224 Distillation Jobs - Page 6

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. Show more Show less

Role & responsibilities : Production/ Quality/ Maintenance Preferred candidate profile :Production/ Quality/ Maintenance

Role & responsibilities : Process, Liqufecation/fermentation, Distillation/ MDSH/ Drier, Milling Preferred candidate profile DIFAT,

Work Your Magic with us! Start your next chapter and join MilliporeSigma. Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. Your Role This position is to support the shift wise operation with 6 days of working. Safely perform operations to meet quality expectations throughout the process. Clean up equipment and working areas during and after operations. Complete the volume of work required to achieve group/departmental goals and meet deadlines. Implementing kaizens. To support ISO, EHS, internal, external, and other regulatory audits To maintain 6S in Manufacturing area. To report and record the deviations observed during the activity. To support AM/PM activities. Contribute to support functions of the lab (e.g., maintain equipment, prepare reagents, restock lab supplies, waste disposal). Communicate the status of operations and bring deviations to the attention of a supervisor. Provide complete and accurate records consistent with quality guidelines. Ensure all applicable logbooks have been filled out completely as required by current procedures. Interact with other departments as needed, including participation in quality audits. Accurately perform procedures independently. Identify problems and limitations of analysis. Perform routine troubleshooting. In compliance with change control procedures, improve processes through application of scientific knowledge, experience, and principles. Participate in process improvements under the guidance of a supervisor or Scientist. Take the necessary action to resolve any unsafe conditions. Develop improvement ideas, review impact of changes, and document all work. Perform and interpret analytical evaluations of products and intermediates. Taking lead in CAPA and RCA for the incidents Safe handling of solvent distillation, solvent transfer Who You Are, Basic Qualification: Education: Diploma in chemical engineering Exp: 4 – 5 Years Mandate Gas handling, Catalyst Handling, Hydrogenation, Distillation. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Cloud AI Engineer The opportunity We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. We are looking for a talented and motivated AI Engineer to join our team and work alongside our AI Architect. The ideal candidate will have a strong background in AI/ML, data engineering, and cloud technologies, with a focus on AI & Generative AI (GenAI) technologies. You will be responsible for developing, deploying, and optimizing AI models and solutions, ensuring they meet the performance, scalability, and security requirements of our organization. EY Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives. We advise clients on their most pressing digital challenges and opportunities surround business strategy, customer, growth, profit optimization, innovation, technology strategy, and digital transformation. We also have a unique ability to help our clients translate strategy into actionable technical design, and transformation planning/mobilization. Through our unique combination of competencies and solutions, EY’s DE team helps our clients sustain competitive advantage and profitability by developing strategies to stay ahead of the rapid pace of change and disruption and supporting the execution of complex transformations. Your Key Responsibilities AI/ML Model Development Develop and train machine learning models using frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Leverage large language models (LLMs) and work on cloud LLM deployments. Build AI agents and have a solid understanding of agentic frameworks. Implement and fine-tune AI models for various business applications. AI/ML Deployment and Optimization Deploy machine learning models on cloud platforms (e.g., AWS, Azure, GCP). Optimize AI pipelines for both real-time and batch processing. Understand concepts around model fine-tuning, distillation, and optimization. Monitor and maintain the performance of deployed models, ensuring they meet business requirements. Cloud Integration Integrate AI/ML models with existing cloud infrastructure. Utilize cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to manage AI workloads. Ensure compliance with data privacy and security standards. Collaboration and Support Work closely with the AI Architect to design scalable AI solutions. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. Provide technical support and troubleshooting for AI-related issues. Continuous Learning and Innovation Stay updated on the latest advancements in AI/ML technologies. Experiment with new AI tools and frameworks to enhance existing solutions. Contribute to the adoption of best practices for AI model lifecycle management. Skills And Attributes For Success Proficiency in AI/ML frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn. Experience with cloud platforms: AWS, Azure, GCP. Understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop). Hands-on experience with containerization and orchestration tools (Docker, Kubernetes). Knowledge of DevOps practices for AI/ML (MLOps). Strong understanding of deep learning models, including DNN, LSTM, Transformers, RL, and GNN. Experience with Generative AI technologies, including LLMs, model fine-tuning, distillation, and optimization. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus. Experience: At least 5+ years in AI-related roles Proven experience in developing and deploying AI solutions with Python, JavaScript Strong background in machine learning, deep learning, and data modelling. Experience in integrating AI models with cloud infrastructure. Agile Methodologies: Familiarity with Agile development practices and methodologies. Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field. What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

DesignationService Engineer Full Time Opportunity LocationMultiple Roles & Responsibilities : Setting up, testing, and repairing RF Dryers, Stenters, Sanforizers, and other textile processing equipment Frequency of travelling minimum 20 days a month or more Knowledge and skill : Competence of drives and their communication process Good understanding of installation/commissioning equipment, electrical & electronics knowledge in the areas of machine commissioning procedures Expertise in processing textiles. Experience : - Person having experience in the maintenance department of processing mills and / or servicing or trouble shooting of textile processing machineries will be preferred. - A minimum of 3 years is a must in the case of an engineering degree and a minimum of 3 years of experience is a must in the case of Diploma engineering in the above referred areas. QualificationDiploma or Degree in Electrical / Electronics / Mechatronics This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

PLEASE NOTE: THIS ROLE IS ONLY FOR CANDIDATES WITH 5 TO 7 YEARS OF EXPERIENCE About PharmSight PharmSight is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. We are dedicated to improving patient outcomes and driving advancements in the pharmaceutical industry through the application of advanced artificial intelligence Why join PharmSight? Competitive Compensation: Best-in-class salary with structured career progression Flexible Work Environment: Option to work from anywhere, at any time Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development Role Overview As an AI Developer/Engineer (LLM) at PharmSight, you will be at the forefront of designing, developing, and deploying generative AI applications using state-of-the-art large language models (LLMs). You will be instrumental in crafting innovative AI solutions that solve complex challenges in bio-pharma analytics, product research, and market intelligence, directly impacting our clients ability to make data-driven decisions. This role demands a unique combination of deep technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains Key Responsibilities Architect, implement, and optimize large language models (LLMs) such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into PharmSight’s analytics platforms Leverage graph databases (e.g., vector graphs, hybrid graphs) to enhance structured knowledge extraction from unstructured text Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain Contribute findings to open-source projects, publish research insights, and represent PharmSight in AI research communities Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI Requirements Educational Background: bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field AI & ML Experience: 5-7 years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs) Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch) Solid understanding of prompt engineering, model optimization, and NLP techniques Healthcare/Pharma Knowledge: A solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring) (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (Eg, Neo4j, Entity extraction, nodes extraction) Join Us PharmSight offers a competitive salary, comprehensive benefits package, and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact Interested? Send your CV/Resume to Careers@pharmsight.com , and we’ll get back to you soon! Show more Show less

Detailed Process Understanding on Unit Operations (Distillation, Extraction, Filtration, Drying, Absorption, Stripping) GAP Analysis Study (Theoretical Vs Actual) along with Cost Evaluation Study for deciding Priorities Review of P&ID

Roles and Responsibilities Operate Liqufecation/Fermentation/ distillation /MEE/MSDH/, dryer, Co2/Milling/WTP/PCTP and other equipment to produce high-quality spirits. Monitor and control fermentation processes to ensure optimal conditions for distillation. Perform routine maintenance tasks on equipment to prevent breakdowns and optimize performance. Collaborate with team members to troubleshoot issues and improve overall efficiency. Ensure compliance with safety protocols and quality standards.

Company Description SpectraA Group, established in Bangalore in 2009, is a technology solutions provider for the Food & Pharma sector. With divisions focused on technology, execution, electrical, and overseas operations, SpectraA offers turnkey projects, equipment, systems, and specialized fabrication for breweries, spirits blending plants, and more. The team's expertise spans Process, Static Engineering, Fabrication, and Project Management, with installations across India and internationally. Role Description This is a full-time on-site role for a Project Controller/Engineer with a brewing & distillation background in the Food & Pharma sector at SpectraA Technology Solutions Limited located in Bengaluru. The Project Controller/Engineer will be responsible for project management, site management, commissioning, and overseeing the execution of turnkey projects, equipment installations, and piping systems in breweries, spirits blending plants, and other specialized fabrication projects. Qualifications Project management, site management, and commissioning skills Experience in overseeing turnkey projects, equipment installations, and piping systems Background in brewing & distillation in the Food & Pharma sector Engineering degree or relevant qualification in the related field Strong communication and coordination skills Knowledge of process automation and electrical consultancy Ability to work in a diverse team environment Experience in procurement and production processes Show more Show less

Company Description UAE-based ZySec AI provides cutting-edge cybersecurity solutions to help enterprises tackle evolving security challenges at scale. Utilizing an autonomous AI workforce, ZySec AI enhances operational efficiency by automating repetitive, resource-intensive tasks, enabling security teams to focus on strategic priorities. Our mission is to make AI more efficient, accessible, and private for security professionals.mWe're building the future of Autonomous Data Intelligence at CyberPod AI and were looking for a deeply technical, hands-on AI Engineer to push the boundaries of whats possible with Large Language Models (LLMs). This role is for someone whos already been in the trenches: fine-tuned foundation models, experimented with quantization and performance tuning, and knows PyTorch inside out. If youre passionate about optimizing LLMs, crafting efficient reasoning architectures, and contributing to open-source communities like Hugging Face, this is your playground. Role Description Fine-tune Large Language Models (LLMs) on custom datasets for specialized reasoning tasks. Design and run benchmarking pipelines across accuracy, speed, token throughput, and energy efficiency. Implement quantization, pruning, and distillation techniques for model compression and deployment readiness. Evaluate and extend agentic RAG (Retrieval-Augmented Generation) pipelines and reasoning agents. Contribute to SOTA model architectures for multi-hop, temporal, and multimodal reasoning. Collaborate closely with the data engineering, infra, and applied research teams to bring ideas from paper to production. Own and drive experiments, ablations, and performance dashboards end-to-end. Requirements Hands-on experience working with deep learning and large models, particularly LLMs. Strong understanding of PyTorch internals: autograd, memory profiling, efficient dataloaders, mixed precision. Proven track record in fine-tuning LLMs (e.g., LLaMA, Falcon, Mistral, Open LLaMA, T5, etc.) on real-world use cases. Benchmarking skills: can run standardized evals (e.g., MMLU, GSM8K, HELM, TruthfulQA) and interpret metrics. Deep familiarity with quantization techniques: GPTQ, AWQ, QLoRA, bitsandbytes, and low-bit inference. Working knowledge of Hugging Face ecosystem (Transformers, Accelerate, Datasets, Evaluate). Active Hugging Face profile with at least one public model/repo published. Experience in training and optimizing multi-modal models (vision-language/audio) is a big plus. Published work (arXiv, GitHub, blogs) or open-source contributions preferred. If you are passionate about AI and want to be a part of a dynamic and innovative team, then ZySec AI is the perfect place for you. Apply now and join us in shaping the future of artificial intelligence. Show more Show less

Job Title: Design Engineer – Process Equipment Manufacturing Location: Mysore Company: CADIF PRIVATE LIMITED About Us: Cadif is a growing startup company engaged in the design and manufacturing of process equipment such as herbal extractors, reactors, condensers, evaporators, tanks etc and more. We cater to various industries including pharmaceuticals, chemicals, food processing, and distillation . With facilities in Mysore and Bangalore, we are expanding our team and looking for passionate professionals to join us. Key Responsibilities: Design process equipment and pressure vessels as per project specifications. Prepare detailed manufacturing drawings using CAD software (SolidWorks,). Coordinate with production and fabrication teams to ensure smooth execution. Optimize designs for manufacturability and cost efficiency. Assist in technical documentation and project tracking. Required Skills & Qualifications: Diploma/Degree in Mechanical Engineering or related field. 2–5 years of experience in equipment design, preferably in process or pressure vessel industry. Proficiency in SolidWorks. Basic knowledge of ASME/IS standards is a plus. Good communication and teamwork skills. What We Offer: Competitive salary based on experience. Exposure to diverse projects in a growing industry. Friendly and supportive work environment. Opportunity to work with experienced professionals in design and manufacturing. To Apply: Send your resume to hra@cadifindia.com. Mention "Design Engineer Application" in the subject line. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Mysuru, Karnataka: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Exposure to Process Equipment's Designing and Modeling Education: Bachelor's (Required) Experience: SolidWorks: 3 years (Required) Process Equipment's: 3 years (Required) Language: English (Required) Location: Mysuru, Karnataka (Preferred) Work Location: In person

A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers. As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. AI Engineer Overview We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI. Core Qualifications Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models) Expertise in PyTorch or TensorFlow, with a preference for experience in both Proficiency in Python and software engineering best practices for AI systems Technical Skills Required Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc. Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E) Familiarity with prompt engineering and few-shot learning techniques Expertise in MLOps and LLMOps practices, including CI/CD for ML models Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI) Preferred Proficiency in optimizing generative models for inference (quantization, pruning, distillation) Experience with distributed training of large-scale AI models Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server) Key Responsibilities Architect and implement end-to-end generative AI solutions, from data preparation to production deployment Develop custom AI models and fine-tune pre-trained models for specific client use cases Optimize generative models for production, balancing performance, latency, and resource utilization Design and implement efficient data pipelines for training and serving generative models Develop strategies for effective prompt engineering and few-shot learning in production systems Implement robust evaluation frameworks for generative AI outputs Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems Address challenges related to bias, fairness, and ethical considerations in generative AI applications Project Delivery Lead the technical aspects of generative AI projects from pilot to production Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems Conduct technical feasibility studies for applying generative AI to novel use cases Implement monitoring and observability solutions for deployed generative models Troubleshoot and optimize generative AI systems in production environments Client Engagement Provide expert technical guidance on generative AI capabilities and limitations to clients Collaborate with solution architects to design generative AI-powered solutions that meet client needs Present technical approaches and results to both technical and non-technical stakeholders Assist in scoping and estimating generative AI projects Innovation and Knowledge Sharing Stay at the forefront of generative AI research and industry trends Contribute to the company's intellectual property through patents or research publications Develop internal tools and frameworks to accelerate generative AI development Mentor junior team members on generative AI technologies and best practices Contribute to technical blog posts and whitepapers on generative AI applications The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what's possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients. Show more Show less

At Mott MacDonald, we are proud to be part of an ever-changing global industry, delivering transformative work that’s defining our future. It’s our people who power that performance. We employ brilliant people, and we trust them to do brilliant things. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward, contributing towards career-defining projects that create essential social outcomes. Roles & Responsibilities Review & checking of documents Should be a team leader, should have handled team consisting of 5+ members Should be able to communicate with client, understand their requirements and can solve issues Review of Design Basis documents, BEP, FEED Review of Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Review & guide for Heat & Mass Balance calculations Review of Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Develop Process Control Philosophy and Control Narratives Review of Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Review & checking of Vendor drawings and documents Should be able to estimate effort for any activity Candidate Specification Experience in chemical process industries or a similar chemical engineering process field, with strong consulting background Strong aptitude in Chemical Engineering Good understanding of process unit operations and process calculations, including principles of heat exchangers, distillation, fluid flow, and reactions Analytical thinking and problem-solving skills Excellent interpersonal skills and ability to work in a team Strong technical communication skills, with the ability to effectively communicate with other discipline engineers to understand and solve their issues Working experience with HYSYS and HTRI software Experience in designing various process equipment and engineering concepts Active participation in HAZID, HAZOP, SOP, and Process Safety development Proficiency in preparing and reviewing PFDs, P&IDs, Heat and Mass Balance calculations, and process equipment sizing Experience in risk studies and brainstorming on process units involving risk analysis and safeguards Ability to analyse, optimize, and troubleshoot chemical process plant equipment and machinery Experience in preparing and reviewing process datasheets for equipment such as distillation columns, separators, reactors, and heat exchangers Execution of debottlenecking projects and expansion studies Participation in MOC studies and recommendations With so many opportunities to learn, grow and excel, the possibilities are as varied as every individual to shape the career that’s right for you. Whether you want to pursue excellence in a specialism or broaden your experience with flexible roles across our business, you’re connected to a community of global experts championing you to be your best. As a proudly employee-owned business, we’re here to benefit our clients, our communities and each other. Our shared success enables us to invest in creating a platform for everyone to feel safe and valued, empowered with the right tools and right support, in a place where fairness and integrity run deep. Whatever your ambition, Mott MacDonald is where everyone has the opportunity to be brilliant. We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Mumbai, MH, IN Ahmedabad, GJ, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 8610 Recruiter Contact: Vrajesh Gajjar Show more Show less

At Mott MacDonald, we are proud to be part of an ever-changing global industry, delivering transformative work that’s defining our future. It’s our people who power that performance. We employ brilliant people, and we trust them to do brilliant things. We’re a collection of leading experts who combine our different expertise to stay ahead of the curve and move the industry forward, contributing towards career-defining projects that create essential social outcomes. Roles & Responsibilities Review & checking of documents Should be a team leader, should have handled team consisting of 5+ members Should be able to communicate with client, understand their requirements and can solve issues Review of Design Basis documents, BEP, FEED Review of Process Flow Diagrams (PFD) and Piping & Instrumentation Diagrams (P&ID) Review & guide for Heat & Mass Balance calculations Review of Hydraulic Calculations Design process equipment such as heat exchangers, columns, and reactors Size Pressure Safety Valves (PSV) and Emergency Relief Valves (ERV) Develop Process Control Philosophy and Control Narratives Review of Process Data Sheets (PDS) and Instrument Process Data Sheets (IPDS) Review & checking of Vendor drawings and documents Should be able to estimate effort for any activity Candidate Specification Experience in chemical process industries or a similar chemical engineering process field, with strong consulting background Strong aptitude in Chemical Engineering Good understanding of process unit operations and process calculations, including principles of heat exchangers, distillation, fluid flow, and reactions Analytical thinking and problem-solving skills Excellent interpersonal skills and ability to work in a team Strong technical communication skills, with the ability to effectively communicate with other discipline engineers to understand and solve their issues Working experience with HYSYS and HTRI software Experience in designing various process equipment and engineering concepts Active participation in HAZID, HAZOP, SOP, and Process Safety development Proficiency in preparing and reviewing PFDs, P&IDs, Heat and Mass Balance calculations, and process equipment sizing Experience in risk studies and brainstorming on process units involving risk analysis and safeguards Ability to analyse, optimize, and troubleshoot chemical process plant equipment and machinery Experience in preparing and reviewing process datasheets for equipment such as distillation columns, separators, reactors, and heat exchangers Execution of debottlenecking projects and expansion studies Participation in MOC studies and recommendations With so many opportunities to learn, grow and excel, the possibilities are as varied as every individual to shape the career that’s right for you. Whether you want to pursue excellence in a specialism or broaden your experience with flexible roles across our business, you’re connected to a community of global experts championing you to be your best. As a proudly employee-owned business, we’re here to benefit our clients, our communities and each other. Our shared success enables us to invest in creating a platform for everyone to feel safe and valued, empowered with the right tools and right support, in a place where fairness and integrity run deep. Whatever your ambition, Mott MacDonald is where everyone has the opportunity to be brilliant. We Can Offer (subject To Company’s Policy) Agile and safe working environment Competitive annual leave and sick leaves Group incentive scheme Group term life insurance, Workmen’s compensation and Group medical insurance coverage Short and Long-term Global employment opportunities Global collaboration and knowledge sharing Digital Innovation and Transformation Equality, diversity and inclusion We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute. Agile working At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team and personal commitments. We embrace agility, flexibility and trust. Location(s): Mumbai, MH, IN Ahmedabad, GJ, IN Contract Type: Permanent Work Pattern: Full Time Market: Energy Discipline: Energy Job Ref: 8610 Recruiter Contact: Vrajesh Gajjar Show more Show less

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

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

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

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

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

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

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

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

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

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