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Technical Requirements: AI, Big Data, NLP, Machine Learning, Python, Microsoft LUIS
Responsibilities: Develop and implement AI models and solutions, Analysis large datasets, insights data driven decision making. Monitor and evaluate performance of AI models and continuously improve Documents processes methodologies and results to stakeholders.
Experience: 3 to 4 years
Job Description: We are seeking a skilled and detail-oriented professional to oversee and manage the organization's business data and analytics functions. The role involves designing and maintaining robust data pipelines, infrastructure, and models to process and analyze critical data, including website traffic, leads, sales, and P&L metrics. The ideal candidate will be responsible for ensuring data quality, developing scalable ETL processes, and building dashboards to enable actionable insights. This position requires close collaboration with cross-functional teams to align technical solutions with business objectives and support data-driven decision-making across the organization.
Education / Job Experience Required: 1. Bachelor's or master's degree in computer science, data science, or a related field Location: Bangalore
Day-to-Day Work:
Must-Have:
Good to Have:
Job Description:
Technical knowledge: AWS, Python, SQL, S3, EC2, Glue, Athena, Lambda, DynamoDB, RedShift, Step Functions, Cloud Formation, CI/CD Pipelines, Github, EMR, RDS,AWS Lake Formation, GitLab, Jenkins, and AWS CodePipeline. Role Summary: As a Senior Data Engineer,with over 5 years of expertise in Python, PySpark, SQL to design, develop and optimize complex data pipelines, support data modeling, and contribute to the architecture that supports big data processing and analytics to cutting-edge cloud solutions that drive business growth. You will lead the design and implementation of scalable, high-performance data solutions on AWS and mentor junior team members.This role demands a deep understanding of AWS services, big data tools, and complex architectures to support large-scale data processing and advanced analytics.
Key Responsibilities:
Requirements:
Preferred Skills:
Technical knowledge: AWS, Python, SQL, S3, EC2, Glue, Athena, Lambda, DynamoDB, RedShift, Step Functions, Cloud Formation, CI/CD Pipelines, Github, EMR, RDS,AWS Lake Formation, GitLab, Jenkins and AWS CodePipeline. Role Summary: As a Senior Data Engineer,with over 2 years of expertise in Python, PySpark, SQL to design, develop and optimize complex data pipelines, support data modeling, and contribute to the architecture that supports big data processing and analytics to cutting-edge cloud solutions that drive business growth. You will lead the design and implementation of scalable, high-performance data solutions on AWS and mentor junior team members.This role demands a deep understanding of AWS services, big data tools, and complex architectures to support large-scale data processing and advanced analytics.
We are seeking a talented Python and SQL Developer with 2 - 3 years of experience to join our team. As a Python and SQL Developer, you will be responsible for designing, developing, and maintaining data-driven applications and solutions. You will work closely with cross-functional teams to deliver high-quality software products that meet the clients needs.
Responsibilities:
As a Senior Data Scientist, you will lead data-driven projects and play a key role in shaping our data science strategy. You will be responsible for developing advanced algorithms, managing large-scale datasets, and mentoring junior team members.
Responsibilities
Requirements
Business Needs
Job Description: We are looking for a skilled Cloud Computing Engineer with expertise in AWS, Azure, and Google Cloud Platform (GCP) to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and managing cloud infrastructure solutions across multiple cloud platforms. This position requires hands-on experience in cloud architecture, security, automation, and optimizing cloud resources to meet business requirements. Key Responsibilities: • Design and deploy scalable, secure, and cost-effective cloud infrastructure solutions on AWS, Azure, and GCP. • Manage and maintain cloud environments, ensuring availability, performance, and security. • Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Azure Resource Manager (ARM) templates. • Configure, deploy, and manage cloud-based applications, services, and databases. • Automate cloud infrastructure provisioning, monitoring, and management to enhance efficiency and minimize downtime. • Optimize cloud infrastructure for performance, cost, and scalability. • Troubleshoot and resolve cloud-related infrastructure issues, providing ongoing support and maintenance. • Work closely with DevOps, development, and security teams to integrate cloud infrastructure with software solutions and CI/CD pipelines. • Implement cloud security best practices, including identity and access management (IAM), network security, and data protection. • Monitor and manage cloud resource utilization, optimize cost-efficiency, and recommend improvements. • Conduct regular cloud performance reviews and report on cloud usage, trends, and cost analysis.
Key Qualifications: • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. • Proven experience working with cloud platforms, specifically AWS, Azure, and GCP. • Strong knowledge of cloud infrastructure and services, including computing, storage, networking, and databases. • Proficiency in Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or Azure Resource Manager (ARM) templates. • Experience with cloud security, IAM, encryption, and data protection protocols. • Expertise in setting up and managing CI/CD pipelines using cloud-native tools or third-party tools (Jenkins, GitLab CI, etc.). • Familiarity with containerization and orchestration tools such as Docker and Kubernetes. • Solid experience with cloud monitoring and management tools (AWS CloudWatch, Azure Monitor, Google Stackdriver). • Experience in managing cloud cost optimization and using tools to manage and forecast cloud expenses. • Excellent problem-solving skills and the ability to troubleshoot complex cloud-related issues.
We are looking for a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have expertise in developing machine learning models, algorithms, and AI systems. You will be responsible for researching, designing, and implementing AI-driven solutions that solve complex business problems and enhance our products and services. Key Responsibilities: • Design, implement, and optimize machine learning models and AI algorithms for real-world applications. • Develop and deploy AI models and systems that enhance business operations and customer experiences. • Work closely with data scientists and engineers to collect, process, and analyze data for training AI models. • Collaborate with cross-functional teams to define and implement AI-driven solutions. • Optimize and tune AI models to improve accuracy, efficiency, and performance. • Conduct experiments, validate results, and provide insights from model performance. • Stay updated on AI and ML advancements and integrate new techniques into existing models. • Write production-ready code for AI models, ensuring maintainability and scalability. • Implement machine learning pipelines, including data preprocessing, model training, evaluation, and deployment. • Troubleshoot issues related to AI models and improve the model lifecycle. Key Qualifications: • Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • Proven experience as an AI/ML Engineer or in a similar role. • Strong proficiency in programming languages such as Python, Java, or C++. • Expertise in machine learning frameworks and libraries like TensorFlow, Keras, PyTorch, and Scikit-learn. • Experience in data manipulation and analysis using libraries like Pandas, NumPy, and Matplotlib. • Solid understanding of machine learning algorithms such as regression, clustering, neural networks, and deep learning. • Strong problem-solving, analytical, and debugging skills.
• Experience in deploying machine learning models in production environments. • Familiarity with cloud platforms (AWS, Google Cloud, Azure) and using cloud-based ML tools.
Job Description: We are seeking an experienced Data Scientist & Big Data Analyst to join our team and help drive data-driven decision-making by analysing large datasets and developing predictive models. As a Data Scientist and Big Data Analyst, you will work with cutting-edge technologies and methodologies to extract actionable insights, build machine learning models, and help solve complex business problems using big data technologies like Hadoop, Spark, and cloud-based platforms. Key Responsibilities: • Analyze large and complex datasets to identify trends, patterns, and business insights. • Develop machine learning models for classification, regression, and clustering to solve real world business problems. • Leverage Big Data technologies (Hadoop, Spark, etc.) to process and analyze massive datasets in distributed computing environments. • Work with data engineering teams to design and build data pipelines and data warehousing solutions. • Clean, preprocess, and validate large datasets to ensure high-quality and accurate analysis. • Build and deploy predictive models and algorithms using machine learning frameworks like TensorFlow, Scikit-learn, or PyTorch. • Create data visualizations and dashboards to communicate findings to business stakeholders. • Implement data-driven strategies to optimize business processes, marketing campaigns, customer engagement, and more. • Use statistical analysis, hypothesis testing, and A/B testing to generate insights and support business decisions. • Design and execute experiments and simulations to validate model predictions. • Stay up to date with the latest developments in data science, machine learning, and big data analytics to ensure the organization is leveraging the best technologies and methodologies. Key Qualifications: • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. • Proven experience as a Data Scientist or Big Data Analyst, with hands-on experience in analyzing large datasets and building machine learning models. • Expertise in Big Data technologies such as Hadoop, Spark, Hive, and MapReduce. • Proficiency in programming languages such as Python, R, Scala, or Java. • Strong understanding of statistical analysis, data mining, and machine learning algorithms. • Experience with data visualization tools like Tableau, Power BI, or programming libraries like Matplotlib, Seaborn, or ggplot2. • Hands-on experience with SQL and NoSQL databases such as MongoDB, Cassandra, or HBase. • Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their data processing services. • Experience with data wrangling, data cleaning, and feature engineering. • Strong problem-solving, analytical, and critical thinking skills. • Ability to communicate complex technical concepts to non-technical stakeholders.
Job Description: We are seeking a talented Power BI Developer to join our team and help create interactive, insightful, and visually appealing reports and dashboards using Power BI. In this role, you will work closely with business stakeholders to understand their data needs and deliver effective data visualisations that drive strategic decisions. The ideal candidate will have hands-on experience with Power BI, data modelling, data transformation, and dashboard/report development. Key Responsibilities: • Design, develop, and maintain Power BI reports and dashboards, ensuring they meet business requirements and deliver actionable insights. • Work with business users to gather requirements, translate them into reporting solutions, and ensure data accuracy. • Create data models, develop and optimise complex DAX (Data Analysis Expressions) queries, and integrate multiple data sources. • Perform data cleaning, data transformation, and data validation using Power Query and Power BI Desktop. • Design and implement efficient data visualisation techniques, including interactive charts, graphs, and KPI dashboards. • Develop and automate reporting processes to streamline data analysis and reporting workflows. • Collaborate with the IT and Data Engineering teams to integrate Power BI with various data sources like SQL databases, cloud data sources (Azure, AWS), and third-party applications. • Conduct performance tuning and optimisation of Power BI reports to ensure optimal performance for large datasets. • Create and maintain SQL queries and stored procedures for extracting data from different data sources. • Implement role-based security features in Power BI to control data access and ensure compliance. • Stay updated with the latest Power BI features and best practices, and proactively apply them to enhance reporting capabilities. • Assist in training users on how to use reports and dashboards effectively. • Provide ongoing support, troubleshooting, and enhancement of existing reports and dashboards. Key Qualifications: • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. • Proven experience as a Power BI Developer or similar role, with hands-on experience in report/dashboard development. • Expertise in Power BI Desktop, Power BI Service, Power Query, and Power BI Report Server. • Strong proficiency in Data Analysis Expressions (DAX) and experience with creating complex calculations and metrics. • Solid experience in SQL for querying, filtering, and transforming data from relational databases (e.g., SQL Server, MySQL). • Experience with integrating data from a variety of sources, including Excel, SharePoint, Azure, and other cloud-based data platforms. • Knowledge of data modelling techniques, including star and snowflake schemas, and best practices for organising and structuring data. • Understanding of data visualisation principles and best practices for creating intuitive and user-friendly reports. • Familiarity with advanced data analytics techniques such as predictive modelling, machine learning integration, or statistical analysis (optional). • Experience in creating and implementing role-level security (RLS) in Power BI reports. • Strong problem-solving skills and attention to detail.
Job Description: The primary responsibilities of this role include: • Building and maintaining pipelines for model development, testing, deployment, and monitoring. • Automating repetitive tasks such as model re-training, hyper parameter tuning, and data validation. • Developing CI/CD pipelines for seamless code migration. • Collaborating with cross-functional teams to ensure proper integration of models into production systems.
Key Skills Required: • 3+ years of experience in developing and deploying ML models in production. • Strong programming skills in Python (with familiarity in Bash/Shell scripting). • Hands-on experience with tools like Docker, Kubernetes, MLflow, or Airflow. • Knowledge of cloud services such as AWS SageMaker or equivalent. • Familiarity with DevOps principles and tools like Jenkins, Git, or Terraform. • Understanding of versioning systems for data, models, and code. • Solid understanding of MLflow, ML services, model monitoring, and enabling logging services for performance tracking.
Education Qualification: BE/BTECH/MCA Skill to Evaluate: Technical | App Development | Python Experience: 1 to 4 Years Role: Developer Skills: Python
Job Description : We are seeking an experienced AI/ML Engineer II to join our Furnace Operations Efficiency Program. In this role, you will develop cutting-edge AI and machine learning solutions to optimize furnace operations, improve energy efficiency, minimize waste, and enhance the overall quality of production. You will work directly with the operations team to create data-driven insights that drive smarter, more efficient manufacturing processes.
Your Mission:
What We’re Looking For:
What You’ll Achieve:
Why Join Us? You will be part of a team dedicated to revolutionizing industrial furnace operations with the power of AI. This is an exciting opportunity to work on real-world challenges and directly impact the efficiency and sustainability of manufacturing processes.
Apply Now to be at the forefront of AI-powered furnace optimization!
Job Description : Are you passionate about improving healthcare systems through intelligent solutions? Join us as an AI/ML Engineer I, where you’ll design AI-driven tools to optimize inventory management and human resource allocation in hospital operations.
Be part of the team that modernizes healthcare operations with AI and data-driven innovation.
Job Description : Are you ready to drive efficiency and sustainability with AI? We are looking for an experienced AI/ML Engineer II to develop transformative solutions that enhance operational efficiency and optimize solar power systems for maximum performance.
Join us to redefine efficiency and sustainability with AI-powered solutions.
Job Description : Are you ready to safeguard lives with cutting-edge AI solutions? We are seeking an experienced AI/ML Engineer II to design intelligent systems that enhance workplace safety and precision object detection across industries. This role requires technical expertise, a proactive mindset, and a passion for creating impactful solutions.
Why Join Us? This is your opportunity to lead innovation in safety technology. Your work will directly protect lives and set new benchmarks for AI-driven workplace safety. Be the force behind safer, smarter workplaces.
Job Description: Can you harness the power of AI to predict and prevent breakdowns before they disrupt operations? We are seeking an innovative AI/ML Engineer II to develop predictive maintenance solutions that redefine reliability, efficiency, and asset performance across industries.
Join us in shaping the future of industrial resilience and operational excellence through AI.
Job Description: We are seeking an experienced AI/ML Engineer II to lead the development of advanced forecasting and predictive analytics solutions for the retail and e-commerce sectors. This role will focus on leveraging machine learning, deep learning, and data-driven insights to optimize demand forecasting, inventory management, and customer behavior predictions to enhance business decisions.
Why Join Us? You will be at the forefront of transforming how retail and e-commerce businesses leverage AI to enhance forecasting, operations, and customer engagement. Join a dynamic team of innovators and problem-solvers working to shape the future of the industry.
Apply Now and help us revolutionize retail and e-commerce with the power of predictive analytics and AI!
Job Description :
We are looking for a talented and driven AI/ML Engineer II to join our team and lead the development of integrated digital solutions across healthcare, finance, and technology sectors. This role will involve creating sophisticated, AI-driven systems that optimize operations, improve customer experiences, and unlock val
uable insights for businesses in these critical industries.
Why Join Us? This is your chance to contribute to impactful, cross-industry AI solutions that shape the future of healthcare, finance, and technology. Be part of a team that is driving change, empowering industries with innovative digital solutions that create long-lasting benefits.
Apply Now and become a key player in our mission to build the next generation of integrated AI solutions for diverse industries!
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