1,657 Production Engineer Jobs in Hyderabad

Fill below mandatory link.  MLops-virtual interview with Capgemini--all locations, Monday 27th Oct 2025 Fill out form   Position: - Machine Learning Ops Harvest Level: Software Engineer  Job Description:    Machine Learning Ops Engineer is the one whos responsible for managing and optimizing the deployment and operation of machine learning models in production environments. He/she works closely with data scientists, software engineers, and DevOps teams to ensure that machine learning models are integrated seamlessly into existing systems and can scale effectively. Role & Responsibilities Responsible for design and implementation of secure and scalable infrastructure in Azure cloud. Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects. Own and automate the infrastructure provisioning, demand forecasting and capacity planning. Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability. Setting up the alerts and monitoring for the platform. Monitoring system, application health, security controls and cost Envision, implement and rollout best MLOPs/DevOps tools and automation.  Requirements: Strong understanding of concepts related to Machine Learning, Architecture, and MLOps practices. Proficient in Azure Cloud practices and managing Azure Kubernetes Service infrastructure. Hands on experience in Python or any other scripting languages (Groovy, Shell) Experience with monitoring tools. Hands-on experience in Docker, Kubernetes. Excellent experience with source code management tools (git) Experience with modern cloud development practices such as Microservices Architecture, REST Interfaces etc. Experience in implementing Data/Model drift. Strive for Continuous Improvement and build continuous integration, continuous development, and constant deployment pipeline. Excellent Troubleshooting skills Always ready to learn more and adopt new cutting-edge technology with right value proposition.  

Cybersecurity Professional Experience Level: 3-10 Years Employment Type: Full-Time About the Role We are seeking an experienced Cybersecurity Professional to join our security team and help protect our organization's critical assets, infrastructure, and data. The ideal candidate will have a proven track record in identifying vulnerabilities, implementing security controls, and responding to security incidents. Key Responsibilities Security Operations: Monitor, detect, and respond to security incidents and threats across the organization's infrastructure Vulnerability Management: Conduct regular security assessments, penetration testing, and vulnerability scans; remediate identified risks Security Architecture: Design and implement security solutions including firewalls, IDS/IPS, SIEM, EDR, and other security tools Incident Response: Lead incident response activities, perform root cause analysis, and develop remediation strategies Compliance & Governance: Ensure compliance with security standards (ISO 27001, NIST, PCI-DSS, GDPR, SOC 2) and industry best practices Security Awareness: Develop and deliver security training programs to enhance organizational security posture Threat Intelligence: Stay current with emerging threats, vulnerabilities, and attack vectors; implement proactive defense measures Policy Development: Create and maintain security policies, procedures, and documentation Required Qualifications Education: Bachelor's degree in Computer Science, Information Security, or related field Experience: 3-10 years of hands-on experience in cybersecurity roles Technical Skills: Strong knowledge of network security, application security, and cloud security (AWS/Azure/GCP) Experience with security tools (SIEM, IDS/IPS, firewalls, antivirus, DLP) Proficiency in security frameworks and standards Understanding of operating systems (Windows, Linux, Unix) and network protocols Experience with scripting/programming (Python, PowerShell, Bash) Certifications: One or more relevant certifications such as CISSP, CEH, CISM, CompTIA Security+, GIAC, or equivalent Preferred Qualifications Experience with cloud security and DevSecOps practices Knowledge of threat hunting and malware analysis Familiarity with zero trust architecture Experience in regulated industries (finance, healthcare, government) Strong analytical and problem-solving abilities Excellent communication and stakeholder management skills What We Offer Competitive salary and performance bonuses Comprehensive health and wellness benefits Professional development and certification support Flexible work arrangements Cutting-edge security tools and technologies Collaborative and innovative work environment To Apply: Submit your resume and cover letter detailing your cybersecurity experience and achievements.

Job Description: Viprata Software Services Pvt Ltd is looking for an AI / ML Engineer to work on machine learning and AI-based solutions for our projects and clients. The candidate will be involved in data preparation, model development, evaluation, and deployment in collaboration with our development team. Key Responsibilities: Develop and train ML / Deep Learning models using Python. Perform data cleaning, preprocessing, and feature engineering. Evaluate models and improve accuracy and performance. Deploy models as APIs / services and support integration. Prepare documentation for models and workflows. Key Skills: Python, Pandas, NumPy, Scikit-Learn Knowledge of TensorFlow / Keras / PyTorch Understanding of ML algorithms & statistics Basic SQL, Git, REST API knowledge Good analytical and communication skills Qualification: 2024-2025 Passed Out B.E / B.Tech  in Computer Science / IT / AI / Data Science or related field.

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Epic Software Engineer Budget : 150000/month Remote*  About the role Our client is hiring an Epic Software Engineer to build and integrate apps that run inside Epic and connect with a patient services platform. You will design secure, scalable workflows for enrollment, consent, surveys, provider updates, and analytics using Epic APIs, SMART on FHIR, HL7 v2, and modern web technologies.  4+ years of professional software engineering experience, with at least 2 years in healthcare integrations or EHR app development. Hands-on experience with Epic APIs, SMART on FHIR app development, and FHIR resource modeling. Strong proficiency with web development using JavaScript or TypeScript, React, and HTML/CSS. Proficiency building RESTful APIs and JSON contracts, including request validation, versioning, and backward compatibility strategies. Practical knowledge of HL7 v2 segments, message types, ACK handling, and interface engines. Experience implementing OAuth2.0; familiarity with SAML for enterprise SSO. Solid backend skills in Node.js or PHP; experience with C#/.NET or Java/Kotlin is a plus. SQL expertise with PostgreSQL or MS SQL, including schema design and query tuning. Docker-based development and AWS deployment experience.  Preferred qualifications Experience publishing Epic apps through Epic programs and working with Epic client teams for onboarding. Familiarity with interface engines such as Mirth, Rhapsody, or Cloverleaf. Knowledge of consent frameworks, TCPA considerations for SMS, and de-identification techniques. Experience with SFTP-based data exchange at scale, checksum validation, and idempotent ingestion design. CI/CD with GitHub Actions, GitLab CI, or similar, plus infrastructure as code on AWS. Observability with tools such as CloudWatch, OpenTelemetry, or Datadog. Tableau or analytics pipeline experience for clinical or brand reporting. Mobile development exposure in Swift or Objective-C for iOS and Java or Kotlin for Android for companion apps.  

GenAI-Based AI Engineer - Full Stack Development Position Overview We are seeking a talented GenAI-Based AI Engineer with full-stack development expertise to design, develop, and deploy cutting-edge generative AI applications. The ideal candidate will bridge the gap between AI/ML capabilities and production-ready applications, leveraging Python across the entire stack. Key Responsibilities AI/ML Development Design and implement generative AI solutions using LLMs (GPT, Claude, Llama, etc.) Develop and fine-tune language models for specific use cases Build RAG (Retrieval-Augmented Generation) systems and vector databases Implement prompt engineering strategies and optimization techniques Create AI agents and multi-agent systems for complex workflows Integrate various AI APIs and services (OpenAI, Anthropic, Hugging Face, etc.) Backend Development Build scalable Python-based backend services using FastAPI, Flask, or Django Design and implement RESTful APIs and GraphQL endpoints Develop microservices architecture for AI model deployment Implement authentication, authorization, and security best practices Optimize API performance and implement caching strategies Manage database design and operations (PostgreSQL, MongoDB, vector databases) Frontend Development Develop responsive web interfaces using modern frameworks (React, Vue.js, or Streamlit) Create intuitive UIs for AI-powered applications Implement real-time features using WebSockets Build interactive data visualizations and dashboards Ensure cross-browser compatibility and responsive design MLOps & Deployment Deploy and monitor AI models in production environments Implement CI/CD pipelines for ML applications Containerize applications using Docker and orchestrate with Kubernetes Set up model versioning and experiment tracking (MLflow, Weights & Biases) Monitor model performance and implement automated retraining pipelines Manage cloud infrastructure (AWS, GCP, or Azure) Required Qualifications Technical Skills Python Expertise: 3+ years of professional Python development experience GenAI Frameworks: Hands-on experience with LangChain, LlamaIndex, or similar frameworks LLM Integration: Proven experience working with OpenAI, Anthropic, or open-source LLMs Backend Frameworks: Proficiency in FastAPI, Flask, or Django Frontend Technologies: Experience with React, Vue.js, or modern JavaScript frameworks Databases: Strong knowledge of SQL and NoSQL databases, vector databases (Pinecone, Weaviate, ChromaDB) ML Libraries: Experience with PyTorch, TensorFlow, Hugging Face Transformers API Development: RESTful API design and implementation Version Control: Git and collaborative development workflows Preferred Skills Experience with prompt engineering and fine-tuning LLMs Knowledge of embedding models and semantic search Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML) Experience with streaming responses and async programming Understanding of AI safety, ethics, and responsible AI practices Knowledge of containerization (Docker) and orchestration (Kubernetes) Experience with monitoring tools (Prometheus, Grafana) Familiarity with message queues (RabbitMQ, Kafka) Education & Experience Bachelor's or Master's degree in Computer Science, AI/ML, or related field 3-5 years of software development experience 1-2 years of hands-on experience with generative AI and LLMs Portfolio of AI projects or contributions to open-source AI projects Soft Skills Strong problem-solving and analytical thinking Excellent communication skills for cross-functional collaboration Ability to translate business requirements into technical solutions Self-motivated with ability to work independently and in teams Passion for staying current with rapidly evolving AI technologies Strong documentation and code review practices What We Offer Competitive salary and equity options Flexible work arrangements (remote/hybrid) Professional development and conference attendance Access to cutting-edge AI tools and technologies Collaborative and innovative work environment Health benefits and wellness programs Application Process Please submit your resume along with: GitHub profile or portfolio showcasing GenAI projects Brief description of your most impactful AI project Links to any deployed applications or demos  

Job Title: Vehicle Assembly Quality Engineer Location: Open to All Cities Experience: 9+ Years Qualification: Bachelors Degree CTC Range: 6,00,000 12,00,000 Job Type: Full-time Status: Open Posted On: 31-Oct-2025 Job Description We are seeking an experienced Vehicle Assembly Quality Engineer to oversee and enhance the quality processes within vehicle production and assembly operations. The ideal candidate will bring a strong technical background in Java, SQL, REST APIs, SAP/ERP systems, along with hands-on experience in team management and manpower handling. This role involves ensuring product quality, driving process improvements, coordinating with cross-functional teams, and supporting digital systems used within vehicle assembly environments. Key Responsibilities Monitor, evaluate, and improve quality processes across the vehicle assembly line. Work with SAP/ERP systems to manage quality records, workflows, and reporting. Utilize Java, SQL, and REST APIs to support and troubleshoot digital tools and quality systems. Develop and implement corrective and preventive action plans (CAPA). Coordinate with production, engineering, and supply chain teams to resolve quality issues. Lead and manage manpower to ensure smooth workflow and adherence to quality standards. Conduct root cause analysis (RCA) and support continuous improvement initiatives. Ensure compliance with organizational and industry quality standards. Required Skills Strong experience in Vehicle Assembly Quality or related automotive manufacturing quality roles. Proficiency in Java, SQL, and REST APIs for system support and troubleshooting. Knowledge of SAP/ERP quality modules. Excellent team management and manpower handling capabilities. Strong understanding of automotive quality standards and processes. Ability to collaborate effectively with cross-functional teams. Nice-to-Have Skills Exposure to automation tools or digital manufacturing platforms. Experience with problem-solving frameworks like 8D, 5 Why, FMEA, etc. Functional Area Quality / Manufacturing / Automotive Engineering

Process Engineer Job Description We are looking to hire a skilled process engineer to oversee the design and implementation of our company processes. As a process engineer, you will be responsible for developing and implementing process strategies, managing process resources, optimizing current processes, and maintaining process documents. Ultimately, your job is to maintain the efficiency of production in order to reduce costs. To ensure success as a process engineer you should have extensive experience in process design, excellent technical skills, and high-level analytical skills. A top-class process engineer can analyze a process system and implement simple yet effective changes to boost production. Process Engineer Responsibilities: Meeting with production managers to assess existing processes. Drafting process ideas to reduce costs and improve production rates. Performing risk assessments. Designing and testing process upgrades and new process systems. Ensuring processes comply with safety and quality standards. Performing process simulations and troubleshooting issues. Performing optimization tests. Developing routines and best practices to ensure product quality. Developing standardized operating instructions for the upgrades process. Providing the Product Manager with process documents and standard operating procedures. Monitoring upgrades systems. Process Engineer Requirements: Bachelors degree in engineering. Proven work experience as a process engineer. Experience with process simulations and standard operating procedures. High-level knowledge of process engineering software systems. Experience working with CAD and AutoCAD. Advanced technical skills. Analytical thinker. Familiarity with state health and safety regulations. Ability to project manage.  

Chemical Engineer Job Description We are looking for a creative, cooperative chemical engineer with a wealth of technical and industry knowledge and a talent for process optimization. The chemical engineer will work in the office and on location to implement, analyze, and improve processes, equipment, and plants. You will also work with other engineers and team members from diverse backgrounds to understand project goals, design and propose solutions, and assist in implementing, troubleshooting, and reviewing plans as projects progress. To be a successful chemical engineer, you should be knowledgeable, communicative, observant, organized, and committed to reaching project goals. You should also possess strong interpersonal, time management, and presentation skills. Chemical Engineer Responsibilities: Using scientific, mathematical, and engineering principles to solve problems and improve processes. Designing, proposing, implementing, reviewing, and correcting plans to ensure company goals are achieved. Observing production processes, conducting research, and finding ways to increase efficiency and quality. Using computers to compile and analyze data. Establishing safety and waste management procedures. Traveling to work sites and locations to learn about project needs and design, implement, troubleshoot, test, and improve processes, equipment, and facilities. Assisting with establishing budgets and timelines. Chemical Engineer Requirements: Bachelors degree in chemical engineering. Experience or more education may be strongly desired. Industry-specific knowledge may be required. Some positions may require or prefer additional certificates or licenses. -Strong understanding of chemistry, mathematics, biology, and engineering principles. Ability to cooperate and communicate with others, especially those without a technical background. Computer literacy. Exceptional problem solving, verbal and written communication, presentation, and project management skills.  

As a Production and Media executive, you will play a crucial role in supporting the production needs of faculty, students, and external projects, while also managing various media initiatives to promote programs and events. Your responsibilities will include: - Supporting the department in handling equipment, managing equipment hire register, and ensuring the good condition of Cine, Photography, Sound equipment, and accessories. - Coordinating and supporting production needs for film projects, including pre-production planning, equipment reservations, and post-production assistance. - Managing the film school's media assets such as video archives, promotional materials, and digital content to ensure organization, accessibility, and proper usage rights. - Overseeing the operation and maintenance of production equipment, facilities, and software tools to ensure functionality, safety, and accessibility for students and faculty. - Assisting in coordinating film screenings, workshops, and events by providing logistical support, promotional materials, and technical setup. - Sourcing and liaising with vendors for quotations on the purchase of production equipment and supplies while ensuring competitive pricing and quality standards are met. Additionally, you will need to: - Have 0-2 years of experience in the related field. - Possess strong communication skills and be proficient in English, Telugu, and Hindi. - Be energetic, flexible to work in different schedules during shoots and projects. - Have experience in handling equipment, operating media equipment, and managing film production. - Hold a Bachelor's Degree or relevant qualification in Production & Media. This full-time position offers benefits such as cell phone reimbursement, flexible schedule, health insurance, provident fund, leave encashment, life insurance, and permanent job type. The work location is in person.,

You are seeking a Senior Production Support Engineer to join the team in supporting high-frequency trading activities in the Asia Pacific region, with backup support for EU & US platforms. Your responsibilities will include providing level 1 support for trading activities, managing software upgrades and releases, collaborating with various stakeholders, and designing tools to enhance departmental efficiency. - Provide level 1 support for high-frequency trading activities in Asia Pacific. - Offer backup support for EU & US platforms. - Manage software upgrades and releases. - Collaborate with brokers, service providers, and other technology groups. - Design and implement tools and reports to enhance departmental efficiency. You should have a minimum of 6 years of experience in a similar role, proficiency in an all-Linux environment, scripting languages (vi, Bash, Perl, Python), database/SQL knowledge (Sybase, MSSQL, MySQL), and understanding of network and internet protocols (TCP, UDP, Telnet, SSH, etc). A Bachelor's degree in computer science or a related field is required. Additionally, you should possess excellent written and verbal communication skills, the ability to manage multiple tasks in a fast-paced environment, and knowledge in Electronic Trading would be a plus. If you are shortlisted, you will receive details of the interview process on the email address mentioned in your resume.,

Position Overview: You will be an essential part of turning innovative concepts into reality at Futuristic Labs as a Production Planning & Quality Intern. Your role will involve overseeing production workflows, ensuring quality standards, and maintaining inventory processes for the electromechanical product line. This is a unique opportunity to collaborate with a passionate, multidisciplinary team and contribute to creating products that simplify lives and unlock human potential. Key Responsibilities: - Production Planning & Control: - Supervise daily production activities, including manufacturing, embedded systems, wiring harness assembly, packaging, and end-of-line testing. - Allocate tasks to team members and monitor progress to ensure timely completion. - Interpret engineering and assembly drawings to guide production processes and maintain high-quality standards. - Optimize production workflows and manpower allocation to achieve efficiency and output goals. - Maintain accurate and detailed production documentation, including reports, quality files, GRNs (Goods Receipt Notes), invoices, and billing records. - Quality Assurance: - Perform inward and in-process quality checks to ensure components and assemblies meet design and performance specifications. - Collaborate with cross-functional teams to address quality issues and implement corrective measures. - Uphold stringent quality assurance practices for electro-mechanical assembly and manufacturing. - Inventory & Stores Management: - Implement effective inventory management practices, including stock tracking, material issuing, and inventory updates. - Ensure that inventory for product development and bought-out items is well-maintained and meets project timelines. - Organize and oversee stores maintenance to support production activities seamlessly. - Vendor Coordination & Logistics: - Coordinate with vendors for timely delivery of materials and manage logistics for incoming shipments. - Establish and maintain strong relationships with suppliers to ensure consistent quality and reliability. - Process Improvement & Collaboration: - Identify opportunities for process improvement and collaborate with engineering, quality, and production teams to implement changes. - Utilize basic ERP systems and tools to enhance resource planning and streamline workflows. Requirements: What You Need to Succeed in This Role: Education & Experience: - Diploma or Bachelor's degree in a relevant field. - 01 years of experience in assembly or manufacturing, preferably in electro-mechanical production environments. Skills: - Proficiency in interpreting engineering and assembly drawings. - Familiarity with ERP systems and Microsoft Office tools for efficient documentation and planning. - Strong organizational, multitasking, and problem-solving abilities. - Detail-oriented with a commitment to quality and efficiency. Additional Details: At Futuristic Labs, the mission is to simplify lives and unlock human potential through innovation. The company values radical candor, ownership, and selflessness, fostering an environment where everyone feels heard and empowered to make an impact. They offer growth opportunities, innovative products like Riku and Semi, and aligned values that guide everything they do. Ready to Transform the Future Join Futuristic Labs and be part of a mission-driven team that dares to dream big, builds boldly, and grows together. Let's build the futureone innovative project at a time.,

Production Assistant Job Description We are looking for an organized and energetic production assistant to work on film or TV sets. The production assistant is responsible for preparing props, printing and handing out scripts, and assisting crew members where needed. To be successful as a production assistant, you must be able to multitask while paying attention to detail. A good production assistant helps all departments involved in the production process. Production Assistant Responsibilities: Prepare the set for filming. Print and hand out scripts. Prevent pedestrians from entering the set. Deliver messages to various crew members. Help create and adhere to production budgets. Run errands for crew members. Production Assistant Requirements: A degree in media, film, or a relevant field. Prior experience as part of a production team. Ability to multitask. Ability to create a budget. Flexible work hours. Excellent communication skills. Relative physical fitness levels. Excellent computer literacy skills.  

Petroleum Engineer Responsibilities: Analyzing, interpreting, and monitoring the geological formation data to ascertain the extraction risks and the best methods of extraction. Using surveys, testing, and analysis to evaluate new reservoirs to determine profits and to create low-cost drilling and extraction plans. Generating computer-simulated models for drilling formation and equipment, ensuring and designing the best tools and equipment for extraction, and managing machinery and production costs. Determining the most efficient way to drill through internal divisions for a free-flowing single well. Determining the most efficient way to fracture shale beds to free the gas or oil. Overseeing ongoing production operations, ensuring the efficient extraction and drilling, and ensuring extraction and transportation respect safety and environmental regulations. Maintaining on-site drilling and pumping equipment. Developing and refining methods of extracting more petroleum from existing wells. Overseeing the removal of the company's equipment, the sealing of the reservoir, and the disposal of waste materials once the reservoir has been exhausted.

Were seeking an Operations Engineer to join our dynamic Engineering Operations Team. In this role, youll be instrumental in automating operational processes, providing advanced product support, and crafting custom integrations to meet both internal and customer needs. Your work will involve root cause analysis, developing tools to improve system functionality, and collaborating with various departments to enhance our softwares value. If youre a skilled software engineer with a passion for problem-solving and a drive to innovate, we invite you to apply. Responsibilities Execute and automate operational processes Provide second-level support for the product Implement customer-requested integrations and automations Investigate and identify causes of technical issues escalated by Customer Support Perform root cause analysis for production issues and recommend improvements Develop software to automate operational procedures and meet internal stakeholder needs Design and develop software solutions for customer needs as part of Professional Services Monitor integrations and develop tools to automate report reconciliation and visualization  

Responsibilities: Traveling to client locations for equipment inspection. Inspecting equipment and conducting routine maintenance. Servicing and replacing old or faulty equipment. Troubleshooting equipment malfunctions. Removing old equipment and installing new machines. Proving technical support and training on new equipment. Responding to customer call-outs. Adhering to all safety and performance regulations.

A reservoir engineer analyzes and manages oil and gas reservoirs to maximize extraction efficiency. They use geological data and computer models to predict fluid flow, estimate reserves, and develop strategies for optimal production, often working with drilling and production teams. Key activities include creating field development plans, monitoring reservoir performance, and implementing recovery techniques. Key responsibilitiesData analysis: Analyze geological, seismic, and reservoir data to understand properties like pressure, temperature, and rock and fluid characteristics.Reservoir modeling: Use sophisticated software to build realistic computer models of the reservoir to simulate fluid flow and predict behavior.Production forecasting: Predict future oil and gas production rates and estimate reserves, including their uncertainties.Development planning: Develop and manage field development plans and strategies to optimize resource extraction over the life of the field.Production optimization: Monitor current production, identify opportunities for improvement, and propose and coordinate well interventions, such as workovers or new well placements.Strategy and collaboration: Work with other engineering disciplines (drilling, completions, production) to ensure that field operations are aligned with reservoir management goals.Economic evaluation: Conduct economic analyses to support development decisions and ensure that recovery strategies are profitable.Reporting: Prepare reports on reserves, production, and financial forecasts for management. Required skills and qualificationsEducation: A bachelor's degree in petroleum engineering, reservoir engineering, or a related field like chemical engineering is typically required. A master's degree is often preferred.Technical skills: Strong understanding of reservoir physics, fluid flow, and geology, along with proficiency in reservoir simulation software and data analysis tools.Soft skills: Analytical, problem-solving, and communication skills are essential, as is the ability to work effectively in a multidisciplinary team.

Responsibilities: Creating a production schedule. Training new employees. Scheduling regular maintenance for equipment. Discussing budget expectations with clients. Purchasing the required materials. Ensuring that health and safety protocols are adhered to.

A mechanical production engineer optimizes manufacturing processes by designing and improving production systems, overseeing production schedules, and ensuring product quality and safety. Mechanical Production Engineer Responsibilities: Supervising the manufacturing processes, ensuring quality work is done in a safe, efficient manner. Liaising with other engineers to develop plans that improve production, costs, and labor required. Diagnosing problems in the production line and providing recommendations and training. Establishing safety procedures and protocols that take the workers' well-being into account, and that also minimize the carbon footprint. Keeping abreast of advancements in engineering and production, and sharing knowledge with co-workers. Identifying, documenting, and reporting unsafe practices. Drawing up production schedules and budgets for projects. Scheduling meetings with relevant departments and stakeholders. Analyzing all facets of production and making recommendations for improvement. Obtaining any materials and equipment required.

We are looking for a Manufacturing Engineer to help us implement manufacturing processes that result in high-quality products. You need to have good knowledge of tool design and fabrication methods. Other necessary manufacturing engineer skills include project management ability, commitment to quality, and familiarity with safety and environmental standards. If youre also inventive and meticulous, wed like to meet you. Ultimately, youll be the one to ensure our production lines work efficiently and effectively to satisfy our customers. Responsibilities Evaluate manufacturing processes based on quality criteria, such as efficiency and speed Study production and machine requirements Develop and test effective automated and manual systems Design and install equipment Organize and manage manufacturing workflows and resources Integrate disparate systems (e.g. equipment handling, transport) Optimize facility layouts, production lines, machine operations and network performance Resolve issues and delays in production Find ways to reduce costs and maximize quality Train staff in new and existing processes Collaborate with other engineers, contractors and suppliers