405 Distillation Jobs

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications. Optimize model inference for performance and cost-efficiency. Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers. Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG. Build robust backend infrastructure to support AI-driven applications. Implement and manage MLOps pipelines for full AI lifecycle management. Design systems for continuous monitoring and evaluation of ML and LLM models. Create automated testing frameworks to ensure model quality and performance. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field. 4+ years of experience in AI/ML engineering, software development, or data-driven solutions. LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers). Understanding of inference optimization techniques: quantization, pruning, caching, and serving. Skilled in prompt engineering and design, including RAG techniques. Familiarity with AI evaluation frameworks and metrics. Experience designing automated evaluation and continuous monitoring systems. Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask. Experience building RESTful APIs and real-time systems. Knowledge of vector databases and traditional databases. Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services. MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT). Experience with Docker and Kubernetes for deploying ML workloads. Ability to build monitoring systems for performance tracking and alerting. Experience building evaluation systems using custom metrics and benchmarks. Proficient in CI/CD and automated deployment pipelines. Experience with orchestration tools like Airflow. Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex). Familiarity with LLM-specific monitoring tools and general ML monitoring systems. Experience with distributed training and inference on multi-GPU environments. Knowledge of model compression techniques like distillation and quantization. Experience deploying models for high-throughput, low-latency production use. Research background or strong awareness of the latest developments in LLMs. Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Job Title - Associate Scientist/ Scientist City, Country - Dahej, India Hybrid/Remote/On Site/ - On Site At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Your key responsibilities Collaborate with R&D chemists and the local pilot plant team in process optimization & intensification projects, implementation of innovative catalytic steps as well as process scale up and transfers to production within the site and beyond. Lead and manage process transfers projects to Pilot and production within the site and beyond. Develop strong relationships with internal and external partners from chemical operations, HSE partners and the innovation community especially organic and analytical chemists to maximize value generation Assess existing production processes, propose and implement optimizations to improve yield and productivity. Data analysis with powerful software tools Prepare conceptual designs for new investment projects and provide support during the detail engineering as well as commissioning. Preparation of mass balance, energy balance and electronic batchsheets for production in plant. Collaborate closely with the local process safety team to ensure safe process transfer and operation of chemical processes. Participating in process safety reviews and HAZOP. Provide troubleshooting support and technical advice to the production team as required. Develop deep understanding of automation and process control systems used in production focusing on support during the assessment, development and implementation of innovative tools for process monitoring and control. Maintain a high level of awareness of the advancement of the technology related to the field of activity based on literature and patent. Propose new processes and conduct technology feasibility studies. We bring. Empowerment to make meaningful contributions while upholding ethical standards. Recognition and celebration of your efforts and accomplishments. Opportunities for growth and advancement for those who embrace innovation and take initiative. Opportunity to build a career making a significant impact on billions of lives, with the freedom to shape your own path. Responsibility and accountability in living company values and driving sustainable solutions. Supportive environment where individuals are empowered to progress and contribute to meaningful change. You bring. B.E. / B. Tech / M.Tech in Chemical Engineering. 8 - 12 years of industrial experience in the Speciality/Fine Chemical industries. Hands on experience and thorough understanding of chemical process unit operations especially distillation/fractionation. Good understanding of process chemistry. Ability to work in a multidisciplinary, cross divisional environment Excellent time management skills and ability to work independently Equal opportunities commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate there’s a place for everyone at dsm-firmenich. As a committed equal opportunity employer, we ensure our recruitment practices are inclusive and fair. We encourage the recruitment of a diverse workforce, representative of the communities in which we work, by using inclusive language, diverse interview panels, diversified sourcing strategies. Selection is based on qualifications, competency, experience, performance history and fit with the team to advance fair and equitable opportunity. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, ethnicity, national origin, religion, gender, gender identity or expression, sexual orientation, age, disability, backgrounds, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world’s growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet. dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people.

Post: Production chemist Education: Belcher of science in chemistry, Master of Science in chemistry. Experience: minimum 1 year in API pharmaceutical industries. Required skills: to be responsible for batch start up activity, monitoring, calibration of balance and other instruction given by the superior, to review technical documents like batch records, cleaning records, validation protocol cleaning verification protocols, SOPs, GMP, reactor, BMR Review etc. Handling of equipment’s like Centrifuge, stainless steel reactor, glass lined reactor, sparkler filter, glass assembly etc. Person have been experience of batch charging, distillation, filtration etc. Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Food provided Schedule: Day shift Education: Bachelor's (Preferred) Experience: API pharmaceutical industries: 1 year (Preferred) batch start up activity: 1 year (Preferred) calibration of balance: 1 year (Preferred) cleaning verification protocols: 1 year (Preferred) SOPs: 1 year (Preferred) GMP: 1 year (Preferred) BMR Review: 1 year (Preferred) Work Location: In person

Job Description: This role will be responsible for managing solvent recovery operations in line with cGMP, EHS, and quality standards. The role involves overseeing the recovery, purification, reuse, and proper disposal of solvents used in API manufacturing, ensuring cost efficiency, regulatory compliance, and safe handling practices. Essential Functions: Supervise the operation of solvent recovery units including distillation columns, condensers, and vacuum systems. Monitor solvent input, recovery yield, quality specifications , and ensure reuse as per production requirements. Coordinate with QA/QC to ensure the analytical clearance of recovered solvents. Maintain records of solvent usage, recovered quantities, purity levels, and waste generation . Ensure compliance with cGMP, GDP, and EHS protocols in all solvent recovery processes. Manage storage, segregation, and labelling of solvents (fresh, recovered, and waste). Identify and troubleshoot process deviations or equipment malfunctions in the recovery system. Collaborate with the production team for timely availability of recovered solvents. Lead initiatives to improve recovery efficiency and reduce solvent losses. Maintain and update SOPs, logbooks, and cleaning records related to solvent recovery. Ensure training and safety awareness for operators handling solvents and equipment. Support internal and external audits and inspections by providing necessary data and documentation. Additional Responsibilities: Ensure compliance with local and national environmental regulations for solvent recovery and waste disposal. Assist in solvent recovery plant commissioning, scale-up activities , or new equipment validation when required. Maintain inventory of recovered and fresh solvents , and ensure accurate reconciliation with production consumption. Participate in internal, regulatory, and customer audits , and provide documentation and clarifications related to solvent recovery processes. Skills & Competencies: Expertise in solvent distillation, fractional recovery, and chemical compatibility. Hands-on experience in solvent recovery equipment operation and maintenance. Strong understanding of cGMP, EHS norms, and hazardous material handling. Good documentation and communication skills. Implementing corrective actions. Working knowledge of ERP systems (e.g., SAP) is preferred. B.Sc. / M.Sc. – Chemistry Diploma / B.Tech – Chemical Engineering

Handling of different unit operations like Batch charging, Solvent receiving & Charging, Layer separation, Work up, Distillation & Sparkler filtration, Transfer the reaction mass, Crystallization, Centrifugation, drying, milling, sieving and packing etc. Follow the Instructions as per BMR. Timely completion of Batch as per the Schedule given by department Head / Designee. Raw material cross verification before charging the Batch. To Co-ordinate with QC during batch execution and equipment cleaning to get the analytical report / results. Ensure the cleaning, sanitization as per procedure and recording in document. Follow up of Safety and cGMP during the production. Follow the SOPs during manufacturing process. Good documentation practice & Online entry in BMR and ECR. Updation of usage log, Weighing balance log. Personal hygiene. Prior intimation to Engineering department and QC department for good support. Before handling any raw materials or solvents SDS of respective raw materials should know. Co-ordinate with other production employees for smooth operations. Ensure Data Integrity & Training. Any other work allotted by Head Production / Designee. Desired Candidate Profile 2 -7 years of experience in the chemical manufacturing industry with expertise in Production Planning, Shift Planning, Manpower Handling, Daily Production Planning, Handling, Monitoring & Cross Functional Coordination, Bachelor's degree in Chemistry (B.Sc) or Chemical Engineering (B.Tech/B.E.). Strong understanding of chemical processing techniques and quality control measures Job Types: Full-time, Permanent Pay: ₹350,000.00 - ₹700,000.00 per year Benefits: Food provided Health insurance Leave encashment Provident Fund Application Question(s): What is your Current CTC? Education: Bachelor's (Required) Location: Harohalli, Karnataka (Required) Work Location: In person Application Deadline: 10/08/2025 Expected Start Date: 18/08/2025

You are a highly skilled and experienced Technical Manager with a minimum of 5 years of experience in Biofuel/Biochar machinery operations within the Renewable Energy/Bioenergy/Cleantech industry. Your primary responsibility will be to oversee the end-to-end operations, technology management, and optimization of Biochar and Biofuel Production processes. In this leadership role, you will lead the project execution for biochar and advanced biofuel production, including planning, commissioning, start-up, and operational ramp-up of integrated systems. Your duties will involve overseeing production operations across various technologies such as pyrolysis, fermentation, distillation, transesterification, and hydrogen generation to ensure maximum performance and efficiency. To drive process efficiency and cost optimization, you will be required to identify improvement opportunities in energy use, yield enhancement, and material handling. Additionally, you will manage technical teams by providing training, operational guidance, and troubleshooting support to foster a culture of continuous learning and accountability. Regulatory compliance, safety implementation, and maintaining a strong EHS culture will be crucial aspects of your role. You will collaborate with cross-functional teams to integrate new technologies, streamline production lines, and stay updated on industry innovations in bioenergy technology and market trends. Your preferred experience should include scaling bioenergy projects, knowledge of carbon credit mechanisms, sustainability reporting frameworks, and certifications in relevant standards. Financial proficiency, leadership skills, and a deep commitment to sustainability and green technologies are essential characteristics for this role. As a Technical Manager, you will play a vital role in ensuring the efficient and sustainable production of biochar and biofuels, contributing to positive climate outcomes and the advancement of green technologies. Traveling will be required as part of this role.,

Position title Lead Engineer - AI/ML Description Prospus Consulting Pvt. Ltd. is a fully remote IT consulting company specializing in SaaS solutions. We are looking to hire a highly skilled and experienced Lead AI/ML Engineer to focus on AI-enabling a SaaS application. If you have a passion for innovation and a proven track record in AI/ML software development, we invite you to join our team. Responsibilities Lead the development and integration of AI/ML capabilities into a SaaS application. Design, train, fine-tune, and deploy large language models (LLMs) using advanced embedding techniques. Develop and implement Natural Language Processing (NLP) solutions, including tokenization, attention mechanisms, and sentiment analysis. Perform tasks such as text summarization, semantic search, and supervised/unsupervised learning. Optimize AI/ML models using techniques like quantization, pruning, and distillation. Create and manage searchable vector databases derived from extensive knowledge bases. Build and deploy intelligent chatbots to enhance user experience. Collaborate with cross-functional teams to define project requirements and deliver AI-enabled features. Evaluate model performance using industry-standard metrics and implement improvements as needed. Skills 6+ years of experience in AI/ML software development. Hands-on experience with LLM fine-tuning and embedding techniques. Proficiency in NLP frameworks, tokenization, and attention mechanisms. Demonstrated expertise in sentiment analysis, text summarization, and semantic search. Strong knowledge of supervised and unsupervised learning methodologies. Experience in model distillation and optimization (e.g., quantization, pruning). Hands-on experience with Hugging Face transformers. Proficiency in Python for AI/ML applications. Proven track record of building chatbots and conversational AI systems. Experience creating searchable vector databases from large knowledge bases. Expertise in evaluating model performance and using appropriate metrics. Qualifications Familiarity with AI/ML applications in SaaS platforms. Experience working with remote teams and agile methodologies. Strong problem-solving and analytical skills. Contacts To apply for this position, please complete the mandatory application form linked below. Only applications that include submission of this form will be considered. We appreciate your understanding and look forward to reviewing your application! Submit Your Application Here

Position Overview- We are looking for an experienced AI Engineer to design, build, and optimize AI-powered applications, leveraging both traditional machine learning and large language models (LLMs). The ideal candidate will have a strong foundation in LLM fine-tuning, inference optimization, backend development, and MLOps, with the ability to deploy scalable AI systems in production environments. ShyftLabs is a leading data and AI company, helping enterprises unlock value through AI-driven products and solutions. We specialize in data platforms, machine learning models, and AI-powered automation, offering consulting, prototyping, solution delivery, and platform scaling. Our Fortune 500 clients rely on us to transform their data into actionable insights. Key Responsibilities: Design and implement traditional ML and LLM-based systems and applications Optimize model inference for performance and cost-efficiency Fine-tune foundation models using methods like LoRA, QLoRA, and adapter layers Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG Build robust backend infrastructure to support AI-driven applications Implement and manage MLOps pipelines for full AI lifecycle management Design systems for continuous monitoring and evaluation of ML and LLM models Create automated testing frameworks to ensure model quality and performance Basic Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, or a related field 4+ years of experience in AI/ML engineering, software development, or data-driven solutions LLM Expertise Experience with parameter-efficient fine-tuning (LoRA, QLoRA, adapter layers) Understanding of inference optimization techniques: quantization, pruning, caching, and serving Skilled in prompt engineering and design, including RAG techniques Familiarity with AI evaluation frameworks and metrics Experience designing automated evaluation and continuous monitoring systems Backend Engineering Strong proficiency in Python and frameworks like FastAPI or Flask Experience building RESTful APIs and real-time systems Knowledge of vector databases and traditional databases Hands-on experience with cloud platforms (AWS, GCP, Azure) focusing on ML services MLOps & Infrastructure Familiarity with model serving tools (vLLM, SGLang, TensorRT) Experience with Docker and Kubernetes for deploying ML workloads Ability to build monitoring systems for performance tracking and alerting Experience building evaluation systems using custom metrics and benchmarks Proficient in CI/CD and automated deployment pipelines Experience with orchestration tools like Airflow Hands-on experience with LLM frameworks (Transformers, LangChain, LlamaIndex) Familiarity with LLM-specific monitoring tools and general ML monitoring systems Experience with distributed training and inference on multi-GPU environments Knowledge of model compression techniques like distillation and quantization Experience deploying models for high-throughput, low-latency production use Research background or strong awareness of the latest developments in LLMs Tools & Technologies We Use Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Serving: vLLM, TensorRT-LLM, SGlang, OpenAI API Infrastructure: Docker, Kubernetes, AWS, GCP Databases: PostgreSQL, Redis, Vector Databases We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Job Summary Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluatio Responsibilities Strategic & Leadership-Level GenAI Skills AI Solution Architecture Designing scalable GenAI systems (e.g. RAG pipelines multi-agent systems). Choosing between hosted APIs vs open-source models. Architecting hybrid systems (LLMs + traditional software). Model Evaluation & Selection Benchmarking models (e.g. GPT-4 Claude Mistral LLaMA). Understanding trade-offs: latency cost accuracy context length. Using tools like LM Evaluation Harness OpenLLM Leaderboard etc. Enterprise-Grade RAG Systems Designing Retrieval-Augmented Generation pipelines. Using vector databases (Pinecone Weaviate Qdrant) with LangChain or LlamaIndex. Optimizing chunking embedding strategies and retrieval quality. Security Privacy & Governance Implementing data privacy access control and audit logging. Understanding risks: prompt injection data leakage model misuse. Aligning with frameworks like NIST AI RMF EU AI Act or ISO/IEC 42001. Cost Optimization & Monitoring Estimating and managing GenAI inference costs. Using observability tools (e.g. Arize WhyLabs PromptLayer). Token usage tracking and prompt optimization. Advanced Technical Skills Model Fine-Tuning & Distillation Fine-tuning open-source models using PEFT LoRA QLoRA. Knowledge distillation for smaller faster models. Using tools like Hugging Face Axolotl or DeepSpeed. Multi-Agent Systems Designing agent workflows (e.g. AutoGen CrewAI LangGraph). Task decomposition memory and tool orchestration. Toolformer & Function Calling Integrating LLMs with external tools APIs and databases. Designing tool-use schemas and managing tool routing. Team & Product Leadership GenAI Product Thinking Identifying use cases with high ROI. Balancing feasibility desirability and viability. Leading GenAI PoCs and MVPs. Mentoring & Upskilling Teams Training developers on prompt engineering LangChain etc. Establishing GenAI best practices and code reviews. Leading internal hackathons or innovation sprints.

Job Title - Associate Scientist/ Scientist City, Country - Dahej, India Hybrid/Remote/On Site/ - On Site At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Your key responsibilities Collaborate with R&D chemists and the local pilot plant team in process optimization & intensification projects, implementation of innovative catalytic steps as well as process scale up and transfers to production within the site and beyond. Lead and manage process transfers projects to Pilot and production within the site and beyond. Develop strong relationships with internal and external partners from chemical operations, HSE partners and the innovation community especially organic and analytical chemists to maximize value generation Assess existing production processes, propose and implement optimizations to improve yield and productivity. Data analysis with powerful software tools Prepare conceptual designs for new investment projects and provide support during the detail engineering as well as commissioning. Preparation of mass balance, energy balance and electronic batchsheets for production in plant. Collaborate closely with the local process safety team to ensure safe process transfer and operation of chemical processes. Participating in process safety reviews and HAZOP. Provide troubleshooting support and technical advice to the production team as required. Develop deep understanding of automation and process control systems used in production focusing on support during the assessment, development and implementation of innovative tools for process monitoring and control. Maintain a high level of awareness of the advancement of the technology related to the field of activity based on literature and patent. Propose new processes and conduct technology feasibility studies. We bring. Empowerment to make meaningful contributions while upholding ethical standards. Recognition and celebration of your efforts and accomplishments. Opportunities for growth and advancement for those who embrace innovation and take initiative. Opportunity to build a career making a significant impact on billions of lives, with the freedom to shape your own path. Responsibility and accountability in living company values and driving sustainable solutions. Supportive environment where individuals are empowered to progress and contribute to meaningful change. You bring. B.E. / B. Tech / M.Tech in Chemical Engineering. 8 - 12 years of industrial experience in the Speciality/Fine Chemical industries. Hands on experience and thorough understanding of chemical process unit operations especially distillation/fractionation. Good understanding of process chemistry. Ability to work in a multidisciplinary, cross divisional environment Excellent time management skills and ability to work independently Equal opportunities commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate there’s a place for everyone at dsm-firmenich. As a committed equal opportunity employer, we ensure our recruitment practices are inclusive and fair. We encourage the recruitment of a diverse workforce, representative of the communities in which we work, by using inclusive language, diverse interview panels, diversified sourcing strategies. Selection is based on qualifications, competency, experience, performance history and fit with the team to advance fair and equitable opportunity. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, ethnicity, national origin, religion, gender, gender identity or expression, sexual orientation, age, disability, backgrounds, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About Dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world’s growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet. dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people.

As a Senior Machine Learning Engineer at TrueFan, you will be at the forefront of AI-driven content generation, leveraging cutting-edge generative models to build next-generation products. Your mission will be to redefine the content generation space through advanced AI technologies, including deep generative models, text-to-video, image-to-video, and lipsync generation. Your responsibilities will include designing, developing, and deploying cutting-edge models for end-to-end content generation. This will involve working on the latest advancements in deep generative modeling to create highly realistic and controllable AI-generated media. You will research and develop state-of-the-art generative models such as Diffusion Models, 3D VAEs, and GANs for AI-powered media synthesis. Additionally, you will build and optimize AI pipelines for high-fidelity image/video generation and lipsyncing using diffusion and autoencoder models. Furthermore, you will be responsible for developing advanced lipsyncing and multimodal generation models that integrate speech, video, and facial animation for hyper-realistic AI-driven content. Your role will also involve implementing and optimizing models for real-time content generation and interactive AI applications using efficient model architectures and acceleration techniques. Collaboration with software engineers to deploy models efficiently on cloud-based architectures will be a key aspect of your work. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, along with 3+ years of experience working with deep generative models like Diffusion Models, 3D VAEs, GANs, and autoregressive models. Proficiency in Python and deep learning frameworks such as PyTorch is essential. Strong problem-solving abilities, a research-oriented mindset, and familiarity with generative adversarial techniques are also required. Preferred qualifications include experience with transformers and vision-language models, background in text-to-video generation and lipsync generation, expertise in cloud-based AI pipelines, and contributions to open-source projects or published research in AI-generated content. If you are passionate about AI-driven content generation and have a strong background in generative AI, this is the perfect opportunity for you to drive research and development in AI-generated content and real-time media synthesis at TrueFan.,

About Us QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo. Overview QuillBot is looking for a hands-on MLOps Manager to lead and scale our AI Engineering & MLOps function. This role blends deep technical execution (60%) with team and cross-functional collaboration (40%), and is ideal for someone who thrives in a dual IC + strategic lead position. You'll work closely with Research, Platform, Infra, and Product teams — not only to deploy models reliably, but also to accelerate experimentation, training, and iteration cycles. From infra support for large-scale model training to scaling low-latency inference systems in production, you'll be at the heart of how AI ships at QuillBot. Responsibilities Own the full ML lifecycle: from training infra and experiment tracking to deployment, observability, and optimization. Work closely with researchers to remove friction in training, evaluation, and finetuning workflows. Guide and mentor a small, mature team of engineers (3–4), while still contributing as an individual contributor. Drive performance optimization (latency, throughput, cost efficiency), model packaging, and runtime reliability. Build robust systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting. Ensure scalable, secure, and compliant AI infrastructure across training and inference environments. Collaborate with cloud and AI providers (e.g., AWS, GCP, OpenAI) as needed to integrate tooling, optimize costs, and unlock platform capabilities. Contribute to other GenAI and cross-functional AI initiatives as needed, beyond core MLOps responsibilities. Contribute to architectural decisions, roadmap planning, and documentation of our AI engineering stack. Champion automation, DevOps/MLOps best practices, and technical excellence across the ML lifecycle. Qualifications 5+ years of strong experience in MLOps, ML/AI Engineering. Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra. Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes). Comfortable working on both training-side infra and inference-side systems. Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM). Proven ability to lead complex technical projects end-to-end with minimal oversight. Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity. Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces." Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #QuillBot Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

About Us QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo. Overview QuillBot is looking for a hands-on MLOps Manager to lead and scale our AI Engineering & MLOps function. This role blends deep technical execution (60%) with team and cross-functional collaboration (40%), and is ideal for someone who thrives in a dual IC + strategic lead position. You'll work closely with Research, Platform, Infra, and Product teams — not only to deploy models reliably, but also to accelerate experimentation, training, and iteration cycles. From infra support for large-scale model training to scaling low-latency inference systems in production, you'll be at the heart of how AI ships at QuillBot. Responsibilities Own the full ML lifecycle: from training infra and experiment tracking to deployment, observability, and optimization. Work closely with researchers to remove friction in training, evaluation, and finetuning workflows. Guide and mentor a small, mature team of engineers (3–4), while still contributing as an individual contributor. Drive performance optimization (latency, throughput, cost efficiency), model packaging, and runtime reliability. Build robust systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting. Ensure scalable, secure, and compliant AI infrastructure across training and inference environments. Collaborate with cloud and AI providers (e.g., AWS, GCP, OpenAI) as needed to integrate tooling, optimize costs, and unlock platform capabilities. Contribute to other GenAI and cross-functional AI initiatives as needed, beyond core MLOps responsibilities. Contribute to architectural decisions, roadmap planning, and documentation of our AI engineering stack. Champion automation, DevOps/MLOps best practices, and technical excellence across the ML lifecycle. Qualifications 5+ years of strong experience in MLOps, ML/AI Engineering. Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra. Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes). Comfortable working on both training-side infra and inference-side systems. Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM). Proven ability to lead complex technical projects end-to-end with minimal oversight. Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity. Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces." Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #Learneo Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation. About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Speech And Conversational Intelligence: Implement contextual dialogue flows using speech inputs with emotion and intent tracking. Evaluate and deploy advanced Speech-to-Speech (S2S) models for naturalistic voice responses. Work on real-time speaker diarization and multi-turn, multi-party conversation tracking. Voice Biometrics & AI Security: Train and evaluate voice biometric models for secure identity verification. Implement anti-spoofing layers to detect deepfakes, replay attacks, and signal tampering. Ensure compliance with voice data privacy and ethical AI guidelines. Self-Learning & Autonomous Adaptation: Develop frameworks for agents to self-correct and adapt using feedback loops without full retraining. Enable low-footprint learning systems on-device to support personalization on the edge. Ideal Candidate Educational Qualifications: Bachelors/Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience Required: 35 years of experience, with a mix of core software development and AI/ML model engineering. Proven hands-on work with Conversational AI, Generative AI, or Multi-Agent Systems. Technical Proficiency: Strong programming in Python, TensorFlow/PyTorch, and model APIs (Hugging Face, LangChain, OpenAI, etc.). Expertise in STT, TTS, S2S, speaker diarization, and speech emotion recognition. LLM fine-tuning, model optimization (quantization, distillation), RAG pipelines. Understanding of agentic frameworks, cognitive architectures, or belief-desire-intention (BDI) models. Familiarity with Edge AI deployment, low-latency model serving, and privacy-compliant data pipelines. Desirable: Exposure to agent-based simulation, reinforcement learning, or behavioralmodeling. Publications, patents, or open-source contributions in conversational AI or GenAI systems. Perks, Benefits and Work Culture Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of Indias most diversified Non-banking financial companies, and among Asias top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations were present in India. Skills: edge ai deployment,adaptation,speech emotion recognition,llm fine-tuning,tensorflow,models,intelligence,model optimization,speech,speech-to-speech,data,openai,hugging face,llm,optimization,agents,langchain,pytorch,python Show more Show less

Equipment Knowledge of Plant area i.e. Reactor, Centrifuge, Dryer, Sparkler & Sifter etc. Knowledge of documentation as required in GMP like BMR, ECR, Usage Log Book etc Handling of Workmen in Plant area Knowledge for using of Safety Equipments which are using in Plant area Experience of general Computer knowledge.

Entity: Production & Operations Job Family Group: Engineering Group Job Description: Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our world-class team? bp Technical Solutions India (TSI) centre in Pune, aims to build on bp’s existing engineering and technical strengths to deliver high quality services to its hydrocarbons and new energy businesses worldwide. TSI brings together diverse engineering capability to provide technical services across a range of areas including engineering, maintenance, optimization, data processes, projects and subsurface, to deliver safe, affordable and lower emission energy, while continuously innovating how we work. Job Description: At bp, we’re reimagining energy for people and our planet. We’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge. We’re a team with multi-layered strengths of engineers, scientists, traders and business professionals determined to find answers to problems. And we know we can’t do it alone. We’re looking for people who share our passion for reinvention, to bring fresh opinions, ambition, and to challenge our thinking in our goal to achieve net zero! Role Synopsis: The Remote Unit Health Process Engineer role creates and delivers monthly process unit health monitoring reports (including findings and recommended actions) to the technical teams within bp’s refineries. This is a fully deployed role to the Refining Performance Unit Health Monitoring squad and receives day-to-day direction from the Refining Unit Health Monitoring Squad Lead. The role’s discipline reporting line is into the Process & Process Safety Engineering Team within Engineering in bp Solutions. This role is part of a global distributed team and supports bp’s worldwide refining portfolio. This role will need to work closely with unit engineers based in refinery support teams, as well as technology subject matter experts, around the world. The successful candidate will therefore need to be self-motivated to perform within the geographically dispersed team. Key Accountabilities: This role is also seen as a technical lead within the Refining Performance Unit Health Monitoring Squad Aiding in the initial roll-out of UHM reports for various refining technologies, implementing discipline delivered content into Palantir and engaging with our technical refining SMEs Developing enhanced monitoring tools to capture additional value from our assets Completing monthly unit health monitoring reports for multiple refining units Driving Monthly Unit Health monitoring work process, including leading handover meetings/discussions Working with AIMS Support Engineer to update AIMS tool as required based on updates to standard processes, unit findings, etc. Domain Expert for AIMS use and calculations. Providing assistance to the Squad Lead with team management (as necessary), including managing ADO Board, developing backlog items, etc. Mentor role for “Early Careers” engineers within team Partner with sites to drive resolution to UHM findings Suggesting and implementing work practice improvements for entire Squad Essential Education: Bachelor’s degree in science or engineering (or equivalent) Essential Experience and Job Requirements: Strong refining technology background is required. Very good understanding of one or more refining unit operations and process calculations, including heat exchanger principles, distillation principles, fluid flow principles, and reaction principles. 5+ Years of experience, Previous experience providing process engineering monitoring of refinery process units, including on-site experience. The successful applicant must be meticulous and be able to keep multiple tasks moving simultaneously. Must have good technical communication skills. This includes ability to communicate efficiently and effectively with unit engineers and squad members to understand their issues and problems and communicate solutions. Strong customer focus—understanding the needs of our customers and delivering solutions based on those needs. Experience supporting the success of other teams. Ability to coach and mentor other engineers in unit monitoring fundamentals Desirable criteria: Experience working with site (refinery) engineers is strongly preferred. Proficient in the use of Microsoft Excel. Comfortable with complex Excel spreadsheets. Familiarity and proficiency with more advanced Excel functions such as Lookup & Reference functions, Text manipulation functions, Logic functions, and basic Statistical functions a plus Working experience with Unit Health Monitoring tools (OSISoft PI Asset Framework and Vision products, boTec PUHMA, Palantir) is a plus. Familiarity with agile work is a plus. Experience programming in VBA, PowerBI is a plus. Understanding of cloud computing and data systems is beneficial. Engineering Certification: Chartered Engineer (CEng) or a Professional Engineer (PE) or a European Engineer (EUR ING) is a plus Travel Requirement: Some travel may be required with this role, this is negotiable Relocation Assistance: This role is eligible for relocation within the country (India). Entity: Production & Operations Skills: Asset health monitoring, Commercial acumen, Defect Elimination,Design performance standards, Economic evaluation methodology, Fluid characterisation, Hydraulics, Layer of Protection Analysis, Lean Practices, Operational performance standards, Personal Safety, Process and process safety design philosophies, Process control and automation, Process performance monitoring. At bp, we provide the following environment & benefits to you: Life & health insurance, medical care package Flexible working schedule: home office up to 2 days / week, based on team agreement Opportunity to build up long term career path and develop your skills with wide range of learning options Family friendly workplace e.g.: parental leave, Mother-baby room Employees’ wellbeing programs e.g.: Employee Assistance Program, Company Recognition Program Possibility to join our social communities and networks Assets like phone and company laptop are provided from the first day of employment with other equipment if requested Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Application of hierarchy of control, Application of hierarchy of control, Asset health monitoring, Commercial Acumen, Defect Elimination, Design case for safety, Design development and delivery, Design performance standards, Economic evaluation methodology, Emergency process isolation and shutdown systems, Environment and Social Impact Assessment, Facility layout, Fluid characterisation, Hazardous area classification, Hydraulics, Layer of Protection Analysis (LOPA), Lean Practices, Major accident risk, Operational performance standards, Personal Safety, Plant Layout, Process and process safety design philosophies, Process control and automation, Process performance monitoring, Process safety assurance {+ 5 more} Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Role & responsibilities Operations of Distillery, Effluent Treatment Plant (MEE, Incineration, CPU) & Organic Manure Plant Business Plan of Distillery, ETP & OMP Control of production process parameters Project Management Statutory Compliances of Distillery & Effluent Treatment plant operations MIS Raw Material & finished product-monitoring Effluent Management-treatment & disposal system Warehousing Key interdependencies Internal-Engg, Finance, Mktg, Sugar Process External-Prohibition/Excise departments, PCB &Safety Depts Preferred candidate profile Specialisation in Alcohol Chemistry and a minimum 10 years experience in Distillery Plants, Process Industries. Knowledge Technical: Fermentation, Distillation, Effluent Treatment Systems (MEE& CPU), Utility sections, Boiler operations, Distribution and electrical systems Legal- rules and statutes Preferably handled both atmospheric and multi-pressure distillation processes and products to include rectified spirit, ENA and absolute alcohol

Required, Diploma in Chemical Engineering candidate with 2 to 3 years of hands-on experience in a reputable chemical or petrochemical company. Experience with batch or continuous process handling is essential. The ideal candidate will possess a working knowledge of plant equipment and a basic understanding of chemical processes, with a particular emphasis on distillation. Furthermore, the candidate must be fully familiar with various chemical reactions, possess strong supervision and communication skills, and have working knowledge of computers.

Job Title – Sr Specialist Process Engineering City, Country - Dahej, India At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Your key responsibilities Collaborate with R&D chemists and the local pilot plant team in process optimization & intensification projects as well as process scale up and transfers to production within the site and beyond. Prepare mass balance, energy balance, SOP and participating in process safety reviews and HAZOP Provide troubleshooting support and technical advice to the production team as required. Assess existing production processes, propose and implement optimizations actions to improve Yield and batch time cycle. Improving the efficiency and reliability of chemical processes, especially reaction and distillation systems, through advanced data analysis. Analyze operational and historical process data from reaction and distillation units to identify inefficiencies, anomalies, and optimization opportunities. Develop deep understanding of automation and process control systems used in production. Work on Data analytic tools like PI and SEEQ. Maintain a high level of awareness of the advancement of the technology related to the field of activity based on literature and patent. Propose new processes as well as technologies feasibility studies. We bring. Empowerment to make meaningful contributions while upholding ethical standards. Recognition and celebration of your efforts and accomplishments. Opportunities for growth and advancement for those who embrace innovation and take initiative. Opportunity to build a career making a significant impact on billions of lives, with the freedom to shape your own path. Responsibility and accountability in living company values and driving sustainable solutions. Supportive environment where individuals are empowered to progress and contribute to meaningful change. You bring. B.E. / B. Tech / M.Tech in Chemical Engineering. 3 - 7 years of industrial experience in the Speciality/Fine Chemical industries. Hands on experience and thorough understanding of chemical process unit operations especially distillation/fractionation. Good understanding of process chemistry. Ability to work in a multidisciplinary, cross divisional environment Strong data analysis skills Equal opportunities commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate if there’s a place for everyone at dsm-firmenich. As a committed equal opportunity employer, we ensure our recruitment practices are inclusive and fair. We encourage the recruitment of a diverse workforce, representative of the communities in which we work, by using inclusive language, diverse interview panels, and diversified sourcing strategies. Selection is based on qualifications, competency, experience, performance history and fit with the team to advance fair and equitable opportunity. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, ethnicity, national origin, religion, gender, gender identity or expression, sexual orientation, age, disability, backgrounds, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world’s growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet. dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people.

A Solvent Plant Operator is responsible for operating and maintaining equipment used in the solvent extraction process , which is commonly part of oilseed processing (e.g., extracting oil from rice bran, soybeans, canola, or sunflower seeds) or in chemical manufacturing where solvents are used to separate or purify components. Key Responsibilities: Monitor equipment : Oversee pumps, extractors, distillation columns, condensers, and related systems. Control processes : Adjust temperatures, pressures, and flow rates to ensure optimal extraction and safety. Inspect and maintain machinery : Conduct routine maintenance and report equipment malfunctions. Sample and test products : Ensure that the final product meets quality and safety specifications. Record data : Log operational details, production volumes, and any process abnormalities. Follow safety protocols : Handle volatile solvents safely, prevent leaks, and respond to emergencies like fires or spills. Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Morning shift Night shift Rotational shift Supplemental Pay: Overtime pay Performance bonus Yearly bonus Work Location: In person

Job Opening Process Engineer for a leading Chemical Industry for Vapi, Gujarat Location. Qualification: B.Sc. or M.Sc. Transportation - Free Canteen - Subsidized Interview Mode: Face to Face (Compulsory) Requirement: Good knowledge of pipe line calculation, heat of reaction, project work handling, discerning of equipment.

Experience Required Work Experience: 3 to 6 years Location-Jamnagar Preferred Experience Experience working in a large chemical plant with a production volume of 25,000+ tons per annum Hands-on experience in solid crushing processes Preferably worked with a team size of 25+ people Qualification Educational Requirement: B.E. in Chemical Engineering,Metallurgy Industry Background: Solid chemical industry (e.g., Soda Ash , Detergents , Calcite , Dolomite ) Note-Only candidates from Gujarat are eligible to apply. If interested please connect at Wp/Mobile-7400498278 Email-ashish.u@genxhire.in

Job Description Operations of Distillery, Effluent Treatment Plant (MEE, Incineration, CPU) & Organic Manure Plant Business Plan of Distillery, ETP & OMP Control of production process parameters Project Management Statutory Compliances of Distillery & Effluent Treatment plant operations MIS Raw Material & finished product-monitoring Effluent Management-treatment & disposal system Warehousing Key interdependencies Internal-Engg, Finance, Mktg, Sugar Process External-Prohibition/Excise departments, PCB &Safety Depts Profile: Specialization in Alcohol Chemistry and a work experience of a minimum Ten years experience in Distillery Plants, Process Industries Knowledge Technical: Fermentation, Distillation, Effluent Treatment Systems (MEE& CPU), Utility sections, Boiler operations, Distribution and electrical systems Legal- rules and statutes Preferably handled both atmospheric and multi-pressure distillation processes and products to include rectified spirit, ENA and absolute alcohol

Key Responsibilities Mandatory skill: Chemical Engineer with 8 to10 years’ experience with Basic level of understanding on the GMP aspects. Interaction with the CFT team for the lab development and the manufacturing facility. Willing to travel to SBPs at different locations. Process volume calculations, capacity calculations. Interaction with the Process R & D for the process understanding and prepare the process engineering input form. Evaluation of the time lines and preparation of Gantt Charts. Interaction with the production team run the projects in the plant with complete safety and quality compliance. Process screening and hazard evaluation Literature search, thorough understanding of MSDS Identification of reactive chemical group/ hazardous reaction chemistry and calculation towards the estimation of hazard potential Proper understanding the reaction chemistry interacting with Process R&D Process Optimization Providing necessary technical inputs during interaction with scientists for process robustness w.r.t. scalability, operability and cost effectiveness; Involving in process optimization with focus on right quality & yield on scale to ensure smooth execution of scale up batches and to be in-line with the project requirements. Safety During Execution Identification of hazards in the process and provide justification for modification of the process w.r.t. safe execution of batches in plant to achieve safe execution of batches. Coordinating with the IPDO and CRA lab team generate the safety data required for the scale up process. Documentation Preparation of PE package, Process hazard analysis, Risk analysis, BPR preparation on need basis. Technical Requirements Good chemical engineering knowledge on unit operation like Reaction , Distillation, Crystallization and Isolation Process engineering knowledge on Mixing, Distillation, Filtration, Drying Thorough process understanding of API Scale up and Technology transfer. Capacity calculations and equipment evaluations. Gantt chart preparation. Mapping of the execution plant/ facility. Coordination for the equipment modifications taking the dummy trials at the plant. Timeline calculation Preparation of PFD , P&ID Utility calculations. Soft Skill Requirement Communication, Time management, Adaptability, Interaction with Marketing team and other CFTs, Understand the customer specifications. Desired Candidate Profile Good chemical engineering knowledge on unit operation like Reaction , Distillation, Crystallization and Isolation Process engineering knowledge on Mixing, Distillation, Filtration, Drying Thorough process understanding of API Scale up and Technology transfer. Capacity calculations and equipment evaluations. Gantt chart preparation Education And Experience B Tech Chemical Engineer with 12 to 15 Years’ Experience.

Job Title – Sr Specialist Process Engineering City, Country - Dahej, India At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Customers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated. Your key responsibilities Collaborate with R&D chemists and the local pilot plant team in process optimization & intensification projects as well as process scale up and transfers to production within the site and beyond. Prepare mass balance, energy balance, SOP and participating in process safety reviews and HAZOP Provide troubleshooting support and technical advice to the production team as required. Assess existing production processes, propose and implement optimizations actions to improve Yield and batch time cycle. Improving the efficiency and reliability of chemical processes, especially reaction and distillation systems, through advanced data analysis. Analyze operational and historical process data from reaction and distillation units to identify inefficiencies, anomalies, and optimization opportunities. Develop deep understanding of automation and process control systems used in production. Work on Data analytic tools like PI and SEEQ. Maintain a high level of awareness of the advancement of the technology related to the field of activity based on literature and patent. Propose new processes as well as technologies feasibility studies. We bring. Empowerment to make meaningful contributions while upholding ethical standards. Recognition and celebration of your efforts and accomplishments. Opportunities for growth and advancement for those who embrace innovation and take initiative. Opportunity to build a career making a significant impact on billions of lives, with the freedom to shape your own path. Responsibility and accountability in living company values and driving sustainable solutions. Supportive environment where individuals are empowered to progress and contribute to meaningful change. You bring. B.E. / B. Tech / M.Tech in Chemical Engineering. 3 - 7 years of industrial experience in the Speciality/Fine Chemical industries. Hands on experience and thorough understanding of chemical process unit operations especially distillation/fractionation. Good understanding of process chemistry. Ability to work in a multidisciplinary, cross divisional environment Strong data analysis skills Equal opportunities commitment dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate if there’s a place for everyone at dsm-firmenich. As a committed equal opportunity employer, we ensure our recruitment practices are inclusive and fair. We encourage the recruitment of a diverse workforce, representative of the communities in which we work, by using inclusive language, diverse interview panels, and diversified sourcing strategies. Selection is based on qualifications, competency, experience, performance history and fit with the team to advance fair and equitable opportunity. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, ethnicity, national origin, religion, gender, gender identity or expression, sexual orientation, age, disability, backgrounds, genetic information, protected veteran status, or any other status protected by law. We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know. About Dsm-firmenich As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world’s growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet. dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people.