Production Operator Jobs

Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed safely, reliably, and at scale. In this role, you will create the end-to-end capabilities required to move models from experimentation into production, expose them through secure and highly available endpoints, and enable users and applications to interact with AI-powered services. You will work across AWS and Databricks to establish robust CI/CD pipelines, model-serving infrastructure, observability, governance, rollback mechanisms, and operational standards. You will partner closely with data scientists, machine learning engineers, software engineers, security teams, and platform engineers. The ideal candidate combines strong cloud and DevOps engineering skills with a practical understanding of machine learning systems, LLM deployment patterns, and production reliability. Key Responsibilities MLOps Platform and Architecture Design and implement a scalable MLOps platform using AWS and Databricks. Define reference architectures and reusable deployment patterns for traditional machine learning models, deep learning models, and large language models. Build standardized workflows that move models from development and validation into staging and production. Develop self-service capabilities that allow data scientists and ML engineers to deploy models without manually managing infrastructure. Establish clear separation between development, testing, staging, and production environments. Design multi-region or multi-availability-zone architectures where required by business continuity and availability objectives. CI/CD and

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

Become a part of our caring community You have shipped AI products before. You understand the difference between a demo and a production system. You have strong opinions about evaluation frameworks because you have experienced the consequences of operating without them. You are at your best when you own architecture decisions while continuing to build and deliver critical code yourself. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to source documents, and route complex cases to human experts. The output of these systems supports healthcare decisions that impact real members. As a Lead AI Applied Engineer, you will provide technical leadership for AI-enabled products and platforms, define architectural direction, establish engineering standards, and personally design and build the most critical components of our systems. You will lead through both technical expertise and execution, helping the team deliver reliable, scalable, and auditable AI solutions in a highly regulated healthcare environment. Why Join Us Lead the architecture of production AI systems where LLMs are foundational to the product experience. Make key technical decisions regarding model selection, system boundaries, platform architecture, and build-versus-buy strategies. Own the highest-risk and highest-impact technical challenges involving reliability, explainability, and correctness. Influence engineering culture and establish standards that shape how the team builds and ships AI products. Work on systems operating at meaningful scale, processing millions of documents and supporting healthcare decisions across a large member population. Partner

The job purpose for a Shift Engineer - Cluster - Wafer in I&W Maintenance in solar manufacturing is to ensure the efficient operation of wafer production processes, uphold quality standards, minimize downtime, and enforce safety protocols, thereby supporting continuous and reliable production of wafers essential for solar panel manufacturing. Source: Adani Group | Job ID: 56202

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operati

Location Details: At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ Remote: This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. About the Team Global Compute builds and operates the core cloud infrastructure that engineering teams rely on every day. We provision and manage AWS accounts across the company, operate the network backbone that connects them, and maintain the security guardrails that keep those environments safe, compliant, and scalable. We believe reliability is an engineering challenge, not an operations task. We automate repetitive work, build for scale before it becomes a problem, and invest heavily in observability to identify issues before they impact the business. What you'll get to do... Operate and scale AWS production infrastructure, owning the health of services that provision, secure, and manage accounts across GoDaddy AWS organisations. Design, build, and maintain cloud platform capabilities using Python, CloudFormation, AWS CDK, and automation-first practices. Drive cost optimisation initiatives that improve efficiency and deliver measurable business impact. Improve observability through monitoring, alerting, dashboards, and operational tooling. Participate in on-call rotations, lead incident response efforts, and drive long-term reliability improvements through blameless post-incident reviews. Support strategic AWS initiatives across networking, identity, governance, and multi-account architecture. Review code and designs, contribute documentation and operational runbooks, and mentor fellow engineers. Leverage AI-assisted tooling to improve engineering productivity, accelerate automation, and reduce operat

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you’ll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. As a Site Reliability Engineer II, you’ll help us balance development velocity with the reliability our customers depend on. You’ll work with engineering teams to implement how their services are measured, investigate production issues across the stack, and turn what you learn into automation, tooling, and documentation that improves reliability. You’ll use agentic development tools as part of your everyday practice, delegating well-bounded tasks, verifying the output, and contributing to the shared context that makes AI effective for the whole team. This is a hands-on individual contributor role at the intersection of Engineering, Product, Customer Success and Technical Support, where you’ll take ownership of part of your team’s systems, deliver reliability improvements end-to-end within your team and grow toward broader influence. This role if offered as remote in Australia. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. We are only able to accept applications for those based in Australia and unrestricted work rights in Australia. At this time, we are unable to offer employer sponsorship or support employer-administered work authorisation for this position. # LI -Remote What you can expect to d

NVIDIA is hiring an NCX Senior Engineer who is passionate about NVIDIA Cloud Partner (NCP) infrastructure operations to join our DSX team. This role involves working closely with strategic NVIDIA Cloud Partners to build and improve the operational capabilities essential for running large-scale NVIDIA accelerated infrastructure reliably in production. Your role involves guiding partners beyond the initial cluster deployment and validation phase into advanced Day 2 operations. These operations cover ongoing infrastructure health, observability, lifecycle management, quick remediation, performance validation, and operational readiness. You will engage directly with partner engineering and operations teams to develop consistent approaches that support NVIDIA workloads and the broader external customer environments of the partners. This is a highly technical, hands-on role at the intersection of NVIDIA accelerated computing, cloud infrastructure, distributed systems, and production operations. What you'll be doing: Lead NCP Day 2 operational readiness efforts. Collaborate directly with NVIDIA Cloud Partners to set up the systems, procedures, automation, and operational methods necessary to consistently manage NVIDIA accelerated infrastructure following initial deployment and activation. Build continuous infrastructure validation. Develop and implement methods to continuously validate GPU, CPU, storage, and network health. Do this across large-scale AI clusters to identify degraded infrastructure before it impacts critical training or inference workloads. Establish observability and operational telemetry. Help NCPs implement comprehensive telemetry, monitoring, alerting, dashboards, and operational signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads. Devel

As a Product Marketing Manager for NVIDIA NIM, you will play a pivotal role in helping enterprises deploy AI. NVIDIA NIM is revolutionizing AI from experimentation to production, packaging optimized, production-ready models for rapid deployment. Our product marketing team operates at the intersection of developer tooling and enterprise go-to-market, ensuring that our narrative resonates with ML engineers and CTOs alike. If you relish diving into technical depth and translating it into compelling stories, this is the perfect opportunity! What you will be doing: Launching products: You'll build and manage launch plans for high-visibility NIM releases, coordinating assets, timelines, keynote slides, demos, and press materials while driving cross-functional execution with product management, engineering, technical marketing, and PR or equivalent experience. You'll align the team on messaging and positioning for NIM across developer and enterprise audiences. You will develop messaging docs, sales enablement materials, customer presentations, solution overviews, and web content. Driving awareness: You'll identify target audiences and content gaps, then build the assets that fill them — blogs, webinars, demos, solution briefs, and more. Crafting the ecosystem story: You'll drive co-marketing engagements with NVIDIA's model providers, cloud partners, and ISV ecosystem to showcase the full range of possibilities with NIM. Collaborating with PR: You'll work with PR on press launches to ensure the NIM story is accurate, compelling, and consistent across every channel. What we need to see: Excellent written and verbal communication skills, with a proven track record of articulating technical value to both developer and executive audiences. College degree or equivalent experience. More t

The Area Incharge is responsible for supervising shop floor activities related to wind turbine blade manufacturing, ensuring that production schedules and quality standards are met. This role oversees material handling, equipment operation, and maintenance, while implementing process improvements and safety protocols. Additionally, the Area Incharge tracks production performance, provides training, and supports continuous improvement to enhance efficiency and minimize waste. Source: Adani Group | Job ID: 56862

URGENT HIRING ITI Fabricator Mechanical Fabrication Welder JP Nagar, Bangalore Recruitment Partner: IDEAL CAREER ZONE A reputed manufacturing company is urgently hiring ITI Fabricators and Mechanical Fabrication Welders for its production team at JP Nagar, Bangalore. Job Details • Position: ITI Fabricator / Mechanical Fabrication Welder • Industry: Manufacturing • Job Type: Full-Time • Location: JP Nagar, Bangalore • Vacancies: 5 • Gender: Male Candidates Only • Experience: 0 4 Years (Freshers can also apply) • Education: All Education Levels (ITI/Mechanical Trade Preferred) Salary & Benefits • Salary: 18,000 22,000 per month (In-hand) • Performance Incentives • Free Meal • Insurance Coverage • Day Shift • Long-term Career Growth Working Hours • Shift: Day Shift • Timing: 09:00 AM 06:00 PM • Working Days: 6 Days a Week Key Responsibilities • Perform structure fabrication and welding work • Operate and monitor manufacturing equipment • Assemble, inspect and pack products as per quality standards • Carry out preventive maintenance of machinery and tools • Maintain production records and tool inventory • Follow all safety and quality procedures • Support production and fabrication improvement activities Required Skills • Structure Fabrication • Arc/MIG Welding • Mechanical Fabrication • Machine Handling • Preventive Maintenance • Teamwork and Safety Awareness Eligibility • Freshers and experienced candidates (0 4 years) • ITI Fabrication, Welder, Fitter or Mechanical candidates preferred • Physically fit and willing to work in a manufacturing environment • Male candidates only Apply Now Office Address: 128/12A, Bidhan Sarani, Shyambazar Metro Gate No. 1, Inside Gandhi Market, Sajjy Dham, Kolkata 700004 You can also check updates on Google and social media: IDEAL CAREER ZONE Interested candidates can send their updated CV via WhatsApp: Contact (HR): 9231799122 Contact (HR): +91 8777211016 Contact (HR): +91 9331205133 Call Timing: 10:00 AM 8:00 PM Visit Timing: 12:00 PM

We are looking for a Maintenance Technician to join our team at Trucut Precision Tools Private Limited. The role involves operating machinery, assembling products and maintaining quality standards on the production floor. This position offers an in-hand salary of 18000 - 25000 and an opportunity to be part of a growing and essential industry. Job Responsibilities • Assist in the preventive and breakdown maintenance of production machines. • Support installation, repair, and servicing of machinery and equipment. • Inspect machines regularly and report any abnormalities. • Assist in maintaining electrical and mechanical systems. • Ensure proper maintenance records are updated. • Follow safety procedures and maintain a clean work environment. • Coordinate with the production team to minimize machine downtime. • Perform any other maintenance-related tasks assigned by the Maintenance In-Charge. Required Skills • Basic knowledge of mechanical and electrical maintenance. • Ability to use hand tools and measuring instruments. • Good troubleshooting and problem-solving skills. • Willingness to work in shifts, if required. • Positive attitude and eagerness to learn. Job Requirements: The minimum qualification for this role isDiplomaand1 - 5 years of experiencein manufacturing or a related field. Attention to detail, physical stamina and ability to follow instructions are very important for this role.

Job Title - Merchandiser (Apparel & Textiles) Location - Jaipur, Rajasthan Job Type - Full Time, Work from Office Job Summary We are looking for a detail-oriented and proactive Merchandiser to join us. The job would entail overseeing production coordination, inventory planning and product development. Key Responsibilities • Monitor stock levels, WIP (work-in-progress), and finished goods. • Maintain detailed reports on production status and inventory flow. • Communicate with vendors, printers, dyers, and tailors to ensure production timelines are met. • Track fabric, trims, and accessory procurement. • Conduct quality checks during various stages of production. • Build and maintain strong relationships with suppliers, artisans, and manufacturing partners. • Coordinate with warehouse teams for dispatches and replenishments. Skills & Qualifications • Bachelor’s degree (Preference in - Fashion Design, Textile Technology, Merchandising, or related field.) • Excellent communication and vendor-management skills. • Proficiency in Excel and Google Sheets for production tracking. • Detail-oriented, organised, and good at multitasking.

Dear Candidate We have immediate vacancies for the post of Chemist, Microbiologist, Production, Quality Assurance, Quality Control, Regulatory Affairs, R & D, Pharma, Research Associate, Lab Asst. Qualification : BSc / MSc Freshers and Experienced Salary : 4 Lakhs Per Annum to 9 LPA Contact Mr Vasanth Managing Director 7353549756 / 8722187029 Karnataka Information Solution No.6, Basement Floor, ASVNV Bhavan, Opp State Bank Of India, K.G Road, Majestic, Bangalore - 09 PH : 080 - 22260106.

Job description Requirements:Proven experience in quality control within a printing press environment.Strong attention to detail and ability to detect defects.Knowledge of printing processes and materials.Excellent communication and reporting skills.Ability to work in a fast-paced production environment.Benefits:Competitive salary (300 KD)Opportunity to work in a professional and dynamic environment in Kuwait.