413 Distillation Jobs - Page 6

A. Job Title :- Boiler Shift In-charge for Grain Based Ethanol & Cogen Power Plant B. Department :- Utilities / Power Plant / Engineering C. Gender Preference :- Male D. Age Preference :- 28+ Years. E. Pay Structure :- INR 40,000-50,000/- per month F. Location : - BKBPL ,Ethanol Division, Mor, Mokama, Patna, Bihar G. Reporting To :- Power & Maintenance Manager / Plant Head G.Job Summary: The Boiler Shift In-Charge is responsible for overseeing the safe, efficient, and continuous operation of high-pressure boilers, turbines, and auxiliary equipment during the assigned shift. The incumbent will ensure compliance with operational standards, environmental norms, and safety protocols as per statutory guidelines applicable to ethanol and co-generation power plants. Key Responsibilities: Ensure safe, efficient and continuous operation of boilers during the assigned shift. Monitor and control all boiler parameters including pressure, temperature, fuel consumption, and water levels . Monitor and control steam generation parameters to meet process requirements of ethanol and power plants. Execute startup, shutdown, and emergency procedures as per SOPs Lead the boiler operations team during the shift, including operators and helpers. Coordinate with other departments like Distillation, Fermentation & Power House for efficient utility supply. Supervise a team of boiler attendants, water treatment plant operators, and turbine operators during the shift. Conduct regular logbook updates , maintain shift-wise reports and handover/takeover documentation for steam, fuel, and water consumption, shift activities, breakdowns, and maintenance. Handle emergency situations such as low water levels, fuel failure, tripping, or any abnormal conditions. Execute routine checks and preventive maintenance schedules in coordination with the maintenance department. Ensure timely fuel feeding , ash handling, and blowdown activities. Monitor fuel stock , water treatment plant inputs, and chemical dosing parameters. Ensure optimum usage of fuel (biomass/coal/rice husk) and chemicals for water treatment. Adhere to all IBR, safety and environmental regulations , and maintain proper records for inspections. Ensure compliance with statutory requirements under IBR, Factory Act, and Pollution Control Board norm Assist in internal and statutory inspections / audit of boilers and auxiliaries. Raise job tickets, report equipment abnormalities, and coordinate with maintenance team for timely resolutions. Ensure that safety norms, PPE usage, and housekeeping practices are followed on the shop floor. Ensure cleanliness and housekeeping standards in the boiler and turbine sections Skills and Competencies: Sound knowledge of IBR/Non-IBR Boiler systems , thermic fluid heaters, and auxiliaries. Leadership and ability to manage shift teams independently. Strong problem-solving and emergency-handling skills. Good understanding of DCS/PLC systems (if applicable). Basic understanding of electrical and mechanical interlocks in boiler systems. Familiar with energy conservation practices in boiler operations. Strong documentation, communication, and reporting skills. Preferred Qualifications: Degree / Diploma in Mechanical / Power Plant Engineering. Valid First-Class or Second-Class Boiler Attendant Certificate . Prior experience in captive power plants, sugar/distillery/chemical industries will be preferred. Experience Required: 5–10 years in boiler operations (preferably with IBR-certified boilers) Compensation & Benefits: Salary: Competitive and based on industry standards. Benefits: Provident Fund, Paid Leave as per company policy etc. Application Process: Interested candidates can email their resume to [hr@bkbuilders.in] with the subject line “Application for Boiler Shift In-charge – Ethanol Plant ”. Job Types: Full-time, Permanent Pay: ₹480,000.00 - ₹600,000.00 per year Benefits: Paid sick time Paid time off Provident Fund Schedule: Day shift Rotational shift Work Location: In person

Job Title: R&D Lead Location: India Employment Type: Full-time Department: EXL AI Innovation Reports To Salary Range: About Us EXL (NASDAQ: EXLS) is a $7 billion public-listed NASDAQ company and a rapidly expanding global digital data-led AI transformation solutions company with double digit growth. EXL Digital unit spearheads the development and implementation of Generative AI (GenAI) business solutions for our clients in Banking & Finance, Insurance, and Healthcare. EXL has partnered with NVIDIA AI Foundry As a global leader in analytics, digital transformation, and AI innovation, EXL is committed to helping clients unlock the potential of generative AI to drive growth, efficiency, and innovation. Job Description If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, we have an excellent opportunity for you. We are seeking candidates with deep expertise in developing and fine-tuning LLMs, RAG, agentic solutions, and knowledge graph technologies to drive innovative solutions in GenAI. You will be at the forefront of pioneering advancements in AI, working alongside some of the brightest minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. Job Responsibilities Develope initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real-world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine-tune domain-specific LLMs to optimize performance, using techniques like prompt engineering, adapter-based tuning, or low-rank adaptation. Drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting-edge research to solve real-world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders. Qualifications Experience: 2-5 years in AI/ML research and development, with at least 1-2 years focusing on GenAI, LLMs, or related fields. Education: Master’s or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows, including retrieval system design and document store integration. Hands-on experience developing and deploying autonomous agents for complex problem-solving tasks. Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) practices for scalable deployment. Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models, including VAEs, GANs, or diffusion models, and their integration with LLMs. Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills Experience with LLM fine-tuning and building Agentic systems for domain LLMs. Experience with reinforcement learning and fine-tuning via RLHF (Reinforcement Learning with Human Feedback). Knowledge of large-scale optimization methods for model training and inference. Familiarity with knowledge distillation and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams. Experience with MoE based architecture and knowledge on federated learning.

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 Overview We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI , including LLM fine-tuning and prompt engineering . This role requires hands-on expertise across NLP , Computer Vision , and AI agent-based systems , with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field. 5+ years of hands-on experience in AI/ML solution development. Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT. Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG). Proficient in key AI libraries and frameworks: LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers NLP: SpaCy, NLTK. Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2 MLOps: MLflow, FastAPI, Docker, Git Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation. Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure. Strong communication skills and ability to convert business problems into technical solutions. Preferred Qualifications Experience building multimodal systems (text + image, etc.) Practical experience with agent frameworks for autonomous or goal-directed AI. Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment. Key Responsibilities Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications. Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality. Build NLP solutions for Q&A, summarization, information extraction, text classification, and more. Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks. Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines. Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features. Optimize models for performance, cost-efficiency, and low latency in production. Continuously evaluate new AI research, tools, and frameworks and apply them where relevant. Mentor junior AI engineers and contribute to internal AI best practices and documentation. Skills:- Artificial Intelligence (AI), Generative AI, Machine Learning (ML), Large Language Models (LLM), Prompt engineering, Retrieval Augmented Generation (RAG), Natural Language Processing (NLP), Computer Vision, AI Agents, Vector database, Python, Docker and API

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

We are looking for experienced data scientists, who have the aspirations and appetite for working in a start-up environment, and with relevant industry experience to make a significant contribution to our platform and solutions. Primary focus would be to apply machine learning techniques for data extraction from documents from variety of formats including scans and handwritten documents. Responsibilities: Develop a learning model for high accuracy extraction and validation of documents, e.g. in mortgage industry Work with state-of-the-art language modelling approaches such as transformer-based architectures while integrating capabilities across NLP, computer vision, and machine learning to build robust multi-modal AI solutions Interact with clients and other team members to understand client-specific requirements of the platform Contribute to platform development team and deliver platform releases in a timely manner • Liaise with multiple stakeholders and coordinate with our onshore and offshore entities • Evaluate and compile the required training datasets from internal and public sources and contribute to the data pre-processing phase. Expected and Desired Skills Either of the following Deep learning frameworks – PyTorch (preferred) or Tensorflow • Good understanding in designing, developing, and optimizing Large Language Models (LLMs), with hands-on experience in leveraging cutting-edge advancements in NLP and generative AI Skilled in customizing LLMs for domain-specific applications through advanced fine-tuning, prompt engineering, and optimization strategies such as LoRA, quantization, and distillation. • Knowledge of model versioning, serving, and monitoring using tools like MLflow, FastAPI, Docker, vLLM. Python used for analytics applications including data pre-processing, EDA, statistical analysis, machine learning model performance evaluation and benchmarking Good scripting and programming skills to integrate with other external applications • Good interpersonal skills and the ability to communicate and explain models • Ability to work in unfamiliar business areas and to use your skills to create solutions • Ability to both work in and lead a team and to deliver and accept peer review • Flexible approach to working environment and hours. Experience Between 4-6 years of relevant experience Hands-on experience with o Python and/or R o Machine Learning o Deep Learning (desirable) End to End development of a Deep Learning based model covering model selection, data preparation, training, hyper-parameter optimization, evaluation, and performance reporting. Proven experience working in both smaller and larger organisations having multicultural exposure Domain and industry experience by serving customers in one or more of these industries - Financial Services, Professional Services, other Consumer Industries Education Background: A Bachelor’s degree in the fields of study such as Computer Science, Mathematics, Statistics, and Data Science with strong programming content from a leading institute An advanced degree such as a Master's or PhD is an advantage Job Type: Full-time Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Schedule: Day shift Fixed shift Work Location: In person

Required Skills We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python , with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments Qualifications · Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: 2.5 to 5 yrs Location: Trivandrum Job Type: Full-time Pay: ₹500,000.00 - ₹1,100,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

Location: Desar, Vadodara  Job Summary: We are looking for an experienced and visionary Plant Head to lead the overall operations of our Grain-Based Ethanol Plant. The candidate will be responsible for strategic planning, plant performance, operational excellence, compliance, budgeting, and people management. This role requires deep expertise in ethanol manufacturing processes, utilities, by-product optimization, and project execution. Key Responsibilities: Strategic Operations Management Provide leadership for end-to-end ethanol plant operations ensuring productivity, safety, and profitability. Drive operational excellence through continuous improvement initiatives. Ensure achievement of production targets and plant efficiency KPIs. Production & Technical Oversight Oversee fermentation, distillation, evaporation, drying and utility operations. Resolve bottlenecks and implement process optimization strategies. Ensure maximum recovery of ethanol and by-products like DDGS, corn oil, and CO₂. Project & Expansion Management Lead revamping, debottlenecking and expansion projects. Plan and monitor CAPEX/OPEX budgets, resource allocations and timelines. Financial & Cost Control Manage operational expenditure and ensure adherence to budgetary controls. Monitor and improve yield, RM consumption, and energy performance metrics. Maintenance, Safety & Compliance Ensure preventive and predictive maintenance practices across departments. Comply with statutory norms (PESO, PCB, CPCB, Factory Act, etc.). Promote a culture of workplace safety and sustainability. People & Team Leadership Lead, develop and retain multi-disciplinary plant teams. Encourage cross-functional coordination and employee engagement. Ensure manpower planning, training, and performance reviews. Stakeholder Management Coordinate with corporate office, supply chain, procurement, QA/QC and external agencies. Support management in strategic decisions with MIS and plant data. Required Skills and Competencies: Strong leadership, decision-making and communication skills. Expertise in ethanol process, utilities and plant engineering. Strong financial acumen and budget handling. Experience with ZLD, automation, and energy-efficient technologies. Exposure to ERP, SCADA/DCS systems, and plant MIS reporting. Knowledge of statutory and environmental compliance. Proven experience in team building and conflict resolution. Preferred Background: Managed large-scale (140 KLD and above) ethanol/distillery units. Experience in handling O&M contracts or BOO/BOOT model plants. Handled commissioning, revamp or capacity enhancement projects. Exposure to ISO, HACCP, ESG and sustainability frameworks.

To monitor & maintain day to day production activities. Utilize manpower properly with training (Toolbox). Monitoring & Recording of Unsafe Acts, conditions & Near misses. Also records of Accidents & Incidents in packing areas. To coordinate with QC department for the results of testing to facilitate the achievement of the production target. In absence of Plant Supervisors, monitor & handle the production activity. Supervise and allocate workforce for distillation operations as per the production schedule. Job Type: Full-time Pay: ₹15,000.00 - ₹30,000.00 per month Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Rotational shift Supplemental Pay: Overtime pay Shift allowance Yearly bonus Education: Diploma (Preferred) Experience: Supervising: 2 years (Preferred) Language: Hindi (Preferred) Location: Mumbai, Maharashtra (Preferred) Shift availability: Day Shift (Preferred) Night Shift (Preferred) Work Location: In person

Why join Stryker? Looking for a place that values your unique talents? Discover Stryker's award-winning culture. We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Job description We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific. Who we want: Experienced and motivated professional who is talented to lead on the technical front, take challenges and work with globally distributed teams to develop state of the art computer vision solutions for medical products. What you will do: Requirement gathering, Designing, Implementation and Documentation Leverage new technologies to excel product offering and performance Work with all the stakeholders to ensure timely deliveries of the tasks Compliance to Quality Management System and Design Controls Preferred Qualifications (Strongly desired): Essential 6 to 8 years of research experience in developing best in class computer vision and/or video analytics solutions Broad understanding of state-of-art deep learning architectures for computer vision tasks (segmentation/object detection/tracking/3D Vision/VSLAM) Proficiency in Python programming. Strong expertise in PyTorch – Core/Tools Experience with model optimization (quantization/distillation/pruning) Experience in debugging Numpy+PyTorch model export to ONNX/TRT format Excellent written and oral English communication skills Experience in working with distributed teams across geographies in agile setup Self-learner and the ability to work hands-on with minimal supervision or assistance Good to Have Track record of innovation in deep-learning (open-source projects and/or publications) Experience in C++ development, Visual Studio and Linux/Windows build systems Experience working in healthcare industry on Medical Imaging Education: Bachelors or Master degree in computer science, computer engineering or a related science or engineering discipline is required. A relevant PhD or equivalent experience would be favored. Experience: 4 -8 years Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Sustainability & Wastewater Engineer LOCATION: Ingredion Ahmedabad Plant REPORTS TO: Production & Maintenance Lead, Ahmedabad Plant DIRECT REPORTS: N/A SCOPE: Responsible for managing wastewater treatment, hazardous waste, and utility systems to ensure regulatory compliance and operational efficiency WORKPLACE TYPE: On-site Company Background: Ingredion is a Fortune 500 provider of ingredient solutions that helps nourish, comfort, sustain, and delight people around the world. Ingredion’s wide range of ingredient solutions is strategically designed to address changing consumer trends and preferences. Our specialty portfolio includes starch-based texturizers, clean and simple ingredients, plant-based proteins, sugar reduction and specialty sweeteners, and food systems. Our innovative ingredient solutions are used by consumers in everyday products, from foods and beverages to paper and pharmaceuticals. And we do it all in a planet-friendly sustainable manner. Sustainability & Wastewater Engineer will manage and optimize wastewater treatment operations, hazardous waste handling, and utility systems in compliance with environmental regulations, ensuring sustainable practices and uninterrupted support for pharmaceutical manufacturing processes. Core Responsibilities: Effluent Treatment Plant (ETP) Management Supervise the operation and maintenance of the ETP to ensure compliance with environmental regulations. Monitor wastewater treatment processes and continuously optimize performance. Ensure efficient functioning of filtration, aeration, and chemical treatment systems. Conduct regular testing and analysis of treated effluent to meet quality standards. Possess working knowledge of MEE (Multiple Effect Evaporator), ATFD (Agitated Thin Film Dryer), and RO (Reverse Osmosis) systems. Maintain and update ETP, MEE, and ATFD log sheets accurately. Keep records of area cleaning activities. Acquire knowledge of internal and external drainage systems as required. Solid & Hazardous Waste Management Implement and oversee hazardous waste disposal procedures in accordance with GPCB (Gujarat Pollution Control Board) guidelines. Ensure proper segregation, storage, and category-wise transportation of hazardous waste. Maintain detailed records of waste generation, treatment, and disposal. Coordinate with authorized waste disposal vendors and regulatory bodies. Utility Handling Manage utilities including distillation plants, chillers, and cooling tower systems. Ensure uninterrupted utility supply to support pharmaceutical manufacturing operations. Perform preventive maintenance and troubleshoot utility equipment. Promote energy efficiency and support sustainability initiatives. Qualified candidates will have: Mandatory requirements Qualifications & Skills: Education : Bachelor’s degree/Diploma in Environmental Engineering, Chemical Engineering, or a related field. Experience : 3–7 years of hands-on experience in ETP operations, hazardous waste management, and utility handling within the pharmaceutical industry. Technical Skills : Proficiency in wastewater treatment technologies, hazardous waste disposal practices, and utility system operations. Regulatory Knowledge : Familiarity with environmental compliance standards, especially GPCB regulations. Soft Skills : Strong analytical thinking, problem-solving abilities, and effective communication skills. Regulatory Compliance & Documentation Ensure strict adherence to environmental laws and safety regulations. Maintain comprehensive documentation for ETP operations, hazardous waste management, and utility systems. Prepare reports and documentation for audits and inspections by regulatory authorities. Safety & Training Conduct training programs for staff on waste management and utility operations. Implement safety protocols to mitigate environmental risks. Collaborate with the EHS (Environment, Health & Safety) team to enhance workplace safety standards. Desirable requirements: Pharma and Food manufacturing experience is advantages Required Behaviors and Skills: Collaborates across teams and partners to drive innovative wastewater and utility solutions. Leverages insights from stakeholders to improve compliance and operational efficiency. Applies technical expertise and industry trends to enhance treatment processes. Uses data-driven approaches to solve challenges and support sustainable practices. Builds strong relationships to ensure long-term, compliant operations. Relocation available: No Relocation Available: No

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

Epsilon Carbon Private Limited (ECPL) established in 2010 with the aim to become the partner of choice in the carbon black and specialty carbon market. Headquartered in Mumbai, Maharashtra, Epsilon Carbon is India’s first fully integrated carbon black facility, spanning across 165 acres in Karnataka, with additional strategic facilities operating in Odisha and Chhattisgarh. The Carbon Black facility has an annual capacity of 215,000 TPA, while the Specialty Carbon (Coal Tar Distillation) facility has capacity of 320,000 TPA. Meanwhile, Epsilon Advanced Materials Pvt. Ltd. established in 2018, is dedicated to sustainable and high-performance anode & cathode battery materials, pioneering India's first graphite anode material plant and making strategic global investments, including in North Carolina and Finland. With a recent foray into lithium-ion phosphate (LFP) based Cathode Active Material business, all aimed at supporting the global battery industry and contributing to sustainable development, truly exemplifying its motto to Energize the World. Website www.epsiloncarbon.com www.epsilonam.com We are seeking an experienced and strategic candidate for Equity Raise to join our team in the chemical manufacturing industry. The successful candidate will be responsible for managing and executing equity financing activities, working closely with investors, financial institutions, and internal stakeholders to raise capital. This role demands deep expertise in equity markets, financial analysis, and investment strategies. Key Responsibilities (Job Details) Identify and evaluate potential equity investment opportunities in line with the company’s investment strategy and objectives. Conduct thorough due diligence on prospective investments, including financial analysis, market research, and risk assessment. Ensure all equity fundraising activities comply with relevant securities and exchange regulations. This includes overseeing the preparation of legal documents and filings required for equity issues. Develop and maintain relationships with a network of investors, including institutional investors, private equity firms, investment banks, family offices, financial institutions and high-net-worth individuals. The role includes preparing and presenting financial information, business plans, and growth strategies to investors and stakeholders Lead financial planning activities related to equity raising, including valuations, financial modeling, and scenario analysis to determine the impact on the company’s financial structure and shareholder value. Prepare and present investment proposals and pitch materials to prospective investors, highlighting the value proposition and potential returns of the investment opportunity. Negotiate terms and structures of equity investments, including valuation, ownership stakes, governance rights, and exit strategies. Coordinate and manage the equity raising process, including legal documentation, regulatory compliance, and closing transactions. Monitor and track the performance of existing equity investments, providing regular updates to investors and stakeholders. Stay informed about market trends, industry developments, investor sentiment, competitor strategies and regulatory changes that may impact equity raising activities. Act as a key spokesperson for the company in financial markets, enhancing the company’s profile and brand among investors and within the broader financial community. Monitor the performance of the company's equity in the market and report to senior management and the board of directors. This includes providing insights on how equity market movements and investor perceptions can impact the company. Work closely with other departments such as finance, legal, marketing, and operations to ensure a coherent approach to equity raising that aligns with the company’s overall strategy and operational goals. Lead and develop the equity raising team, ensuring they have the necessary skills and resources to effectively support the company’s objectives. Knowledge / Skill / Abilities Strategic Planning and Execution: Experience in strategic planning, financial modelling, and executing long-term financial strategies is crucial. This includes the ability to develop and implement equity raising strategies that align with the company's overall growth objectives. Regulatory Knowledge and Compliance: A deep understanding of the regulatory environment related to securities and equity raising, including compliance with the Securities and Exchange Commission (SEC) and other regulatory bodies, is necessary. Networking and Relationship Building: Given the importance of investor relations, candidates must have strong networking skills and the ability to build and maintain relationships with investors, analysts, and other stakeholders in the financial community. Communication Skills: Excellent communication and presentation skills are critical, as the role involves explaining complex financial information and strategies to stakeholders, including the board of directors, investors, and company executives. Qualification : Any Graduate with management degree preferred. Experience : 10 - 15 Yrs.

Walk in Interview for the post of Production Supervisor/Executive @ Vadodara Location on 11th July 2025 Details are as follows:- Job Location: Jambusar, Gujarat Qualification: - B. Sc. / M. Sc. (Chemistry) / Diploma (Chemical) or B.E./B. Tech in Chemical Experience for Production: 5 to 9 years Experience for Supervisor & Executive role, Interview Date: 11th July 2025 ; Friday Interview Location: Hotel Regenta Central Harimangla, Near ABC Circle, Bharuch, Gujarat 392015 E-mail- jmb.onboarding@piind.com Requirement for Production Candidates must have hands-on experience with DCS panel operation or filed operation in a DCS-operated plant Handling of multiple unit operations and processes simultaneously Knowledge of safety practices is a must. Experience in handling hazardous chemicals and solvents. Roles and Responsibilities:- 1. operational knowledge of YOKOGAVA DCS2. Production planning, control and executing batches, optimization in the plant.3. Supervising of batches charging and verification of RM quintets4. Monitoring and maintaining of the parameter as per SOP5. Handling Of solvent recovery process.6. Basic knowledge of process safety standards (MSDS) & general industry standards7. Distillation Column (Atmospheric & vacuum),8. Formulation of Final products for dispatch, packaging of the material, final products, at the warehouse.9. Operating of GLR and SS reactor, Centrifugal pump, piston pump, vacuum pump, Jet Ejector system.10. Safety Knowledge, Permit

Taking frequent meeting with supervisors to improve production with quality minimizing breakdowns objective and goals. To maintain harmonious human relations in the department, planning sanctioning of leaves to staff workers. Deciding review process parameters to achieve target quality of the product. Planning conducting supervisors and workers meetings for higher productivity quality. Planning and reviewing effective process techniques. Analysis of feedback from supervisors workers regarding breakdowns. Co-ordinate with supervisors workers to implement the system as per the management requirement To reduce waste generation from the plant and to re-use/ recycle the entire quantity of waste getting generated.

Sustainability & Wastewater Engineer LOCATION: Ingredion Ahmedabad Plant REPORTS TO: Production & Maintenance Lead, Ahmedabad Plant DIRECT REPORTS: N/A SCOPE: Responsible for managing wastewater treatment, hazardous waste, and utility systems to ensure regulatory compliance and operational efficiency WORKPLACE TYPE: On-site Company Background Ingredion is a Fortune 500 provider of ingredient solutions that helps nourish, comfort, sustain, and delight people around the world. Ingredion’s wide range of ingredient solutions is strategically designed to address changing consumer trends and preferences. Our specialty portfolio includes starch-based texturizers, clean and simple ingredients, plant-based proteins, sugar reduction and specialty sweeteners, and food systems. Our innovative ingredient solutions are used by consumers in everyday products, from foods and beverages to paper and pharmaceuticals. And we do it all in a planet-friendly sustainable manner. Sustainability & Wastewater Engineer will manage and optimize wastewater treatment operations, hazardous waste handling, and utility systems in compliance with environmental regulations, ensuring sustainable practices and uninterrupted support for pharmaceutical manufacturing processes. Core Responsibilities Effluent Treatment Plant (ETP) Management Supervise the operation and maintenance of the ETP to ensure compliance with environmental regulations. Monitor wastewater treatment processes and continuously optimize performance. Ensure efficient functioning of filtration, aeration, and chemical treatment systems. Conduct regular testing and analysis of treated effluent to meet quality standards. Possess working knowledge of MEE (Multiple Effect Evaporator), ATFD (Agitated Thin Film Dryer), and RO (Reverse Osmosis) systems. Maintain and update ETP, MEE, and ATFD log sheets accurately. Keep records of area cleaning activities. Acquire knowledge of internal and external drainage systems as required. Solid & Hazardous Waste Management Implement and oversee hazardous waste disposal procedures in accordance with GPCB (Gujarat Pollution Control Board) guidelines. Ensure proper segregation, storage, and category-wise transportation of hazardous waste. Maintain detailed records of waste generation, treatment, and disposal. Coordinate with authorized waste disposal vendors and regulatory bodies. Utility Handling Manage utilities including distillation plants, chillers, and cooling tower systems. Ensure uninterrupted utility supply to support pharmaceutical manufacturing operations. Perform preventive maintenance and troubleshoot utility equipment. Promote energy efficiency and support sustainability initiatives. Qualified Candidates Will Have Mandatory requirements Qualifications & Skills Education: Bachelor’s degree/Diploma in Environmental Engineering, Chemical Engineering, or a related field. Experience: 3–7 years of hands-on experience in ETP operations, hazardous waste management, and utility handling within the pharmaceutical industry. Technical Skills: Proficiency in wastewater treatment technologies, hazardous waste disposal practices, and utility system operations. Regulatory Knowledge: Familiarity with environmental compliance standards, especially GPCB regulations. Soft Skills: Strong analytical thinking, problem-solving abilities, and effective communication skills. Regulatory Compliance & Documentation Ensure strict adherence to environmental laws and safety regulations. Maintain comprehensive documentation for ETP operations, hazardous waste management, and utility systems. Prepare reports and documentation for audits and inspections by regulatory authorities. Safety & Training Conduct training programs for staff on waste management and utility operations. Implement safety protocols to mitigate environmental risks. Collaborate with the EHS (Environment, Health & Safety) team to enhance workplace safety standards. Desirable Requirements Pharma and Food manufacturing experience is advantages Required Behaviors And Skills Collaborates across teams and partners to drive innovative wastewater and utility solutions. Leverages insights from stakeholders to improve compliance and operational efficiency. Applies technical expertise and industry trends to enhance treatment processes. Uses data-driven approaches to solve challenges and support sustainable practices. Builds strong relationships to ensure long-term, compliant operations. Relocation available: No Relocation Available: No

Sustainability & Wastewater Engineer LOCATION: Ingredion Ahmedabad Plant REPORTS TO: Production & Maintenance Lead, Ahmedabad Plant DIRECT REPORTS: N/A SCOPE: Responsible for managing wastewater treatment, hazardous waste, and utility systems to ensure regulatory compliance and operational efficiency WORKPLACE TYPE: On-site Company Background: Ingredion is a Fortune 500 provider of ingredient solutions that helps nourish, comfort, sustain, and delight people around the world. Ingredion’s wide range of ingredient solutions is strategically designed to address changing consumer trends and preferences. Our specialty portfolio includes starch-based texturizers, clean and simple ingredients, plant-based proteins, sugar reduction and specialty sweeteners, and food systems. Our innovative ingredient solutions are used by consumers in everyday products, from foods and beverages to paper and pharmaceuticals. And we do it all in a planet-friendly sustainable manner. Sustainability & Wastewater Engineer will manage and optimize wastewater treatment operations, hazardous waste handling, and utility systems in compliance with environmental regulations, ensuring sustainable practices and uninterrupted support for pharmaceutical manufacturing processes. Core Responsibilities: Effluent Treatment Plant (ETP) Management Supervise the operation and maintenance of the ETP to ensure compliance with environmental regulations. Monitor wastewater treatment processes and continuously optimize performance. Ensure efficient functioning of filtration, aeration, and chemical treatment systems. Conduct regular testing and analysis of treated effluent to meet quality standards. Possess working knowledge of MEE (Multiple Effect Evaporator), ATFD (Agitated Thin Film Dryer), and RO (Reverse Osmosis) systems. Maintain and update ETP, MEE, and ATFD log sheets accurately. Keep records of area cleaning activities. Acquire knowledge of internal and external drainage systems as required. Solid & Hazardous Waste Management Implement and oversee hazardous waste disposal procedures in accordance with GPCB (Gujarat Pollution Control Board) guidelines. Ensure proper segregation, storage, and category-wise transportation of hazardous waste. Maintain detailed records of waste generation, treatment, and disposal. Coordinate with authorized waste disposal vendors and regulatory bodies. Utility Handling Manage utilities including distillation plants, chillers, and cooling tower systems. Ensure uninterrupted utility supply to support pharmaceutical manufacturing operations. Perform preventive maintenance and troubleshoot utility equipment. Promote energy efficiency and support sustainability initiatives. Qualified candidates will have: Mandatory requirements Qualifications & Skills: Education : Bachelor’s degree/Diploma in Environmental Engineering, Chemical Engineering, or a related field. Experience : 3–7 years of hands-on experience in ETP operations, hazardous waste management, and utility handling within the pharmaceutical industry. Technical Skills : Proficiency in wastewater treatment technologies, hazardous waste disposal practices, and utility system operations. Regulatory Knowledge : Familiarity with environmental compliance standards, especially GPCB regulations. Soft Skills : Strong analytical thinking, problem-solving abilities, and effective communication skills. Regulatory Compliance & Documentation Ensure strict adherence to environmental laws and safety regulations. Maintain comprehensive documentation for ETP operations, hazardous waste management, and utility systems. Prepare reports and documentation for audits and inspections by regulatory authorities. Safety & Training Conduct training programs for staff on waste management and utility operations. Implement safety protocols to mitigate environmental risks. Collaborate with the EHS (Environment, Health & Safety) team to enhance workplace safety standards. Desirable requirements: Pharma and Food manufacturing experience is advantages Required Behaviors and Skills: Collaborates across teams and partners to drive innovative wastewater and utility solutions. Leverages insights from stakeholders to improve compliance and operational efficiency. Applies technical expertise and industry trends to enhance treatment processes. Uses data-driven approaches to solve challenges and support sustainable practices. Builds strong relationships to ensure long-term, compliant operations. Relocation available: No Relocation Available: No

Sustainability & Wastewater Engineer LOCATION: Ingredion Ahmedabad Plant REPORTS TO: Production & Maintenance Lead, Ahmedabad Plant DIRECT REPORTS: N/A SCOPE: Responsible for managing wastewater treatment, hazardous waste, and utility systems to ensure regulatory compliance and operational efficiency WORKPLACE TYPE: On-site Company Background: Ingredion is a Fortune 500 provider of ingredient solutions that helps nourish, comfort, sustain, and delight people around the world. Ingredion’s wide range of ingredient solutions is strategically designed to address changing consumer trends and preferences. Our specialty portfolio includes starch-based texturizers, clean and simple ingredients, plant-based proteins, sugar reduction and specialty sweeteners, and food systems. Our innovative ingredient solutions are used by consumers in everyday products, from foods and beverages to paper and pharmaceuticals. And we do it all in a planet-friendly sustainable manner. Sustainability & Wastewater Engineer will manage and optimize wastewater treatment operations, hazardous waste handling, and utility systems in compliance with environmental regulations, ensuring sustainable practices and uninterrupted support for pharmaceutical manufacturing processes. Core Responsibilities: Effluent Treatment Plant (ETP) Management Supervise the operation and maintenance of the ETP to ensure compliance with environmental regulations. Monitor wastewater treatment processes and continuously optimize performance. Ensure efficient functioning of filtration, aeration, and chemical treatment systems. Conduct regular testing and analysis of treated effluent to meet quality standards. Possess working knowledge of MEE (Multiple Effect Evaporator), ATFD (Agitated Thin Film Dryer), and RO (Reverse Osmosis) systems. Maintain and update ETP, MEE, and ATFD log sheets accurately. Keep records of area cleaning activities. Acquire knowledge of internal and external drainage systems as required. Solid & Hazardous Waste Management Implement and oversee hazardous waste disposal procedures in accordance with GPCB (Gujarat Pollution Control Board) guidelines. Ensure proper segregation, storage, and category-wise transportation of hazardous waste. Maintain detailed records of waste generation, treatment, and disposal. Coordinate with authorized waste disposal vendors and regulatory bodies. Utility Handling Manage utilities including distillation plants, chillers, and cooling tower systems. Ensure uninterrupted utility supply to support pharmaceutical manufacturing operations. Perform preventive maintenance and troubleshoot utility equipment. Promote energy efficiency and support sustainability initiatives. Qualified candidates will have: Mandatory requirements Qualifications & Skills: Education : Bachelor’s degree/Diploma in Environmental Engineering, Chemical Engineering, or a related field. Experience : 3–7 years of hands-on experience in ETP operations, hazardous waste management, and utility handling within the pharmaceutical industry. Technical Skills : Proficiency in wastewater treatment technologies, hazardous waste disposal practices, and utility system operations. Regulatory Knowledge : Familiarity with environmental compliance standards, especially GPCB regulations. Soft Skills : Strong analytical thinking, problem-solving abilities, and effective communication skills. Regulatory Compliance & Documentation Ensure strict adherence to environmental laws and safety regulations. Maintain comprehensive documentation for ETP operations, hazardous waste management, and utility systems. Prepare reports and documentation for audits and inspections by regulatory authorities. Safety & Training Conduct training programs for staff on waste management and utility operations. Implement safety protocols to mitigate environmental risks. Collaborate with the EHS (Environment, Health & Safety) team to enhance workplace safety standards. Desirable requirements: Pharma and Food manufacturing experience is advantages Required Behaviors and Skills: Collaborates across teams and partners to drive innovative wastewater and utility solutions. Leverages insights from stakeholders to improve compliance and operational efficiency. Applies technical expertise and industry trends to enhance treatment processes. Uses data-driven approaches to solve challenges and support sustainable practices. Builds strong relationships to ensure long-term, compliant operations. Relocation available: No Relocation Available: No

- 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Amazon Health Services (One Medical) About Us: At Health AI, we're revolutionizing healthcare delivery through innovative AI-enabled solutions. As part of Amazon Health Services and One Medical, we're on a mission to make quality healthcare more accessible while improving patient outcomes. Our work directly impacts millions of lives by empowering patients and enabling healthcare providers to deliver more meaningful care. Role Overview: We're seeking an Applied Scientist to join our dynamic team in building state of the art AI/ML solutions for healthcare. This role offers a unique opportunity to work at the intersection of artificial intelligence and healthcare, developing solutions that will shape the future of medical services delivery. Key job responsibilities • Lead end-to-end development of AI/ML solutions for Amazon Health organization, including Amazon Pharmacy and One Medical • Research, design, and implement state-of-the-art machine learning models, with a focus on Large Language Models (LLMs) and Visual Language Models (VLMs) • Optimize and fine-tune models for production deployment, including model distillation for improved latency • Drive scientific innovation while maintaining a strong focus on practical business outcomes • Collaborate with cross-functional teams to translate complex technical solutions into tangible customer benefits • Contribute to the broader Amazon Health scientific community and help shape our technical roadmap Experience in healthcare or medical informatics Publication record in top-tier ML conferences/journals Expertise in model optimization and distributed computing Experience with AWS services and cloud computing Knowledge of healthcare data privacy and security requirements Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Hands on Various reactions SSR,GLR Reactors.Vacuum Distillation ATFE, WFE, Steam Ejector.Handling Chlorine & H2S Scrubber and Hazardous Chemicals like NAOH, HCL, NaHS. Attend shift opening meetings, take shift charge from previous shift production Required Candidate profile RM Shifting from Ground floor to reactor floor for charging.RM Charging in reactor as per instruction from Shift Executive & Shift Chemist. Empty RM Barrel shifting to designated area. House Keeping,

Description JOB RESPONSIBILITY : Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments. Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development. Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs. Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling. Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function. Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and : Minimum education: Bachelors degree in any Engineering Stream Specialized training, certifications, and/or other special requirements: Nice to have Preferred education: Computer : Minimum relevant experience - 4+ years in AI AND COMPETENCIES Skills : Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques Experience with big data processing using Spark for large-scale data analytics Version control and experiment tracking using Git and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based Expertise : Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and Competencies : Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members (ref:hirist.tech)

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. With offices in the UK, US and Spain, we are now thrilled to announce the opening of our new office in Hyderabad, India. This marks an exciting milestone in our global expansion, and we are now looking for talented professionals to join us as part of our founding team. Matillion is a fast paced hyper-scale software development company. You will be based in India but working with colleagues globally specifically across the US, the UK and in Hyderabad. The Enterprise data team is responsible for producing Matillion's reporting metrics and KPIs. We work closely with Finance colleagues, the product team and Go To Market to interpret the data that we have and provide actionable insight across the business. The purpose of this role is to: Increase the value of strategic information from the data warehouse, Salesforce, Thoughtspot, and DPC HubDevelop models to help us understand customer behaviour specifically onboarding, product usage and churnUse our rich data assets to streamline operational processes What will you be doing? Run structured experiments to evaluate and improve LLM performance across generative and task-oriented functions. Improving our AI evaluation frameworks Investigating ways generative AI can be used to improve data quality Some more traditional data science predictive models to forecast customer consumption, churn and/or anomaly detection for failing data pipelines Keeping current on the latest research and proposing proof of concept projects to explore how it can assist us Educating other team members to raise the team’s understating of theoretical concepts and the latest developments What are we looking for? Technical/Role Specific - Core Skills MSc, PhD, or equivalent experience in ML, NLP, or a related field. Strong understanding of LLM internals: transformer architecture, tokenization, embeddings, sampling strategies. Python fluency, especially for data science and experimentation (NumPy, Pandas, Matplotlib, Jupyter). Experience with LLM tools (e.g. Hugging Face, LangChain, OpenAI API). Familiarity with prompt engineering and structured evaluation of generative outputs. Technical/Role Specific - Preferrable Skills Any experience of reinforcement learning techniques, even if on a small scale Experience of model evaluation fine tuning, model distillation, instruction tuning or transfer learning agentic systems (tool use / agentic frameworks) implementing guardrails RAG architecture design and vector search Understanding of Model failure modes, fallback strategies, and error recovery LLM performance optimization tradeoffs (latency, cost, accuracy) Uncertainty estimation and confidence scoring in generative systems Privacy and compliance considerations in AI for SaaS Personal Capabilities Enthusiasm to learn Able to coach and mentor those around you to increase their knowledge Comfort working across teams Ability to translate requirements between data scientists (research focus) and software engineers (product focus) Clear communication of challenges, timelines, and possible solutions to stakeholders Adaptability to rapid changes in a dynamic tech startup environment Enthusiasm for learning new AI/ML Ops tools, libraries, and techniques Proactive at diagnosing problems to understand a true root cause Willingness to experiment and to look for ways to optimise existing systems Willingness to pivot quickly in a rapidly evolving generative AI landscape Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits: Company Equity 27 days paid time off 12 days of Company Holiday 5 days paid volunteering leave Group Mediclaim (GMC) Enhanced parental leave policies MacBook Pro Access to various tools to aid your career development More about Matillion Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

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

As an AI Research Apprentice you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision-language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold. Key Responsibilities Design and train diffusion-based generative models for realistic, high-resolution synthetic data Build compact Vision-Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks Develop Vision-Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks Qualifications & Skills Strong foundation in deep learning, probabilistic modeling and computer vision (coursework or research projects) Hands-on experience with diffusion models (e.g., DDPM, Latent Diffusion) in PyTorch or JAX Familiarity with multimodal transformers / VLMs (CLIP, BLIP, Flamingo, LLaVA, etc.) and contrastive pre-training objectives Working knowledge of data-centric AI: active learning, self-training, pseudo-labeling and large-scale annotation pipelines Solid coding skills in Python, PyTorch / Lightning, plus git-driven workflows; bonus for C++ and CUDA kernels Bonus: experience with on-device inference (TensorRT, ONNX Runtime) & synthetic data tools (Isaac Sim) Why Join Us Research bleeding-edge generative & multimodal tech and watch it land on real construction robots Publish, patent and open-source: we encourage conference submissions and community engagement Help build a company from the ground up—your experiments can become flagship product features Requirements PyTorch or JAX C++ CUDA kernels ONNX Runtime TensorRT Isaac Sim Latent Diffusion

Drive the next wave of generative and multimodal intelligence that powers our autonomous drywall-finishing robots. As a core member of the AI Research team, you'll turn cutting-edge vision-language and diffusion advances into robust, real-time systems that see, reason, and act on dynamic construction sites. Key Responsibilities Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation Architect and train Vision-Language Models (VLMs) and Vision-Language Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2 Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation, and production hand-off to perception & controls teams Publish internal tech reports and external conference papers; mentor interns and junior engineers Qualifications & Skills 3+ years in deep-learning R\&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo) Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision Advanced proficiency in Python, PyTorch (or JAX), experiment tracking, and scalable training (PyTorch Lightning, DeepSpeed, Ray) Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code Bonus: experience with synthetic data generation in Isaac Sim, or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D) Why join us? Own breakthrough tech from idea to autonomous robot on active job-sites—your work leaves the lab fast Collaborate cross-functionally with perception, controls, and product teams & publish at top venues with company support Shape an industry by replacing dangerous, repetitive construction labor with intelligent robots Competitive salary + equity, hardware budget, flexible hybrid work, and a culture that prizes deep work and rapid iteration Requirements Vision-Language Models Vision-Language Alignment R\&D Ph.D./M.S. in CS, EE, Robotics TensorRT, ONNX Runtime CUDA / C++