Experienced Scrum Master with 10+ years in Agile delivery, adept at managing high-pressure engagements with demanding clients in the Life Sciences (Commercial) domain. Proven ability to bridge technical teams and stakeholders, ensuring alignment on business goals while driving Agile best practices. Key Strengths: Strong Customer Liaison Directly interfaces with tough clients, managing expectations, conflicts, and complex requirements. Deep Domain Knowledge Expertise in Life Sciences Commercial Operations (e.g., CRM, Sales/Marketing Analytics, Patient Services, HCP Engagement). Technical Agility Understands software development (SaaS, data platforms, AI/ML) to facilitate sprint planning, backlog refinement, and risk mitigation. Coaching & Influence – Guides teams in SAFe/Scrum, removes impediments, and fosters continuous improvement. Stakeholder Management – Balances business urgency with sustainable Agile practices, ensuring transparency and trust. Ideal for: Complex projects requiring a hands-on, assertive Scrum Master who can navigate technical challenges, domain complexities, and high-stakes client interactions. *ONLY IMMEDIATE JOINERS*

Key Responsibilities: Customer Onboarding & Adoption: Lead technical onboarding for new customers, ensuring seamless integration and deployment. Conduct training sessions and provide best practices to maximize product usage. Technical Support & Issue Resolution: Act as the primary technical contact for assigned customers. Troubleshoot and resolve customer issues by working closely with internal technical teams. Provide timely and effective resolutions, ensuring minimal business disruption. Customer Engagement & Advocacy: Develop strong relationships with key customer stakeholders. Conduct regular check-ins, QBRs (Quarterly Business Reviews), and strategy sessions to assess customer needs and success. Gather customer feedback and advocate for feature enhancements with Product and Engineering teams. Solution Engineering & Optimization: Assist customers in optimizing their workflows and implementing best practices. Provide guidance on architecture, scalability, and security considerations. Collaboration & Continuous Improvement: Work closely with Sales to support pre-sales activities, including demos and proof-of-concepts. Contribute to knowledge base articles, documentation, and FAQs to improve self-service resources. Required Qualifications & Skills: Experience: 6-8 years of experience in Customer Success, Solutions Engineering, or a related technical role. Proven experience in customer-facing technical support or solution consulting. Technical Skills: Hands-on experience with cloud platforms (AWS, Azure, GCP), DevOps tools , and containerization technologies (Docker, Kubernetes). Proficiency in scripting languages (Python, Bash, PowerShell) and infrastructure automation (Terraform, Ansible, Puppet). Strong understanding of APIs, databases, and networking concepts. Soft Skills: Excellent communication and interpersonal skills to interact with both technical and non-technical stakeholders. Strong problem-solving skills with a proactive and customer-first mindset. Ability to manage multiple customer relationships and prioritize tasks effectively.

Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines

Key Responsibilities: Define and own the technical architecture and system design of end-to-end full stack applications. Lead design and implementation efforts across the frontend , backend , and cloud infrastructure . Choose appropriate frameworks, tools, and technologies to ensure scalability , security , and performance . Collaborate with cross-functional teams including product, design, DevOps, and QA to deliver high-quality software solutions. Establish coding standards , best practices , and perform code reviews to maintain code quality. Design and implement RESTful APIs , microservices , and cloud-based deployments using CI/CD pipelines. Evaluate and integrate new technologies and frameworks aligned with business needs and long-term goals. Mentor junior and mid-level developers, providing guidance on solution design and technical challenges. Ensure adherence to security , compliance , and data governance standards in application design. Domain: Life sciences or Pharma (Preferred)

Job Title: IT Project Manager (Life Sciences) Location: OMR, Chennai Work Mode: On-site (Ready to work from office) Experience: 12+ Years Job Description: We are looking for an IT Project Manager with deep expertise in Life Sciences (Pharma/Biotech/MedTech) and hands-on experience managing Data Engineering projects . The ideal candidate will have 12+ years of experience leading IT initiatives, including data pipelines, cloud-based analytics, and regulatory-compliant data solutions in the Life Sciences domain. Key Responsibilities: Lead end-to-end IT and Data Engineering projects (data lakes, ETL/ELT, warehousing, AI/ML pipelines) in compliance with GxP, 21 CFR Part 11, and GDPR . Manage cross-functional teams (IT, Data Scientists, DevOps, Business Analysts) to deliver scalable data solutions. Oversee cloud-based data platforms (AWS/Azure/GCP), ensuring architecture aligns with Life Sciences regulations. Drive data governance, quality, and integrity initiatives for clinical, manufacturing, and commercial data. Collaborate with stakeholders to define data strategy, metadata management, and analytics roadmaps . Ensure adherence to Agile/Scrum/DevOps methodologies for data project delivery. Mitigate risks related to data security, privacy, and regulatory audits (e.g., FDA, HIPAA). Required Skills & Qualifications: 12+ years in IT Project Management, with 5+ years in Data Engineering projects (ETL, data warehousing, Big Data). Strong Life Sciences domain knowledge (e.g., clinical trials, genomics, drug manufacturing, MedTech data). Hands-on experience with: Data Technologies: SQL, Python, Spark, Kafka, Databricks, Snowflake, or similar. Cloud Platforms: AWS (Glue, Redshift), Azure (Synapse, Data Factory), or GCP (BigQuery). Regulatory Compliance: GxP, CSV, ALCOA+ principles for data integrity. Familiarity with AI/ML pipelines and real-time analytics in Life Sciences. Certifications like PMP, AWS/Azure Data Engineer, or CDMP are a plus. Excellent communication and stakeholder management skills. Preferred Experience: Life Sciences-specific tools: Veeva Vault, Medidata Rave, OMOP/CDISC, SAS, or LIMS. Master Data Management (MDM) and Data Mesh/Fabric implementations.

Role & responsibilities Job Title: Data Engineer Years of experience: 6 to 10 years (Minimum 5 years of relevant experience) Work Mode: Work From Office Hyderabad Notice Period-Immediate to 30 Days only Key Skills: Python, SQL, AWS, Spark, Databricks - ( Mandate) Airflow- Good to have

Years of experience: 4 to 8 years (with minimum 4 years of relevant experience) Tech Stack : AWS Python SQL Pyspark

Experience - 4+ years Programming Side: Strong programming skill on Python Strong skill on SQL and any one of the Database/Data warehouses Knowledge on Spark coding and Architecture Sound knowledge on ETL flow, Good Knowledge on Databricks. Experience on any cloud(AWS/Azure/GCP) Knowledge on any one of the scheduling tools (good to have) Knowledge on any 1 of the real time data processing (Kafka/Kinesis/Spark Steams) (Good to have)

Join the Direct Walkin Drive for Scrum Master Date : 19-June-2025 (Thursday) Time: 11:00 AM to 03:00 PM Contact Recruiter: Anishma Experience : 8 - 12 years ( (with minimum 8+ years of relevant experience) Location: Chennai Venue: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096 Registration Link: https://web.agilisium.com/scrummaster Job Description: Scrum Master Notice period: ONLY - Immediate to 15 days Key Skills: Certified Scrum Master (CSM/PSM) Life Sciences (Highly preferred) SAFe & PI Planning (Preferred) Jira, Miro & Sprint Metrics (Burn-down, Velocity) Scrum Ceremonies Facilitation Agile Coaching & Impediment Removal Stakeholder & Conflict Management Resource Onboarding & Tracking Regards, Anishma Alexen (HR Team)

Key Responsibilities: 10+ years - Architect to design scalable, production-grade AI/ML systems and data pipelines. Collaborate with stakeholders to identify and scope use cases for machine learning, deep learning, NLP, and computer vision. Lead the selection and implementation of AI/ML frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, Scikit-learn). Guide teams in model development, training, evaluation, deployment, and monitoring in production environments. Define MLOps strategy for CI/CD, model versioning, retraining, and governance. Ensure solutions are optimized for performance, scalability, security, and compliance. Work closely with data engineers to ensure robust data pipelines, feature stores, and data quality standards. Serve as an AI thought leader within the organization, mentoring engineers and promoting best practices. Evaluate new AI technologies and platforms to drive innovation and maintain competitive advantage. Contribute to documentation, standards, and architecture governance.

We are looking for a skilled Data Engineer with strong expertise in Python, PySpark, SQL, and AWS to join our data engineering team. The ideal candidate will be responsible for building scalable data pipelines, transforming large datasets, and enabling data-driven decision-making across the organization. Role & responsibilities Data Pipeline Development: Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming large datasets from diverse sources into usable formats. Performance Optimization: Optimize data processing and storage systems for cost efficiency and high performance, including managing compute resources and cluster configurations. Automation and Workflow Management: Automate data workflows using tools like Airflow, Databricks APIs, and other orchestration technologies to streamline data ingestion, processing, and reporting tasks. Data Quality and Validation: Implement data quality checks, validation rules, and transformation logic to ensure the accuracy, consistency, and reliability of data. Cloud Platform Management: Manage and optimize cloud infrastructure (AWS, Databricks) for data storage, processing, and compute resources, ensuring seamless data operations. Preferred candidate profile Strong proficiency in Python for scripting and data manipulation. Hands-on experience with PySpark for distributed data processing. Proficient in writing complex SQL queries for large-scale data extraction and transformation. Solid understanding and experience with AWS cloud ecosystem (especially S3, Glue, EMR, Lambda). Knowledge of data warehousing, data lakes, and ETL/ELT processes. Familiarity with version control tools like Git and workflow orchestration tools (e.g., Airflow) is a plus.

We are looking for a skilled Data Engineer with strong expertise in Python, PySpark, SQL, AWS and Data Bricks to join our data engineering team. The ideal candidate will be responsible for building scalable data pipelines, transforming large datasets, and enabling data-driven decision-making across the organization. Role & responsibilities Data Pipeline Development: Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming large datasets from diverse sources into usable formats. Performance Optimization: Optimize data processing and storage systems for cost efficiency and high performance, including managing compute resources and cluster configurations. Automation and Workflow Management: Automate data workflows using tools like Airflow, Databricks APIs, and other orchestration technologies to streamline data ingestion, processing, and reporting tasks. Data Quality and Validation: Implement data quality checks, validation rules, and transformation logic to ensure the accuracy, consistency, and reliability of data. Cloud Platform Management: Manage and optimize cloud infrastructure (AWS, Databricks) for data storage, processing, and compute resources, ensuring seamless data operations. Preferred candidate profile Strong proficiency in Python for scripting and data manipulation. Hands-on experience with PySpark for distributed data processing. Proficient in writing complex SQL queries for large-scale data extraction and transformation. Solid understanding and experience with AWS cloud ecosystem (especially S3, Glue, EMR, Lambda). Knowledge of data warehousing, data lakes, and ETL/ELT processes. Familiarity with version control tools like Git and workflow orchestration tools (e.g., Airflow) is a plus. Location - Hyderabad (Work From Office) Notice - Immediate or 15days

We are looking for a skilled Data Engineer with strong expertise in Python, PySpark, SQL, AWS and Data Bricks to join our data engineering team. The ideal candidate will be responsible for building scalable data pipelines, transforming large datasets, and enabling data-driven decision-making across the organization. Role & responsibilities Data Pipeline Development: Design, build, and maintain scalable data pipelines for ingesting, processing, and transforming large datasets from diverse sources into usable formats. Performance Optimization: Optimize data processing and storage systems for cost efficiency and high performance, including managing compute resources and cluster configurations. Automation and Workflow Management: Automate data workflows using tools like Airflow, Databricks APIs, and other orchestration technologies to streamline data ingestion, processing, and reporting tasks. Data Quality and Validation: Implement data quality checks, validation rules, and transformation logic to ensure the accuracy, consistency, and reliability of data. Cloud Platform Management: Manage and optimize cloud infrastructure (AWS, Databricks) for data storage, processing, and compute resources, ensuring seamless data operations. Preferred candidate profile Strong proficiency in Python for scripting and data manipulation. Hands-on experience with PySpark for distributed data processing. Proficient in writing complex SQL queries for large-scale data extraction and transformation. Solid understanding and experience with AWS cloud ecosystem (especially S3, Glue, EMR, Lambda). Knowledge of data warehousing, data lakes, and ETL/ELT processes. Familiarity with version control tools like Git and workflow orchestration tools (e.g., Airflow) is a plus. Location - Hyderabad (Work From Office) Notice - Immediate or 15days

We are seeking an experienced Operations Cloud Engineer to join our Foundation Operations team. In this role, you will be responsible for managing and optimizing our cloud infrastructure, with a focus on AWS and Kubernetes environments. You will play a crucial role in ensuring the reliability, security, and scalability of our cloud-based services, including our customer portal. What you will do: (Roles & Responsibilities) Design, implement, and maintain cloud infrastructure using AWS services Manage and optimize Kubernetes clusters for running containerized applications Implement and maintain cloud security best practices and compliance standards Troubleshoot and resolve issues related to cloud infrastructure and applications Collaborate with development teams to improve application deployment and performance Automate operational processes to enhance efficiency and reduce manual interventions Monitor system health, performance, and capacity to ensure optimal service delivery Participate in support for critical systems Stay current with emerging cloud technologies and industry trends What you need to succeed: (MUST Haves) Bachelor's degree in Computer Science, Information Technology, or related field 5+ years of experience in cloud operations or DevOps roles 1-2 years of hands-on experience with AWS services and architecture We're seeking a versatile Cloud Engineer who is eager to learn and work with diverse technologies. The ideal candidate will be comfortable with: Cloud Services: Strong understanding of AWS, including S3 storage and Amazon Connect environments. Containerization: Experience with enterprise-level container technologies, particularly Kubernetes and RedHat OpenShift. This includes designing resilient, supportable solutions and understanding various workloads. Monitoring and Logging: Proficiency with CloudWatch, and preferably Splunk. Infrastructure Support: Ability to manage services running on Kubernetes, including Lite Proxy for APIs, web servers (IBM HTTP Server), and a custom portal. DevOps: Familiarity with CloudFormation, with plans to transition to Terraform. Networking: Knowledge of contact center or other network-related services is a plus. Adaptability: Willingness to learn and support Amazon Connect environments, with training provided. Independent Work: Comfort working autonomously, as other team members operate on Canadian overlapping hours. The role involves diverse responsibilities, from configuring S3 storage to setting up Amazon Connect environments. The successful candidate will be a quick learner, adaptable to new technologies, and capable of working across different time zones. Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) Familiarity with CI/CD pipelines and version control systems (e.g., Git) Excellent problem-solving and analytical skills Strong communication and teamwork abilities Ideal Candidate will also have: (More preferred) Experience with other cloud platforms (e.g., AWS, Azure, GCP) for multi-cloud environments Certifications in AWS (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) Knowledge of monitoring and logging tools (e.g., Prometheus, ELK stack) Experience with database management and optimization in cloud environments Understanding of microservices architecture and API design principles Familiarity with agile methodologies and project management tools This role offers an exciting opportunity to work with cutting-edge cloud technologies and contribute to the success of our organization's digital transformation. If you are passionate about cloud operations, have a strong foundation in AWS and Kubernetes, and thrive in a dynamic, fast-paced environment, we encourage you to apply new technologies . We're looking for someone who embraces the opportunity to experiment with various DevOps tools, adapt to emerging trends, and grow their skillset alongside our team.

CI/CD Automation: Design, build, and maintain robust CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Infrastructure as Code (IaC): Implement and manage infrastructure using tools like Terraform, CloudFormation, or Ansible. Cloud Services: Deploy and manage applications in cloud environments (AWS, Azure, or GCP). Monitoring & Logging: Set up and manage tools like Prometheus, Grafana, ELK/EFK stack, or Datadog for system monitoring and logging. Security & Compliance: Work with security teams to ensure systems are compliant with industry standards (e.g., ISO, SOC2). Incident Management: Respond to outages and performance issues, performing root cause analysis and documentation. Collaboration: Work closely with developers and QA to ensure smooth integration and delivery of new features.

Role & responsibilities Job Title: Data Engineer Years of experience: 7 to 12 years (Minimum 5 years of relevant experience) Work Mode: Work From Office Hyderabad Notice Period-Immediate to 30 Days only Key Skills: Python, SQL, AWS, Spark, Databricks - ( Mandate) Airflow- Good to have

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Walkin Date: 5-July-2025 ( Saturday ) Time: 11:00 am to 3:00pm Years of experience: 4 to 12 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Skillset: Python,Pyspark,SQL,AWS,Databricks Airflow-Good to have Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad. Sharing below registration link,Kindly complete the registration process as it mandate for participation. https://web.agilisium.com/hyderabad/july-5th

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 12 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python,Pyspark,SQL,AWS,Databricks Airflow-Good to have Sharing below registration link,Kindly complete the registration process as it mandate for participation. https://web.agilisium.com/hyderabad/july-5th

AWS Data Engineer Employment Type: Full Time Employment Work Mode: Work From Office Job Location: Hyderabad Contact Recruiter: Anishma Alexen Walkin Date: 5-July-2025 Time: 11:00 am to 3:00pm Years of experience: 4 to 10 years (with minimum 4 years of relevant experience) Notice: Immediate to 30 days Venue: Agilisium Consulting, RMZ Spire, Tower -100, Hitec City , Hyderabad . Skillset: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API Kindly complete the registration process as it mandate for participation Registration Link: https://lnkd.in/gfXVUE8U

AI/ML Engineer Years of experience: 3-10 years (with minimum 3 years of relevant experience) Key Skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API NOTE: ONLY REGISTERED CANDIDATES WILL ALLOWED TO PARTICIPATE IN THE WALKIN DRIVE https://lnkd.in/gfXVUE8U Location: Hyderabad Walkin Date: 5th July 2025 Time: 11:00 am to 3:00pm