Preferred from Startup/Mid level company
Artelus is at the forefront of revolutionizing healthcare with cutting-edge AI and portable
medical devices designed to diagnose retinal abnormalities.
With a mission to democratize healthcare, we aim to make it accurate, affordable,
accessible, and available globally.
Join us in our journey to create a world without blindness.
Job Description (Responsibilities):
1. *Technical Skills
1.
>Understanding of Software Development and Infrastructure: Knowledge of
programming languages, APIs, databases, and software development lifecycle (SDLC)
methods such as Agile, Scrum, and Waterfall.
1.Machine Learning and Data Science Fundamentals:
Basic understanding of machine learning concepts, model lifecycle management, data
preprocessing, model evaluation metrics, and common frameworks (e.g., TensorFlow, PyTorch)
1. >System Architecture and Design: Ability to understand and guide high-level system
designs and architectures.
1. >Medical Device Standards and Regulations: Familiarity with regulations like ISO
13485 for medical device quality management, ISO 14971 for risk management, and
FDA or CE marking processes for medical devices.
1. >Product Knowledge: In-depth understanding of the specific technology or domain
they’re working within, such as cloud computing, AI, or cybersecurity.
1. >Tools Proficiency: Familiarity with project management tools (e.g., JIRA, Asana, MS
Project), as well as DevOps tools for CI/CD pipelines, version control, and
collaboration.
1.
2. Project Management Skills:
1. >Project Planning and Execution: Competence in creating project timelines, resource
allocations, budgets, and monitoring progress.
1. >Testing and Validation: Ability to oversee rigorous testing, validation, and
verification phases, ensuring the device/software meets clinical and quality standards.
1. >Risk Management: Ability to identify, analyze, and mitigate risks, as well as
troubleshoot issues as they arise.
1. >Scope and Requirement Management: Skill in defining project scope, managing
requirements, and handling scope changes effectively.
1. >Resource Management: Experience in allocating and managing resources, balancing
workload, and optimizing productivity.
1. >Documentation and Traceability: Meticulous documentation practices to meet
regulatory compliance for traceability, risk assessments, and audit readiness.
1. >Data and Model Governance: Knowledge of governance practices specific to
machine learning, including data lineage, privacy requirements (e.g., HIPAA, GDPR),
and version control for datasets and models.
1.
1. 3. Communication Skills:
1. >Stakeholder Communication: Ability to communicate effectively with various
stakeholders, including technical teams, executives, and clients, translating technical
details into clear updates.
1. >Cross-Functional Collaboration: Skill in fostering collaboration between different
teams, such as development, QA, design, and operations.
1. >Conflict Resolution: Techniques to mediate and resolve conflicts, especially when
teams have competing priorities.
1. 4. Analytical and Problem-Solving Skills:
1. >Critical Thinking: Analyzing complex situations, weighing various factors, and making
informed decisions.
1. >Data-Driven Decision Making: Use of data to measure progress, make adjustments,
and ensure project milestones are met.
1. >Adaptability: Quick assessment and response to changing project demands or
technology advancements.
1. 5. Leadership and Team Management:
1. >Motivation and Delegation: Ability to motivate team members, delegate tasks
effectively, and foster a collaborative environment.
1. >Performance Management: Setting team goals, evaluating, and providing
constructive feedback.
1. >Empathy and Emotional Intelligence: Understanding and managing team dynamics,
especially in high-stress environments.
1. >Compliance and Quality-Centric Culture: Creating a culture of compliance and
continuous quality improvement in line with medical device standards.
1. 6. Budgeting and Cost Management:
1.
1. >Financial Planning: Experience with budget estimation, tracking costs, and managing
project budgets within constraints.
1. >Cost-Benefit Analysis: Skill in assessing project investments versus returns,
optimizing resource allocation for cost efficiency.
1. > Knowledge of Compliance and Standards
1. >Regulatory Compliance: Familiarity with compliance standards relevant to the
project, like ISO, GDPR, HIPAA, or industry-specific certifications.
1. >Quality Assurance: Ensuring deliverables meet specified quality standards and
are aligned with best practices.
7. Knowledge of Compliance and Standards
1. Regulatory Compliance: Familiarity with compliance standards relevant to the
project, like ISO, GDPR, HIPAA, or industry-specific certifications.
1. Quality Assurance: Ensuring deliverables meet specified quality standards and are
aligned with best practices.
Educational Qualification- Bachelor's Degree/Master's degree in computer science,
Engineering, Information Technology, or a related field.
Experience- 8 to 10 Years of experience
Salary- As per the market Standard
Preferred candidate- Candidate who wanted to shift to Kolkata/Candidate who has experience
at a Startup or working at a Startup Company currently.
Bachelor degree
Preferred from Startup/Mid level company
Artelus is at the forefront of revolutionizing healthcare with cutting-edge AI and portable
medical devices designed to diagnose retinal abnormalities.
With a mission to democratize healthcare, we aim to make it accurate, affordable,
accessible, and available globally.
Join us in our journey to create a world without blindness.
Job Description (Responsibilities):
1. *Technical Skills
1.
>Understanding of Software Development and Infrastructure: Knowledge of
programming languages, APIs, databases, and software development lifecycle (SDLC)
methods such as Agile, Scrum, and Waterfall.
1.Machine Learning and Data Science Fundamentals:
Basic understanding of machine learning concepts, model lifecycle management, data
preprocessing, model evaluation metrics, and common frameworks (e.g., TensorFlow, PyTorch)
1. >System Architecture and Design: Ability to understand and guide high-level system
designs and architectures.
1. >Medical Device Standards and Regulations: Familiarity with regulations like ISO
13485 for medical device quality management, ISO 14971 for risk management, and
FDA or CE marking processes for medical devices.
1. >Product Knowledge: In-depth understanding of the specific technology or domain
they’re working within, such as cloud computing, AI, or cybersecurity.
1. >Tools Proficiency: Familiarity with project management tools (e.g., JIRA, Asana, MS
Project), as well as DevOps tools for CI/CD pipelines, version control, and
collaboration.
1.
2. Project Management Skills:
1. >Project Planning and Execution: Competence in creating project timelines, resource
allocations, budgets, and monitoring progress.
1. >Testing and Validation: Ability to oversee rigorous testing, validation, and
verification phases, ensuring the device/software meets clinical and quality standards.
1. >Risk Management: Ability to identify, analyze, and mitigate risks, as well as
troubleshoot issues as they arise.
1. >Scope and Requirement Management: Skill in defining project scope, managing
requirements, and handling scope changes effectively.
1. >Resource Management: Experience in allocating and managing resources, balancing
workload, and optimizing productivity.
1. >Documentation and Traceability: Meticulous documentation practices to meet
regulatory compliance for traceability, risk assessments, and audit readiness.
1. >Data and Model Governance: Knowledge of governance practices specific to
machine learning, including data lineage, privacy requirements (e.g., HIPAA, GDPR),
and version control for datasets and models.
1.
1. 3. Communication Skills:
1. >Stakeholder Communication: Ability to communicate effectively with various
stakeholders, including technical teams, executives, and clients, translating technical
details into clear updates.
1. >Cross-Functional Collaboration: Skill in fostering collaboration between different
teams, such as development, QA, design, and operations.
1. >Conflict Resolution: Techniques to mediate and resolve conflicts, especially when
teams have competing priorities.
1. 4. Analytical and Problem-Solving Skills:
1. >Critical Thinking: Analyzing complex situations, weighing various factors, and making
informed decisions.
1. >Data-Driven Decision Making: Use of data to measure progress, make adjustments,
and ensure project milestones are met.
1. >Adaptability: Quick assessment and response to changing project demands or
technology advancements.
1. 5. Leadership and Team Management:
1. >Motivation and Delegation: Ability to motivate team members, delegate tasks
effectively, and foster a collaborative environment.
1. >Performance Management: Setting team goals, evaluating, and providing
constructive feedback.
1. >Empathy and Emotional Intelligence: Understanding and managing team dynamics,
especially in high-stress environments.
1. >Compliance and Quality-Centric Culture: Creating a culture of compliance and
continuous quality improvement in line with medical device standards.
1. 6. Budgeting and Cost Management:
1.
1. >Financial Planning: Experience with budget estimation, tracking costs, and managing
project budgets within constraints.
1. >Cost-Benefit Analysis: Skill in assessing project investments versus returns,
optimizing resource allocation for cost efficiency.
1. > Knowledge of Compliance and Standards
1. >Regulatory Compliance: Familiarity with compliance standards relevant to the
project, like ISO, GDPR, HIPAA, or industry-specific certifications.
1. >Quality Assurance: Ensuring deliverables meet specified quality standards and
are aligned with best practices.
7. Knowledge of Compliance and Standards
1. Regulatory Compliance: Familiarity with compliance standards relevant to the
project, like ISO, GDPR, HIPAA, or industry-specific certifications.
1. Quality Assurance: Ensuring deliverables meet specified quality standards and are
aligned with best practices.
Educational Qualification- Bachelor's Degree/Master's degree in computer science,
Engineering, Information Technology, or a related field.
Experience- 8 to 10 Years of experience
Salary- As per the market Standard
Preferred candidate- Candidate who wanted to shift to Kolkata/Candidate who has experience
at a Startup or working at a Startup Company currently.