Responsibilities:

• Work with a cross-functional group leading the front-end engineering projects from design to delivery, ensuring successful execution and outcomes.
• Scope and stage work into well-defined milestones, avoiding monolithic deliverables and ensuring timely progress.
• Identify and proactively address technical debt, maintaining the long-term health and performance of systems.
• Mentor other engineers, providing technical guidance, conducting code reviews, and improving team practices.
• Drive operational excellence, influencing decisions that enhance the scalability and maintainability of our front-end systems.

Requirements & Skills:

• You have 7+ years of experience as a software engineer, with a focus on front-end development, and at least 2+ years in a senior role leading team projects.
• You are an expert in React and TypeScript.
• You have experience with performance optimization techniques and tools to ensure fast load times and smooth interactions.
• You have expertise with frontend build tools and package managers (Eg, webpack, pnpm).
• You demonstrate strong ownership instincts, guiding the design, planning, and execution of large, complex projects.
• You have strong leadership abilities and experience mentoring other engineers and providing technical guidance.

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Responsibilities:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, and approves them with all collaborators.
• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
• Provides estimations, agrees task duration with the manager, and contributes to project plan of assigned area!
• Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
• Leads functional and architectural design of assigned areas. Make sure design decisions on the project meet architectural and design requirements.
• Addresses area-level risks, provides and implements a mitigation plan.
• Reports about area readiness/quality and raises red flags in crisis situations that are beyond their AOR.
• Responsible for resolving crisis situations within their AOR.
• Initiates and conducts code reviews, creates code standards, conventions, and guidelines.
• Suggest technical and functional improvements to contribute to the product;
• Constantly improves their professional level.
• Collaborates with other teams.

Requirements & Skills:

• We are looking for candidates with a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• We are looking for candidates with 2+ years of experience in data analytics, consulting, or a related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g., hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS, or Python
• Proficiency in one or more analytics & visualization tools (e.g., Chartio, Looker, Tableau).
• Experience in building full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
• Outstanding analytical and problem-solving skills.
• Always eager to learn and improve.
• Strong interpersonal and writing skills.

The post Data & AI Engineer – Data Science Engineer, Capgemini appeared first on AI Jobs Latest.

Responsibilities:

• Data Engineering/ETL: Design, develop, and maintain robust ETL pipelines using cloud-based technologies (such as Airflow and PySpark) to extract, transform, and load large and complex datasets.
• Model Development: Build, train, evaluate, and deploy data science models and algorithms to address critical healthcare challenges without supervision.
• Statistical Analysis: Use your expertise to conduct rigorous statistical analyses, including hypothesis testing and A/B testing, to draw meaningful conclusions from data.
• Insight Generation: Uncover actionable insights from complex data, and communicate findings effectively through compelling visualizations and presentations.
• Collaboration: Work closely with cross-functional teams, including pharmacists, analysts, and engineers, to translate business requirements into technical solutions.
• Innovation: Stay abreast of the latest advancements in data science and machine learning, and explore innovative approaches to solve complex problems.
• Take ownership of the development and implementation of complex Data projects, and mentor junior team members.

Requirements & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years of industry experience in building, training, evaluating, and optimizing machine learning models, with a strong focus on model development and deployment.
• 2+ years of industry experience generating actionable insights from data and telling stories from complex data.
• 2+ years of industry experience in statistics, hypothesis testing, A/B testing, and experimental design.
• Solid experience and understanding of data science methods such as Time Series, Regression, Classification, Clustering, Deep learning, NLP, GenAI, etc
• Extensive industry experience in data ETL pipeline automation on cloud-based tools (preferably using AirFlow and PySpark).
• Proficiency in Python, SQL, Pandas, Scikit-Learn, Airflow, and deep learning tools such as Keras or Tensorflow.
• Excellent written and verbal communication skills with the ability to clearly articulate complex ideas in a concise manner
• Understanding the healthcare domain, with a passion and desire to make a positive impact.

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Responsibilities:

• Subject matter expert (SME) for site-based industrial automation systems, including PLCs, HMIs, line-level automation devices, and OT network topology.
• Propose, create and implement new automation projects (including compliance, continuous improvement, and obsolescence) in order to improve company technologies.
• Establish local rules and methodology to ensure secure, reliable, and efficient management of industrial control systems (i.e., governance, cybersecurity, system integration, backup, lifecycle management, and compliance).
• Oversee real-time process control, data collection, and automation reliability.
• Implement and maintain regular cadence with key stakeholders to build strong relationships, align priorities, gaps, and plans.
• Manage and optimize industrial networks (Profinet, Modbus, ethernet/IP) with IT to ensure secure and efficient communication.
• Ensure seamless integration of OT systems with IT-managed platforms like ERP, eBR, SCADA, Active Directory, and Historian.
• Work closely with IT, Maintenance, and Engineering to align and implement cybersecurity and disaster recovery plan (DRP) for production automation systems.
• Support maintenance on the resolution of production automation-related issues to minimize production disruptions.
• Maintain comprehensive documentation of automation control logic, configurations, manuals, specifications, training, and best practices.
• Assist in cross-training of departmental reps to support overall compliance to site’s OT and automation best practices.
• Participate and lead in cross-functional settings on various automation topics: design specification, risk assessment, system review, data integrity, safety, and regulatory compliance for new and existing production equipment.
• Maintain compliance and support implementation with corporate standards for Automation and Control Systems engineering, maintenance, and validation processes.
• Key automation SME in support of Site’s equipment risk registry by ensuring accurate status of the automation risk evaluation for all production equipment.
• Maintain inventory of all active industrial control systems, including HMIs and PLCs for each production equipment.
• Observed and supported all safety guidelines and regulations.
• Followed GMP and regulatory requirements and ensured quality standards were met.
• Models the Company Mission, Vision and Values Statements, policies, and current standard business practices.
• Performs other related duties and or special projects as assigned by the manager.

Requirements & Skills:

• Bachelor’s degree or diploma in Engineering, Automation, Industrial Technology, or a related field
• 5+ years of similar and relevant experience in industrial automation, control systems, or OT environments in regulated industries such as pharmaceutical industry standards (GMP, ICH, validation process, etc).
• Proven ability to read and interpret electrical and control system drawings.
• Hands-on experience with PLC programming (Siemens, Allen-Bradley, etc), HMI development, and SCADA systems.
• Knowledge of industrial control systems’ best practices and IT/OT convergence
• Proficiency in industrial communication protocols (e.g., Profinet, Modbus, OPC).
• Demonstrated ability to identify and mitigate risks associated with assigned projects by developing mitigation plans, following set escalation plans as necessary, and proactively monitoring risks throughout the project.
• Management of medium to large projects that involve complicated control systems.
• Excellent written and verbal communication skills.
• Effective interpersonal skills with the ability to work in a team environment.
• Proven analytical, troubleshooting, and problem-solving skills.
• Ability to work independently in a fast-paced environment.
• Effective organizational, time management, and detail-orientation skills.
• Ability to work with minimal supervision, taking initiative and prioritizing work.
• English business fluency. French and Portuguese are an asset

The post Engineering Automation Specialist, Novocol Pharma appeared first on AI Jobs Latest.

Requirements & Skills:

• Experience building complex and extensible software
• Practical knowledge of data structures and algorithms
• Hands-on experience with C
• Hands-on experience with Python
• Hands-on experience with JavaScript
• Hands-on experience with AWS
• Hands-on experience with React
• Hands-on experience with Android
• Hands-on experience with iOS
• Hands-on experience with CUDA
• Knowledge of deep learning

The post Software Engineer, Picovoice Inc. appeared first on AI Jobs Latest.

Responsibilities:

• Cultivate a deep understanding of the portfolio of machine learning components we utilize, including AI, Gen AI, and LLMs, along with their respective strengths and weaknesses, to provide solutions to existing and future challenges.
• Lead the technical architecture for machine learning components and cross-functional ML teams, ensuring integration with advanced AI technologies.
• Define the long-term vision for your team, aligning with the company’s strategic and tactical goals, with a focus on machine learning and AI initiatives.
• Translate project goals and product roadmaps into organized technical tasks, collaborating with other EMs to ensure alignment.
• Guide the team to improve our AI and ML components, ML Ops, and processes through your knowledge of industry trends and tools, along with your own experiences.
• Provide guidance and direction to the ML development team to remove obstacles and keep initiatives on target and moving forward.
• Coach and mentor developers in the team through technical design sessions, code reviews, and pair programming, with an emphasis on machine learning and AI practices.
• Provide technical guidance and support in resolving critical production issues, particularly those related to machine learning and AI.
• Collaborate with business and product stakeholders to successfully deliver new machine learning and AI features and capabilities.
• Construct design documents and documentation to aid in maintenance and code reuse, particularly for machine learning and AI systems.
• Have one-on-one meetings with your team members.
• Conduct performance reviews and set accountability for team members.

Requirements & Skills:

• Minimum of 5-7 years in software development, including substantial AI/ML experience.
• Several years in a leadership role, managing and mentoring teams of engineers and data scientists.
• Proven track record in managing complex projects, including planning, execution, and delivery.
• Experience working closely with product managers, data scientists, and other stakeholders.
• Deep understanding of machine learning algorithms, frameworks (e.g., TensorFlow, PyTorch), and programming languages (e.g., Python, Java).
• Strong knowledge of AI/ML concepts, including advanced technologies like Gen AI, LLMs, and semantic search.
• Expertise in data handling, preprocessing, and pipeline development, with proficiency in SQL/NoSQL databases.
• Ability to analyze large datasets, identify trends, and evaluate model performance using various metrics.
• Strong understanding of security architecture and data privacy regulations, ensuring compliance with industry standards.
• Ability to solve complex technical problems and drive innovation with a continuous learning mindset.
• Practical experience in the production implementation of high-availability AI/ML systems, ensuring reliability and scalability.
• Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.
• Ability to adapt to changing technologies and business requirements, fostering a positive and inclusive team culture.

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