11+ matplotlib Jobs in Coimbatore | matplotlib Job openings in Coimbatore
Apply to 11+ matplotlib Jobs in Coimbatore on CutShort.io. Explore the latest matplotlib Job opportunities across top companies like Google, Amazon & Adobe.
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of SQL,Python,R,ggplot2, matplotlib, seaborn, Shiny, Dash; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks
- Analytical mind and business acumen
- Strong math skills in statistics, algebra
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BE in Computer Science, Engineering or relevant field;
- graduate degree in Data Science or other quantitative field is preferred
Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
1. Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
2. Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Why you’ll love being a ‘Searcian’
NOT your ‘usual’ management consultancy; we ‘solve differently’.
- We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
- The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
- No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
- No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
- No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
- Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
- Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
- Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
- You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
- Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)
Join the ‘real solvers’
ready to futurify?
If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.
Key Responsibilities
1. Patient Care
- Provide basic nursing care to patients at home.
- Monitor and record vital signs such as temperature, pulse, respiration, and blood pressure.
- Assist patients with daily living activities including bathing, feeding, grooming, and mobility.
- Maintain patient hygiene and comfort.
2. Clinical Support
- Assist doctors or registered nurses in basic medical procedures.
- Administer medications as prescribed under supervision.
- Perform basic procedures such as dressing wounds, catheter care, and injections (if permitted).
- Maintain infection control and hygiene protocols.
3. Patient Monitoring
- Observe patient conditions and report any changes to the supervising nurse or doctor.
- Maintain daily patient care records and reports.
- Support rehabilitation and recovery processes.
4. Patient & Family Support
- Educate patients and family members on basic home care and hygiene practices.
- Provide emotional support to patients and caregivers.
- Assist family members in understanding medication schedules and care routines.
5. Compliance & Documentation
- Maintain accurate patient documentation and treatment records.
- Follow hospital/home healthcare policies and clinical protocols.
- Ensure patient confidentiality and ethical practices.
Qualification
- ANM (Auxiliary Nurse Midwife) Certification from a recognized institution.
- Valid nursing registration (if applicable as per state norms).
Experience
- 0–3 years of experience in hospitals, clinics, or home healthcare services preferred.
- Freshers with clinical training may also apply.
Skills Required
- Basic nursing and patient care skills
- Good communication and interpersonal skills
- Ability to work independently in home settings
- Compassion, patience, and empathy
- Basic documentation and reporting skills
We are looking for an SAP MM Consultant to manage procurement, inventory, and material master data processes. The role includes system configuration, support, and integration with other SAP modules.
- We are hiring a Sales Intern for CloudApex, the AWS certification solution by Gencanyon Technologies Private Limited.
- The role involves lead generation, customer outreach, product pitching, follow-ups, and supporting sales conversion for our AWS certification offering.
- The ideal candidate should have strong communication skills, interest in sales, and the ability to work in inside sales, tele-sales, field sales, and business development activities.
- Experience or interest in technical sales, edtech subscriptions, and certification programs will be an added advantage.
- Performance-based allowance will be provided based on sales achieved.
Job Title: Full stack Developer
Location: Coimbatore
Job Type: Full Time
Experience Level: 5-8 Years

at KGiSL Educational Institutions
Company Description
KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.
Role Description
This is a full-time on-site role for an Assistant Professor in the Computer Science and Engineering (CSE) department. Located in Coimbatore, the Assistant Professor will be responsible for teaching undergraduate and graduate courses, guiding student projects, and conducting research. Day-to-day tasks will include preparing lecture materials, evaluating student performance, mentoring students, and participating in faculty meetings. The role also involves contributing to curriculum development and engaging in departmental activities.
Qualifications
Strong knowledge in Computer Science and Engineering subjects
Experience in teaching at the undergraduate and graduate levels
Research skills and the ability to guide student projects
Excellent written and verbal communication skills
Proficiency in curriculum development and academic assessment
Master's degree in Computer Science, Engineering, M.Tech or a related field
Experience in the use of digital tools and teaching technologies is an advantage
Commitment to continuous improvement and professional development
- Conduct lectures, labs, and tutorials for undergraduate and postgraduate courses in Computer Science & Engineering (e.g., Data Structures, Algorithms, AI, ML, OS, DBMS).
- Prepare course materials, assessments, and syllabi in line with university guidelines.
- Mentor students on academic and project-related work.
- Use innovative teaching methods including online tools, coding platforms, or industry-based case studies.
To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.
We are looking "ERP Functional Consultant" for Reputed Client @ Permanent Role.
Experience: 2-6 Yr
• Analyze business processes and provide solutions using ERP systems.
• Gather customer requirements and conduct gap analysis.
• Any ERP package implementation experience and understanding of business processes.
• Perform system configuration, installation, data migration and testing.
• Provide user training and support.
• Coordinate with Technical Team on solution design, programming and validation.
• Has a good understanding of business application concepts and terminologies.
• Has ability to take ownership, accountability and initiative.
• Has excellent problem solving skills.
• Effective time management skills.
• Willing to travel will be an added advantage.
• Should have good communication in Hindi,English
Role Description:
- Lister is actively engaged with client across digital transformation and engineering
- As a part of this engagement, you will be working with our clients on solution design and architecture, technology decisions, while co-ordinating technical efforts for the team
- As a Technical Lead:, You will need to collaborate with Solution Architects define technology
- roadmap, evaluate/recommend technologies, architect and design solutions, Work
- with other developers to oversee the development and implementation
- You will translate functional requirements from business stakeholders to the technical
- team for implementation
- You will need to troubleshoot design flaws and system bottlenecks
- You will have to be hands-on with code reviews and evaluate implementation for performance and scale
- Manage communication between our clients and internal teams in India and USA
- Coordinate with the offshore team to deliver projects across work streams, Identify risks, issues and blockers to progress and mitigate them for the team
- Rapidly gain an understanding of project requirements and drive execution
- Work with delivery team to ensure the highest quality of materials are being produced and all client needs are met.
Skills Required:
- Excellent understanding of backend and frontend components in the following stack: NodeJS, TypeScript, Javascript, ReactJS, multiple RDBMS and NoSQL databases like Postgres, MySQL, MongoDB Experience of working on AWS services (Lambda, Step functions, SQS, S3 SNS)
- Microservice design pattern is a must
- Experience in Docker, Kubernetes, containerization and CI/CD pipelines is preferable
- Experience in software development tools like Prettier, CodeCov, Snyk, etc..
- Excellent verbal and written communication skills; client facing and interpersonal skills; must be a listener, a presenter, and a people-person
- Experience in Designing scalable architecture systems for Node-based applications
- Ability to grasp complex implementations; Proven results of delivering client solutions
- Should have experience of working with offshore team
- Experience in working on large scale technology transformation projects for product companies is preferable
- Technology contributions to open source projects will be an added advantage
- Should have completed Certifications or training on AWS (AWS Solutions Architect), NodeJS, front-end frameworks.







