417 Distillation Jobs - Page 9

Exp : 15yrs to 23yrs Primary skills :- Vision AI Solution, Nvidia, Computer Vision, Media, Open Stack. Key Responsibilities Define and lead the end-to-end technical architecture for vision-based AI systems across edge and cloud. Design and optimize large-scale video analytics pipelines using NVIDIA DeepStream, TensorRT, and Triton Inference Server. Architect distributed AI systems, including model training, deployment, inferencing, monitoring, and continuous learning. Collaborate with product, research, and engineering teams to translate business requirements into scalable AI solutions. Lead efforts in model optimization (quantization, pruning, distillation) for real-time performance on devices like Jetson Orin/Xavier. Drive the integration of multi-modal AI (vision + language, 3D, audio) where applicable. Guide platform choices (e.g., edge AI vs cloud AI trade-offs), ensuring cost-performance balance. Mentor senior engineers and promote best practices in MLOps, system reliability, and AI observability. Stay current with emerging technologies (e.g., NeRF, Diffusion Models, Vision Transformers, synthetic data). Contribute to internal innovation strategy, including IP generation, publications, and external presentations. ________________________________________ 🛠️ Required Technical Skills Deep expertise in computer vision, deep learning, and multi-modal AI. Proven hands-on experience with: NVIDIA Jetson, DeepStream SDK, TensorRT, Triton Inference Server TAO Toolkit, Isaac SDK, CUDA, cuDNN Strong in PyTorch, TensorFlow, OpenCV, GStreamer, and GPU-accelerated pipelines. Experience deploying vision AI models at large scale (e.g., 1000+ cameras/devices or multi-GPU clusters). Skilled in cloud-native ML infrastructure: Docker, Kubernetes, CI/CD, MLflow, Seldon, Airflow Proficiency in Python, C++, CUDA (or PyCUDA), and scripting. Familiar with 3D vision, synthetic data pipelines, and generative models (e.g., SAM, NeRF, Diffusion). Experience in multi modal (LVM/VLM), SLMs, small LVM/ VLM, Time series Gen AI models, Agentic AI, LLMOps/Edge LLMOps, Guardrails, Security in Gen AI, YOLO/Vision Transformers ________________________________________ 🤝 Soft Skills & Leadership 10+ years in AI/ML/Computer Vision, with 8+ years in technical leadership or architect roles Strong leadership skills with experience mentoring technical teams and driving innovation. Excellent communicator with the ability to engage stakeholders across engineering, product, and business. Strategic thinker with a practical mindset—able to balance innovation with production-readiness. Experience interfacing with enterprise customers, researchers, and hardware partners. ________________________________________ 🧩 Preferred Qualifications MS or PhD in Computer Vision, Machine Learning, Robotics, or a related technical field ( Added Advantage ) Experience with NVIDIA Omniverse, Clara, or MONAI for healthcare or simulation environments. Experience in domains like smart cities, robotics, retail analytics, or medical imaging. Contributions to open-source projects or technical publications. Certifications: NVIDIA Jetson Developer, AWS/GCP AI/ML Certifications.

We are seeking a highly skilled and experienced Research Chemist with a Master's degree in Organic Chemistry and at least 5 years of hands-on experience in laboratory research and development. The ideal candidate should have strong expertise in organic synthesis, process development , and delivery system optimization such as Liposomes, NLCs (Nanostructured Lipid Carriers), and other encapsulation techniques . This role will focus on supporting innovative R&D initiatives, lab-scale synthesis of active ingredients, and contributing to formulation and delivery system enhancement for cosmetic or specialty chemical applications. Key Responsibilities: Perform multistep organic synthesis and reaction optimization on lab scale Operate and maintain various lab reactors (glass, stainless steel, jacketed) Handle and calibrate lab instruments such as rotary evaporators, vacuum pumps, stirrers, pH meters, ovens, etc. Conduct product purification using distillation, crystallization, extraction, and chromatography Maintain accurate documentation of experiments, batch records, and lab observations Follow SOPs, safety guidelines, GLP/GMP norms Support scale-up processes and pilot plant trials when required Collaborate with cross-functional teams such as QA/QC, production, and regulatory affairs Develop and optimize advanced delivery systems including Liposomes, NLCs, micro/nanoencapsulation technologies for active ingredients Required Skills: In-depth knowledge of organic reaction mechanisms and synthetic strategies Strong experience with hazardous chemicals and lab safety protocols Working familiarity with analytical techniques such as TLC, HPLC, GC, and FTIR Capability to independently manage multiple R&D projects Excellent analytical, problem-solving, and scientific documentation skills Preferred Experience: Prior work in chemical, pharmaceutical, cosmetic, or specialty ingredient R&D labs Exposure to delivery system development for actives (Liposomes, NLCs, etc.) is highly preferred Experience with pilot plant operations and process scale-up

Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections & views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability & effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Competencies Client Centricity Passion for Results Execution Excellence Collaborative Working Learning Agility Problem Solving & Decision Making Effective communicationMandatory Skills: DevOps - Continuous Delivery. Experience8-10 Years.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Machine Learning Engineer Job Location: Hyderabad More Details Below Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) and AI Model Efficiency Toolkit (AIMET) on Qualcomm SoCs. You will have expert knowledge of design, improvement, and maintenance of large AI software stacks using best practices. Work Experience 8-12 years of relevant work experience in software development Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning and Machine learning theory and practice. Experience with Deep learning model development. Data transformations, model training, model design, model optimization. Familiarity with various deep learning architectures and problem domains like Computer Vision, Speech recognition, NLP etc. Strong development skills in Python and C++. Experience with at least one machine learning framework like TensorFlow, ONNX, Pytorch, etc. Understanding of software development and debugging in embedded environments. Excellent communication skills (verbal, presentation, written) Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Familiarity with neural network operators and model formats including PyTorch, ONNX, and Tensorflow. Familiarity with neural network optimization techniques like graph optimization, quantization, pruning, knowledge distillation, network architecture search etc. Strong understanding about embedded systems, system design fundamentals. Well versed in version control tools like git Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. Educational Requirements Bachelor's/Master’s/PhD in Computer Science, Computer Engineering, or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072732

Position Production Chemist Business Unit / Function 3 Cyano Pyridine Location Bharuch Reports to Shift In Charge Summary of Job To ensure the shift plant operation as per SOP’s and work instructions. Key Responsibilities (Performance Indicators) To maintain the logbook and shift report. To operate the plant as per SOPs. To note down all the plant readings regularly and record in log sheet. Loading & unloading of the materials from drums, tanks & receivers as per the SOP. Maintaining alertness & keeping Shift in-charge posted about any abnormality in the plant. To make use of all the personnel protective equipment and maintain proper housekeeping in plant. Planned transfer/unloading of raw materials and dispatch of the finish goods. To analyze all process samples as per the quality plan to control process parameters. To collect the all process samples as per instruction of Shift In-charge along with all necessary safety precautions. To transfer the raw materials as per requirements. In addition to the above jobs, the management may assign any other responsibility as and when required. Awareness about responsible care (Environment, Health, Safety and Security ) No. of Reportees Nil Qualification & Experience Diploma – Chemical Engineer or B.Sc. in Chemistry 3 – 5 years of experience in Continuous chemical process / batch process plant. Key Competencies (Technical, Functional & Behavioral) Operating knowledge of Continuous chemical process / batch process. Working knowledge of Reactors, filters, centrifuges in the batch process. Adherence to quality / Safety norms. Knowledge of DCS / PLC based plant operation. Knowledge of distillation operation. Material handling (Toxic / hazardous).

Job Summary Gen AI Agentic AI Project Management Python 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). 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.

Qualification - 10 + Diploma Chemical or BSC Chemistry (Required 50%) Experience :- 2 to 5 Years Must have experience of DCS. The DCS Supervisor at Pearl Operations is responsible for leading and overseeing the Distributed Control System (DCS) activities, ensuring the efficient and safe operation of industrial processes. This role involves managing a team, optimizing control strategies, and maintaining a high standard of safety and reliability.Key Responsibilities:DCS Operations Management:Oversee the day-to-day operations of the Distributed Control System.Ensure that the DCS is configured and functioning optimally to meet production and safety requirements.Team Leadership:Lead and manage a team of DCS operators and technicians.Provide guidance, training, and support to ensure a skilled and motivated workforce.Process Optimization:Optimize DCS configurations and control strategies to improve process efficiency.Collaborate with process engineering teams to implement changes and enhancements.Safety and Compliance:Enforce safety protocols and regulatory compliance in DCS operations.Conduct regular safety audits and lead initiatives to enhance safety awareness.Troubleshooting and Maintenance:Oversee troubleshooting activities and resolve issues related to the DCS.Collaborate with maintenance teams to schedule and perform routine system maintenance.Cross-Functional Collaboration:Collaborate with other departments, including engineering, production, and maintenance, to integrate DCS requirements into overall operational plans.Participate in cross-functional teams for system upgrades and projects.Training and Development:Develop and implement training programs for DCS operators.Ensure ongoing training to keep the team abreast of the latest technologies and best practices.Performance Monitoring:Monitor key performance indicators (KPIs) related to DCS operations.Analyze data to identify areas for improvement and implement corrective actions.Documentation:Maintain accurate documentation of DCS configurations, changes, and operational procedures.Ensure that documentation complies with industry standards and internal policies.

- Conduct the experiment as per planning - Calculate reagent quantities, yields, etc. - Enter the experimental observations in Electronic Lab Notebook (ELN) - Conduct chemical reactions in batch and photochemical reactors - Handle the chemistries such as photochemistry, alkylation, oxidation, nitration, diazotization, chlorination, fluorination, vapourphase chemistry, etc - Conduct various purification techiques like fractional distillations, column chromatography and extractions - Prepare reports and documents as per product development element review methodology - Maintain the inventory of the reactors as per the laboratory management element - Interpret the GC, HPLC and wet chemistry results

- Responsible for the availability of raw materials as per lab requirements -To analyse quality results and discuss the experimentation plan with Research Incharge. - Understand the safety aspects of all reactions and chemicals to be used - Ensure the setup ( reaction assembly, distillation, filtration, reaction work-up, crystallization) as planned - Carry out reaction process as per the provided plan, get the analysis done of raw material , in process reaction intermediate and product - Record all observations and give suggestions for improvement - Ensure proper housekeeping of the lab - Maintain highest safety practices while working by using required PPEs (Personal protective equipment) - Maintain the log sheets of all the experiments regularly with critical observations and feed the data into Electronic Lab Notebook (ELN) - Stack of all the chemicals & glassware as per 5S (sort, set-in-order, shine, standardize, sustain) - After reaction completion, decontaminate the glass apparatus

- Responsible for the availability of raw materials as per lab requirements -To analyse quality results and discuss the experimentation plan with Research Incharge. - Understand the safety aspects of all reactions and chemicals to be used - Ensure the setup ( reaction assembly, distillation, filtration, reaction work-up, crystallization) as planned - Carry out reaction process as per the provided plan, get the analysis done of raw material , in process reaction intermediate and product - Record all observations and give suggestions for improvement - Ensure proper housekeeping of the lab - Maintain highest safety practices while working by using required PPEs (Personal protective equipment) - Maintain the log sheets of all the experiments regularly with critical observations and feed the data into Electronic Lab Notebook (ELN) - Stack of all the chemicals & glassware as per 5S (sort, set-in-order, shine, standardize, sustain) - After reaction completion, decontaminate the glass apparatus and give for further cleaning. - Segregate effluents as per the lab system

Job Description Job title Field Operator Span Plant Function Production Job Family Associate Reporting to (position) Shift-Incharge Direct Reportees (Nos) NA Purpose Statement To efficiently operate the plant equipments and machinery as per the defined safety standards to obtain the desired quality of finished products Key Role & Responsibilities - Inspect the physical condition of all the operative machinery (storage tank, equipment - pumps, blowers, rotary valves, pipeline, instrument etc.) before charging the raw materials and report any condition affecting safety, environment, efficiency or product quality - Receive and Check Raw Materials as per specifications to ensure the production requirement is met Operate and regulate the valves to control the flow of the raw materials to obtain the desired process parameters - Monitor the process parameters continuously; e.g.; density, set point, temperature and pH as per schedule and report it to DCS supervisor or shift in-charge for any deviations - Report any deviations in the equipments or any event in the plant or respective section, to the shift in- charge and follow instructions for corrective measures or emergency shutdown - Responsible for adherence to the SOP guidelines while start up, running operations and shut down of the plant - Ensure loading & unloading of tankers/trucks as per SOP - Responsible to decontaminate the equipments as per the schedule - React promptly on various safety alarms by mitigating risk, regulating or shutting down machinery during emergency situations, as directed by shift in-charge - Handle any leakage or spillage of hazardous substances as per the guidelines - Follow site HSE rules & mandatory PPE as per PPE Matrix, Behaviour based safety guidelines - Responsible for meeting housekeeping standards of allocated area - Draw samples of products & raw materials and send them to Q.C. lab for testing - Adhere to Zero Tolerance specifications Internal & External Relationship Function / Agency Purpose of Interaction Frequency Maintenance For preventive maintenance & operational maintenance Weekly Safety To initiate the safety permits for various works as per requirement Daily

About the Role: We are seeking an experienced MLOps Engineer to lead the deployment, scaling, and performance optimization of open-source Generative AI models on cloud infrastructure. You’ll work at the intersection of machine learning, DevOps, and cloud engineering to help productize and operationalize large-scale LLM and diffusion models. Key Responsibilities: Design and implement scalable deployment pipelines for open-source Gen AI models (LLMs, diffusion models, etc.). Fine-tune and optimize models using techniques like LoRA, quantization, distillation, etc. Manage inference workloads, latency optimization, and GPU utilization. Build CI/CD pipelines for model training, validation, and deployment. Integrate observability, logging, and alerting for model and infrastructure monitoring. Automate resource provisioning using Terraform, Helm, or similar tools on GCP/AWS/Azure. Ensure model versioning, reproducibility, and rollback using tools like MLflow, DVC, or Weights & Biases. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth production rollouts. Required Skills & Qualifications: 5+ years of total experience in software engineering or cloud infrastructure. 3+ years in MLOps with direct experience in deploying large Gen AI models. Hands-on experience with open-source models (e.g., LLaMA, Mistral, Stable Diffusion, Falcon, etc.). Strong knowledge of Docker, Kubernetes, and cloud compute orchestration. Proficiency in Python and familiarity with model-serving frameworks (e.g., FastAPI, Triton Inference Server, Hugging Face Accelerate, vLLM). Experience with cloud platforms (GCP preferred, AWS or Azure acceptable). Familiarity with distributed training, checkpointing, and model parallelism. Good to Have: Experience with low-latency inference systems and token streaming architectures. Familiarity with cost optimization and scaling strategies for GPU-based workloads. Exposure to LLMOps tools (LangChain, BentoML, Ray Serve, etc.). Why Join Us: Opportunity to work on cutting-edge Gen AI applications across industries. Collaborative team with deep expertise in AI, cloud, and enterprise software. Flexible work environment with a focus on innovation and impact.

We are looking for a Senior Data Scientist/TL in our EO Applied Data Science (EO Data) Team. Our mission is realized through foundational research and development in applied machine learning. With a plethora of Geospatial Data Science use-cases that we have solved so far, such as Land Use and Land Cover (LULC), Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc, we are now focusing on advancing the next-generation Machine Learning (ML) applications, and surpass the State-Of-The-Art (SOTA), especially in more ambiguous, complex geographies. We look forward to applying our research to critical products, while touching the lives of millions of users, via revolutionary, real, and near-real time large-scale software systems utilizing Terabytes of data. At the core of such systems, we are envisioning foundational geospatial data science models that are season, modality and ground agnostic. We have been at the forefront of adaptable and efficient models, as evidenced by our findings through publications at top ML/GRS conferences. About SatSure: SatSure is a deep tech, decision intelligence company that leverages Earth-Observation (EO) data to solve crucial problems at the nexus of agriculture, finance, infrastructure, utilities, aviation, energy, climate, to name a few. Our goal is to create an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all. With a founding team having roots in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), Indian Institute of Remote Sensing (IIRS), and the leadership team having diverse backgrounds (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment that focuses on the impact on society, driven by cutting-edge technology, and where you will have the freedom to work on innovative ideas and be creative with no hierarchies, SatSure is the place for you. Roles & Responsibilities: Own a couple of technical roadmaps and charters for assisting the science manager in terms of resource management. Technically mentor science staff and projects. Work in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases with low latency/ high throughput. Focus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements. Quickly propose and validate hypotheses to direct the product roadmaps. Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc. Brainstorm, deep dive, implement, debug into fundamentals of the systems (e.g., architectures, losses, efficiency, serving etc), while writing clean, production level code, and conduct A/B as necessary. Define proper output Data Science metrics and calibrate them to the desired business metrics. Clearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail. Engage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals. Innovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business. Mentor junior staff, interns as applicable. Assist Science managers in effective project, resource management, hiring, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability. Qualification: M.Tech, MS (Research), PhD in a technical field (e.g., CS, EE, EC, Remote Sensing, etc), preferably from leading academic/ industrial labs/institutes, corporates. Undergraduates/Dual-Degree with research experience as mentioned below may also be considered. Experience working in industry (2-6 years of experience), on projects from proof-of-concept to deployment and monitoring, while partnering with business stakeholders, product managers, engineers, and other data scientists to translate business needs into technical, deployed solutions. 1-2 years of industry experience as a technical leader, as evidenced by simultaneous, multiple project and/or people management/mentorship instances. Demonstration of functioning in a matrixed organization while aligning cross-functional stakeholders towards shared goals, and exhibiting excellent behavioral skills. Must-have: To be eligible for this role, we are looking for candidates with the following qualifications: A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc. Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Convolutional Neural Networks (CNNs), LSTMs/RNNs/GRUs, Transformers, UNet, YOLO, RCNN, Encoder-Decoder Architectures, Generative Models (GAN, VAE, Diffusion), Contrastive Learning, Self-Supervised Learning, Semi-Supervised Learning, Representation Learning, Image Super Resolution, Traditional Machine Learning (Classification, Regression, Clustering), Active Learning, Learning with Noisy Labels, Multimodal Learning, Synthetic Aperture Radar (SAR)/VV-VH bands, Normalized Difference Vegetation Index (NDVI), False Colour Composite (FCC), Dimensionality Reduction (PCA, UMAP, Isomap), Time-Series Modeling/ Forecasting, Model compression (Distillation, Pruning, Quantization), Automatic Mixed Precision training, Fourier Neural Operator (FNO), Climate+AI, Domain Adaptation, Domain Generalization, Anomaly Detection etc. Candidates with prior publications in (main tracks/ workshops of) ICLR, CVPR, ICCV, ECCV, NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, TACL, NAACL, TMLR, IGARSS, InGARSS, IEEE Transactions, etc, would have an edge too (with preference to first-authored ones). Proficiency in at least one general programming language (preferably, Python), along with strong hands-on experience with ML frameworks (e.g. PyTorch) in terms of training large, optimized, scalable, ML models. Strong verbal and written communication skills. Experience with SQL, large scale distributed systems (e.g., Spark), MLOps will be handy. Benefits: Medical Health Cover for you and your family including unlimited online doctor consultations Access to mental health experts for you and your family Dedicated allowances for learning and skill development Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves Twice a year appraisal Interview Process: Intro call Assessment Presentation Interview rounds (ideally up to 3-4 rounds) Culture Round / HR round Link to SatSure blogs

About Company : Our Client is a leading Indian multinational IT services and consulting firm. It provides digital transformation, cloud computing, data analytics, enterprise application integration, infrastructure management, and application development services. The company caters to over 700 clients across industries such as banking and financial services, manufacturing, technology, media, retail, and travel & hospitality. Its industry-specific solutions are designed to address complex business challenges by combining domain expertise with deep technical capabilities. With a global workforce of over 80,000 professionals and a presence in more than 50 countries. Job Title: Process Engineer Locations: PAN INDIA Experience: 4-6 Years (Relevant) Employment Type: Contract to Hire Work Mode : Work From Office Notice Period : Immediate to 15 Days Job Description: Good Experience in understanding P&IDs with respect to various equipment, instruments, and processes. Experience in Basic Process Engineering, Safety studies, HAZOP, Risk assessment, etc and should be well versed in understanding P&IDs and process systems. Experience in understanding logic and interlocks with respect to various systems. Knowledge about various process equipment, Utility equipment like distillation, furnace, Compressor, Chiller, steam systems, etc, its operation and expected hazards during operation. Communicate with onsite/offshore team for executing the projects. Excellent in Microsoft Word/Excel/Presentation and technical writing in English.

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI , an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures." Position Description As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products. Roles & Responsibilities Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data. Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files. Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs). Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility. Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications. Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace. Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges. Skills & Requirements 3–5 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning. Solid understanding of image processing, visual document understanding, and feature extraction from visual data. Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus. Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning. Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers. Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation). - Good to have Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure). Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines. Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate. Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills. Why Work With Us? Be part of a visionary team building a first-of-its-kind AI solution for the construction industry. Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. Culture that encourages ownership, innovation, and growth. Opportunities for fast learning, mentorship, and career progression.

Job Description We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers who love solving problems. We want people who can empathize with the consumer, understand business problems, and design and deliver intelligent products. People who are looking to extend artificial intelligence into unexplored areas. Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis. Responsibilities Selecting features, building and optimizing classifier engines using deep learning techniques. Understanding the problem and applying the suitable image processing techniques Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation. Recommend and implement best practices around the application of statistical modeling. Create, train, test, and deploy various neural networks to solve complex problems. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development. Understanding the requirements and designing solutions and architecture in accordance with them. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables. Design and implement scalable data science architectures for training, inference, and deployment pipelines. Ensure code quality, readability, and maintainability by enforcing software engineering best practices within the data science team. Optimize models for production, including quantization, pruning, and latency reduction for real-time inference. Drive the adoption of versioing strategies for models, datasets, and experiments (e.g., using MLFlow, DVC). Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads. Skills and Qualifications Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability. Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc. Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks. Experience in solving problems in the domain of Computer Vision. Knowledge of data, data augmentation, data curation, and synthetic data generation. Ability to understand the complete problem and design the solutions that best fit all the constraints. Knowledge of the common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV etc. Good applied statistical skills, such as distributions, statistical testing, regression, etc. Exposure to Agile/Scrum methodologies and collaborative development practices. Experience with the development of RESTful APIs. The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential. Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies. Experience with medical image analysis will be an advantage. Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers). Solid understanding of software design patterns, microservices, and cloud-native architectures. Expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation) Education: BE/B Tech MS/M Tech (will be a bonus) Experience: 3-5 Years

🚀 Job Title: AI Engineer (Full Stack / Model Deployment Specialist) Location: Remote (India preferred) Type: Full-Time (6-Month Fixed Contract) Experience Level: 1+ Years Salary: Competitive (based on experience) Potential: High-performing candidates may be offered a permanent role after the contract 🧩 About Us We are a dynamic collaboration between Funding Bay , Effer Ventures , and FBX Capital Partners, three industry leaders combining forces to deliver financial, compliance, and strategic growth solutions to businesses across the UK. We’re looking for an AI Engineer who can bridge the gap between machine learning and production-ready applications. If you love optimizing models, deploying them in real-world environments, and know your way around modern web stacks, this role is for you. 🔧 What You’ll Do End-to-End Ownership of ML Models: From training and evaluation to optimization and deployment. Deploy ML Models using AWS services (EC2, Lambda, S3, SageMaker, or custom Docker setups). Optimize Model Performance: Ensure fast inference, low memory usage, and high-quality results. Integrate AI into MERN Stack Applications: Build APIs and interfaces to expose your models to the frontend. Collaborate Cross-Functionally with frontend, product, and design teams. Build scalable and secure pipelines for data ingestion, model serving, and monitoring. Optimize for Speed & Usability : Ensure both backend inference and frontend UI are responsive and seamless. ✅ What We’re Looking For Proficient in MERN Stack (MongoDB, Express.js, React, Node.js) Strong Python skills , especially for AI/ML (NumPy, Pandas, scikit-learn, TensorFlow or PyTorch etc) Hands-on with Model Optimization : Quantization, pruning, distillation, or ONNX deployment is a plus Solid AWS Experience: EC2, S3, IAM, Lambda, API Gateway, CloudWatch, etc. Experience with Docker & CI/CD pipelines (e.g., GitHub Actions, Jenkins) Comfortable building and consuming REST/GraphQL APIs Familiar with ML deployment tools like FastAPI, Flask, TorchServe, or SageMaker endpoints Good understanding of performance profiling, logging, and model monitoring ⭐ Nice to Have Experience with LangChain , LLMs , or NLP pipelines Startup or fast-paced team background Open-source contributions or live-deployed AI projects 🌱 Why Join Us? Build & deploy real AI products that go live Work in a growth-focused, high-ownership environment 6-month contract with the potential for a Permanent full-time Flexible work culture & flat hierarchy Learn fast and build faster with founders and builders Take ownership of core parts of the AI stack Competitive compensation based on experience 📬 To Apply Send us: Your resume A link to your GitHub or portfolio A short paragraph about a project where you deployed an optimized AI model 📧 Email: developer@fundingbay.co.uk or directly apply

Ø To achieve the product quality as per the customer specification and ensure on time delivery of the product. Ø Meet customer complaints regarding product quality. Ø To meet the ISO Standards, satisfactorily to the internal and external auditors Ø Ensuring quality and availability of Raw materials Ø Ensuring the stock and safe handling of the solvent. Ø Ensuring the operational fitness of all machinery and distillation columns. Ø All process log sheets verification. Ø Ensuring preventive and breakdown maintenance activities. Ø Ensure cleanliness of premises and employees. Ø Maintenance of stipulated records of Production Ø Other works assigned by superiors.. Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Food provided Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Coimbatore, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Required) Experience: Food industry: 5 years (Required) Work Location: In person

Job Title: Process Simulation Engineer Experience Required: 4–6 Years (Relevant Experience) Job Location: Pune, Maharashtra About the Company: Our client is a reputed and fast-growing engineering consultancy specializing in process design and optimization for the pharmaceutical, chemical, and biotech industries. The company is known for its deep domain expertise in process engineering and a strong focus on innovation, quality, and practical solutions tailored to client needs. Key Responsibilities: Develop and validate process simulations using tools such as Aspen Plus, Aspen HYSYS, Aspen EDR, Aspen Adsorption, and HTRI. Troubleshoot and resolve technical issues related to simulation models and process performance. Conduct adequacy checks and support process optimization for existing plant operations. Apply advanced knowledge of separation technologies including distillation, extraction, evaporation, chemical reactions, adsorption, pervaporation, etc. Perform detailed Heat and Mass Balance (HMB) calculations and hydraulic analysis across various process systems. Execute equipment sizing for unit operations such as distillation columns, heat exchangers, evaporators, separators, and pumps. Collaborate with the engineering and proposal teams to provide accurate and timely technical inputs. Leverage strong analytical and problem-solving abilities to identify inefficiencies and propose process improvements. Preferred Skills: Proficiency in AspenTech simulation software and HTRI. Strong grasp of chemical/process engineering fundamentals. Excellent communication and team collaboration skills.

Who We Are TAPI is the leading international supplier of active pharmaceutical ingredients (APIs). With the industry's broadest portfolio including over 350 API products. We are the go-to global supplier for APIs, supporting 80% of top 50 global pharmaceutical companies. We are proud of our reliable history in the generic API industry dating back over 80 years, and the fact we are considered to be one of the most trusted API suppliers, these enable TAPI to lead the industry, based on our experience, expertise, technologies, and exceptional customer service. Our employees are at the core of our success. Our Headquartered is in Israel, TAPI employs more than 4,000 professionals at 14 sites worldwide. Our state-of-the-art production facilities are located in Italy, Hungary, the Czech Republic, Croatia, Israel, Mexico and India. Our significant ongoing investment in R&D generates a steady flow of APIs, enabling timely introduction of new products to market. The opportunity GMS&T Flow chemistry lab technician is a professional position in API manufacturing processes, Technology & design. Focusing on process and product life cycle to insure robust and competitive products, enhance operational technology excellence. Bringing new technologies and innovative solutions to upgrade our process operation. This role will be working in a cross functional matrix organization to support TAPI business objectives. How You’ll Spend Your Day Operate GMS&T Flow chemistry laboratory and run the needed trials Evaluate several projects in parallel of shifting process from batch operation to Flow Support the introduction of new and innovative technology to lab, understand of the technology benefits, limitations and how it works, how to assemble it and how to conduct trials Work in collaboration with different interphases across the network, mostly with production sites MS&T and R&D Any other initiative that might be addressed to GMS&T Your Experience And Qualifications M.Sc. degree or B.Sc. with vast knowledge & Experience in chemical engineering with deep understanding in Organic chemistry and Process chemistry Alternatively, PhD Degree or Master's with vast knowledge and experience in Organic chemistry and process engineering aspects related to scale up, manufacturing and technology 7+ years with proven "hands on" history in chemical lab, conducting and analyzing experiments in lab / Pilot plant, with hazardous materials under safety considerations 3+ years of experience with proven "hands on" in Flow Chemistry and continuous manufacturing Excellent lab skills – assembling trials systems, with different equipment such as reactors, condensers, distillation columns, filters, pumps , piping and so on Understanding of chemical process equipment design and scale up in manufacturing environment Familiarization with innovative technological solutions Previous experience in global company Required Skills Excellent technical skills Working experience in Flow chemistry lab/Pilot plant Able to work independently with minimal supervision Mental flexibility, capable to adjust quickly to changes in the working plan Strong analytical capabilities and Problem-solving skills Team player able to build and maintain relationships both internal and external Strong written and verbal communication skills in English Knowledge of Good Manufacturing Practice in a regulated industry Strong organizational and interpersonal skills Already Working @TEVA? If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner. Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience. Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, genetic information, marital status, sexual orientation, gender identity or expression, ancestry, national or ethnic origin, citizenship status, military status or status as a disabled or protected veteran, or any legally recognized status entitled to protection under applicable federal, state, or local laws.

Responsibilities: * Oversee batch manufacturing & processing * Ensure chemical quality & safety standards met * Coordinate production schedules & resources allocation Log Sheet Verification: Regularly check and verify log Health insurance Annual bonus

Creating PFDs, P&IDs, & concept layouts for new projects To generate Mass Balance, Energy Balance for new projects Must be able to calculate and arrive at CAPEX figures for Class 4 estimation Should Participitate in Hazop, PSSR of Pilot trials Enquiry floating of equipment's and technical clearance of equipment Helping Pilot operation team in trouble shooting Capture learnings from running projects and implement in Pilot trial DoE Support Management of Change during Pilot execution Reviewing R&D TTD package with R&D for new molecule development Designing Pilot trials with Pilot operations team and Project Process team for new molecule development

Compensation: INR 50 lacs-1cr (INR 30-50 lacs pa plus stocks worth a similar amount) Strictly please do NOT apply if you have not done at least 4 years of programming and have not worked on data projects that have high volume data and have not worked on product development. Preferred location is Hyderabad we are open to people who want later to be at Noida. Multiplier AI is a leader in AI accelerators for life sciences and is due for listing. About the Role We are seeking a seasoned and forward-thinking AI Product Development Manager to spearhead AI data cloud implementation projects across enterprise and industry-specific use cases. This is a high-impact leadership role that combines deep technical expertise with strategic consulting to deliver scalable, efficient, and secure data wrangling product solutions. This will include work on agentic and other AI technicalities. Key Responsibilities Lead end-to-end design and deployment of data platforms in production environments. Define architecture for on-device or private-cloud data deployments, optimizing for latency, token cost, and privacy. Collaborate with cross-functional teams (data, MLOps, product, security) to integrate into existing systems and workflows. Data extraction and transformation leadership Mentor engineering and data science teams on best practices in efficient prompt engineering, RAG pipelines, quantization, and distillation techniques. Act as a thought partner to leadership and clients on GenAI roadmap, risk management, and responsible AI design. Required Skills & Experience Proven experience in bbuilding data extraction and transformation projects in production preferably using LLMs and NLP techniques. this is essential do not apply if not done it Strong understanding of transformer architecture, tokenizer design, and parameter-efficient fine-tuning (LoRA, QLoRA). Hands-on with informatica Realtio and data management optimization techniques. Experience integrating SLMs into real-world systems—mobile apps, secure enterprise workflows, or embedded devices. Background in Python, PyTorch/TensorFlow, and familiarity with Data ops tools Ships product faster Preferred Qualifications Prior consulting experience with AI/ML deployments in pharma, finance, or regulated sectors. Familiarity with privacy-preserving AI, federated learning, or differential privacy. Contributions to data ETL projects What We Offer Leadership in shaping the future of lightweight AI. Exposure to cutting-edge GenAI applications across industries. Competitive compensation and equity options (for permanent roles).

Loading.... Eduberance is an Online Career Guidance Platform for School students. We have verified Career information with related course and institute details. We provide relevant approaches to career selection with our process of Explore, Reliase and Achieve.. Company. About Us. Mission Vision Values. Team. Events. Frequently Asked Questions. Contact. Privacy Policy. Cookie Policy. Terms and Conditions. Refunds and Cancellations. Entrepreneurship Assessment. careers. Agriculture. Armed Forces. Arts & Design. Aviation, Hospitality and Travel. Beauty and Fitness. Business and Commerce. Education. Humanities. Information Technology. Law and Enforcement. Media and Entertainment. Medical. Science & Engineering. Sports. Others. contact us. +91 8617298646. careers@eduberance.com. SIGN UP FOR OUR NEWSLETTER. Subscribe to our newsletter to receive offers, updates and new careers information.. © 2021-2024 All rights reserved. Made withby Eduberance Education Ventures. Back to top. Show more Show less

Designation - Plant Operator Company - Leading Chemical Mfg. Company Job Location - Dahej, Bharuch Qualification - ITI - AOCP Experience - 0 - 3 yrs. Total Openings - 20 Nos. Fresher or Apprentice completed can apply share with your friends. Required Candidate profile Responsible for handling production activities Fresher or Apprentice completed can apply Total - 20 Openings Refer your friends / Colleague for this opening Company provide Transportation,Canteen