Jobs @ xLM

Who we are looking for a talented candidate with 5+ years of experience with hands- on Experience in designing highly reusable and efficient Automation Test framework design in Selenium/UFT and able to maintain/support an automation framework. The objective is to serve our rapidly expanding business. Expecting passionate and talented professionals to join our fast-growing team.

We also have multiple other positions for Senior Automation Test Engineers

Roles and Responsibilities:

• Designing new frameworks, you will automate the manual task.
• Participate in the team’s Scrum activities.
• Collaborate with QA Team.
• Provide support in production-related issues.
• Learn and gain experience in the new technologies and toolsets.
• Inspecting Elements, Create Test Cases using Element locators and Selenium WebDriver Commands.
• Strong problem-solving and troubleshooting skills with the ability to exercise good judgment.
• Strong understanding of analyzing defects, reporting, and solving errors.
• Work independently and manage multiple task assignments.
• Work collaboratively in a creative, Agile environment.

Education:

• Bachelor's (Preferred)

Experience:

• Automation testing: 5 years (Preferred)
• Total work: 5 years (Preferred)
• Manual Testing: 5 years (Preferred)

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge test automation projects supporting our Global Pharma/Biotech/Medical Device customers.
• Collaborative and supportive work environment.
• Continuous learning and development opportunities.

This role is responsible for oversight of the computerized system lifecycle with a focus on clinical and regulatory computerized systems. This role is highly cross-functional and works closely with QA, business, and vendors to ensure compliance with internal Computer System Validation (CSV)procedures, FDA regulations, 21CFRPart11, and data integrity principles.

Roles and Responsibilities:

• Oversee the execution of qualification/validation activities of new software implementations and maintenance of existing systems.
• Author, review and approval, of computer system validation documents, including validation plans, risk assessment and test scripts for the computer system implementation.
• Accountable for initiation/preparation and closeout of all CSV related change management documents.
• Implement appropriate validation methodologies as per company procedures in collaboration with IT, QA, Business, and system vendors.
• Work with project manager to develop timelines for validation in implementation timelines.
• Review and analyze the system requirements using risk-based approach.
• Evaluate proposed changes to validated computer systems and recommend level of validation activities required.
• Support the identification and qualification of all computer systems which impact GxP operations using a risk-based methodology.
• Author and/or review validation documentation e.g., System Risk Assessment, Validation Plan, System Requirements, Test Plan, test scripts/checklists, traceability matrix, deviation log, validation summary reports, and system use documentation (system admin, user admin procedures).
• Author and/or review decommissioning documentation of GxP software systems and any associated data migration activities.
• Work closely with IT, business, and QA owners to ensure appropriate validation of GxP computer systems.
• Duties may include internal compliance or efficiency improvement efforts within CSV department.
• Ensure that SOP’s and procedural methodologies employed to maintain the validated state are reviewed and updated as needed.
• Provides active role in the continuous improvements of CSV processes and methodologies as per current regulations

Education:

• Bachelor's Degree in Engineering (Minimum)

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge CSV projects.
• Collaborative and supportive work environment.
• Continuous learning and development opportunities.

We are seeking a talented and experienced Data Scientist to join our team and support the development of innovative AI and Machine Learning (AI/ML) applications. You will play a crucial role in the entire ML lifecycle, from data acquisition and exploration to model development, deployment, and monitoring. You will work closely with engineers, researchers, and product managers to translate business needs into AI solutions, driving value and optimizing our operations.

Responsibilities:

• Collaborate with cross-functional teams to identify opportunities for applying AI/ML to solve business problems and improve decision-making.
• Participate in the entire AI/ML lifecycle, including data exploration, feature engineering, model selection, training, evaluation, and deployment.
• Develop and implement machine learning algorithms and models using various techniques (e.g., supervised learning, unsupervised learning, deep learning).
• Design and conduct experiments to evaluate and compare different model architectures and hyperparameters.
• Develop and maintain production-grade ML pipelines for efficient data ingestion, pre-processing, and model training.
• Monitor and evaluate the performance of deployed models, identify potential issues, and propose improvements.
• Stay up-to-date with the latest advancements in AI/ML research and trends, actively seeking opportunities to incorporate them into our projects.
• Effectively communicate technical concepts and insights to both technical and non-technical audiences.
• Maintain accurate and well-documented code and technical specifications.

Qualifications:

• Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in developing and applying AI/ML algorithms for real- world applications.
• Strong proficiency in programming languages such as Python, R, and/or Java.
• Familiarity with various machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data exploration, cleaning, and visualization tools (e.g., Pandas, Matplotlib, Tableau).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying and managing ML models.
• Excellent communication, collaboration, and problem-solving skills.
• Strong analytical and critical thinking skills.
• Ability to work independently and as part of a team.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI/ML projects supporting our Enterprise Customers.
• Collaborative and supportive work environment.
• Continuous learning and development opportunities.

We are seeking a talented and passionate AI/ML Software Developer to join our growing team. You will play a key role in developing and deploying cutting-edge AI and machine learning applications that will drive the success of our business. You will work closely with engineers, data scientists, and product managers to bring innovative ideas to life, from concept to production.

Roles and Responsibilities:

• Design, develop, and deploy production-ready AI and ML applications.
• Collaborate with data scientists to understand data requirements, analyze datasets, and prepare data for model training.
• Select and implement appropriate machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) based on project needs.
• Train, evaluate, and optimize machine learning models to achieve desired performance metrics.
• Develop and integrate AI/ML models into existing software systems and applications.
• Ensure the scalability, reliability, and performance of AI/ML solutions.
• Write clean, maintainable, and well-documented code.
• Stay up-to-date with the latest advancements in AI/ML technologies and best practices.
• Communicate effectively with technical and non-technical stakeholders.

Qualifications:

• Master's degree in Computer Science, Software Engineering, or a related field (Bachelor's degree with significant experience may be considered).
• Proven experience building and deploying production-ready AI/ML applications.
• Strong understanding of machine learning algorithms and frameworks.
• Experience with data preprocessing, feature engineering, and model optimization techniques.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge AI/ML projects with real-world impact.
• Collaborative and supportive work environment.
• Continuous learning and development opportunities.