AI adoption to boost data, cloud role hiring Full Article Link >>> https://lnkd.in/g8BQsvPK Welcome To Latest IND >> Fastest World News CHENNAI: As companies navigate AI adoption , demand and salary growth for data science , data engineering , DevOps and cloud computing roles are expected to grow faster than other technology roles in FY25 compared to the previous fiscal, according to TeamLease Digital. The tech staffing and […] . . Latest IND . . . . #trendingnews #newstrending #trendingtopicnews #lifestyle #business #news #healthylifestyle #smallbusiness #supportsmallbusiness #lifestyleblogger #luxurylifestyle #businessowner #businesswoman #smallbusinessowner #businessnews
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AI adoption to boost data, cloud role hiring Full Article Link >>> https://lnkd.in/g82c7kMQ Welcome To Latest IND >> Fastest World News CHENNAI: As companies navigate AI adoption , demand and salary growth for data science , data engineering , DevOps and cloud computing roles are expected to grow faster than other technology roles in FY25 compared to the previous fiscal, according to TeamLease Digital. The tech staffing and […] . . Latest IND . . . . #trendingnews #newstrending #trendingtopicnews #lifestyle #business #news #healthylifestyle #smallbusiness #supportsmallbusiness #lifestyleblogger #luxurylifestyle #businessowner #businesswoman #smallbusinessowner #businessnews
AI adoption to boost data, cloud role hiring
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CHENNAI: As firms navigate <!-- -->AI adoption<!-- -->, demand and wage development for <!-- -->knowledge science<!-- -->, <!-- -->knowledge engineering<!-- -->, DevOps and <!-- -->cloud computing<!-- --> roles are anticipated to develop quicker than different know-how roles in FY25 in contrast to the earlier fiscal, in accordance to TeamLease Digital. The tech staffing and options suppliers’ snapshot evaluation exhibits {that a} rise in AI, <!-- -->machine studying<!-- --> (ML), and automation abilities has considerably elevated the demand for data-related roles.While 69% of job postings for knowledge scientists talked about ML abilities in FY24, demand for pure language processing jumped from 5% in 2024 to 19% in 2025, indicating a broad business shift towards AI-driven options, the corporate stated in a be aware. The demand for AI-related roles will enhance 17% within the present fiscal and about 25 per cent in FY26, Neeti Sharma, chief govt of TeamLease Digital, informed TOI. This contains roles resembling <!-- -->knowledge scientist<!-- -->, analyst and engineer, massive knowledge developer, AI/ML engineer, database administrator, devOps, IoT and automation engineer.The migration to cloud infrastructures has elevated hiring in roles associated to cloud engineering, improvement, and structure.
AI adoption to boost knowledge, cloud role hiring
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Job Title: AI/ML Engineer Location: Navi Mumbai Job Description: We are seeking a highly skilled AI/ML Engineer with a strong background in AWS cloud services, data analytics, and machine learning technologies. The ideal candidate will have a minimum of 2 years of experience in developing and deploying AI/ML solutions, with a focus on leveraging cloud infrastructure for scalable and efficient data processing. Key Responsibilities: 1. AI/ML Solution Development: Design, develop, and implement end-to-end AI/ML solutions to solve complex business problems. This includes data preprocessing, model training, evaluation, and deployment. 2. AWS Cloud Services: Utilize AWS cloud services such as EC2, S3, Lambda, and SageMaker to build scalable and reliable AI/ML pipelines. Optimize infrastructure for performance, cost, and security. 3. Data Analytics: Perform exploratory data analysis, feature engineering, and data visualization to gain insights from large datasets. Collaborate with data engineers to ensure data quality and availability for AI/ML models. 4. Model Training and Evaluation: Develop and fine-tune machine learning models using algorithms such as regression, classification, clustering, and deep learning. Evaluate model performance using appropriate metrics and techniques. 5. Model Deployment and Monitoring: Deploy trained models into production environments and integrate them with existing systems. Implement monitoring and logging solutions to track model performance and detect anomalies. 6. Continuous Learning and Innovation: Stay updated with the latest advancements in AI/ML technologies, tools, and techniques. Experiment with new approaches and methodologies to improve the effectiveness of AI/ML solutions. 7. Collaboration and Communication: Work closely with cross-functional teams including data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions that meet business objectives.
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More firms across sectors are expanding their footprint in India — and tech talent is in demand. AI and data science firm Tredence Inc. on Wednesday announced that it will increase its headcount by 60% by mid-2025 and hire 1,500 new employees, Ashutosh Mishra reports for Business Standard. Co-founder and CEO Shub Bhowmick shared on LinkedIn that the company is expanding its footprint with new offices in Pune and Kolkata, and upgrading its facilities in Bengaluru and Chennai. The company will recruit for data science, data engineering, data analytics, MLOps, LLMOps, Gen AI, and marketing analytics, among other roles, adds the report. US-based Glean Technologies Inc has also set up its first office in India and plans to triple its headcount to 450 at its Bengaluru centre, The Economic Times reports, citing founder and CEO Arvind Jain. The firm will hire for roles across software engineering, AI, ML, finance, legal, and marketing, among others. French pharmaceutical company Sanofi plans to invest ₹3,600 crore over the next six years to expand its global capability centre in Hyderabad. It aims to double the centre's headcount to 2,600 employees over the next two years. The company will hire software engineers, data analysts, product engineers, and scrum masters, said Emmanuel Frenehard, Executive Vice-President and Chief Digital Officer. Panasonic Avionics Corporation this week opened its new facility in Pune to develop and deliver in-flight entertainment and connectivity solutions. The company plans to expand its software engineering capabilities. Source: Shub Bhowmick: https://lnkd.in/eXuiNct8 Business Standard: https://lnkd.in/e7cvV9QG The Economic Times: https://lnkd.in/e4zRGeqe https://lnkd.in/etjMMsKa businessline: https://lnkd.in/ePWYNQui ✍ : Isha Chitnis 📸 : Getty Images
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#Hyland #hiring #ML #AI profile Here's the JD 1. https://lnkd.in/g7nAnTpr 2. https://lnkd.in/gUWd9nGM All the best !!!! In the referral section section add myself Amit Sharma as reference , then I can track your application.
Algorithm Engineer 3 in Kolkata, West Bengal | Careers at Kolkata
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70+ Job roles(experienced hires) at Verizon across AI, Data Science and Data Engineering :- - Verizon is planning at hiring 70+ professionals this year for data science, data engineering, ML engineering, and cloud roles across Chennai, Hyderabad, and Bengaluru. - Why Verizon : Fortune 50 company, massive scale, billion dollar revenue impact, market leader in communications space. - Why AI at Verizon: AI is not about building models anymore. It is about how AI and GEN AI models can reach millions of customers that affect billions of dollars in revenue. Industrialisation and scaling while achieving responsible AI is at the core of what are looking to solve. - What else: Recognition by GPW and Economic times as one amongst the Best workplaces in India. Checkout verizon's career page below and dm me relevant job id's you have a match for, if not pls do leave a DM and will post specific openings as they are posted in the department - https://lnkd.in/gXHk2A8V If interested checkout the below article for a detailed Idea of our interview process and culture. - https://lnkd.in/gXWWMKYz #ai #jobalert #aijobs #dataengineeringjobs #mlengineer #hiringtalents #hiringpost #jobpost #aijobsearch
Data Science Hiring Process at Verizon
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Looking for an Entire #AI Project Team in one person! Are you there? So many Vacancies in AI/#GenAI? The demand for AI talent is growing fast, but finding the right candidates can be a challenge. The ideal AI/GenAI candidate is expected to: - Perform ETL (Extract, Transform, Load) processes efficiently - Develop AI/ML models within a cohesive pipeline - Build and maintain an AIops pipeline for model deployment and monitoring - Create both front-end and back-end systems - Dockerize: applications for smooth deployment - Lift and shift: applications to the cloud - Configure cloud services like AWS, Azure, or GCP These are highly specialized skills, and finding someone who checks all these boxes is tough—hence the many openings in AI roles. #AI #GenAI #DataScience #Hiring #AIops #CloudComputing #ML #ETL #DevOps #MachineLearning #AIteam #llm #openings #hiringnow #layoff #business #data
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Dear Connections, Actively looking for below demand!! #chennaiopenings #bangaloreopenings Interested candidates share your updated cv to [email protected] Hiring Position : Machine Learning Engineer Location – Bangalore & Chennai Relevant Experience – 2+ years Mode of work - Hybrid Mode (3 days WFH & 2 days WFO) Mandatory - Development and Deployment Notice Period - Immediate to 30 Days Position Description - Machine Learning Engineer As a Machine Learning Engineer, you are responsible for building efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. Responsibilities Data Collection and Pre-processing: Collect, clean, and pre-process data from various sources to create high-quality datasets for model training. Model Development: Design and develop machine learning models and algorithms to address specific business problems and objectives. Feature Engineering: Engineer and select relevant features that are essential for model performance. Model Training: Train machine learning models on large datasets using frameworks like TensorFlow, PyTorch, scikit-learn, or others. Hyperparameter Tuning: Optimize model hyperparameters to improve model accuracy and generalization. Model Evaluation: Assess model performance using appropriate metrics, cross-validation, and testing on independent datasets. Deployment: Deploy machine learning models into production environments, often using containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). Model Monitoring and Maintenance: Continuously monitor model performance in real-time and update models as needed to maintain accuracy and relevance. Documentation: Maintain clear and comprehensive documentation for models, datasets, and processes. Research and Innovation: Stay up-to-date with the latest advancements in machine learning and AI. Research and experiment with new techniques and technologies. Continuous Learning: Engage in continuous learning and skill development to keep up with the rapidly evolving field of machine learning. Communication: Communicate results, progress, and challenges to team members and stakeholders #machinelearningengineer #immediatejoiners #jobseekers
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Hiring AI/DevOps Lead Interested candidate can share their resume to [email protected] c2c/W2/1099/C2H all fine Role: AI/DevOps lead Location: Remote Job Duration: 6+ Months Client: Direct Responsibilities: Model Deployment Model Monitoring Performance Tracking Error Logging: Keeping logs of errors or anomalies to identify and address issues promptly. Model Maintenance: Bug Fixes: Identifying and fixing bugs or issues that arise during model operation. Data Management: Data Collection: Gathering new data for training, fine-tuning, or evaluating the model. Data Cleaning: Ensuring that the data used is clean, relevant, and free of biases. Security and Compliance: Data Privacy: Ensuring that data used for training and inference complies with privacy regulations (e.g., GDPR, CCPA). Model Security: Protecting the model and data from unauthorized access or malicious attacks. Optimization: Performance Tuning: Adjusting model parameters, algorithms, and infrastructure to optimize performance and resource utilization. Ethical and Responsible AI: Bias Mitigation: Identifying and reducing biases in model outputs to ensure fairness and equity. Transparency: Making model operations and decisions transparent to users and stakeholders. Integration and API Management: Keywords: #DEVOPSEngineer #DevOpsLead #AIDevOps #AI #AritificialIntelligent #DevOps #H1b #c2c #EAD
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Connect - Swati kashyap Designation: AI ML Engineer. Location: Bangalore and Chennai. Experience: 3+Years Notice -immediate joiners or Serving notice period. Skills- AI/ML, GCP, Big query, Tensorflow. Job Description :- Develop, deploy, and optimize AI/ML models on Google Cloud Platform (GCP) to address complex business challenges. Collaborate with cross-functional teams, including data engineers and data scientists, to design and implement scalable AI solutions. Implement and manage machine learning workflows using GCP services such as AI Platform, BigQuery ML, and TensorFlow. Integrate machine learning models into existing systems, ensuring they are production-ready and scalable. Interested Candidate can share cv at [email protected] #AI #MachineLearning #DataScience #DeepLearning #ArtificialIntelligence #Python #TensorFlow #PyTorch #BigData #Algorithms #NLP #DataAnalysis #ModelTraining #PredictiveModeling #DataMining #ComputerVision #Analytics #StatisticalAnalysis #TechJobs #Innovation
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