417 Distillation Jobs - Page 15

Strong administrative person from Beverage mfg. - Distillery & Brewery to oversees the entire distillation & bottling process, ensuring efficient operations, quality control, and safety, production, scm, hr, operations, compliances, plant, manpower

Department: Engineering Employment Type: Permanent - Full Time Location: Gurgaon - India Description Perform a variety of technical support work for the Hydrocracking, Hydrotreating, Lube Hydroprocessing, and Residuum Hydrotreating technologies as well as other refining technologies. This work technical service, technical proposals related to selling catalyst, supporting major process designs or doing minor process designs for revamps, and startup support. Key Responsibilities Technical Service Interpret operating data to monitor catalyst performance, recommend operating guidelines, and estimate remaining catalyst life. Plan and lead in-plant shutdown and startup assistance, including catalyst loading, regeneration, and sulfiding consultation. Administer plant performance test runs as required. Answer clients’ operating questions to stay close to the customer and win future catalyst business. Level of support is dependent on the marketing strategy for each customer. Includes process equipment troubleshooting. Will include site visits and/or periodic operating data reports Participate in conceptual design studies in support of licensed unit re-vamps or debottlenecks. Process Designs Be able to understand process design packages and the process design work for engineering design packages (EDP) for a hydroprocessing Unit Run ProVision models to simulate the process. Generate heat and material balances and stream data. Be able to do new designs and/or ratings of major pieces of equipment such as heat exchangers, vessels, distillation columns, etc. Provide follow-up work as needed so the EDP can be completed within schedule. Coordinate with the Materials and Reactor Design support Generate Process and Analytical Manuals Answer clients’ questions as part of design follow-up support New Plant Startup Support Plan and lead new plant startup assistance, including equipment process inspections, and supervision of (a) catalyst loading, (b) sulfiding, (c) start-up, and (d) plant performance test runs. Document each phase of the startup and work with the customer to manage their needs and expectations. Training Provide hydrocracking and isomerization/dewaxing training to (new) CLG technical service engineers or third parties Skills, Knowledge & Expertise Must have a degree in Chemical Engineering and 10+ years of experience in process technology. Must have basic knowledge of process design tools such as PROVISION (or similar process simulator), heat exchanger design tools, etc. Ability to design a variety of unit operations such as heat exchangers, vessels, distillation columns, etc. is a plus. Extensive experience in hydroprocessing design, operations, kinetics, and data analysis is essential. Thorough understanding of how equipment functions in the field and overall plant operation is required. Knowledge of hydroprocessing-specific equipment a plus. Ability to communicate with clients to effectively sell our technology and represent CVX in a positive light to outside companies. Ability to communicate well with teammates and managers during project and tech service work required. Demonstrated ability to plan, schedule, and manage multiple work activities to meet customer needs and expectations required. Must possess ability to manage a team and delegate work out to team. Must be able to interact with a variety of experience levels and position types. Show more Show less

At Mott MacDonald, we are proud to be part of an ever-changing global industry, delivering transformative work that’s defining our future. It’s our people who power that performance. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward. With so many opportunities to learn, grow and excel, the possibilities are as varied as every individual to shape the career that’s right for you. Key Responsibilities/Duties Prepare Design Basis documents Develop Basic Engineering Packages (BEP) and Front-End Engineering Design (FEED) Create Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Conduct Heat & Mass Balance calculations Perform Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Summarize and size utilities Develop Process Control Philosophy and Control Narratives Size and specify process equipment Prepare Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Compile Equipment and Line Lists Essential Candidate Requirements Strong aptitude in Chemical Engineering Good understanding of process unit operations and process calculations, including principles of heat exchangers, distillation, fluid flow, and reactions Analytical thinking and problem-solving skills Can lead a team of 2 to 4 team members Excellent interpersonal skills and ability to work in a team Strong technical communication skills, with the ability to effectively communicate with other discipline engineers to understand and solve their issues Working experience with HYSYS and HTRI software Experience in designing various process equipment and engineering concepts Active participation and can conduct HAZID, HAZOP, SOP, and Process Safety development Proficiency in reviewing PFDs, P&IDs, Heat and Mass Balance calculations, and process equipment sizing Experience in risk studies and brainstorming on process units involving risk analysis and safeguards Ability to analyse, optimize, and troubleshoot chemical process plant equipment and machinery Experience in preparing and reviewing process datasheets for equipment such as distillation columns, separators, reactors, and heat exchangers Execution of debottlenecking projects and expansion studies Participation in MOC studies and recommendations. Whether you want to pursue excellence in a specialism or broaden your experience with flexible roles across our business, you’re connected to a community of global experts championing you to be your best. Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Ahmedabad, GJ, IN Mumbai, MH, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 9010 Recruiter Contact: Vrajesh Gajjar Show more Show less

At Mott MacDonald, we are proud to be part of an ever-changing global industry, delivering transformative work that’s defining our future. It’s our people who power that performance. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward. With so many opportunities to learn, grow and excel, the possibilities are as varied as every individual to shape the career that’s right for you. Key Responsibilities/Duties Prepare Design Basis documents Develop Basic Engineering Packages (BEP) and Front-End Engineering Design (FEED) Create Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Conduct Heat & Mass Balance calculations Perform Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Summarize and size utilities Develop Process Control Philosophy and Control Narratives Size and specify process equipment Prepare Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Compile Equipment and Line Lists Essential Candidate Requirements Strong aptitude in Chemical Engineering Good understanding of process unit operations and process calculations, including principles of heat exchangers, distillation, fluid flow, and reactions Analytical thinking and problem-solving skills Can lead a team of 2 to 4 team members Excellent interpersonal skills and ability to work in a team Strong technical communication skills, with the ability to effectively communicate with other discipline engineers to understand and solve their issues Working experience with HYSYS and HTRI software Experience in designing various process equipment and engineering concepts Active participation and can conduct HAZID, HAZOP, SOP, and Process Safety development Proficiency in reviewing PFDs, P&IDs, Heat and Mass Balance calculations, and process equipment sizing Experience in risk studies and brainstorming on process units involving risk analysis and safeguards Ability to analyse, optimize, and troubleshoot chemical process plant equipment and machinery Experience in preparing and reviewing process datasheets for equipment such as distillation columns, separators, reactors, and heat exchangers Execution of debottlenecking projects and expansion studies Participation in MOC studies and recommendations. Whether you want to pursue excellence in a specialism or broaden your experience with flexible roles across our business, you’re connected to a community of global experts championing you to be your best. Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Ahmedabad, GJ, IN Mumbai, MH, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 9010 Recruiter Contact: Vrajesh Gajjar Show more Show less

Generative AI Model Development: Design, train, and fine-tune LLMs (GPT, LLaMA, Claude), diffusion models, and multimodal AI systems for various applications. NLP & Deep Learning Expertise: Implement and optimize Transformer-based architectures (BERT, T5, GPT, etc.) for text generation, summarization, and embeddings. AI Pipeline Engineering: Develop end-to-end AI pipelines , including data preprocessing, model training, inference, and deployment using PyTorch, TensorFlow, or JAX. Agile Development: Work in an Agile/Scrum environment, participating in standups, sprint planning, and retrospectives to iteratively develop AI-driven products. Fine-tuning & Optimization: Optimize pre-trained models through LoRA, PEFT, quantization, and distillation for efficiency and cost-effectiveness. Cloud & MLOps Integration: Deploy AI models on AWS using Kubernetes, Docker, FastAPI, and serverless architectures . Vector Databases & Retrieval-Augmented Generation (RAG): Work with FAISS, ChromaDB, Weaviate, or Pinecone to enhance generative models with retrieval-augmented techniques. AI Security & Ethics: Implement safeguards against bias, hallucinations, adversarial attacks , and ensure compliance with AI governance frameworks (e.g., GDPR, HIPAA). Experimentation & Research: Stay up-to-date with the latest AI advancements, conduct A/B testing , and experiment with new zero-shot, few-shot, and fine-tuning techniques. Collaboration & Mentorship: Work with cross-functional teams (data scientists, software engineers, product teams) and mentor junior AI engineers. Show more Show less

Role & responsibilities Operating Equipments in Chemical Plant- Like Reactors, Centrifuge, ANFD etc.

We are seeking a Chemical Engineer with experience in design, development, and optimization of column internals such as trays, structured packings, random packings, distributors, and demisters. The ideal candidate will play a key role in process design, performance evaluation, and customer support to ensure high-efficiency solutions for our clients. Responsibilities Design and optimize column internals to improve mass transfer and separation processes. Conduct process simulations and calculations for distillation, absorption, and stripping applications. Work with mechanical and production teams to ensure the design feasibility and manufacturing compatibility of internals. Perform hydraulic and efficiency calculations to recommend suitable internals for specific process requirements. Collaborate with sales and marketing teams to provide technical support and customer consultations. Evaluate and troubleshoot operational issues in installed column internals to enhance performance. Prepare technical reports, datasheets, and proposals for clients. Keep up-to-date with advancements in mass transfer technology and process engineering best practices Qualifications The candidates should be graduate in Chemical Engineering from a recognized university and 2-5 years of process design experience. 2-5 years of experience in process design, mass transfer, or column internals manufacturing. Proficiency in process simulation tools such as Aspen Plus, HYSYS, or ChemCAD. Strong understanding of distillation, absorption, extraction, and phase separation principles. Knowledge of fluid mechanics, heat & mass transfer, thermodynamics and pressure drop calculations. Experience with technical drawings and CAD software (AutoCAD, SolidWorks) is a plus. Strong analytical, problem-solving, and communication skills. Ability to work collaboratively with cross-functional teams and customers. Show more Show less

Were seeking a Generative AI Engineer with 3-6 years of experience to design, develop, and deploy AI models that enhance our travel platforms. Youll work on LLMs, diffusion models, NLP, and other generative techniques to build solutions like dynamic content creation, conversational AI, and predictive travel recommendations. Skills & Qualifications 3-6 years of hands-on experience in AI/ML, with at least 1-2 years focused on generative AI. Proficiency in Python, PyTorch/TensorFlow, and frameworks like LangChain, Hugging Face, or LlamaIndex. Experience with LLM fine-tuning, prompt engineering, and RAG architectures. Knowledge of cloud platforms (AWS/GCP/Azure) and MLOps tools (MLflow, Kubeflow). Familiarity with travel industry data (e.g., booking systems, customer reviews) is a plus. Strong problem-solving skills and ability to translate business needs into AI solutions. Key Responsibilities Design, train, and fine-tune generative AI models (e.g., GPT, Llama, Stable Diffusion) for travel-specific use cases. Implement NLP pipelines for chatbots, personalized recommendations, and automated content generation. Optimize models for performance, scalability, and cost-efficiency (e.g., quantization, distillation). Collaborate with product teams to integrate AI into customer-facing applications (e.g., dynamic itineraries, virtual travel assistants). Stay ahead of industry trends (e.g., multimodal AI, RAG, autonomous agents) and prototype innovative solutions. Ensure ethical AI practices, bias mitigation, and compliance with data privacy regulations. Nice-to-Have Publications or projects in generative AI (GitHub, blogs, research papers). Experience with multimodal models (text + image/video generation). Exposure to graph neural networks (GNNs) for recommendation systems. What We Offer A fast-paced, collaborative, and growth-oriented environment. Direct impact on products used by millions of global travelers. Work on real-world AI challenges in a dynamic travel-tech environment. Competitive salary, and travel perks. Flexible work culture with a focus on innovation. Why Join Us ? At Thrillophilia, you will be part of a team that is dedicated to redefining the future of travel. We have millions of users, but to reach the next milestone, we need fresh perspectives and bold ideas to perfect every product and process. Here, you wont find the typical startup clichéstheres no excess, no fluff, just the raw, exhilarating challenge of creating the future of travel. At Thrillophilia, we dont just offer a job, we offer an experience! From Holis vibrant colors to Diwalis festive lights, every moment here is a celebration of life, energy, and creativity. We believe in empowering young minds to think big, innovate, and growbecause passion drives progress. Whether it's our grand festivals or recognizing and celebrating our top performers at the RnR, we make sure success never goes unnoticed. Forget the robotic 9-to-5; at Thrillophilia, we thrive on spontaneity, collaboration, and making every day feel like a grand event. (ref:hirist.tech) Show more Show less

Key Responsibilities/Duties Prepare Design Basis documents. Develop Basic Engineering Packages (BEP) and Front-End Engineering Design (FEED). Create Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID). Conduct Heat & Mass Balance calculations. Perform Hydraulic Calculations. Design process equipment such as heat exchangers, columns, and reactors. Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV). Summarize and size utilities. Develop Process Control Philosophy and Control Narratives. Size and specify process equipment. Prepare Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS). Compile Equipment and Line Lists. Essential Candidate Requirements B.E / B. Tech - Chemical Engineer Preferably M.E / M. Tech (Full Time) Experience in chemical process industries or a similar chemical engineering process field, with strong consulting background. Strong aptitude in Chemical Engineering. Good understanding of process unit operations and process calculations, including principles of heat exchangers, distillation, fluid flow, and reactions. Analytical thinking and problem-solving skills. Excellent interpersonal skills and ability to work in a team. Strong technical communication skills, with the ability to effectively communicate with other discipline engineers to understand and solve their issues. Working experience with HYSYS and HTRI software. Experience in designing various process equipment and engineering concepts. Active participation in HAZID, HAZOP, SOP, and Process Safety development. Proficiency in preparing PFDs, P&IDs, Heat and Mass Balance calculations, and process equipment sizing. Ability to analyse, optimize, and troubleshoot chemical process plant equipment and machinery. Experience in preparing process datasheets for equipment such as distillation columns, separators, reactors, and heat exchangers. Execution of debottlenecking projects and expansion studies. Understand MOC selection. We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Ahmedabad, GJ, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 5460 Recruiter Contact: Swati Prabhu Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cloud AI Engineer The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We are looking for a talented and motivated AI Engineer to join our team and work alongside our AI Architect. The ideal candidate will have a strong background in AI/ML, data engineering, and cloud technologies, with a focus on AI & Generative AI (GenAI) technologies. You will be responsible for developing, deploying, and optimizing AI models and solutions, ensuring they meet the performance, scalability, and security requirements of our organization. EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your Key Responsibilities AI/ML Model Development Develop and train machine learning models using frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Leverage large language models (LLMs) and work on cloud LLM deployments. Build AI agents and have a solid understanding of agentic frameworks. Implement and fine-tune AI models for various business applications. AI/ML Deployment and Optimization Deploy machine learning models on cloud platforms (e.g., AWS, Azure, GCP). Optimize AI pipelines for both real-time and batch processing. Understand concepts around model fine-tuning, distillation, and optimization. Monitor and maintain the performance of deployed models, ensuring they meet business requirements. Cloud Integration Integrate AI/ML models with existing cloud infrastructure. Utilize cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to manage AI workloads. Ensure compliance with data privacy and security standards. Collaboration and Support Work closely with the AI Architect to design scalable AI solutions. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Provide technical support and troubleshooting for AI-related issues. Continuous Learning and Innovation Stay updated on the latest advancements in AI/ML technologies. Experiment with new AI tools and frameworks to enhance existing solutions. Contribute to the adoption of best practices for AI model lifecycle management. Skills And Attributes For Success Proficiency in AI/ML frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms: AWS, Azure, GCP. Understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop). Hands-on experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of DevOps practices for AI/ML (MLOps). Strong understanding of deep learning models, including DNN, LSTM, Transformers, RL, and GNN. Experience with Generative AI technologies, including LLMs, model fine-tuning, distillation, and optimization. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus. Experience: At least 5+ years in AI-related roles Proven experience in developing and deploying AI solutions with Python, JavaScript Strong background in machine learning, deep learning, and data modelling. Experience in integrating AI models with cloud infrastructure. Agile Methodologies: Familiarity with Agile development practices and methodologies. Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cloud AI Engineer The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We are looking for a talented and motivated AI Engineer to join our team and work alongside our AI Architect. The ideal candidate will have a strong background in AI/ML, data engineering, and cloud technologies, with a focus on AI & Generative AI (GenAI) technologies. You will be responsible for developing, deploying, and optimizing AI models and solutions, ensuring they meet the performance, scalability, and security requirements of our organization. EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your Key Responsibilities AI/ML Model Development Develop and train machine learning models using frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Leverage large language models (LLMs) and work on cloud LLM deployments. Build AI agents and have a solid understanding of agentic frameworks. Implement and fine-tune AI models for various business applications. AI/ML Deployment and Optimization Deploy machine learning models on cloud platforms (e.g., AWS, Azure, GCP). Optimize AI pipelines for both real-time and batch processing. Understand concepts around model fine-tuning, distillation, and optimization. Monitor and maintain the performance of deployed models, ensuring they meet business requirements. Cloud Integration Integrate AI/ML models with existing cloud infrastructure. Utilize cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to manage AI workloads. Ensure compliance with data privacy and security standards. Collaboration and Support Work closely with the AI Architect to design scalable AI solutions. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Provide technical support and troubleshooting for AI-related issues. Continuous Learning and Innovation Stay updated on the latest advancements in AI/ML technologies. Experiment with new AI tools and frameworks to enhance existing solutions. Contribute to the adoption of best practices for AI model lifecycle management. Skills And Attributes For Success Proficiency in AI/ML frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms: AWS, Azure, GCP. Understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop). Hands-on experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of DevOps practices for AI/ML (MLOps). Strong understanding of deep learning models, including DNN, LSTM, Transformers, RL, and GNN. Experience with Generative AI technologies, including LLMs, model fine-tuning, distillation, and optimization. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus. Experience: At least 5+ years in AI-related roles Proven experience in developing and deploying AI solutions with Python, JavaScript Strong background in machine learning, deep learning, and data modelling. Experience in integrating AI models with cloud infrastructure. Agile Methodologies: Familiarity with Agile development practices and methodologies. Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Company Description Welcome to Economy Process Solutions! We are a leading engineering company specializing in the design and supply of process equipment and vacuum systems. Our product portfolio includes thin film dryers/evaporators, short path distillation units, heat exchangers, and more. Quality, customization, and compliance are integral to our solutions, designed to meet industry standards and tailored to specific needs. Role Description This is a full-time on-site role as an E&I Service Engineer located in Pune. The E&I Service Engineer will be responsible for the maintenance, repair, and calibration of process equipment and vacuum systems. This role involves troubleshooting electrical and instrumentation issues, conducting preventative maintenance, and collaborating with the engineering team to optimize equipment performance. Qualifications Electrical Engineering, Instrumentation, and Process Control skills Experience in maintenance, repair, and calibration of equipment Troubleshooting and problem-solving abilities Knowledge of industry standards and regulations Excellent communication and teamwork skills Ability to work in pan India Bachelor's degree in Electrical Engineering or related field Experience in the engineering industry is a plus Show more Show less

Role & responsibilities : Distillation operation Preferred candidate profile : 5-10 years exp in Grain Based Distillery

Highly skilled Senior Machine Learning Engineer with expertise in Deep Learning, Large Language Models (LLMs), and MLOps/LLMOps to design, optimize, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience in developing and scaling deep learning models, fine-tuning LLMs/ (e.g., GPT, Llama), and implementing robust deployment pipelines for production environments. Responsibilities Model Development & Fine-Tuning: - Design, train, fine-tune and optimize deep learning models (CNNs, RNNs, Transformers) for NLP, computer vision, or multimodal applications. - Fine-tune and adapt Large Language Models (LLMs) for domain-specific tasks (e.g., text generation, summarization, semantic similarity). - Experiment with RLHF (Reinforcement Learning from Human Feedback) and other alignment techniques. Deployment & Scalability (MLOps/LLMOps): - Build and maintain end-to-end ML pipelines for training, evaluation, and deployment. - Deploy LLMs and deep learning models in production environments using frameworks like FastAPI, vLLM, or TensorRT. - Optimize models for low-latency, high-throughput inference (eg., quantization, distillation, etc.). - Implement CI/CD workflows for ML systems using tools like MLflow, Kubeflow. Monitoring & Optimization: - Set up logging, monitoring, and alerting for model performance (drift, latency, accuracy). - Work with DevOps teams to ensure scalability, security, and cost-efficiency of deployed models. Required Skills & Qualifications: - 5-7 years of hands-on experience in Deep Learning, NLP, and LLMs. - Strong proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers, and LLM frameworks. - Experience with model deployment tools (Docker, Kubernetes, FastAPI). - Knowledge of MLOps/LLMOps best practices (model versioning, A/B testing, canary deployments). - Familiarity with cloud platforms (AWS, GCP, Azure). Preferred Qualifications: - Contributions to open-source LLM projects. Show more Show less

Role & responsibilities : Production/ Quality/ Maintenance Preferred candidate profile :Production/ Quality/ Maintenance

Role & responsibilities : Process, Liqufecation/fermentation, Distillation/ MDSH/ Drier, Milling Preferred candidate profile DIFAT,

Work Your Magic with us! Start your next chapter and join MilliporeSigma. Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. Your Role This position is to support the shift wise operation with 6 days of working. Safely perform operations to meet quality expectations throughout the process. Clean up equipment and working areas during and after operations. Complete the volume of work required to achieve group/departmental goals and meet deadlines. Implementing kaizens. To support ISO, EHS, internal, external, and other regulatory audits To maintain 6S in Manufacturing area. To report and record the deviations observed during the activity. To support AM/PM activities. Contribute to support functions of the lab (e.g., maintain equipment, prepare reagents, restock lab supplies, waste disposal). Communicate the status of operations and bring deviations to the attention of a supervisor. Provide complete and accurate records consistent with quality guidelines. Ensure all applicable logbooks have been filled out completely as required by current procedures. Interact with other departments as needed, including participation in quality audits. Accurately perform procedures independently. Identify problems and limitations of analysis. Perform routine troubleshooting. In compliance with change control procedures, improve processes through application of scientific knowledge, experience, and principles. Participate in process improvements under the guidance of a supervisor or Scientist. Take the necessary action to resolve any unsafe conditions. Develop improvement ideas, review impact of changes, and document all work. Perform and interpret analytical evaluations of products and intermediates. Taking lead in CAPA and RCA for the incidents Safe handling of solvent distillation, solvent transfer Who You Are, Basic Qualification: Education: Diploma in chemical engineering Exp: 4 – 5 Years Mandate Gas handling, Catalyst Handling, Hydrogenation, Distillation. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cloud AI Engineer The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We are looking for a talented and motivated AI Engineer to join our team and work alongside our AI Architect. The ideal candidate will have a strong background in AI/ML, data engineering, and cloud technologies, with a focus on AI & Generative AI (GenAI) technologies. You will be responsible for developing, deploying, and optimizing AI models and solutions, ensuring they meet the performance, scalability, and security requirements of our organization. EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your Key Responsibilities AI/ML Model Development Develop and train machine learning models using frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Leverage large language models (LLMs) and work on cloud LLM deployments. Build AI agents and have a solid understanding of agentic frameworks. Implement and fine-tune AI models for various business applications. AI/ML Deployment and Optimization Deploy machine learning models on cloud platforms (e.g., AWS, Azure, GCP). Optimize AI pipelines for both real-time and batch processing. Understand concepts around model fine-tuning, distillation, and optimization. Monitor and maintain the performance of deployed models, ensuring they meet business requirements. Cloud Integration Integrate AI/ML models with existing cloud infrastructure. Utilize cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to manage AI workloads. Ensure compliance with data privacy and security standards. Collaboration and Support Work closely with the AI Architect to design scalable AI solutions. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Provide technical support and troubleshooting for AI-related issues. Continuous Learning and Innovation Stay updated on the latest advancements in AI/ML technologies. Experiment with new AI tools and frameworks to enhance existing solutions. Contribute to the adoption of best practices for AI model lifecycle management. Skills And Attributes For Success Proficiency in AI/ML frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms: AWS, Azure, GCP. Understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop). Hands-on experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of DevOps practices for AI/ML (MLOps). Strong understanding of deep learning models, including DNN, LSTM, Transformers, RL, and GNN. Experience with Generative AI technologies, including LLMs, model fine-tuning, distillation, and optimization. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus. Experience: At least 5+ years in AI-related roles Proven experience in developing and deploying AI solutions with Python, JavaScript Strong background in machine learning, deep learning, and data modelling. Experience in integrating AI models with cloud infrastructure. Agile Methodologies: Familiarity with Agile development practices and methodologies. Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

DesignationService Engineer Full Time Opportunity LocationMultiple Roles & Responsibilities : Setting up, testing, and repairing RF Dryers, Stenters, Sanforizers, and other textile processing equipment Frequency of travelling minimum 20 days a month or more Knowledge and skill : Competence of drives and their communication process Good understanding of installation/commissioning equipment, electrical & electronics knowledge in the areas of machine commissioning procedures Expertise in processing textiles. Experience : - Person having experience in the maintenance department of processing mills and / or servicing or trouble shooting of textile processing machineries will be preferred. - A minimum of 3 years is a must in the case of an engineering degree and a minimum of 3 years of experience is a must in the case of Diploma engineering in the above referred areas. QualificationDiploma or Degree in Electrical / Electronics / Mechatronics This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

PLEASE NOTE: THIS ROLE IS ONLY FOR CANDIDATES WITH 5 TO 7 YEARS OF EXPERIENCE About PharmSight PharmSight is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. We are dedicated to improving patient outcomes and driving advancements in the pharmaceutical industry through the application of advanced artificial intelligence Why join PharmSight? Competitive Compensation: Best-in-class salary with structured career progression Flexible Work Environment: Option to work from anywhere, at any time Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development Role Overview As an AI Developer/Engineer (LLM) at PharmSight, you will be at the forefront of designing, developing, and deploying generative AI applications using state-of-the-art large language models (LLMs). You will be instrumental in crafting innovative AI solutions that solve complex challenges in bio-pharma analytics, product research, and market intelligence, directly impacting our clients ability to make data-driven decisions. This role demands a unique combination of deep technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains Key Responsibilities Architect, implement, and optimize large language models (LLMs) such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into PharmSight’s analytics platforms Leverage graph databases (e.g., vector graphs, hybrid graphs) to enhance structured knowledge extraction from unstructured text Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain Contribute findings to open-source projects, publish research insights, and represent PharmSight in AI research communities Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI Requirements Educational Background: bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field AI & ML Experience: 5-7 years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs) Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch) Solid understanding of prompt engineering, model optimization, and NLP techniques Healthcare/Pharma Knowledge: A solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring) (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (Eg, Neo4j, Entity extraction, nodes extraction) Join Us PharmSight offers a competitive salary, comprehensive benefits package, and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact Interested? Send your CV/Resume to Careers@pharmsight.com , and we’ll get back to you soon! Show more Show less

Detailed Process Understanding on Unit Operations (Distillation, Extraction, Filtration, Drying, Absorption, Stripping) GAP Analysis Study (Theoretical Vs Actual) along with Cost Evaluation Study for deciding Priorities Review of P&ID

Roles and Responsibilities Operate Liqufecation/Fermentation/ distillation /MEE/MSDH/, dryer, Co2/Milling/WTP/PCTP and other equipment to produce high-quality spirits. Monitor and control fermentation processes to ensure optimal conditions for distillation. Perform routine maintenance tasks on equipment to prevent breakdowns and optimize performance. Collaborate with team members to troubleshoot issues and improve overall efficiency. Ensure compliance with safety protocols and quality standards.

Company Description SpectraA Group, established in Bangalore in 2009, is a technology solutions provider for the Food & Pharma sector. With divisions focused on technology, execution, electrical, and overseas operations, SpectraA offers turnkey projects, equipment, systems, and specialized fabrication for breweries, spirits blending plants, and more. The team's expertise spans Process, Static Engineering, Fabrication, and Project Management, with installations across India and internationally. Role Description This is a full-time on-site role for a Project Controller/Engineer with a brewing & distillation background in the Food & Pharma sector at SpectraA Technology Solutions Limited located in Bengaluru. The Project Controller/Engineer will be responsible for project management, site management, commissioning, and overseeing the execution of turnkey projects, equipment installations, and piping systems in breweries, spirits blending plants, and other specialized fabrication projects. Qualifications Project management, site management, and commissioning skills Experience in overseeing turnkey projects, equipment installations, and piping systems Background in brewing & distillation in the Food & Pharma sector Engineering degree or relevant qualification in the related field Strong communication and coordination skills Knowledge of process automation and electrical consultancy Ability to work in a diverse team environment Experience in procurement and production processes Show more Show less

Company Description UAE-based ZySec AI provides cutting-edge cybersecurity solutions to help enterprises tackle evolving security challenges at scale. Utilizing an autonomous AI workforce, ZySec AI enhances operational efficiency by automating repetitive, resource-intensive tasks, enabling security teams to focus on strategic priorities. Our mission is to make AI more efficient, accessible, and private for security professionals.mWe're building the future of Autonomous Data Intelligence at CyberPod AI and were looking for a deeply technical, hands-on AI Engineer to push the boundaries of whats possible with Large Language Models (LLMs). This role is for someone whos already been in the trenches: fine-tuned foundation models, experimented with quantization and performance tuning, and knows PyTorch inside out. If youre passionate about optimizing LLMs, crafting efficient reasoning architectures, and contributing to open-source communities like Hugging Face, this is your playground. Role Description Fine-tune Large Language Models (LLMs) on custom datasets for specialized reasoning tasks. Design and run benchmarking pipelines across accuracy, speed, token throughput, and energy efficiency. Implement quantization, pruning, and distillation techniques for model compression and deployment readiness. Evaluate and extend agentic RAG (Retrieval-Augmented Generation) pipelines and reasoning agents. Contribute to SOTA model architectures for multi-hop, temporal, and multimodal reasoning. Collaborate closely with the data engineering, infra, and applied research teams to bring ideas from paper to production. Own and drive experiments, ablations, and performance dashboards end-to-end. Requirements Hands-on experience working with deep learning and large models, particularly LLMs. Strong understanding of PyTorch internals: autograd, memory profiling, efficient dataloaders, mixed precision. Proven track record in fine-tuning LLMs (e.g., LLaMA, Falcon, Mistral, Open LLaMA, T5, etc.) on real-world use cases. Benchmarking skills: can run standardized evals (e.g., MMLU, GSM8K, HELM, TruthfulQA) and interpret metrics. Deep familiarity with quantization techniques: GPTQ, AWQ, QLoRA, bitsandbytes, and low-bit inference. Working knowledge of Hugging Face ecosystem (Transformers, Accelerate, Datasets, Evaluate). Active Hugging Face profile with at least one public model/repo published. Experience in training and optimizing multi-modal models (vision-language/audio) is a big plus. Published work (arXiv, GitHub, blogs) or open-source contributions preferred. If you are passionate about AI and want to be a part of a dynamic and innovative team, then ZySec AI is the perfect place for you. Apply now and join us in shaping the future of artificial intelligence. Show more Show less

Job Title: Design Engineer – Process Equipment Manufacturing Location: Mysore Company: CADIF PRIVATE LIMITED About Us: Cadif is a growing startup company engaged in the design and manufacturing of process equipment such as herbal extractors, reactors, condensers, evaporators, tanks etc and more. We cater to various industries including pharmaceuticals, chemicals, food processing, and distillation . With facilities in Mysore and Bangalore, we are expanding our team and looking for passionate professionals to join us. Key Responsibilities: Design process equipment and pressure vessels as per project specifications. Prepare detailed manufacturing drawings using CAD software (SolidWorks,). Coordinate with production and fabrication teams to ensure smooth execution. Optimize designs for manufacturability and cost efficiency. Assist in technical documentation and project tracking. Required Skills & Qualifications: Diploma/Degree in Mechanical Engineering or related field. 2–5 years of experience in equipment design, preferably in process or pressure vessel industry. Proficiency in SolidWorks. Basic knowledge of ASME/IS standards is a plus. Good communication and teamwork skills. What We Offer: Competitive salary based on experience. Exposure to diverse projects in a growing industry. Friendly and supportive work environment. Opportunity to work with experienced professionals in design and manufacturing. To Apply: Send your resume to hra@cadifindia.com. Mention "Design Engineer Application" in the subject line. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Mysuru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Exposure to Process Equipment's Designing and Modeling Education: Bachelor's (Required) Experience: SolidWorks: 3 years (Required) Process Equipment's: 3 years (Required) Language: English (Required) Location: Mysuru, Karnataka (Preferred) Work Location: In person