417 Distillation Jobs - Page 3

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact Ensure the timely completion of all project specifications, designs, drawings and requisitions for areas of responsibility assigned to him. Ensure all documentation within the scope of his responsibility is prepared, checked, reviewed and approved in accordance with the Discipline Working Instructions for the project. Carry out review of vendor’s bids and documentation for technical acceptability. Carry out inspection of equipment, when requested by Project Manager, as per relevant approved documents (like Purchase Orders, Final Vendor Drawings etc.) to ensure that equipment manufactured is in line with all approved Technical Specification. Provide technical assistance to other design groups as necessary. Detailed engineering activities for various stated equipments such as Pumps, Cooling Tower, Compressors, Pharma Machinery, Boilers, Material Handling etc., Preparation of technical specification and technical data sheet for various equipments, Preparation of technical bid evaluation, Checking of vendor drawings/design w.r.t. specification/design parameters, Able to achieve target with quality norms. Knowledge on unit operations like, distillation, filtration, heat transfer etc. Design of heat exchangers, pumps specifications, hydraulics calculations. Knowledge on utilities system such as cooling water system, Boilers, Compressed Air and Instrument Air system, Nitrogen system etc. Knowledge on tankages. Sound knowledge of Bulk specialty gases,Inert & Hazardous gases, Toxic, corrosive, and flammable gases Understanding of Exhaust abatement systems required by the specialty gas System Storage of leaking cylinders in cabinets or cylinder caskets Sound knowledge off Chemical Distribution Units Sound knowledge of Chemical Waste system Participation in 3D model reviews. Knowledge of national, international codes and standards. Vendor data reviews Should be able to lead and guide a group of engineers Understanding of Project requirements like productivity/ schedule workhour control etc. Have good understanding of requirements of the downstream groups like piping/instrumentation/mechanical etc. Good communication skills, verbal and written so as to communicate with client and lead offices. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Here's what you'll need Mechanical Engineering or Chemical Engineering degree is a must. Minimum 11 year experience in a reputed organization or a Consultancy, preferably with the following experience.

Job Summary: We are looking for a highly motivated and skilled Machine Learning Engineer with 1–3 years of experience and a strong interest in Generative AI technologies. The ideal candidate will contribute to the full lifecycle of Generative AI models — from training and optimization to deployment on AWS and inference API development. You will collaborate with a team of engineers and researchers to build cutting-edge AI-powered solutions that have real-world impact. Key Responsibilities: 1. Generative AI Model Development Design, develop, and implement Generative AI models for applications such as text, image, and code generation. Work with large language models (LLMs) or other generative models using frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. Experiment with model architectures, training techniques, and hyperparameter tuning to optimize performance. 2. Model Optimization & Efficiency Apply techniques such as quantization, pruning, and distillation to improve inference speed and reduce resource consumption. Profile and analyze model performance to identify and eliminate bottlenecks. 3. Cloud Deployment on AWS Deploy AI models to AWS using services such as SageMaker, EC2, ECS, or Lambda. Develop scalable and reliable inference pipelines. Use AWS tools for data storage, model management, and monitoring. 4. Inference API Development Design and develop efficient, secure, and scalable RESTful or gRPC APIs to serve deployed AI models. Ensure high availability, maintainability, and performance of APIs. 5. Troubleshooting & Debugging Diagnose and resolve issues related to model performance, deployment, and API functionality. Implement monitoring and logging systems to proactively manage issues. 6. Model Retraining & Continuous Improvement Implement strategies for continuous learning by retraining models with new data and user feedback. Monitor production model performance and trigger retraining workflows as needed. 7. Collaboration & Communication Work closely with ML engineers, data scientists, and software developers to drive project goals. Communicate progress, insights, and challenges effectively with stakeholders. 8. Documentation Create comprehensive documentation for models, training workflows, deployment processes, and APIs. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field. 1–3 years of hands-on experience in machine learning model development and deployment. Sound understanding of Generative AI concepts (e.g., Transformers, GANs, Diffusion Models). Experience with at least one deep learning framework: TensorFlow or PyTorch. Proficiency in Python. Solid knowledge of ML algorithms, data preprocessing, and evaluation metrics. Proven experience in deploying models on AWS. Strong skills in developing and consuming RESTful or gRPC APIs. Familiarity with Git or other version control systems. Excellent problem-solving, communication, and teamwork skills. Preferred Qualifications: Experience working with LLMs and the Hugging Face Transformers library. Knowledge of MLOps practices and related tools. Experience with Docker, Kubernetes, or other containerization technologies. Familiarity with data engineering tools and pipelines. Experience with monitoring tools such as CloudWatch, Prometheus, or Grafana. Contributions to open-source projects or notable personal AI projects. Job Type: Full-time Benefits: Health insurance Provident Fund Ability to commute/relocate: Pimple Soudagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your Notice period? Experience: Machine learning: 1 year (Required) Work Location: In person

1. Project Engineer Job title- Project Engineer (Mechanical) Company Location -K-JHIL SCIENTIFIC Pvt Ltd - Gold Refining Plant, Gold Refining Machine, PGM Refining Plant, Rose Oil Plant, Jasmine Oil Plant, Sandalwood Oil Plant, Lemon Grass Plant. Job Type-Full day Job Description Job Overview We are seeking an experienced Lead Project Engineer (Mechanical) to oversee engineering projects from planning multiple projects, initiation to completion, ensuring technical accuracy, quality, and timely delivery. Key Responsibility 1. Mechanical design, development, and implementation of engineering projects. 2. Coordinate with internal teams and clients to define project requirements and specifications. 3. Prepare detailed engineering documentation, project plans, and schedules. 4. Monitor project progress, resolve technical issues, and ensure compliance with safety standards. 5. Conduct site visits and manage installation, commissioning, and testing of mechanical systems. 6. Collaborate with vendors, contractors, and stakeholders to ensure project success. 7. Responsible for Design, Development, installation and commissioning of Chemical Process plant e.g.: Pilot plant, Gold Refining Plant, Distillation units, Fractional Distillation Unit, Liquid-Liquid Extraction unit, Mixer-Settler Extraction Unit, Glass Reactors – Mixing Vessel, Solvent Recovery & Gas Absorption System, HCL Gas Generation Plant, Solvent Recovery Plant – Recovery/Extraction From Herbs, Essential Oils and Flowers 8. Handling Customer from Project start, execution, installation, commissioning, and handover to customer. 9. Design of reactors, stirrers, vessels required for project. 10. Interacting, discussing, and guiding, Manufacturing/production team on project basis. 11. Develop innovative ways to achieve accuracy and quality in the product to deliver. 12. Observe and provide input from improvement and development of product. 13. Attend maintenance call from the customer and provide them best solution. 14. Role involves visits to sites, customers. 15. Functional Skills: Good Communication Skills, Convincing & Coordinating capabilities with strong urge to deliver. 16. Computer skills – AutoCAD, Solid Works, Microsoft Office 2013(Excel, Word, Outlook, and PowerPoint). Key Requirements: 1. Bachelor’s degree in mechanical engineering or a related field. 2. 3 to 5 years of experience in project management and mechanical engineering. 3. Strong knowledge of mechanical design, systems, and manufacturing processes. 4. Proficiency in CAD software and project management tools. 5. Excellent communication, leadership, and problem-solving skills. 6. Ability to manage multiple projects simultaneously. If you are interested, please share: hr@kjhil.com/9998830714 Updated cv along with Total Exp: Relv. Exp: Cur Sal : Exp. Sal: Notice Period: Project Engineering, Planning and Installation of machine experience - Current location: Reason for job change:

A decantation operator's role involves overseeing the separation of liquids and solids, primarily through decantation, which is a process of carefully pouring off a liquid from a mixture after solid particles have settled. This position requires knowledge of plant operations, safety procedures, and quality control, as well as the ability to maintain equipment and records. 2.A Dryer Operator in an ethanol plant is responsible for operating and maintaining drying equipment to remove moisture from the ethanol product, ensuring it meets quality standards and production targets. This role involves monitoring drying parameters, troubleshooting issues, and performing routine maintenance 3.A Distillation Operator in an ethanol plant is responsible for operating and monitoring the distillation process to produce high-quality ethanol, ensuring the process runs smoothly and efficiently within established parameters. This includes operating the DCS (Distributed Control System), collecting samples, performing tests, and making adjustments to maintain optimal conditions 4.A Fermentation Operator in an ethanol plant is responsible for operating and monitoring fermentation processes to produce ethanol. This involves setting up, operating, and maintaining equipment like fermenters, centrifuges, and distillation columns. The operator ensures the fermentation process runs efficiently and meets quality control standards.

Job Title: Process Engineer - Peptides Location: Hyderabad, Telangana, India Job Summary: We are seeking a highly motivated and experienced Process Engineer with a strong background in peptide process development, scale-up, and technology transfer. This critical role will support our business, ensuring the efficient and robust development and manufacturing of peptide molecules from lab to commercial scale. The successful candidate will leverage their expertise in downstream techniques, process optimization, and problem-solving to drive project success and contribute significantly to our clients' drug development pipelines. Key Responsibilities: Lead and execute process engineering activities for peptide molecules, including process development, scale-up, and technology transfer (R&D to pilot/commercial manufacturing). Apply in-depth knowledge of downstream techniques: preparative HPLC (ion exchange, reverse phase, normal phase), lyophilization, tangential flow filtration, nano filtration, and micron filtration. Conduct process understanding studies, generate data for unit operations (reaction, distillation, extraction, crystallization, filtration, drying), and assess process scalability. Evaluate and select plant facilities, propose modifications, and ensure timely completion of plant modifications for commercial scale, including CAPEX evaluation. Identify hardware requirements for commercial scale based on lab, kilo lab, and pilot plant data. Re-engineer difficult or hazardous unit operations using safety studies data (DSC/TGA/Reaction Calorimeter) and conduct HAZOP and risk analysis. Perform particle characterization studies (PVM, FBRM) to assess process parameter impact on morphology, particle size, and distribution; support powder processing for desired PSD. Manage batch planning, scheduling, and execution at commercial scale, including troubleshooting for timely technology transfer and delivery. Monitor pre-validation and validation batches; implement learnings/recommendations. Drive time cycle reduction and debottlenecking initiatives for peptide molecules (SPPS, purification, lyophilization). Coordinate effectively with cross-functional teams (R&D, Analytical, QA, RA, CMCQA, Production, Safety) for smooth operations and project delivery. Prepare and review technical documents: Part-C (EHS Package), PED (Process Engineering Document), technology transfer checklists, and exothermic reaction assessment reports. Contribute to capacity enhancement and cost improvement projects by optimizing processes and reducing raw material consumption. Provide technical services, process troubleshooting, and root cause investigation with robust CAPA implementation. Evaluate Request for Proposals (RFPs) and contribute to facility upgradation based on production requirements. Required Skills & Experience: Bachelor's or Master's degree in Chemical Engineering or a related field. Minimum of 3 - 8 years of hands-on operational experience in process engineering within the pharmaceutical industry. Proven expertise in peptide process development, scale-up, and technology transfer, demonstrated by successful projects involving complex peptide molecules

Technology development/Process scale-up & Engineering and must have blend/exposure of R&D in his career. Strong domain expertise in Chemical processes fundamental, experience in the area of Process development, Desing & Simulations, Process Scale-up & Engineering – Non-negotiable. Industrial experience in the Specialty chemicals/Chlorine/phosphorous/Epoxy/polymer Industry. Skills- Process Improvement, Process Development, Process Troubleshooting is a must. Scale Up/Piloting Experience is a must. ASPEN process modeling experience is a must. CFD exposure is a plus. Basic knowledge of Organic & Inorganic Synthesis and Polymer Chemistry is required. The role requires a strong focus on process equipment and unit operation performance improvements . This includes expertise in reactors, separation systems (distillation, filtration, extractor, absorber, adsorber, etc.), heat exchangers, etc. The responsibilities extend to process improvement, scale-up, and process engineering , covering conceptual and basic engineering , along with equipment rating and design, process flow diagrams (PFD), piping and instrumentation diagrams (P&ID), etc. In addition to technical proficiency, the role requires strong soft skills , such as building relationships with stakeholders and conducting plant visits to understand customer needs. Role critically requires addressing technical challenges, and drive process improvements starting from R&D based technical solution development and use of process engineering approach with plant implementation mindset . Education & Experience – M. Tech (Chemical Engineering) with 5 to 8 years of experience.

Conduct NPD, process optimization, scale-up & value engineering. Develop synthetic routes, validate methods, identify raw material alternatives. Maintain documentation. Support validation & transfers. Coordinate with QA, QC & production.

Working in shifts Optimization of manpower, machines & materials ,keep safety precautions To maintain quality, minimize lead time. To control & Record batch yield & avoid wastages on shop floor Shift communication within team members. Required Candidate profile 1) Problem solving approach 2) Interpersonal skills, 3) Good team player 4) Time management and prioritization Perks and benefits ESIC , PF AND GRATUITY BENIFITS

To underwrite mortgage business and manage the portfolio in assigned branch/location Core Responsibilities: o Review and assess a broad range of complex loan applications within defined guidelines and accordingly take decision or recommend for approval to higher authorities. o Under write proposals as per the laid down policies & procedure to honour the agreed SLAs and manage city/area business volumes. o Conduct personal discussion with customers to establish credit worthiness and ensure completion of credit/KYC documents and verification- telephonic, field & collateral visits. o Assess income to obligation ratios, loan to value ratios, in depth knowledge of rational behind calculation of ratios and its impact on loan performance over long tenures. o Maintain Portfolio MIS, Delinquency MIS and other operations related MIS of the cluster and regularly reporting the same. o Build and facilitate the best outcomes for clients by building and leveraging effective relationships with third parties o Take ownership of client queries and use industry knowledge and experience to overcome challenges and solve problems o Exceed service quality standards and strive for continuous process improvement o Undertake critical review of the credit proposals with a view to bring out the industry, business, financial, management and facility structure risk contained in the credit proposal. o Ensure collateral and other credit risk mitigation to facilitate the approving authority to take decision on the credit proposal. o Enable quick turnaround time of credit lending proposals for the mortgage business comprising of loan against property, and home loan business in close liaison with the sales team. o Undertake ongoing review of the credit exposures to ensure that the exposure continues to be bankable. o Facilitate critical review and documentation of the proposals and effectively monitor the client & collateral creditworthiness from the pre sanction to post disbursement phase & undertaking steps for risk mitigation, whenever required, while ensuring adherence to legal & documentation norms & policies o Manage the credit underwriting function of his/her branch and facilitate quick turnaround of credit lending proposals for the branch in close liaison with the local credit analysts and sales team. o Follow up and ensure recovery of quick mortality cases between 12 -18 MOV. Qualification : Graduate, Masters/Post Graduate Certifications: CA/MBA (Preferable) Location - Mumbai,Delhi,Pune,Bangalore,Hyderabad,Chennai

Work as Shift In-charge for DCS based chemical production using equipment like distillation column, reactors, filters, scrubbers, dryers, pumps etc, Ensure Safe Handing of Hazardous Chemical Emergency Preparedness Ensuring compliance of Quality and Safety Standards, Team Management, IMS/ISO Compliance Participation and compliance of Kaizen/5-S, Continuous Improvement Projects Unit Operations: Bromination, Chlorination, Hydrogenation, Distillation Preferred candidate profile Ideal candidate must be a First Class B.E/B.Tech in Chemical Engineering with 4-7 Years of experience. Must have 2 years experience as Shift Incharge in a Hazardous Chemical Manufacturing Plant

DCS Operation of Plant Equipment like Distillation Column, Multiple Reactors handling, Trouble shooting Knowledge of various pumps & valves and other field activity, Work Permit System, Safety, 5-S Required Candidate profile Candidate must be a Diploma in Chemical Engineering /B.Sc (Chemistry) with 3-7 years of experience in Chemical Manufacturing Plant. 2 Years DCS Experience is must.

AI/ML Engineer – Core Algorithm and Model Expert 1. Role Objective: The engineer will be responsible for designing, developing, and optimizing advanced AI/ML models for computer vision, generative AI, Audio processing, predictive analysis and NLP applications. Must possess deep expertise in algorithm development and model deployment as production-ready products for naval applications. Also responsible for ensuring models are modular, reusable, and deployable in resource constrained environments. 2. Key Responsibilities: 2.1. Design and train models using Naval-specific data and deliver them in the form of end products 2.2. Fine-tune open-source LLMs (e.g. LLaMA, Qwen, Mistral, Whisper, Wav2Vec, Conformer models) for Navy-specific tasks. 2.3. Preprocess, label, and augment datasets. 2.4. Implement quantization, pruning, and compression for deployment-ready AI applications. 2.5. The engineer will be responsible for the development, training, fine-tuning, and optimization of Large Language Models (LLMs) and translation models for mission-critical AI applications of the Indian Navy. The candidate must possess a strong foundation in transformer-based architectures (e.g., BERT, GPT, LLaMA, mT5, NLLB) and hands-on experience with pretraining and fine-tuning methodologies such as Supervised Fine-Tuning (SFT), Instruction Tuning, Reinforcement Learning from Human Feedback (RLHF), and Parameter-Efficient Fine-Tuning (LoRA, QLoRA, Adapters). 2.6. Proficiency in building multilingual and domain-specific translation systems using techniques like backtranslation, domain adaptation, and knowledge distillation is essential. 2.7. The engineer should demonstrate practical expertise with libraries such as Hugging Face Transformers, PEFT, Fairseq, and OpenNMT. Knowledge of model compression, quantization, and deployment on GPU-enabled servers is highly desirable. Familiarity with MLOps, version control using Git, and cross-team integration practices is expected to ensure seamless interoperability with other AI modules. 2.8. Collaborate with Backend Engineer for integration via standard formats (ONNX, TorchScript). 2.9. Generate reusable inference modules that can be plugged into microservices or edge devices. 2.10. Maintain reproducible pipelines (e.g., with MLFlow, DVC, Weights & Biases). 3. Educational Qualifications Essential Requirements: 3.1. B Tech / M.Tech in Computer Science, AI/ML, Data Science, Statistics or related field with exceptional academic record. 3.2. Minimum 75% marks or 8.0 CGPA in relevant engineering disciplines. Desired Specialized Certifications: 3.3. Professional ML certifications from Google, AWS, Microsoft, or NVIDIA 3.4. Deep Learning Specialization. 3.5. Computer Vision or NLP specialization certificates. 3.6. TensorFlow/ PyTorch Professional Certification. 4. Core Skills & Tools: 4.1. Languages: Python (must), C++/Rust. 4.2. Frameworks: PyTorch, TensorFlow, Hugging Face Transformers. 4.3. ML Concepts: Transfer learning, RAG, XAI (SHAP/LIME), reinforcement learning LLM finetuning, SFT, RLHF, LoRA, QLorA and PEFT. 4.4. Optimized Inference: ONNX Runtime, TensorRT, TorchScript. 4.5. Data Tooling: Pandas, NumPy, Scikit-learn, OpenCV. 4.6. Security Awareness: Data sanitization, adversarial robustness, model watermarking. 5. Core AI/ML Competencies: 5.1. Deep Learning Architectures: CNNs, RNNs, LSTMs, GRUs, Transformers, GANs, VAEs, Diffusion Models 5.2. Computer Vision: Object detection (YOLO, R-CNN), semantic segmentation, image classification, optical character recognition, facial recognition, anomaly detection. 5.3. Natural Language Processing: BERT, GPT models, sentiment analysis, named entity recognition, machine translation, text summarization, chatbot development. 5.4. Generative AI: Large Language Models (LLMs), prompt engineering, fine-tuning, Quantization, RAG systems, multimodal AI, stable diffusion models. 5.5. Advanced Algorithms: Reinforcement learning, federated learning, transfer learning, few-shot learning, meta-learning 6. Programming & Frameworks: 6.1. Languages: Python (expert level), R, Julia, C++ for performance optimization. 6.2. ML Frameworks: TensorFlow, PyTorch, JAX, Hugging Face Transformers, OpenCV, NLTK, spaCy. 6.3. Scientific Computing: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Plotly 6.4. Distributed Training: Horovod, DeepSpeed, FairScale, PyTorch Lightning 7. Model Development & Optimization: 7.1. Hyperparameter tuning using Optuna, Ray Tune, or Weights & Biases etc. 7.2. Model compression techniques (quantization, pruning, distillation). 7.3. ONNX model conversion and optimization. 8. Generative AI & NLP Applications: 8.1. Intelligence report analysis and summarization. 8.2. Multilingual radio communication translation. 8.3. Voice command systems for naval equipment. 8.4. Automated documentation and report generation. 8.5. Synthetic data generation for training simulations. 8.6. Scenario generation for naval training exercises. 8.7. Maritime intelligence synthesis and briefing generation. 9. Experience Requirements 9.1. Hands-on experience with at least 2 major AI domains. 9.2. Experience deploying models in production environments. 9.3. Contribution to open-source AI projects. 9.4. Led development of multiple end-to-end AI products. 9.5. Experience scaling AI solutions for large user bases. 9.6. Track record of optimizing models for real-time applications. 9.7. Experience mentoring technical teams 10. Product Development Skills 10.1. End-to-end ML pipeline development (data ingestion to model serving). 10.2. User feedback integration for model improvement. 10.3. Cross-platform model deployment (cloud, edge, mobile) 10.4. API design for ML model integration 11. Cross-Compatibility Requirements: 11.1. Define model interfaces (input/output schema) for frontend/backend use. 11.2. Build CLI and REST-compatible inference tools. 11.3. Maintain shared code libraries (Git) that backend/frontend teams can directly call. 11.4. Joint debugging and model-in-the-loop testing with UI and backend teams

Requisition ID: 7082 Location: Nagda, MP, IN, 456331 Business Unit / Group Function: Flavors and Fragrances Work Arrangement: Onsite Level of Experience: Middle management Job Highlights Main Job highlights Planning micro level operation of plant as per given production target. Coordinating with other department like maintenance, utility, HR, safety, lab, ETP, co- gen. Monitor and optimize process parameters for yield and quality. Ensure safety compliances as per norms in operation area in plant. Coordinate and implement productivity improvement and process debottlenecking projects. Training at shop floor for subordinates to enhance their skills in the plant. Ensuring the quality of finished product as per specifications. Ensure follow up of ISO guidelines & implementation of HAZOP,HACCP, FEMIQs recommendations at shop floor ( Including documentation updation. Ensure proper work permit system gets followed. Responsible for resource management for smooth functioning of the plant like raw materials, utilities etc. Requirements Here are the main requirements-: B.E. (Chemical) with 3-6 years of experience. Needs to have good knowledge of reaction, distillation, DCS operation, separation, chemical handling. Needs to have knowledge about DCS operation , operation of reactors, distillation column, ejectors, pumps , heat exchangers,Cooling tower

As a Project & Process Engineer at our Chemical manufacturing company located in Dombivli East, MIDC Phase 2, you will be responsible for a variety of key tasks. Your main duties will include process engineering and commissioning for new plants, encompassing both Brownfield and Greenfield projects. You will also conduct HAZOP sessions and prepare corresponding reports. In this role, you will be involved in the preparation of essential documents such as P&ID, PFD, and plant layouts for new projects and improvement initiatives. Additionally, you will be responsible for creating equipment lists and modifying P&IDs as necessary based on the project progress. Your expertise will be utilized in basic and detailed Engineering processes, where you will demonstrate competency in generating Design Basis, BFDs, PFDs, P&IDs, and various Process Calculations. This will involve activities like preparing, evaluating, and implementing Material & Energy Balances, as well as line sizing calculations, pump hydraulic calculations, and pump selections. Furthermore, you will contribute to the development of line lists, equipment lists, and instrument lists. Your role will also encompass participation in different unit operations such as distillation, liquid-liquid extraction, steam stripping, filtration, drying, crystallization, evaporation, and scrubbing processes. As part of your responsibilities, you will be involved in the preparation of Instrument Process Data sheets, Process Data Sheets for Pumps & Storage Tanks, Utility calculations, Utility Distribution Diagrams, and Piping Layouts. Your expertise in DCS safety, Heat Exchanger Design calculations, Pump Calculations, Cooling tower calculations, and Breather Valve calculations will be crucial for the successful completion of projects. Your thorough understanding of utility requirements for the plant will also play a vital role in ensuring efficient operations. If you are looking to join a dynamic team and contribute to the growth of our organization, we welcome your application for this challenging role. Regards, HR Darshanaa Indo Amines Limited www.indoaminesltd.com,

Job Overview We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and Skills & Qualifications : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field. 4+ years of hands-on experience in AI/ML solution development. Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT. Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG). Proficient in key AI libraries and frameworks : LLMs & GenAI : Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers NLP : SpaCy, NLTK. Vision : OpenCV, MMDetection, YOLOv5/v8, Detectron2 MLOps : MLflow, FastAPI, Docker, Git Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation. Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure. Strong communication skills and ability to convert business problems into technical Qualifications : Experience building multimodal systems (text + image, etc.) Practical experience with agent frameworks for autonomous or goal-directed AI. Familiarity with quantization, distillation, or knowledge transfer for efficient model Responsibilities : Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications. Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality. Build NLP solutions for Q&A, summarization, information extraction, text classification, and more. Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks. Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines. Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features. Optimize models for performance, cost-efficiency, and low latency in production. Continuously evaluate new AI research, tools, and frameworks and apply them where relevant. Mentor junior AI engineers and contribute to internal AI best practices and documentation. (ref:hirist.tech)

Seeking a Distillery Head for a molasses-based plant. Must oversee production, quality, compliance, and team management. 20+ yrs in distillery ops required. Strong leadership & technical skills essential. Required Candidate profile While DIFAT qualified candidate is acceptable, but one with good experience from mechanical side is preferred. Perks and benefits Accomodation with hard furnishing Car and driver

To carry out plant production in chemical plant, like batch charging, process observation, distillation etc Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Experience: total work: 3 years (Preferred) Work Location: In person

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

As a Senior Chemist in the Pharma Manufacturing Industry located in Vatva, Ahmedabad, your role will involve utilizing your M.Sc. in Organic Chemistry and 5 to 8 years of experience in API / Intermediates manufacturing within the pharmaceutical sector. Your responsibilities will include hands-on experience in the synthesis of APIs and intermediates, conducting literature searches using platforms such as SciFinder, Chemical Abstracts, Free Patent Online, and Journals. You will be involved in feasibility studies, route selection for synthesis, multi-step synthesis, yield improvement, and cost reduction strategies. Additionally, you will be responsible for tasks such as extraction, purification, distillation, lab validations, process development with strong documentation including Tech reports, process safety reports, and cost sheets. Furthermore, you will lead technology transfer from the laboratory to kilo lab and plant scale, while coordinating with IPR, Regulatory Affairs, and QA departments. Proficiency in tools like Chemdraw / Chemsketch is essential for this role. Please note that only male candidates from the Pharma Manufacturing Industry will be considered for this position. If you are seeking a challenging full-time, permanent role that requires your expertise in organic chemistry and pharmaceutical manufacturing, we look forward to receiving your application. With Regards, Himani(HR) 9377165778,

General Manager Works – Unit Head is overall responsible for Intermediate - API Plant - Technical Production And Upcoming Project if any Statutory Compliance at Chemical Plant And All departments working under him Exposure In Pharma Plant Is Must Required Candidate profile GM - Works - Unit Head will report to Managing Director Just Retired But Healthy Person is Also Preferred Liaison with All Government Authority like GPCB , GIDC , Local, State And Central Government

Responsible for shift wise production Experience all sulphonation Handling of hazardous chemicals Manpower handling Knowledge of process troubleshooting Knowledge of permit systems, JSA etc Knowledge of Vacuum system, distillation Knowledge of ISO & Plant housekeeping

Company Description Midhills Rosin and Turpenes Pvt Ltd, established in 2009, is a leading producer of pine and pine derivatives in India. Strategically located in the Shivalik mountain ranges in the Himalayas, we process close to 6000 tonnes of resin annually. Our location in key resin-producing regions like Himachal, J&K, and Uttarakhand allows us to procure raw materials efficiently and cost-effectively. We are committed to becoming a major integrated player for pine and pine derivatives in India. Role Description Salary : Rs 70,000/- per month This is a full-time on-site role for a Production Manager located in Solan. The Production Manager will be responsible for overseeing daily production operations, ensuring production targets are met, and maintaining quality standards. The role involves planning and organizing production schedules, managing and training staff, and optimizing production processes for efficiency. The Production Manager will also coordinate with other departments to ensure smooth workflow and troubleshoot any issues that arise during production. Key Responsibilities: • Plan and schedule turpentine distillation activities to meet production targets. • Oversee daily operations, monitor process parameters, and adjust as needed for optimal yield. • Ensure compliance with quality, safety, and environmental standards. • Maintain and troubleshoot equipment to minimize downtime. • Lead and train production staff; promote team efficiency and safety. • Control inventory and production costs, and report to management. Qualifications: • Bachelor’s degree in Chemical/Industrial Engineering or related field. • Experience in chemical manufacturing, preferably with distillation. • Strong knowledge of process optimization and safety protocols. • Good leadership, communication, and problem-solving skills.

About The Position Technical Service Engineers 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 includes catalyst and licensing proposals, technical service, process designs, and startup support. Key Responsibilities Provide technical service to customers of joint ventures including Chevron Manufacturing for hydroprocessing technology Lead technical service activities e.g. starting up and monitoring new and existing hydroprocessing units in facilities worldwide Advise and mentor colleagues on complex technical problems to build organizational capability in the organization Work closely with technical and commercial teams to solve customer problems and win business Improve technical tools and standardize engineering methods Travel 40% of the time 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. May include site visits and/or periodic operating data reports Participate in conceptual design studies in support of licensed unit re-vamps or debottlenecks Required Qualifications A bachelor’s degree in chemical engineering with more than 10 years relevant work experience Hydroprocessing Experience - Experience in hydroprocessing design, operations, kinetics, and data analysis. Experience working in a refinery as a process engineer responsible for monitoring and performing field activities for hydroprocessing units Process Design Experience - Must have basic knowledge of process design tools such as HYSIS or Pro/II (or similar process simulator), heat exchanger design tools, etc. Field Experience - Basic understanding of how equipment functions in the field and overall plant operation are required Interpersonal Skills – Must work constructively with others (inside and outside Chevron) to achieve positive results via the Chevron Way. Must act with integrity and honesty, accept constructive feedback well, and use recognition. Teamwork skills a must Communication Skills – Ability to communicate with clients to effectively sell our technology and represent Chevron in a positive light to outside companies. Ability to communicate well with teammates and managers during project and tech service work required Organizational/Leadership Skills – 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 Ability to design a variety of unit operations such as heat exchangers, vessels, distillation columns, etc. is a plus Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. Chevron participates in E-Verify in certain locations as required by law.

Walk in Interview for the post of Production Supervisor/Executive @ Bharuch Location on 28th July 2025 Details are as follows:- Job Location: Jambusar, Gujarat Qualification: - B. Sc. / M. Sc. (Chemistry) / Diploma (Chemical) or B.E./B. Tech in Chemical Experience for Production: 5 to 9 years Experience for Supervisor & Executive role, Interview Date: 28th July 2025 ; Monday Interview Location: Hotel Regenta Central Harimangla, Near ABC Circle, Bharuch, Gujarat 392015 E-mail- jmb.onboarding@piind.com Requirement for Production Candidates must have hands-on experience with DCS panel operation or filed operation in a DCS-operated plant Handling of multiple unit operations and processes simultaneously Knowledge of safety practices is a must. Experience in handling hazardous chemicals and solvents. Roles and Responsibilities:- 1. operational knowledge of YOKOGAVA DCS2. Production planning, control and executing batches, optimization in the plant.3. Supervising of batches charging and verification of RM quintets4. Monitoring and maintaining of the parameter as per SOP5. Handling Of solvent recovery process.6. Basic knowledge of process safety standards (MSDS) & general industry standards7. Distillation Column (Atmospheric & vacuum),8. Formulation of Final products for dispatch, packaging of the material, final products, at the warehouse.9. Operating of GLR and SS reactor, Centrifugal pump, piston pump, vacuum pump, Jet Ejector system.10. Safety Knowledge, Permit

1.Follow shift schedule and production schedule as per process requirement. 2.Handling of Fractionation process steps like plasma bags collection, sanitization washing, plasma cutting, pooling thawing. 3.Performing COP of all the vessels and equipments in plasma fractionation area. 4.Perform all the assigned manufacturing activities as per the defined procedures (SOP, BMR, Protocols) and record the details in respective document. 5.Sending the In-process samples to QC for analysis. 6.Materials should be collected from warehouse and QC. 7.Helping of plasma fractionation process steps. 8.Performing cleaning, calibration and operation of pH, conductivity meters, turbidity meter, weighing balances and other equipments. 9.Preparation of buffers and other solutions for plasma fractionation process. 10.Ensure the monitoring and performing of area cleaning, equipments surface sanitization, pressure differentials, temperature and relative humidity. 11.Process waste collection from clean rooms and the same should be sent to scrap yard. 12.Garments and shoes should be arranged into the respective change rooms. 13.Assembling and dis-assembling of centrifuge and filter press equipments. 14.To ensure adherence to safety procedure and report unsafe conditions and incidents to Supervisor.