: In person

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Position : Data Scientist Location: Trivandrum (Remote or Hybrid ) Type: Full-time Start Date: Immediate Company : Turilytix.ai About the Role : Join us as a Data Scientist and work on challenging ML problems across paper manufacturing , retail, food, and IT infrastructure. Use real-world data to drive predictive intelligence with BIG-AI . Responsibilities : • Clean, engineer, and model sensor & telemetry data • Build ML models for prediction and classification • Develop explainability using SHAP, LIME • Collaborate with product/engineering to operationalize models Required Skills : • Python, Pandas, Scikit-learn • Time-series & anomaly detection • SHAP / LIME / interpretable ML • SQL, Jupyter Notebooks • Bonus: DVC, Git, Airflow Why Work With Us : • Hands-on with real-world sensor data • No red tape just impact • Remote work and global deployment • Drive AI adoption without complexity Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business impSQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, powerBI) Email your resume/GitHub: hr@turilytix.ai Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—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’s why we’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’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’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Position Details Total Years of Experience: 2-9 Years Primary Technologies: SQL, Power BI, Excel, Python, Addnl: Azure Synapse, Databricks, Spark, Warehouse Architecture & Development The Business Intelligence (BI) Engineer is responsible for assisting the specified Human Resource team in the continuous management of all relevant analytics. This position will collect and analyze the data to measure the impact of initiatives to support strategic business decision making. This position is responsible for working with developers to provide the business at all levels with relevant, intuitive, insight-driven information that is directly actionable. The Business Intelligence Engineer will become closely integrated with business and build a strong relationship with business leaders. This position will work with multi-national teams in an Agile framework and design and implement actionable reports and dashboards, assisting in designing the broader information landscape available to the business. Primary Job Functions Collaborate directly with the business teams to understand performance drivers and trends in their area, provide insights, make recommendations and interpret new data and results. Design reports and dashboards for consumption by the business; oversee the development for production. Perform pro forma modeling and ad hoc analyses. Keep up to date on the best visualization practices and dashboard designs. Maintain standardized templates for reports and dashboards. Ensure standardization and consistency of reporting. Perform deep dive analyses into specific issues as needed. Define data needs and sources; evaluate data quality and work with data services team to extract, transform and load data for analytic discovery projects. Ensure BI tools are fully leveraged to provide the insights needed to drive performance. Interface closely with technology partners to manage analytical environment and acquire data sets. Utilize statistical and data visualization packages to develop innovative approaches to complex business problems. Analyze and communicate the effectiveness of new initiatives; draw insights and make performance improvement recommendations based upon the data sources. Use quantitative and qualitative methodologies to draw insights and support the continuous improvement of the business. Analyze initiatives and events utilizing transaction-level data. Ensure that appropriate data-driven reports and customer behavior insight continuously flow to management to help improve quality, reduce cost, enhance the guest experience, and deliver continued growth. Required Qualifications Proficient in working in Microsoft Azure services and/or other cloud computing environment Experience with Database Management Systems (DBMS), specifically SQL and NoSQL. Knowledge of an enterprise data visualization platform, such as Power BI, Big Query Advanced analytical and problem-solving skills Strong applied Algebraic skills Working knowledge of business statistical application and econometrics Project management skills Ability to digest business problems and translate needs into a data-centric context Ability to synthesize and analyze large sets of data to yield actionable findings Strong attention to detail Excellent verbal and written communication skills Handle multiple projects simultaneously within established time constraints Perform under strong demands in a fast-paced environment Work professionally with customers and co-workers to efficiently serve our customers, treating both with enthusiasm and respect If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing. "DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC “The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. We are seeking a highly skilled Director of Software Engineering to lead the Infinia Storage engineering team in the development of cutting-edge Quality Engineering (QE) tools, strategies, and infrastructure. This leadership position will be responsible for driving strategic initiatives in test automation, software engineering, and the overall quality and performance of storage subsystems. You will lead a talented engineering team, collaborate across functional teams, and work on building innovative solutions that will directly impact the quality and efficiency of product development and delivery. As a core leader in QE, you will bring both leadership and advanced technical skills to lead complex engineering efforts, expedite testing cycles, and improve the overall product quality, with a focus on automation and scalable test infrastructures. The Director will play a key role in influencing and shaping the future direction of our engineering practices, as well as ensuring that high standards of quality are maintained throughout the development lifecycle. Key Responsibilities: Strategic Leadership and Vision: Develop and execute a comprehensive strategy for Infinia’s Engineering Quality and Development processes, driving innovation and improvements across the organization. Lead strategic discussions for the design, development, and deployment of test automation tools and infrastructure that support storage subsystems testing in a highly scalable, reliable, and efficient manner. Collaborate with senior leadership across engineering, product, and quality teams to define long-term goals, priorities, and strategic initiatives that drive impactful results for the business. Team Leadership and Development: Lead and inspire a high-performing, results-driven team of software engineers focused on test automation and quality infrastructure. Encourage innovation, accountability, and growth within the team. Empower engineers to take ownership of their work and provide the guidance necessary to accomplish their objectives while balancing team priorities. Define and implement team development plans, helping to advance the careers of your engineers through mentorship, periodic check-ins, and setting long-term growth objectives. Cross-Functional Collaboration: Forge strong relationships with leaders across functional teams, including Quality Engineering, Product Development, and Operations, to ensure alignment on objectives, priorities, and deliverables. Lead collaborative efforts across multi-site, multicultural engineering teams, driving timely and high-quality results through clear communication and effective problem-solving. Test Automation and Architecture: Design and implement scalable test automation strategies that ensure flexibility, reusability, and efficiency across multiple storage platforms. Work closely with Test Architects and Engineering leaders to develop robust test strategies, plans, and test cases, leveraging automated testing to accelerate development cycles. Drive the continued evolution and optimization of test automation architecture, ensuring that it meets current and future engineering needs. Continuous Improvement and Agile Execution: Champion iterative and agile engineering methodologies to ensure the team’s output aligns with organizational goals and deliverables. Lead continuous improvement initiatives to enhance the efficiency of testing processes, reduce testing cycle time, and increase overall product quality. Establish metrics for tracking the success and impact of test automation, providing data-driven insights to leadership on key performance indicators. Global Coordination and Impact: Coordinate with engineering teams globally to align testing efforts and share best practices. Proactively identify and address challenges in the testing and automation process, ensuring that any blockers or obstacles are resolved promptly to maintain project timelines. Qualifications: BS/MS/Ph.D. in Computer Science, Computer Engineering, Mathematics, Statistics, or related technical field. 15+ years of experience in software development or software development for test, with a deep focus on distributed systems, data storage, or cloud computing. 8+ years of experience leading and managing a team of engineers in a software or test engineering capacity, with a strong track record of delivering results. Significant experience with QE methodologies, functional and structural testing techniques (Agile methodologies preferred). Expertise in Python or related high-level languages, as well as experience with automation frameworks like pytest, bash, and Ansible (experience with Ansible is a plus). Technical Skills: Strong understanding of distributed systems and storage architectures (parallel file systems, object storage, NVM, and key-value storage systems). Solid understanding of test automation design and implementation, including test strategy development, architecture, and best practices. Ability to read and understand coding languages and logic, including C++ and GoLang, and experience with high-level programming languages. Hands-on experience in high-performance computing system installation and management. Leadership and Soft Skills: Exceptional leadership and management skills with a demonstrated ability to inspire, motivate, and guide teams to high performance. Strong verbal and written communication skills, with the ability to effectively present and discuss complex ideas with both technical and non-technical audiences. Collaborative, team-oriented mindset with the ability to build relationships and create win-win solutions across cross-functional teams. Self-motivated, results-driven, and able to thrive in a fast-paced, dynamic environment with evolving responsibilities. Preferred Experience: Knowledge of Lustre, GPFS, or other parallel file system solutions. Familiarity with the installation, management, and optimization of high-performance computing systems. Experience in working with distributed key-value stores and NVM storage technologies. This position requires participation in an on-call rotation to provide after-hours support as needed. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—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’s why we’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’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’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Title: Data Engineer Location: Baner, Pune (Hybrid) 6 to 12 Months contract Responsibilities: Design, develop, and execute robust scalable data pipelines to extract, transform, and load data from on-premises SQL Server databases to GCP Cloud SQL PostgreSQL. Analyze existing SQL Server schemas, data types, and stored procedures, and plan for their conversion and optimization for the PostgreSQL environment. Implement and support data migration strategies from on-premise or legacy systems to cloud environments, primarily GCP. Implement rigorous data validation and quality checks before, during, and after migration to ensure data integrity and consistency. Collaborate closely with Database Administrators, application developers, and business analysts to understand source data structures and target requirements. Develop and maintain scripts (primarily Python or Java) for automating migration tasks, data validation, and post-migration data reconciliation. Identify and resolve data discrepancies, performance bottlenecks, and technical challenges encountered during the migration process. Document migration strategies, data mapping, transformation rules, and post-migration validation procedures. Support cutover activities and ensure minimal downtime during the transition phase. Apply data governance, security, and privacy standards across data assets in the cloud. Refactor SQL Server stored procedures and business logic for implementation in PostgreSQL or application layer where applicable. Leverage schema conversion tools (e.g., pgLoader, custom scripts) to automate and validate schema translation from SQL Server to PostgreSQL. Develop automated data validation and reconciliation scripts to ensure row-level parity and business logic integrity post-migration. Implement robust monitoring, logging, and alerting mechanisms to ensure pipeline reliability and quick failure resolution using GCP-native tools (e.g., Stackdriver/Cloud Monitoring). Must-Have Skills: Expert-level SQL proficiency across T-SQL (SQL Server) and PostgreSQL with strong hands-on experience in data transformation, query optimization, and relational database design. Solid understanding and hands-on experience working with Relational Databases. Strong experience in data engineering, with hands-on work on cloud, preferrably GCP. Experience with data migration techniques and strategies between different relational database platforms. Hands-on experience on any Cloud Data and Monitoring services such as Relational Database services, Data Pipeline services, Logging and monitoring services, - with one of the cloud providers - GCP, AWS or Azure. Experience with Python or Java for building and managing data pipelines with proficiency in data manipulation, scripting, and automation of data processes. Familiarity with ETL/ELT processes and orchestration tools like Cloud Composer (Airflow). Understanding of data modeling and schema design. Strong analytical and problem-solving skills, with a keen eye for data quality and integrity Experience with version control systems like Git. Good-to-Have Skills Exposure to database migration tools or services (e.g., AWS DMS, GCP Database Migration Service, or similar). Experience with real-time data processing using Pub/Sub. Experience with shell scripting. Exposure to CI/CD pipelines for deploying and maintaining data workflows. Familiarity with NoSQL databases and other GCP data services (e.g., Firestore, Bigtable). Show more Show less

Report Specialist about Randstad Randstad is the world’s largest talent company and a partner of choice to clients. We are committed to providing equitable opportunities to people from all backgrounds and help them remain relevant in the rapidly changing world of work. We have a deep understanding of the labor market and help our clients to create the high-quality, diverse, and agile workforces they need to succeed. Our 46,000 employees around the world make a positive impact on society by helping people to realize their true potential throughout their working life. about Randstad Global Capability Center: Randstad Global Capability Center, located in Hyderabad, India, is responsible for strategic delivery for Randstad markets and businesses globally. Through our centers of excellence of talent services, human resources, financial knowledge services, IT, and marketing, the Global Capability Center is a high growth Randstad is seeking a highly analytical and detail-oriented Reporting Specialist to join our dynamic team. If you have a passion for data, a knack for uncovering insights, and a desire to make a real impact on a global scale, this role is for you! Responsibilities create market reports: develop comprehensive market reports based in given templates for the different programs that Randstad is running for the different countries to report the performance, KPI’s achievement and trends. conduct global team and leadership reports: collect data related to the performance and engagement of Randstad's global programs to feed the global team with relevant data, identifying key trends, areas for improvement, and opportunities for growth. Collect and gather the data to support the preparation of insightful reports for Randstad's leadership team. data visualization and storytelling: present data in a clear and compelling way through presentations data collection and analysis: gather data from various sources such as Google Analytics, Hubspot, Big Query and other relevant platforms to extract and analyze data. collaboration and communication: collaborate effectively with various teams across Randstad's global. Qualifications bachelor's degree in Business Administration, Economics, Statistics, or a related field. proven experience as a reporting specialist, data analyst, or similar role. strong analytical and critical thinking skills. minimum 3 years of proven experience. meticulous attention to detail and accuracy. advanced proficiency in data analysis tools and techniques. experience with Google Analytics, Hubspot, BigQuery and other data extraction tools. excellent communication and presentation skills. ability to translate complex data into actionable insights. ability to work independently and as part of a team. preference for experience working in a multinational environment. Benefits competitive salary and benefits package. be part of a multicultural and collaborative team. enjoy a healthy work-life balance. chance to make a real impact on a global leader in the HR services industry work with a company committed to making a positive impact on society. Shift Hours 11 AM to 8 PM IST Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—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’s why we’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’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’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Senior AI/ML Engineer Experience: 5+ years Mode of Engagement: Full-time / Part-time No of Positions: 2 Educational Qualification: B.E./B.Tech/M.E./M.Tech in Computer Science, AI/ML, or related field Industry: IT – AI/ML Services Notice Period: Immediate or 15 days preferred What We Are Looking For: Experience in Chatbot agents, agents which can read data and detect issues/risk/modify data as per input and document data extraction - accurately extract required data from pdf even input pdf is inconsistent Strong experience (5+ years) in backend development using Python (preferred), Java, or Node.js. 2+ years of hands-on experience building LLM-powered applications and LLM agents. Expertise in AI/ML system architecture including Model Context Protocol (MCP) and agent-based reasoning. Proven track record with Docker, Kubernetes, and cloud-based deployment of ML models. Strong collaboration, communication, and problem-solving abilities. Responsibilities: Design, develop, and deploy LLM-based applications and intelligent agent systems. Architect MCP systems to orchestrate interactions between LLMs, APIs, and databases. Containerize AI/ML models and manage deployments using Docker and Kubernetes. Develop and maintain scalable backend systems and data integration. Collaborate with cross-functional teams on technical specifications and product goals. Stay up to date with advancements in LLMs, planning frameworks, and agent tools. Troubleshoot AI models or deployment issues and ensure high availability of systems. Mentor junior engineers and contribute to team-wide knowledge-sharing. Qualifications: Bachelor’s or master's in computer science or relevant technical discipline. 5+ years in backend software development; 2+ years in LLM technologies. Experience with agent-based frameworks like LangChain, LlamaIndex, or AutoGen. Solid foundation in container orchestration and CI/CD using Docker & Kubernetes. Familiarity with MLOps tools like MLflow, Kubeflow, or Seldon Core is a plus. Cloud experience (AWS/GCP/Azure) preferred; Git proficiency required. Added advantages: publications, open-source contributions, or fine-tuning LLMs. Show more Show less

🎯 Now Hiring: SAP Cutover/Data Migration Consultant 📍 Kochi | Chennai | Pune | 💼 5+ Years Experience | 🕒 Full-time 🚀 Are you the go-live hero we’ve been searching for? When systems switch and data shifts, you bring calm to the chaos. We need a cutover commander and migration master who can lead complex SAP projects from pre-planning to go-live — seamlessly. 🔧 What You’ll Own 🗂️ Cutover Strategy & Execution Plan like a pro. Align teams. Lead go-lives with confidence and minimal disruption. 📊 Data Migration Leadership Own the end-to-end: extract → transform → validate → load. Tools of the trade: LSMW, BODS, Migration Cockpit . 🧪 Testing & Validation Mock migrations, reconciliations, root cause analysis — it’s all in your playbook. 📘 Rock-Solid Documentation Clear plans, clean logs, smooth reporting. 🤝 Cross-Functional Collaboration Work closely with business, tech, and project leads to ensure nothing falls through the cracks. 🧠 What You Bring ✅ 5+ years of SAP cutover & data migration experience ✅ Strong command of SAP SD, MM, FICO modules ✅ Proficiency with LSMW, BODS, Migration Cockpit ✅ Experience with S/4HANA (bonus points!) ✅ Stellar communication and project coordination skills 📜 Bonus Points For 🌟 SAP Certified Application Associate – Data Migration 🌟 SAP Activate Project Manager Certification 💬 Own the cutover. Drive the go-live. Lead with confidence. If this sounds like your kind of challenge, let’s connect. 📩 Apply now m.neethu@ssconsult.in #SAPJobs #CutoverConsultant #DataMigration #S4HANA #NowHiring #TechCareers #MigrationExpert #GoLiveChampion Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—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’s why we’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’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’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less