5534 Data Science Jobs - Page 42

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

We are looking for 10+ years of experienced Data Architects Responsibilities include: Work as part of a team to Design and Architect Large Data Platforms, Analytics and AI solutions Participate in the development of cloud data warehouses, data as a service, business intelligence solutions Ability to provide solutions that are forward-thinking in data integration Programming experience in Scala or Python, SQL Working experience in Apache Spark is highly preferred Familiarity with some of these AWS and Azure Services like S3, ADLS Gen2, AWS, Redshift, AWS Glue, Azure Data Factory, Azure Synapse Certifications : AWS/ other Cloud Services Architect Certifications SnowPro Core Certification Databricks Professional level Certification Primary Skills : Must Have: Bachelor's or Master's degree in Computer Science or a related field Must Have: 7+ years of hands-on experience Data Engineering, Building Data Pipelines, Warehouses, Architecting Data platforms, Data Models, Data Science, AI use cases etc. Proven experience as a Data Architect or in a similar role. Proficiency in developing and maintaining our data architecture, ensuring its scalability, security, and alignment with business objectives. Good experience in MDM/PIM Solution Implementation Soft Skills : Excellent communication and interpersonal skills, with the ability to articulate ideas and discuss technical concepts with both technical and non-technical team members Clear and effective documentation, code comments, and the ability to write technical reports or emails are essential. Collaboration is often an integral part of software development, Data Projects. Being able to work well with others, share knowledge, and contribute positively to a team is crucial. Strong problem-solving and analytical skills, with the ability to make sound decisions under pressure. Efficiently managing one's time and meeting deadlines is critical in a fast-paced development environment. Understanding the needs and expectations of end-users or clients and developing solutions that meet or exceed those expectations.

Technical Expertise: Must Have Proficient in Java (must have ) . Hands-on experience with AWS AI services such as AWS Bedrock and Sagemaker. Good to have Python(good to have) programming with experience in libraries like TensorFlow, PyTorch, NumPy, and Pandas Experience with DevOps practices, including CI/CD pipelines, system monitoring, and troubleshooting in a production environment. Familiarity with other platforms like Google Gemini, and Copilot technologies. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Ability to work with teams in a dynamic, fast-paced environment. Key Responsibilities: Design, develop, and implement AI and machine learning models using AWS AI services like AWS bedrock and Sagemaker. Fine-tune and optimize AI models for business use cases. Implement Generative AI solutions using AWS Bedrock and Java. Write efficient, clean, and maintainable Java/Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Experience: 5 to 8 years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Mandatory Competencies Programming Language - Java - Core Java (java 8+) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Middleware - API Middleware - Microservices

We are looking for a skilled AI/ML Ops Engineer to join our team to bridge the gap between data science and production systems. You will be responsible for deploying, monitoring, and maintaining machine learning models and data pipelines at scale. This role involves close collaboration with data scientists, engineers, and DevOps to ensure that ML solutions are robust, scalable, and reliable. Key Responsibilities: Design and implement ML pipelines for model training, validation, testing, and deployment. Automate ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar. Deploy machine learning models to production environments (cloud). Monitor model performance, drift, and data quality in production. Collaborate with data scientists to improve model robustness and deployment readiness. Ensure CI/CD practices for ML models using tools like Jenkins, GitHub Actions, or GitLab CI. Optimize compute resources and manage model versioning, reproducibility, and rollback strategies. Work with cloud platforms AWS and containerization tools like Kubernetes (AKS). Ensure compliance with data privacy and security standards (e.g., GDPR, HIPAA). Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 5+ years of experience in DevOps, Data Engineering, or ML Engineering roles. Strong programming skills in Python; familiarity with R, Scala, or Java is a plus. Experience with automating ML workflows using tools such as MLflow, Kubeflow, Airflow, or similar Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Experience with ML model monitoring and alerting frameworks (e.g., Evidently, Prometheus, Grafana). Familiarity with data orchestration and ETL/ELT tools (Airflow, dbt, Prefect). Preferred Qualifications: Experience with large-scale data systems (Spark, Hadoop). Knowledge of feature stores (Feast, Tecton). Experience with streaming data (Kafka, Flink). Experience working in regulated environments (finance, healthcare, etc.). Certifications in cloud platforms or ML tools. Soft Skills: Strong problem-solving and debugging skills. Excellent communication and collaboration with cross-functional teams. Adaptable and eager to learn new technologies. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Development Tools and Management - Development Tools and Management - CI/CD Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Big Data - Big Data - Hadoop Big Data - Big Data - SPARK Data Science and Machine Learning - Data Science and Machine Learning - Python Beh - Communication and collaboration

Job Summary We are seeking a highly skilled Global Data Engineer at the Senior Associate level to support our domestic Digital Finance Transformation team. The ideal candidate will possess advanced expertise in SQL, Alteryx, Power BI, and Python, along with strong experience in current finance use cases and leading practices related to artificial intelligence (AI) and machine learning (ML). This role will focus on building robust data pipelines, developing analytics and reporting solutions, and integrating AI/ML models to drive business insights and process automation. Job Duties Key Responsibilities Collaborate closely with the stateside Digital/Finance Transformation team to understand business requirements and deliver data-driven solutions. Design, develop, and maintain ETL/ELT pipelines using SQL and Alteryx for data ingestion, transformation, and integration from multiple sources. Cleanse, structure, and transform large data sets from various sources (e.g., ERPs, APIs, cloud data lakes). Build and optimize data models and data warehouses to support analytics, reporting, and machine learning workflows. Develop, publish, and maintain interactive dashboards and reports in Power BI for finance and business stakeholders. Integrate machine learning models into data pipelines for real-time or batch inference. Integrate data quality, integrity, and security concepts across all data assets and processes. Automate data processes and workflows to improve efficiency and scalability. Document data engineering processes, data flows, and AI/ML model integration. Translate business requirements into technical solutions and deliverables. Follow best practices in data security, data governance, privacy, and compliance. Qualifications, Knowledge, Skills and Abilities Education : Bachelors or masters degree in computer science, Data Science, Engineering, or related field (preferred). Experience & Skills : Advanced proficiency in SQL for data extraction, transformation, and analysis. Hands-on experience with Alteryx for ETL/ELT workflows and data automation. Strong expertise in Power BI for data visualization, dashboard development, and report publishing. Strong expertise in Python, including data integration and analysis (preferred). Solid understanding of AI and machine learning concepts and leading practices. Experience with machine learning frameworks, data modeling, warehousing, and relational databases. Excellent problem-solving, analytical, and communication skills; comfortable working across time zones in a collaborative, fast-paced virtual environment.

We are looking for a highly skilled Data Science Trainer to join our team at 360DigiTMG, with a strong background in IT Services & Consulting. The ideal candidate will have excellent training skills and the ability to teach others about data science concepts. Roles and Responsibility Develop and deliver comprehensive training programs on data science topics. Create engaging and interactive learning materials to support training sessions. Evaluate trainee progress and provide constructive feedback. Collaborate with cross-functional teams to identify training needs and develop targeted programs. Stay updated with industry trends and developments in data science. Design and implement assessment tools to evaluate training effectiveness. Job Requirements Strong knowledge of data science concepts and principles. Excellent communication and interpersonal skills. Ability to work effectively with diverse groups of people. Experience in developing and delivering training programs. Strong analytical and problem-solving skills. Familiarity with industry-standard tools and technologies.

Working on Full-stack and Architecture-level implementations Code APIs and work on server side databases and/or work on frontend development Build AI & Data Driven solutions Manage & optimize AWS cloud infrastructure Fix bugs and strive to improve application stability and performance. Requirements: Excellent coding skills, good in algorithms. Experience with Java, ReactJS or NodeJS is a plus. Experience in the field of AI, Data Science and/or AWS related technologies is a plus. Understanding of MySQL or NoSQL databases like dynamoDB and MongoDB is a plus. Good understanding of OS and DBMS design principles. Hands-on experience with Android is a plus. Excellent problem-solving skills. Strategic thinking from an application perspective. Analytical thinking in terms of innovation for the problems we are trying to solve, and how we can incorporate technology to solve them

We are looking for a highly skilled Quant Researcher to join our team at QuantInsti, a leading quantitative learning company in the IT Services & Consulting industry. The ideal candidate will have a strong background in quantitative research and analysis, with excellent problem-solving skills and attention to detail. Roles and Responsibility Conduct thorough quantitative analysis of complex data sets to identify trends and patterns. Develop and implement advanced statistical models and algorithms to solve real-world problems. Collaborate with cross-functional teams to design and execute experiments and studies. Analyze and interpret large datasets to inform business decisions and drive growth. Stay up-to-date with industry trends and developments in quantitative research. Communicate complex technical concepts effectively to non-technical stakeholders. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with data visualization tools like Tableau or Power BI. Excellent understanding of statistical concepts and machine learning algorithms. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong organizational and time management skills with the ability to prioritize tasks.

We are looking for a highly motivated and enthusiastic individual to join our team as an AI Training Program professional. The ideal candidate will have a strong foundation in artificial intelligence and machine learning, with excellent problem-solving skills and attention to detail. Roles and Responsibility Develop and implement AI and ML models to solve complex problems. Collaborate with cross-functional teams to design and deploy AI-powered solutions. Conduct research and analysis to identify opportunities for AI adoption. Design and deliver training programs on AI and ML topics. Evaluate the effectiveness of AI models and recommend improvements. Stay updated with industry trends and advancements in AI and ML. Job Requirements Strong understanding of AI and ML concepts, including algorithms and data structures. Experience with programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing priorities. Familiarity with AI frameworks and tools such as TensorFlow or PyTorch.

We are looking to add an experienced and enthusiastic Lead Data Scientist to our Jet2 Data Science team in India. Reporting to the Data Science Delivery Manager , the Lead Data Scientist is a key appointment to the Data Science Team , with responsibility for executing the data science strategy and realising the benefits we can bring to the business by combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business. In this exciting role, y ou will be joining an established team of 40+ Data Science professionals , based across our UK and India bases , who are using data science to understand, automate and optimise key manual business processes, inform our marketing strategy, and ass ess product development and revenue opportunities and optimise operational costs. As Lead Data Scientist, y ou will have strong experience in leading data science projects and creating machine learning models and be able t o confidently communicate with and enthuse key business stakeholders . Roles and Responsibilities A typical day in your role at Jet2TT: A lead data scientist would lead a team of data science team Lead will be responsible for delivering & managing day-to-day activities The successful candidate will be highly numerate with a statistical background , experienced in using R, Python or similar statistical analysis package Y ou will be expected to work with internal teams across the business , to identify and collaborate with stakeholders across the wider group. Leading and coaching a group of Data Scientists , y ou will plan and execute the use of machine learning and statistical modelling tools suited to the identified initiative delivery or discovery problem identified . You will have strong ability to analyse the create d algorithms and models to understand how changes in metrics in one area of the business could impact other areas, and be able to communicate those analyses to key business stakeholders. You will identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time , and ensuring retained data/information provides value to the organisation and remains in-line with legitimate business and/or regulatory requirements. Your ability to rise above group think and see beyond the here and now is matched only by your intellectual curiosity. Strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI will be essential . They will also have experience in developing and deploying predictive models using machine learning frameworks and worked with big data technologies. As we aim to realise the benefits of cloud technologies, some familiarity with cloud platforms like AWS for data science and storage would be desirable. You will be skilled in gathering data from multiple sources and in multiple formats with knowledge of data warehouse design, logical and physical database design and challenges posed by data quality. Qualifications, Skills and Experience (Candidate Requirements): Experience in leading small to mid-size data science team Minimum 7 years of experience in the industry & 4+ experience in data science Experience in building & deploying machine learning algorithms & detail knowledge on applied statistics Good understanding of various data architecture RDBMS, Datawarehouse & Big Data Experience of working with regions such as US, UK, Europe or Australia is a plus Liaise with the Data Engineers, Technology Leaders & Business Stakeholder Working knowledge of Agile framework is good to have Demonstrates willingness to learn Mentoring, coaching team members Strong delivery performance, working on complex solutions in a fast-paced environment

Paramatrix Technologies Pvt. Ltd is looking for Sr Python to join our dynamic team and embark on a rewarding career journey Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Beckman Coulter Life Sciences, one of Danaher s 15+ operating companies, our work saves lives and we re all united by a shared commitment to innovate for tangible impact. You ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher s system of continuous improvement, you help turn ideas into impact innovating at the speed of life. At Beckman Coulter Life Sciences, we know time is the most critical facet in the laboratory today: time to get life-saving therapies to patients faster; reclaiming time by automating tedious manual workflows; and saving time spent addressing erroneous or complex results. We are partners in time and accelerate answers to critical questions through the power of automation. We develop innovations for scientists by scientists, with many of our 3,300+ global colleagues coming from the laboratory. It s all part of our time-tested approach to bringing meaningful innovations at the speed of life since 1935. And we re just beginning. Working together, let s put our time and talents together to advance human health for tomorrow. Learn about the Danaher Business System which makes everything possible. This Data Science - Intern is responsible for implementing data-driven solutions to support our remote connectivity software platform. This position is part of the Biotech Software Team located in the India Development Center and will be an on-site role. In this role, you will have the opportunity to: Collaborate closely with cross-functional teams, including software engineers, to integrate data engineering solutions into our remote connectivity platform, providing enhanced insights into instrument performance. Design and implement data pipelines to ingest, process, and load data from diverse sources into our data systems. Conduct proof-of-concept studies and feasibility analyses to identify and implement solutions that ensure reliable and accurate data delivery. Leverage available data to develop models and strategies for predictive maintenance of instruments, aiming to reduce downtime and improve reliability. The essential requirements of the job include: Currently pursuing a postgraduate degree in Data Science, AI or related fields. Strong understanding of machine learning algorithms, statistics, and data preprocessing. Proficient in data science technologies and tools, and database management systems. Strong programming skills in languages such as Python. Exposure to cloud-based data platforms such as Azure. Beckman Coulter Life Sciences, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info . Join our winning team today. Together, we ll accelerate the real-life impact of tomorrow s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com .