417 Distillation Jobs - Page 16

A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers. As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. AI Engineer Overview We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI. Core Qualifications Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models) Expertise in PyTorch or TensorFlow, with a preference for experience in both Proficiency in Python and software engineering best practices for AI systems Technical Skills Required Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc. Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E) Familiarity with prompt engineering and few-shot learning techniques Expertise in MLOps and LLMOps practices, including CI/CD for ML models Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI) Preferred Proficiency in optimizing generative models for inference (quantization, pruning, distillation) Experience with distributed training of large-scale AI models Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server) Key Responsibilities Architect and implement end-to-end generative AI solutions, from data preparation to production deployment Develop custom AI models and fine-tune pre-trained models for specific client use cases Optimize generative models for production, balancing performance, latency, and resource utilization Design and implement efficient data pipelines for training and serving generative models Develop strategies for effective prompt engineering and few-shot learning in production systems Implement robust evaluation frameworks for generative AI outputs Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems Address challenges related to bias, fairness, and ethical considerations in generative AI applications Project Delivery Lead the technical aspects of generative AI projects from pilot to production Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems Conduct technical feasibility studies for applying generative AI to novel use cases Implement monitoring and observability solutions for deployed generative models Troubleshoot and optimize generative AI systems in production environments Client Engagement Provide expert technical guidance on generative AI capabilities and limitations to clients Collaborate with solution architects to design generative AI-powered solutions that meet client needs Present technical approaches and results to both technical and non-technical stakeholders Assist in scoping and estimating generative AI projects Innovation and Knowledge Sharing Stay at the forefront of generative AI research and industry trends Contribute to the company's intellectual property through patents or research publications Develop internal tools and frameworks to accelerate generative AI development Mentor junior team members on generative AI technologies and best practices Contribute to technical blog posts and whitepapers on generative AI applications The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what's possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients. 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 employ brilliant people, and we trust them to do brilliant things. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward, contributing towards career-defining projects that create essential social outcomes. Roles & Responsibilities Review & checking of documents Should be a team leader, should have handled team consisting of 5+ members Should be able to communicate with client, understand their requirements and can solve issues Review of Design Basis documents, BEP, FEED Review of Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Review & guide for Heat & Mass Balance calculations Review of Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Develop Process Control Philosophy and Control Narratives Review of Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Review & checking of Vendor drawings and documents Should be able to estimate effort for any activity Candidate Specification 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 and 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 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. 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. As a proudly employee-owned business, we’re here to benefit our clients, our communities and each other. Our shared success enables us to invest in creating a platform for everyone to feel safe and valued, empowered with the right tools and right support, in a place where fairness and integrity run deep. Whatever your ambition, Mott MacDonald is where everyone has the opportunity to be brilliant. 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): Mumbai, MH, IN Ahmedabad, GJ, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 8610 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 employ brilliant people, and we trust them to do brilliant things. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward, contributing towards career-defining projects that create essential social outcomes. Roles & Responsibilities Review & checking of documents Should be a team leader, should have handled team consisting of 5+ members Should be able to communicate with client, understand their requirements and can solve issues Review of Design Basis documents, BEP, FEED Review of Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Review & guide for Heat & Mass Balance calculations Review of Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Develop Process Control Philosophy and Control Narratives Review of Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Review & checking of Vendor drawings and documents Should be able to estimate effort for any activity Candidate Specification 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 and 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 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. 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. As a proudly employee-owned business, we’re here to benefit our clients, our communities and each other. Our shared success enables us to invest in creating a platform for everyone to feel safe and valued, empowered with the right tools and right support, in a place where fairness and integrity run deep. Whatever your ambition, Mott MacDonald is where everyone has the opportunity to be brilliant. 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): Mumbai, MH, IN Ahmedabad, GJ, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 8610 Recruiter Contact: Vrajesh Gajjar Show more Show less

We’re Hiring: Manager – AI/ML Engineering 📍 Location: Hyderabad 🕒 Employment Type: Full-Time 📅 Experience: 7+ Years Join Coschool to revolutionize learning with AI. At Coschool, we’re building a next-gen EdTech platform that’s reshaping how students learn. Our AI-first platform is designed to empower educators and support students in achieving their best. We’re now looking for a Manager – AI/ML Engineering to lead and scale our AI initiatives and shape the future of intelligent learning systems. What You’ll Do (Key Responsibilities): Lead and mentor a high-performing team of AI/ML engineers. Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. Oversee the full AI/ML project lifecycle — from data preprocessing to deployment and monitoring. Guide the team in training, fine-tuning, and deploying LLMs using methods like distillation, supervised fine-tuning, and RLHF. Collaborate with product managers, engineers, and leadership to translate business problems into ML solutions. Ensure the scalability, reliability, and security of AI systems in production. Define and enforce best practices in MLOps, model management, and experimentation. Stay on the cutting edge of AI by exploring and applying emerging trends and technologies. You’re a Great Fit If You Have: 7+ years of experience in building AI/ML solutions, with at least 2 years in a leadership or managerial role. Strong foundation in machine learning, deep learning, and computer science fundamentals. Hands-on experience deploying AI models in production using frameworks like PyTorch, TensorFlow, and Scikit-learn. Proficiency with cloud ML platforms (AWS SageMaker, Google AI, Azure ML). Solid understanding of MLOps tools and practices for model lifecycle management. Experience with LLM fine-tuning and training methodologies. Excellent problem-solving, communication, and people management skills. A proactive mindset and passion for innovation and mentorship. Preferred Skills: Experience working with generative AI frameworks. A portfolio or track record of creative AI/ML applications. Familiarity with tools for LLM orchestration and retrieval-augmented generation (RAG). Why Coschool? Real Impact: Build solutions that directly affect the lives of millions of students. Autonomy: Enjoy the freedom to innovate and execute with a clear mission in mind. Growth: Work in a fast-paced, learning-focused environment with top talent. Vision: Be part of a purpose-driven company that combines decades of educational excellence with cutting-edge AI. Show more Show less

Job Title: Biodiesel Production Manager Location: Sadikpur, Farrukhabad, Uttar Pradesh Company: P&A Bio Refinery Pvt. Ltd. Reports to: Director / Operations Head Employment Type: Full-Time Job Summary: The Biodiesel Production Manager will oversee and manage all aspects of the biodiesel production process, ensuring optimal performance, product quality, and compliance with safety and environmental standards. This role requires strong leadership, technical know-how, and problem-solving capabilities to coordinate plant operations and lead a production team. Key Responsibilities: Manage day-to-day biodiesel production activities ensuring safe, efficient, and continuous plant operations. Supervise and coordinate the production workforce including operators, maintenance staff, and quality control personnel. Monitor key production metrics (e.g., feedstock input, conversion efficiency, product yield). Maintain and improve production schedules, shift planning, and plant output targets. Ensure adherence to environmental, health, and safety regulations (EHS). Collaborate with the quality assurance team to ensure the output meets ASTM / BIS biodiesel standards. Troubleshoot technical issues in transesterification, washing, separation, and distillation processes. Maintain inventory of raw materials (e.g., methanol, ethanol, catalyst, feedstock) and finished biodiesel. Coordinate plant maintenance and shutdown activities with the engineering team. Prepare and submit daily, weekly, and monthly production reports to senior management. Train and develop plant staff on best practices, SOPs, and safety protocols. Liaise with suppliers, logistics, and lab teams to ensure seamless operations. Qualifications: Bachelor's degree in Chemical Engineering, Mechanical Engineering, Industrial Chemistry, or related field. Minimum 5 years of experience in a biodiesel, chemical, or oil processing plant. Proven experience in plant operations, process control, and team management. Knowledge of biodiesel production processes (especially transesterification, esterification, and distillation). Familiarity with quality standards such as ASTM D6751, EN 14214, or BIS standards. Proficient with Microsoft Excel, production software, and ERP systems. Skills Required: Strong leadership and people management skills Analytical thinking and process optimization abilities Effective communication and reporting skills Commitment to safety, quality, and environmental compliance Problem-solving and decision-making under pressure Working Conditions: Based at the production facility (plant site) Involves shift-based work and weekend availability as per production demands Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹35,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Morning shift Work Location: In person Expected Start Date: 02/06/2025

Job Description Job Title : AI Engineer Location : Mohali (Onsite) Shift : UK Shift (12 PM to 10 PM) Experience : 1 to 2 years Qualifications Bachelor's degree in Computer Science, Business, or a related field. Specialization or certification in AI/ML is a plus. Job Role & Responsibilities Develop and optimize predictive models for AI and ML-based features, focusing on enhancing accuracy and latency. Write clean, efficient, reusable, testable, and scalable code with a focus on best coding practices. Analyze business requirements, translate them into software components, and implement feature modifications. Design and implement high-availability, low-latency applications with data protection and security features. Profile applications to ensure optimal performance and identify potential bottlenecks. Continuously work on optimizing NLP-based models, improving both their accuracy and latency for real-world applications. Write unit test cases to ensure code quality and reliability, using appropriate testing frameworks. Continuously optimize and refactor code for improved performance, scalability, and maintainability. Skills & Expertise Strong expertise in building solutions using AI/ML/DL open-source libraries. Advanced Python programming skills. Strong problem-solving and analytical abilities. Ability to write optimized, well-documented code following best coding practices. Proficient in optimizing models for both accuracy and latency, particularly in NLP and machine learning applications. Proficient in optimizing NLP-based models, including techniques for faster inference and reduced computational cost. Familiarity with Generative AI, Large Language Models (LLM), Embeddings, Vectors, RAG (Retrieval-Augmented Generation), and Prompting. Tools & Technologies AI/ML Libraries: TensorFlow, PyTorch, Flair, BERT, DeBERTa, and other latest libraries for text analytics. Frameworks & Platforms: Streamlit, FastAPI. Specialized Tools: Ollama, Vector Databases. Profiling & Testing: Familiarity with tools for profiling applications (e.g., cProfile, Py-Spy) and writing unit tests (e.g., PyTest, UnitTest). Optimization Techniques: Techniques such as model quantization, pruning, distillation, and hardware acceleration. Technical Expertise Minimum of 1 year of hands-on experience in AI/ML/DL projects, focusing on Natural Language Processing (NLP), Named Entity Recognition (NER), and Text Analytics. Strong understanding and practical experience with deep learning techniques, including recommendation engines and advanced AI solutions. Proven experience in optimizing NLP models for accuracy and latency in production environments. Experience with Retrieval-Augmented Generation (RAG) application development and generative AI. Familiarity with Agent Prompting and its applications. Experience in AI applications within the HR domain is highly preferred. Knowledge of Reinforcement Learning is a plus. Certifications or specialization in Artificial Intelligence is highly desirable. Show more Show less

Detailed Process Understanding on Unit Operations BEP Prep Process Flow Diagram, Material Balance, Energy Balance, Standard Operating Procedure, Effluent Treatment, Process Safety Data Generation SHE, Quality, Cost and Capacity

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less

- KNOWLEDGE OF PLANT EQIUMENT LIKE REACTOR, CENTRIFUGE, DRYER ETC. - KNOWLEDGE OF SAFETY EQUIPMENT USING - EXPERIENCE OF SHIFT WORKING

We are looking for a highly skilled Data Scientist with 2-3 years of experience who has worked extensively with Large Language Models (LLMs) and retrieval methods. You will be responsible for building, fine-tuning, and deploying AI models to solve complex NLP challenges. The ideal candidate has hands-on experience in finetuning, optimizing, and implementing LLM-based solutions in real-world applications. Typical work week look like:- Research, fine-tune, and deploy LLMs and other Transformer-based architectures for various NLP tasks. Design and implement custom training pipelines for domain-specific models. Optimize model performance, including prompt engineering, quantization, distillation, and retrieval-augmented generation (RAG). Work with Hugging Face, OpenAI, and other open source foundational model APIs to build scalable solutions. Develop and maintain data pipelines for model training and evaluation. Collaborate with engineering teams to integrate AI models into production systems. Conduct experiments and analyze results to continuously improve model accuracy and efficiency. Stay up to date with cutting-edge advancements in generative AI, LLMs, and NLP. Our ideal candidate should have:- 2+ years of hands-on experience in data science, with a focus on NLP and deep learning. Strong knowledge of Transformer architectures (BERT, GPTs, T5, LLaMA, etc.). Experience in fine-tuning and deploying LLMs using PyTorch, TensorFlow. Proficiency with Hugging Face Transformers, LangChain, OpenAI API, or similar frameworks. Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow). Experience with vector databases (Pinecone, ChromaDB) and retrieval-augmented generation (RAG). Knowledge of cloud platforms (AWS, GCP, Azure) and ML model deployment strategies. Familiarity with MLOps practices, including model monitoring, versioning, and CI/CD for ML. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with multi-modal models (e.g., Whisper, DALL·E). Exposure to LLM inference optimization techniques like quantization, pruning, and knowledge distillation. Experience working on chatbots, conversational AI, or document intelligence solutions. What you can expect from ORI:- Opportunity to work on cutting-edge AI/ML projects. A collaborative, innovation-driven work environment. Passion & happiness in the workplace with great people & open culture with amazing growth opportunities. An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences. Freedom to pursue your ideas and tinker If you are passionate about LLMs and pushing the boundaries of AI, we’d love to hear from you! Show more Show less

1) Ability to work on GLR & SSR Reactors. 2) Self starter and requires minimum supervision. 3) Maintaining BPR / Log books as per GMP norms. 4) Support to scale up and Validation of new products. 5) Handling of manpower and ability to work in shifts and at multiple locations. 6) Handling of Operations, like batch charging, workup, extraction, Separation, filtration, drying housekeeping etc. 7) Ability to work in a team oriented environment and deliver timely results. 8) Should have good working knowledge of Reactors, Centrifuge, Filters, Heat Exchangers, Dryers, Pumps etc.

Job Title: Generative AI Engineer Role Overview We are looking for a highly skilled Generative AI Engineer with deep experience in building and deploying AI agent-based systems, Retrieval-Augmented Generation (RAG) frameworks, and working with large language models (LLMs). The ideal candidate will bring hands-on experience with AWS Bedrock and other Gen AI platforms, with a proven ability to fine-tune foundation models and develop domain-specific LLMs. This role offers the opportunity to work at the forefront of applied AI, solving real-world problems through intelligent, adaptive, and scalable AI solutions. Key Responsibilities AI Agent Development: Design and implement multi-agent AI systems capable of orchestrating reasoning, planning, and task execution using LLMs. RAG Frameworks: Build and optimize Retrieval-Augmented Generation pipelines using vector databases and LLMs to improve contextual understanding and response generation. LLM Fine-Tuning & Customization: Fine-tune and customize foundation models (e.g., Claude, Llama, Titan, Falcon) for enterprise-specific use cases and domains. Infrastructure Integration: Leverage AWS services (including Bedrock, SageMaker, Lambda, Step Functions) to scale and deploy generative AI solutions efficiently and securely. Model Evaluation & Governance: Define accuracy metrics, evaluate model performance, and ensure compliance with security, privacy, and ethical standards. Collaboration and team management: Work closely with product managers, data scientists, MLOps engineers, and domain SMEs to translate business needs into scalable Gen AI applications. Required Skills Strong experience with Gen AI ecosystems – including Bedrock, HuggingFace, LangChain, or similar. Proven expertise in LLM fine-tuning, prompt engineering, and building domain-specific models. Hands-on experience with agentic AI systems and RAG architecture (e.g., using tools like LangGraph, Haystack, or DSPy). Solid programming experience in Python and frameworks such as PyTorch or TensorFlow. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) for retrieval components. Familiarity with AWS AI/ML stack, including security and deployment best practices. Preferred Qualifications Master’s or PhD in Computer Science, Machine Learning, or a related field. Minimum 5 years of experience in building AI/ML projects Experience building AI-powered copilots, assistants, or autonomous agents in real-world production environments. Knowledge of LLM evaluation techniques, model distillation, and optimization. Strong understanding of LLM limitations, hallucinations, and guardrails. Excellent problem-solving and communication skills, with the ability to convey complex AI concepts to non-technical audiences. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. Principal Engineer – Machine Learning We are looking for a Principal AI/ML Engineer with expertise in model inference , optimization , debugging , and hardware acceleration . This role will focus on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across diverse hardware platforms. In addition to hands-on engineering, this role involves cutting-edge research in efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques . You will explore and implement state-of-the-art AI acceleration methods while collaborating with researchers, industry experts, and open-source communities to push the boundaries of AI performance. This is an exciting opportunity for someone passionate about both applied AI development and AI research , with a strong focus on real-world deployment, model interpretability, and high-performance inference . Education & Experience 20+ years of experience in AI/ML development, with at least 5 years in model inference, optimization, debugging, and Python-based AI deployment. Master’s or Ph.D. in Computer Science, Machine Learning, AI Leadership & Collaboration Lead a team of AI engineers in Python-based AI inference development. Collaborate with ML researchers, software engineers, and DevOps teams to deploy optimized AI solutions. Define and enforce best practices for debugging and optimizing AI models Key Responsibilities Model Optimization & Quantization Optimize deep learning models using quantization (INT8, INT4, mixed precision etc), pruning, and knowledge distillation. Implement Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) for deployment. Familiarity with TensorRT, ONNX Runtime, OpenVINO, TVM AI Hardware Acceleration & Deployment Optimize AI workloads for Qualcomm Hexagon DSP, GPUs (CUDA, Tensor Cores), TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Leverage Python APIs for hardware-specific acceleration, including cuDNN, XLA, MLIR. Benchmark models on AI hardware architectures and debug performance issues AI Research & Innovation Conduct state-of-the-art research on AI inference efficiency, model compression, low-bit precision, sparse computing, and algorithmic acceleration. Explore new deep learning architectures (Sparse Transformers, Mixture of Experts, Flash Attention) for better inference performance. Contribute to open-source AI projects and publish findings in top-tier ML conferences (NeurIPS, ICML, CVPR). Collaborate with hardware vendors and AI research teams to optimize deep learning models for next-gen AI accelerators. Details Of Expertise Experience optimizing LLMs, LVMs, LMMs for inference Experience with deep learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Advanced skills in model quantization, pruning, and compression. Proficiency in CUDA programming and Python GPU acceleration using cuPy, Numba, and TensorRT. Hands-on experience with ML inference runtimes (TensorRT, TVM, ONNX Runtime, OpenVINO) Experience working with RunTimes Delegates (TFLite, ONNX, Qualcomm) Strong expertise in Python programming, writing optimized and scalable AI code. Experience with debugging AI models, including examining computation graphs using Netron Viewer, TensorBoard, and ONNX Runtime Debugger. Strong debugging skills using profiling tools (PyTorch Profiler, TensorFlow Profiler, cProfile, Nsight Systems, perf, Py-Spy). Expertise in cloud-based AI inference (AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi). Knowledge of hardware-aware optimizations (oneDNN, XLA, cuDNN, ROCm, MLIR, SparseML). Contributions to open-source community Publications in International forums / conferences / journals Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072372 Show more Show less

Jubilant Life Sciences Limited is one of the India's leading corporate and a highly treasured brand throughout the world. The organization has a presence in the fields of Pharma and Life Sciences, Agri & Performance Polymers, Food & Retail, Oil & Gas and Services. Jubilant Life Sciences Limited is an integrated global pharmaceutical and life sciences Company engaged in Pharmaceuticals, Life Science Ingredients and Other businesses including Drug Discovery Solutions and India Branded Pharmaceuticals. The Pharmaceuticals segment, through its wholly owned subsidiary Jubilant Pharma Limited, is engaged in manufacturing and supply of APIs, Solid Dosage Formulations, Radiopharmaceuticals, Allergy Therapy Products and Contract Manufacturing of Sterile Injectable and Non-sterile products through 6 USFDA approved manufacturing facilities in the US, Canada and India and a network of over 50 radio-pharmacies in the US. The Life Science Ingredients segment, is engaged in Specialty Intermediates, Nutritional Products and Life Science Chemicals through 5 manufacturing facilities in India. The Drug Discovery Solutions business, provides proprietary in-house innovation & collaborative research and partnership for out-licensing through 2 world class research centers in India. Jubilant Life Sciences Limited has a team of around 7,700 multicultural people across the globe and is committed to deliver value to its customers across over 100 countries. The Company is well recognized as a ‘Partner of Choice’ by leading pharmaceuticals and life sciences companies globally. Ranked No. 6 amongst top 10 Global Pharmaceutical outsourcing players as per UNCTAD World Investment Report 2011 Reputed and High Quality relationships with 19 out of the top 20 Pharmaceutical companies, and 6 out of the top 10 Agrochemical companies globally Vision To acquire and maintain global leadership position in chosen areas of businesses To continuously create new opportunities for growth in our strategic businesses To be among the top 10 most admired companies to work for To continuously achieve a return on invested capital of at least 10 points higher than the cost of capital. Our Promise We will, with utmost care for the environment and society, continue to enhance value for our customer by providing innovative products and economically efficient solutions; and for our stakeholders through growth, cost effectiveness and wise investment of resources. Kindly refer www.jubl.com for more information about organization. Position Production Chemist Business Unit / Function AC2O Location Bharuch Reports to Shift In Charge Summary Summary of Job To ensure the shift plant operation as per SOP’s and work instructions. Key Responsibilities (Performance Indicators) To maintain the logbook and shift report. To operate the plant as per SOPs. To note down all the plant readings regularly and record in log sheet. Loading & unloading of the materials from drums, tanks & receivers as per the SOP. Maintaining alertness & keeping Shift in-charge posted about any abnormality in the plant. To make use of all the personnel protective equipment and maintain proper housekeeping in plant. Planned transfer/unloading of raw materials and dispatch of the finish goods. To analyze all process samples as per the quality plan to control process parameters. To collect the all process samples as per instruction of Shift In-charge along with all necessary safety precautions. To transfer the raw materials as per requirements. In addition to the above jobs, the management may assign any other responsibility as and when required. Awareness about responsible care ( Environment, Health, Safety and Security ) No. of Reportees Nil Qualification & Experience Diploma – Chemical Engineer or B.Sc. in Chemistry 3 – 5 years of experience in Continuous chemical process / batch process plant. Key Competencies (Technical, Functional & Behavioral) Operating knowledge of Continuous chemical process / batch process. Working knowledge of Reactors, filters, centrifuges in the batch process. Adherence to quality / Safety norms. Knowledge of DCS / PLC based plant operation. Knowledge of distillation operation. Material handling (Toxic / hazardous). Show more Show less

Job Title: AI Researcher – Large Language Models (LLMs) Workplace Type: Work from Office @ Hyderabad Location: Hyderabad, Telangana, India Job Type: Full-Time About Us: We are a well-funded stealth-mode AI startup on a mission to redefine the boundaries of artificial intelligence. Our team is working on next-generation large language models (LLMs) and AI systems that empower businesses with state-of-the-art solutions. Our projects focus on: Training and Fine-Tuning Large Language Models (LLMs) Pioneering AI-Powered Solutions Advancing the Future of AI Technology If you're driven to work at the cutting edge of AI research and love tackling complex problems, this is the opportunity for you! About the Role: We are seeking an AI Researcher with a passion for developing and fine-tuning large language models (LLMs). In this on-site role based in Hyderabad, you’ll contribute to the core AI team, working on groundbreaking projects in natural language processing and generative AI. This role is perfect for someone with 2+ year of hands-on experience who is eager to make a big impact in a fast-paced, innovative environment. Key Responsibilities: Develop, fine-tune, and optimize large language models (LLMs) for various applications. Conduct research on cutting-edge methods in NLP, transformers, and generative AI. Design and implement training pipelines using frameworks like PyTorch or TensorFlow . Work on data preprocessing and augmentation to enhance model performance. Evaluate models using advanced metrics and iterate to improve accuracy, efficiency, and scalability. Collaborate with cross-functional teams to deploy models in production environments. Experiment with and implement state-of-the-art techniques such as LoRA , quantization , or knowledge distillation for efficient model fine-tuning. Stay updated with the latest research papers and advancements in the field of AI and NLP. What We’re Looking For: Education & Experience: A Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. 2+ year of hands-on experience in training and fine-tuning large-scale NLP models or related AI research. Technical Skills: Frameworks : Expertise in deep learning frameworks like PyTorch or TensorFlow . LLM Experience : Hands-on experience with models like GPT, BERT, T5 , or similar transformer-based architectures. Data Handling : Strong skills in preparing, cleaning, and processing large text datasets. Optimization Techniques : Familiarity with fine-tuning methods such as LoRA, Prompt Tuning , or Adapter Training . Evaluation : Knowledge of advanced metrics for NLP tasks (e.g., BLEU, ROUGE, perplexity). Programming : Proficiency in Python and relevant libraries (e.g., Hugging Face Transformers, NumPy, Pandas). Distributed Training : Exposure to multi-GPU training or distributed frameworks is a plus. Bonus Skills: Familiarity with model deployment using frameworks like ONNX , FastAPI , or Docker . Knowledge of efficient model compression techniques (e.g., quantization or pruning). Research contributions (publications, open-source projects) in the field of AI or NLP. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to articulate technical concepts effectively. A collaborative mindset with the ability to thrive in a fast-paced, innovative team. What We Offer: Opportunity to work on cutting-edge AI projects and shape the future of LLMs. A competitive salary and benefits package. A dynamic, research-driven work environment that encourages creativity and innovation. Ready to Build the Future of AI? If you’re passionate about AI research and eager to work on groundbreaking projects, we’d love to hear from you! Show more Show less

About Lubrizol The Lubrizol Corporation, a Berkshire Hathaway company, is a specialty chemical company whose science delivers sustainable solutions to advance mobility, improve wellbeing and enhance modern life. Founded in 1928, Lubrizol owns and operates more than 100 manufacturing facilities, sales, and technical offices around the world and has about 8,000 employees. For more information, visit www.Lubrizol.com. We value diversity in professional backgrounds and life experiences. By enabling a consistent, unbiased, and transparent recruitment process, Lubrizol seeks to create a positive experience for candidates so we can get to know them at their best. We recognise unique work and life situations and offer flexibility, ensuring our employees feel engaged and fulfilled in every aspect of life. Summary Of The Role Enquiries related to mechanical – static equipment, from all the Lubrizol sites will be directed to this position & with his knowledge and expertise, this position is responsible to provide effective solutions and recommendations. The solution & recommendations for all the engineering aspects such as support while selection & design stage, preventive maintenance, reliability of equipment, help trouble shoot - diagnosing issues in case of repetitive failure, performance challenges & improvements opportunities for all type of mechanical -static equipment. This position is also responsible to leverage GCC capabilities to drive improve operational safety, achieve cost reduction by collaborating with global stakeholder within operation and procurement organization. This position is always updated with all the engineering standards, codes, Fabrication methods, latest industrial practices, new developments for the Static equipment used in the chemical process industry. This position will collaborate & engage with diverse team / experts within and outside Lubrizol, to seek correct solution / recommendations in timely manner. Responsibilities Lead the GCC capabilities in terms of providing solutions and suggesting recommendations on mechanical engineering aspects for all the inquiries received for mechanical equipment -static from various Lubrizol sites. Provide in time and most appropriate solutions / recommendations towards the problems and issues requested by engineering, maintenance and operation teams from various LZ sites. For Static Equipment- Continuously build the expertise, knowledge center with global engineering standards, fabrication codes such as (ASME, API, OSHA, ANSI, NFPA, PIP etc.), fabrication methods. Update self & team to improve GCC capabilities with new developments, latest industrial best practices, new equipment, evaluating performance parameters. Establish and maintain contacts with external subject matter experts-SME on unique equipment, critical material of constructions, special equipment construction, fabrication and operation so that this expertise can be readily utilized towards troubleshooting as and when required. Continuously interact and build the relationship with various LZ site engineering maintenance and operation team members To understand their repetitive problems, challenges, limitations so that effective solutions can be provided in timely manner. To explore opportunities for saving – standardization in coordination with procurement team. Maintain cordial cross functional relationship with other engineering team at GCC to leverage the solution providing capabilities of GCC. Keep the supervisor informed & take guidance to ensure the suggestions - recommendations provided are effective, optimum, best possible for under the situation. Be a part of large global team, ready to support across all the global sites all the time. Requirements (education, experience, competencies, and specific job requirements): Education, Experience & Industry Type BE / ME Mechanical engineer from a reputed university. 15+ years of overall experience. Last assignment (minimum 8 years) for mechanical engineering – preferably focus on static equipment streams in a consulting firm or design / technical services department of a large specialty chemical process industry Candidate should have ~ 5 years of actual field / shopfloor relevant experience in large specialty chemical process industry Strong and proven, in-depth, core expertise on the subject that makes him capable for the role & as well as capable for guiding / supporting – various Lubrizol site maintenance, operation, project & procurement team members. Experience in a Global organization environment will have clear advantage. Adequate working knowledge of Microsoft Office (also including Power point for presentations & spread sheets), Various forms of database Experience And Skills Static Equipment specialist with hands on, thorough in-depth knowledge and experience / exposure on typical process industry Equipment- Static Equipment listed below. Pressure vessels, Autoclaves, Jacketed vessels, LPG bullet, Liquid CO2 – Liquid N2 storage tanks. Silos, large chemical storage tanks up to 1000 KL Heat exchanges -Shell & Tube, PHE & other Cyclone separator, Liquid separators. Distillation column, Packed column scrubber, Dryers, FBD, Venturi scrubber, Surge tanks, Knock out pots, Demister, Deaerators, Static Mixers, Candidate is expected to have experience / exposure to at least 80% of the above listed equipment Candidate himself should have direct involvement, during some stage of his experience in detailing, specification, finding solutions – troubleshooting, interacting with vendors for the above listed equipment. Proficient in various codes for Mechanical Engineering (ASME, API, OSHA, ANSI, NFPA, PIP- Process Industry Practice etc.) Ability to understand the problem / requirements through remote interaction, asking prompt questions, analyzing provided data. Earlier experience of dealing / interacting with renowned local and global process equipment manufacturers and consulting firms is preferred. Attention to detail and accuracy, particularly understanding problems & exploring correct solution, suggesting optimum options / recommendation. Strong communication and interpersonal skills to effectively collaborate with the team & other LZ stake holders. Ability to work independently and collaboratively in a team environment. Analytical thinking and problem-solving abilities. Ready for your next career step? Apply today and let's shape the future together! It’s an exciting time to be part of Lubrizol. Lubrizol is not staying put. We are continually learning and evolving. Our passion delivers our success — not only for Lubrizol but for those who count on us every day: our employees, customers and communities. We work with a relentless commitment to operate safely and responsibly, keeping safety, sustainability, ethics, and compliance at the forefront of everything we do. The well-being of our employees, customers and communities is paramount to our culture and in the way we approach our work. As a diverse, global team, we work together to solve some of the world’s most pressing challenges. We impact everyday lives through science only Lubrizol can deliver, and we never stop pushing to do it better. One of the founding principles of The Lubrizol Corporation more than 90 years ago was treating every employee with dignity and respect. That same commitment is only stronger today. More than that, we are committed to providing an environment where every employee can be the best they can be, no matter their ethnic origin, religion, sex, national origin, sexual orientation, gender identity, disability or any other characteristic. Show more Show less

Job Description Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. About Jubilant Ingrevia Limited JubilantIngreviaisnowamemberoftheeliteGlobalLighthouseNetwork(GLN) oftheWorldEconomicForum(WEF) Jubilant Ingrevia history goes back to 1978 with the incorporation of VAM Organics Limited, which later became Jubilant Organosys and then Jubilant Life Sciences and now demerged to an independent entity as Jubilant Ingrevia Limited, which is listed in both the stock exchanges of India. Over the years, company has developed global capacities and leadership in chosen business segments. Ingrevia is born out of a union of ‘Ingredients’ and ‘Life’ (‘Vie’ in French). Jubilant Ingrevia Limited is committed to offering high-quality and innovative life science ingredients to enrich all forms of life. Jubilant Ingrevia, a global integrated Life Science products and Innovative Solutions provider serving, Pharmaceutical, Nutrition, Agrochemical, Consumer and Industrial customers with our customised products and solutions that are innovative, cost-effective and conforming to excellent quality standards. Jubilant Ingrevia Limited offers a broad portfolio of high-quality ingredients that find application in a wide range of industries. Jubilant Ingrevia’s portfolio also extends to custom development and manufacturing for pharmaceutical and agrochemical customers on an exclusive basis. Ourbusinessissplitacross3businessverticals,withgloballeadership acrossourkeyproductlines. Speciality Chemicals: The Specialty Chemical business of Jubilant Ingrevia manufactures Pyridine, Picolines and its forward integration derivatives, which finds application in agrochemicals, pharmaceuticals, dyes, solvents, metal finishes, fine chemicals, semiconductors etc. We have also launched new platform of Diketene & its value-added derivatives for multiple industry use. We are an established ‘partner of choice’ in CDMO, with more investment plans in GMP & Non-GMP multi-product facilities for Pharma, Agro and Semi-conductor customers. Chemical Intermediates: The Chemical Intermediates business has acetic anhydride and value added anhydrides and aldehydes catering to various industries. Nutrition & Health Solutions: The Nutrition & Heath Solutions business unit offers B3 & Picolinates (Chromium & Zinc) which are fully backward integrated. Our ingredients find application in animal nutrition, human nutrition, personal care, etc. We provide high-quality feed & food additives having application in poultry, dairy, aqua & pet food industry. In Human Nutrition & Health Solutions, we offer food ingredients & premix solutions to nutrition. Jubilant Ingrevia Limited is supported by five state-of-the-art manufacturing facilities in India. We practice world-class manufacturing processes in our day-to-day operations, assuring our customers with unmatched quality and timely delivery of products through innovations and cutting-edge technology. Transforming Manufacturing for Operational Excellence & Sustainability with “zero tolerance to any non-compliance” is the core focus of Jubilant Ingrevia Manufacturing. We have 5 world-class manufacturing facilities i.e. One in UP at Gajraula, Two in Gujarat at Bharuch and Savli, Two in Maharashtra at Nira and Ambernath. Environment Sustainability The company is committed to environmental sustainability and supports green chemistry by prioritising the use of bio inputs in manufacturing. Jubilant is one of the world’s largest producers of Acetaldehyde from the bio route. Find out more about us at www.jubilantingrevia.com The Position Organization : - Jubilant Ingrevia Limited Designation & Level: - Senior Research Associate (A4) Location : - Gajraula Reporting Manager: - Group Leader-Chemical Research Direct Reports (Optional): - NA Team Size (Optional): - NA Matrix Relationship (Optional): - NA Key Responsibilities Literature Search: Conduct literature searches through patents, journals, SciFinder, and other relevant sources to gather necessary information for projects. Laboratory Experiments: Perform laboratory experiments as per assignments, ensuring accuracy and adherence to protocols. Handling Hazardous Gases: Demonstrate knowledge and practical experience in handling hazardous gases such as chlorine, AHF, hydrogen, and nitrogen safely. Chemical Reactions: Apply practical knowledge of Halogenation, nitration, H igh pressure reac tion, reduction, and other basic reaction chemistries in experimental procedures. Plant Troubleshooting: Troubleshoot issues related to existing chlorinated products in the plant, providing effective solutions to maintain production efficiency. Basic Unit Processes: Understand and operate basic unit processes such as reaction, distillation, filtration, and drying. Material Safety Data Sheets (MSDS): Interpret and apply information from Material Safety Data Sheets to ensure safe handling and use of chemicals. Software Proficiency: Utilize software tools such as BAAN, ELN, and SAP for data management and process documentation. R&D Lab Indenting: Manage the indenting of R&D lab items, ensuring timely procurement and availability of necessary materials. ISO Documentation: Maintain and update ISO documentation to ensure compliance with quality standards. Team Coordination: Coordinate and cooperate effectively with subordinates and other team members to achieve project goals. Safety and Compliance: Adhere to safety rules and regulations, implementing good laboratory practices to maintain a safe working environment The Person Education Qualification: M.Sc. in Organic Chemistry Industrial Experience: 6-8 years of relevant experience. Desirable Experience: Proven work experience in organic synthesis, with a focus on chlorination, reduction, and oxidation reactions. Proficiency in interpreting and analysing chromatograms from GC (Gas Chromatography), GC-MS (Gas Chromatography-Mass Spectrometry), HPLC (High-Performance Liquid Chromatography), LC-MS (Liquid Chromatography-Mass Spectrometry), and KF (Karl Fischer) Apparatus. What’s on Offer: Opportunity to work with a leading company in the chemicals sector. Career growth opportunities in a rapidly evolving industry Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances. To know more about us, please visit our LinkedIn page: https://www.linkedin.com/company/jubilant-bhartia-group/ Show more Show less

Job Title: Executive/ Sr. Executive- Shift In-Charge – Downstream Processing Experience Required: 6–12 years (in API / Biotech / Fermentation-based industry preferred) Job Summary: The Person will be responsible for independently managing operations during the shift, ensuring smooth and compliant execution of downstream processes including microfiltration, centrifugation, separation, crystallization, and drying. The candidate should have hands-on experience and strong troubleshooting skills with critical equipment such as microfiltration system, decanters, cell separators, polishing separators , vacuum distillation, centrifuges, ANFDs (Agitated Nutsche Filter Dryers), and crystallizers. The role demands adherence to cGMP, EHS norms, and timely documentation. Qualification: B.Sc. / M.Sc. (Chemistry / Biotechnology) or B.Tech. (Chemical Engineering / Biotechnology) Show more Show less

Position Details Principal Software Engineer, Gen-AI Search Relevance Location: Noida, UP, UP Openings: 1 Salary Range: Description: Job Title: Principal Software Engineer- GEN AI The Opportunity Your Gateway to Procurement Excellence! Are you ready to elevate your procurement strategy to new heights? At Instant Markets, a venture of Instant Systems Inc., InstantMarkets offers unparalleled access to various procurement opportunities, ensuring you stay ahead in the competitive landscape. InstantMarkets offers comprehensive access to active and past opportunities, including RFPs, RFQs, RFIs, and more. Our platform ensures you never miss a chancewhether it's a public sector contract, MBE/WBE set-aside, or a lucrative purchase order or you're seeking new business prospects or monitoring competitive bids, our advanced search capabilities empower you to find opportunities that align perfectly with your products and services. Stay ahead of the curve with real-time email notifications, ensuring you never miss a potential opportunity. Gain strategic insights by analyzing historical data, enabling you to fine-tune your approach and enhance your chances of success in every bid. Best of all, InstantMarkets is completely free, offering unlimited access without any subscription fees. Visit our website at www.instantmarkets.com to learn more. Role Overview Were looking for a Principal Software Engineer who thrives at the intersection of machine learning, deep learning, and natural language understanding to solve real-world search relevance challenges using Generative AI. If you're passionate about addressing lexical gaps, enhancing semantic text understanding, and overcoming data sparsity, this is your opportunity to lead innovation in intelligent search systems. Youll be building solutions that go beyond traditional keyword search, working on cutting-edge systems that understand user intent and optimize ranking in high-scale environments. What Youll Do Architect and implement semantic search and ranking systems that bridge the lexical gap using deep neural models and embeddings. Tackle challenges in sparse data environments by designing robust generalization strategies using pretrained models and knowledge distillation. Apply advanced NLP and LLM techniques to develop and refine query understanding, document retrieval, and ranking pipelines. Work on context-aware and intent-based search to improve user satisfaction across products. Collaborate with applied scientists, product managers, and engineers to translate research into production-grade systems. Evaluate model performance using both offline metrics (e.g., NDCG, MAP) and online A/B testing for continuous improvement. Drive innovations in recommendation systems by building hybrid models combining collaborative filtering with semantic understanding. Who You Are: 36 years of experience in Search/NLP/Machine Learning/Recommendation Systems. Strong foundation in ML/DL algorithms (classification, ranking, embeddings, transformers). Solid understanding of challenges like lexical gap, polysemy/synonymy, and semantic matching. Proven experience working with sparse or long-tail data in production settings. Hands-on with vector search technologies (e.g., FAISS, Pinecone, Weaviate). Proficiency in Python, with exposure to libraries like PyTorch, TensorFlow, Hugging Face, Scikit-learn, etc. Familiarity with ranking models (pairwise, listwise), feature engineering, and evaluation techniques. Knowledge of retrieval-augmented generation (RAG) and LLM integration into search pipelines. More About Instant Systems Inc.: Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at https://in.instantsys.com Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements: The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

Who We Are TAPI is the leading international supplier of active pharmaceutical ingredients (APIs). With the industry's broadest portfolio including over 350 API products. We are the go-to global supplier for APIs, supporting 80% of top 50 global pharmaceutical companies. We are proud of our reliable history in the generic API industry dating back over 80 years, and the fact we are considered to be one of the most trusted API suppliers, these enable TAPI to lead the industry, based on our experience, expertise, technologies, and exceptional customer service. Our employees are at the core of our success. Our Headquartered is in Israel, TAPI employs more than 4,000 professionals at 14 sites worldwide. Our state-of-the-art production facilities are located in Italy, Hungary, the Czech Republic, Croatia, Israel, Mexico and India. Our significant ongoing investment in R&D generates a steady flow of APIs, enabling timely introduction of new products to market. How You’ll Spend Your Day Responsible on-Site product transfer & New Product transfer, scale-up, proposals, Capex evaluations & Process Engineering calculations Improvement in the yield, efficiency and cost effectiveness of developed API’s by introducing new Technologies and further development of process fine tuning Extensive experience in API manufacturing with a deep understanding on Scale-up. Troubleshooting the plant related problems, to overcome the process related difficulties for smooth production Contribute novel ideas by way of participation during technical discussion with superiors/ Colleagues Cycle time reduction, Capacity enhancement and making capacity increase proposals with the support of site CFT members/ leads. Ability to manage 4-5 Engineers coaching, career development and build high performing, engaged and effective teams through motivation and inspiration Person will be expected to support chemistry projects to develop the process engineering knowledge and lead the transfer from lab to scale-up lab and further to production scale Experience on handling CDMO products will be an advantage Person will have demonstrated expertise in the scale-up and process understanding of chemical process unit operations in the manufacture of APIs, intermediates and raw materials. Experience in Quality by Design, process safety, technology transfer and commercial production would be advantageous. Person will be responsible to execute trial and validation batches and support in related activities at plant in the time of scale up In-depth, hands-on expertise and up-to-date knowledge of a wide range of chemistry unit operations such as reactions, distillation, separation, filtration and drying. Strong scientific track record, ability to handle several projects in different stages of development at the same time. Person will be responsible to Investigate and troubleshoot in case of issues in scale up/validation and support troubleshooting activities in case of issues in scale up/validation batches Responsible to use process modelling tools like Dyno Chem, VISMIX for reaction, crystallization, filtration, solubility and mixing studies Good knowledge on solvent recovery & recycle by using latest technologies etc Your Experience And Qualifications B. Tech/ M. Tech Chemical (Regular from reputed Institute) 14-16 Years experience & 5 years in people management Excellent communication skills to interact internally with project teams and externally with customers Good project management and supervisory skills. Collaboration and influencing skills to build partnerships with the other disciplines, similar groups, Conscientious with a can-do attitude and thorough attention to detail. A team player & Competent in the use of key process engineering and modelling software packages Equivalent experience in a Process, Synthetic Chemistry or Manufacturing environment. Experience in working to GMP. Experience in the application of Process Safety to the design of chemical processes Reports To Associate Director, MS&T Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws. Show more Show less

SUMMARY Job Title - Distillery Operations Supervisor We are seeking a skilled Distillery Operations Supervisor to oversee the daily operations of our distillery, ensuring the production of high-quality spirits while maintaining a safe and efficient work environment. The ideal candidate will have a strong background in distillation processes, team leadership, and compliance with industry regulations. Responsibilities: Supervise and coordinate daily distillery operations, including fermentation, distillation, and blending processes. Monitor and control process parameters to ensure quality and yield standards are consistently met. Provide guidance and leadership to production workers, technicians, and operators across shifts. Ensure strict adherence to SOPs, GMP, HACCP, and safety protocols at all times. Manage inventory of raw materials and coordinate timely requisitions to support production schedules. Record and report production data, batch performance, downtime, and quality metrics. Coordinate routine maintenance checks and equipment servicing with maintenance teams. Ensure compliance with statutory requirements, including Excise regulations and environmental norms. Troubleshoot process deviations and implement corrective and preventive actions (CAPA). Collaborate with quality control and lab teams for process sample analysis and quality assurance. Contribute to the training and upskilling of junior staff and workers. Maintain high standards of hygiene and sanitation across the production floor. Requirements Minimum 10 years of experience in distillery operations. Diploma in a relevant field. Strong leadership and communication skills. In-depth knowledge of distillation processes and industry regulations. Ability to work effectively in a fast-paced production environment. Strong problem-solving and decision-making abilities. Location: Bardhaman plant. Male candidates preferred. Only relocated candidates preferred,Bardhaman candidates can't apply.

locationsChennai, Tamil Naduposted onPosted 6 Days Ago job requisition idR0000303851 Career Area: Product Support About The Role : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. The Technical Information Solutions?(TIS) team within Americas Distribution Services Division (ADSD) creates and delivers?technical parts and service information?accessible via SIS and SIS2GO critical for the repair and?service?of?Caterpillar products. Over 300,000 dealer and customer users depend on the information created, managed, and delivered by this team to identify and order Cat parts. Job Summary In TIS, the Parts Information Specialist Creates, validates, and revises technical parts information in support of New Product Introduction (NPI), Continuous Process Improvement, and Revision project timelines, managing projects to ensure parts manuals are completed on-time and accurately. What You Will Do: Review day-to-day work completed by parts information staff for accuracy. Provide appropriate coaching to improve performance. Train and mentor new staff on how to create, validate, and revise technical parts information. Develop and maintain parts information standards. Participate in and lead process improvement efforts. Communicate the importance of customer needs/expectations to parts information creation team consistently. What You Have: Technical Excellence Demonstrated knowledge of Caterpillar product structure, engineering, and parts information databases, including EDS, NPR, PRWB and Windchill (ACM) authoring system. Meets or exceeds performance expectations for parts information production and quality. Develops and provides solutions to significant technical challenges. Helps others solve technical or procedural problems or issues. Service Excellence Provides effective responses to parts information requests and interactions with a sense of urgency and positive action. Acts on parts information improvement opportunities and supports the delivery of high-quality parts information to customers. Effective Communications Delivers helpful feedback that focuses on behaviors without offending the recipient. Listens to feedback without defensiveness and uses it for own performance effectiveness. Independently makes oral presentations and written reports needed for own work. Leads meetings and teams effectively. Data Gathering & Analysis Participates in gathering and analyzing parts information business data. Utilizes data to identify problems and reach a conclusion, goal, or judgment. Identifies and reports problems that arise in the data collection process. Collaboration & Engagement Ability to establish and maintain healthy working relationships with peers and other relevant stakeholders. Problem Solving Identifies and documents specific problems and resolution alternatives. Examines a specific problem and understands the perspective of everyone involved. Works with all stakeholders to address critical issues and resolve major problems. Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of India which can be found through our employment website at . What You Will Get: Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just wage, because we value your performance, we offer a total rewards package that provides day one benefits along with the potential of a variable bonus. Additional benefits include paid annual leave, flexi leave, medical and insurance (prorated based upon hire date). Final Details: Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application please use the candidate log-in on our career website as it will reflect any updates to your status. If you are interested in joining our team, please apply using an English version of your CV. We look forward to meeting you! This About The Role is intended as a general guide to the job duties for this position and is intended for the purpose of establishing the specific salary grade. It is not designed to contain or be interpreted as an exhaustive summary of all responsibilities, duties and effort required of employees assigned to this job. At the discretion of management, this description may be changed at any time to address the evolving needs of the organization. It is expressly not intended to be a comprehensive list of essential job functions as that term is defined by the Americans with Disabilities Act. About Caterpillar Caterpillar Inc. is the worlds leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, weve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Posting Dates: May 8, 2025 - May 15, 2025 Caterpillar is an Equal Opportunity Employer (EEO). Not ready to apply? Join our .

Exp: 22+yrs Location: Pune/Chennai/Mumbai/Bangalore NP: Immediate joiner – 30days Job Description: GenAI & Data Science; Digital Architecture & Enablement; Emerging Tech & Innovation Evangelist Principles and workings of generative models. Knowledge of saving and loading AI models, such as using formats like ONNX or native formats of deep learning frameworks. Cloud platforms like AWS, GCP, or Azure, especially services related to AI and ML. Containerization tools like Docker to package the application and its dependencies. GPUs, TPUs, or other accelerators, and how to leverage them for AI inference. Techniques like model quantization, pruning, and distillation to improve inference speed and reduce memory footprint. Distribute incoming application traffic across multiple instances to ensure optimal resource utilization. Set up monitoring tools to track the health, uptime, and performance of the deployed application. Secure deployment of applications, including encryption, authentication, and authorization mechanisms. Data protection principles, especially when handling user data or other sensitive information. Proficiency with tools like Git. CI/CD pipelines and tools like Jenkins, Travis CI, or GitHub Actions. Networking principles to ensure the application is accessible and communicates effectively with other services or databases. Integrating databases to store or retrieve data, especially if the AI application requires real-time data access. Job Location: BangaloreChennaiMumbaiPune

SUMMARY Job Title - Distillery Operations Supervisor We are seeking a skilled Distillery Operations Supervisor to oversee the daily operations of our distillery, ensuring the production of high-quality spirits while maintaining a safe and efficient work environment. The ideal candidate will have a strong background in distillation processes, team leadership, and compliance with industry regulations. Responsibilities: Supervise and coordinate daily distillery operations, including fermentation, distillation, and blending processes. Monitor and control process parameters to ensure quality and yield standards are consistently met. Provide guidance and leadership to production workers, technicians, and operators across shifts. Ensure strict adherence to SOPs, GMP, HACCP, and safety protocols at all times. Manage inventory of raw materials and coordinate timely requisitions to support production schedules. Record and report production data, batch performance, downtime, and quality metrics. Coordinate routine maintenance checks and equipment servicing with maintenance teams. Ensure compliance with statutory requirements, including Excise regulations and environmental norms. Troubleshoot process deviations and implement corrective and preventive actions (CAPA). Collaborate with quality control and lab teams for process sample analysis and quality assurance. Contribute to the training and upskilling of junior staff and workers. Maintain high standards of hygiene and sanitation across the production floor. Requirements Minimum 10 years of experience in distillery operations. Diploma in a relevant field. Strong leadership and communication skills. In-depth knowledge of distillation processes and industry regulations. Ability to work effectively in a fast-paced production environment. Strong problem-solving and decision-making abilities. Location: Bardhaman plant. Male candidates preferred.

Position Description Business Division: CSM Agchem Department: Production Location: Jambusar Position Title: Production Supervisor Level: Junior Staff Reporting To : Plant Head Position Purpose The Supervisor will be responsible for establishing daily٫ weekly and monthly objectives and communicating them to employees. Manage the workflow by assigning responsibilities and preparing schedules. Guide and coach employees٫ monitoring their productivity. Oversee safe use of equipment and schedule regular maintenance. Strategic Responsibilities Strategic Responsibilities: System management related to plant operations. Maintain operation as per ISO standards. Maintain systems, guidelines, procedures and formats as per need. Ensure record keeping and its utilization for improvements. Operational Responsibilities Operational Responsibilities: Monitor and control chemical processes, equipment, and machinery to ensure efficient and safe operation as per the define procedure. Understanding of DCS operation. Production planning, control and executing batches, optimization in plant. Supervising of batches charging and verification of RM quantity as per SOP Handling of solvent recovery process. Basic knowledge of process safety standards (MSDS) & general industry standards Basic operation of Vacuum distillation & atmosphere distillation. Maintain accurate records of production processes, equipment performance, and quality control data. Identify and resolve production issues, troubleshoot equipment malfunctions, and implement corrective actions Operating of GLR and SS reactor, Centrifugal pump, piston pump, vacuum pump, Jet Ejector system. Participate in continuous improvement initiatives to enhance efficiency and productivity. Safety and Compliance: Ensure strict adherence to safety protocols, environmental regulations, and company policies. Conduct regular safety inspections, identify potential hazards, and implement safety measures to prevent accidents. Provide safety training and education to plant personnel. Quality Control: Monitor and maintain product quality by conducting in-process quality checks and ensuring adherence to quality standards. Investigate and resolve quality issues, and implement corrective actions to prevent future problems. Financial Responsibilities People Responsibilities People Responsibilities: Ensure smooth working of the shift to achieve high productivity and safety level Encourage supervisors/operators to participate in suggestion scheme Education Qualification B.Sc./ M.Sc. Chemistry or Diploma (Chemical) Work Experience 3-9 years of experience in production department Industry to be Hired from Agro-Fine-Chemicals/API Functional Competencies Production Process Knowledge Knowledge of Inventory Management Knowledge and Experience in Quality Management Systems and conducting Quality Audits Knowledge of SAP Interaction Complexity and Team Work Interaction Frequency Purpose of Interaction Plant Head, Deputy Plant Head & Shift In charge Daily Discuss any technical or other issues of the Plant share progress report on batches produced External: NA