1254 Inference Jobs - Page 46

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Maria Monica Fernando Canding Sponsorship Available: No Relocation Assistance Available: No Job Responsibilities You analyze business and technical needs, translating processes into practice using the current Information Technology toolsets. You implement new solutions through configuration and the creation of functional specifications, facilitating solution realization. You conduct full integration testing of new or changed business/technical processes, and develop business/technical cycle tests for use by stakeholders. You document all process changes and share relevant knowledge with stakeholders. You troubleshoot, investigate, and persist in finding solutions to problems with unknown causes, where precedents do not exist, by applying logic, inference, creativity, and initiative. You provide cross-functional support and maintenance for the responsible business/technical areas. You conduct cost/benefit analyses by evaluating alternative design approaches to determine the best-balanced solution. The best-balanced solution satisfies immediate stakeholder needs, meets system requirements, and facilitates subsequent change. You assume a leadership role in small initiatives, playing the key contributor, facilitator, or group lead. Qualifications You hold a Bachelor's degree in MIS, Computer Science, Engineering, Technology, Business Administration, or, in lieu of a degree, have 9 years of IT experience. You have at least 4 years of experience in IT, with a minimum of 2 years of experience in SAP. You possess techno-functional knowledge of SAP IT applications in the relevant business area. You have the ability to understand business processes and needs, delivering prompt, efficient, and high-quality service to the business. You have strong analytical and problem-solving skills, with excellent written and verbal communication skills and a strong command of English. You have solid solution design capabilities across functions and applications. You are able to work flexible hours as required for special occasions. Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 74,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate Show more Show less

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. We’re looking for an experienced Data Scientist who will help us build marketing attribution, causal inference, and uplift models to improve the effectiveness and efficiency of our marketing efforts. This person will also design experiments and help us drive consistent approach to experimentation and campaign measurement to support a range of marketing, customer engagement, and digital use cases. This Lead Data Scientist brings significant experience in designing, developing, and delivering statistical models and AI/ML algorithms for marketing and digital optimization use cases on large-scale data sets in a cloud environment. They show rigor in how they prototype, test, and evaluate algorithm performance both in the testing phase of algorithm development and in managing production algorithms. They demonstrate advanced knowledge of statistical and machine learning techniques along with ensuring the ethical use of data in the algorithm design process. At Salesforce, Trust is our number one value and we expect all applications of statistical and machine learning models to adhere to our values and policies to ensure we balance business needs with responsible uses of technology. Responsibilities As part of the Marketing Effectiveness Data Science team within the Salesforce Marketing Data Science organization, develop statistical and machine learning models to improve marketing effectiveness - e.g., marketing attribution models, causal inference models, uplift models, etc. Develop optimization and simulation algorithms to provide marketing investment and allocation recommendations to improve ROI by optimizing spend across marketing channels. Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production. Design experiments to support marketing, customer experience, and digital campaigns and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to experimentation and campaign measurement. Be a master in cross-functional collaboration by developing deep relationships with key partners across the company and coordinating with working teams. Constantly learn, have a clear pulse on innovation across the enterprise SaaS, AdTech, paid media, data science, customer data, and analytics communities. Required Skills Master’s or Ph.D. in a quantitative field such as statistics, economics, industrial engineering and operations research, applied math, or other relevant quantitative field. 8+ years of experience designing models for marketing optimization such as multi-channel attribution models, customer lifetime value models, propensity models, uplift models, etc. using statistical and machine learning techniques. 8+ years of experience using advanced statistical techniques for experiment design (A/B and multi-cell testing) and causal inference methods for understanding business impact. Must have multiple, robust examples of using these techniques to measure effectiveness of marketing efforts and to solve business problems on large-scale data sets. 8+ years of experience with one or more programming languages such as Python, R, PySpark, Java. Expert-level knowledge of SQL with strong data exploration and manipulation skills. Experience using cloud platforms such as GCP and AWS for model development and operationalization is preferred. Must have superb quantitative reasoning and interpretation skills with strong ability to provide analysis-driven business insight and recommendations. Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Creative problem-solver who simplifies problems to their core elements. B2B customer data experience a big plus. Advanced Salesforce product knowledge is also a plus. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Show more Show less

Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are part of small and medium buildings league, We are expanding our team in Gurugram and looking for a Principal Architect to enhance our Edge applications and drive the roadmap for next generations IOT gateways. Job Description: We are looking for an experienced Principal Architect - IoT Edge to lead the design and deployment of edge middleware for smart building environments. This role focuses on architecting robust, secure, and scalable IoT gateway-based systems that enable real-time monitoring, control, and optimization of micro-BMS, including HVAC, lighting, and energy. As a Principal Architect at Schneider Electric, you will play a crucial role in developing and implementing IoT solutions across our global infrastructure, with a primary focus on Edge software. This position requires a blend of strategic architectural design and practical hands-on ability to implement and manage, and optimize edge middleware solutions, ensuring efficient data processing for a large-scale edge gateways and devices (100s of thousands) deployed in the field. Some of the core services supported by IoT gateways aims at providing various services and features such as Secure firmware update Log management. Product configuration (identity, network connectivity, date/time…) Service/message bus (for intra and inter service communication) Controls logic to control and schedule downstream devices Device management, application management and connectivity to the “Cloud system” Edge intelligence – e.g. data buffering, computing metrics on edge Dockerised services Local Web Interface Connectivity protocols (MQTT, Zigbee, Wi-Fi, LoRaWAN, Modbus, BacNet …) Key Responsibilities: Provide architecture guidelines, identify technical solutions, and write technical requirements, answering to the functional requirement of the SMB BMS solution. Architect and develop scalable, high-performance Edge computing solutions for IoT applications. Work closely with POs and solution Architects of SMB- Building Activate platform to ensure proper landing of the middleware features and services Develop and optimize IoT data pipelines, integrating sensors, edge devices, and cloud-based platforms. Collaborate with cross-functional teams to define edge computing strategies, system architectures, and best practices. Work on device-to-cloud communication using MQTT(s), HTTP(s), WebSockets, or other messaging protocols. Ensure software is secure, reliable, and optimized for resource-constrained edge environments. Design and optimize Linux-based networking for edge devices, including network configuration, VPNs, firewalls, and traffic shaping. Implement and manage Linux process management, including systemd services, resource allocation, and performance tuning for IoT applications. Conduct code reviews, mentor junior developers, and provide technical leadership in edge software development. Implement edge analytics and AI/ML inference for predictive maintenance, energy optimization, and occupant comfort. Lead PoCs and pilot deployments in commercial, industrial, or mixed-use buildings. Requirements: Technical 10 – 12 years of overall experience in software engineering with a strong focus on IoT based firmware development Understanding of BACnet/Modbus protocols. Familiarity with cloud IoT platforms (AWS IoT, Azure IoT, Google Cloud IoT) and their integration with edge devices Strong knowledge of Linux networking, including TCP/IP, DNS, firewalls (iptables/nftables), VPNs, and network security. Experience in Linux process management, including systemd, resource limits (cgroups), and performance tuning. Good Understanding of IoT architectures, protocols (MQTT, HTTP/REST), and edge computing frameworks. Hands-on experience with Docker. Proficiency and Experience with Git or any other VCS. Excellent problem-solving skills and the ability to lead complex technical projects. Proficiency in edge programming (Python, GoLang, Rust, Java or C++) Knowledge of cybersecurity best practices for IOT environments. Good to have: Experience with digital twins, building energy modelling, or occupancy analytics. Expertise in Python, with experience in asynchronous programming, task processing frameworks, and Web frameworks Soft Skills: Excellent problem-solving abilities and strong communication skills. Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences. Comfortable working directly with both technical and non-technical audiences Good judgment, time management, and decision-making skills Strong teamwork and interpersonal skills; ability to communicate and thrive in a cross-functional environment Willingness to work outside documented job description. Has a “whatever is needed” attitude. Qualifications Preferred Qualifications: Bachelor's or Master's degree in computer science, Information Technology, or related field. Working experience on designing robust, scalable & maintainable IOT gateway applications Prior experience in building cloud connected Edge IoT solutions. Prior experience in the energy sector or industrial automation is advantageous. Primary Location : IN-Haryana-Gurgaon Schedule : Full-time Unposting Date : Ongoing

Senior Biostatistician Location: Bangalore, Homebased As a Senior Biostatistician you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence. What You Will Be Doing Supports design, analysis and interpretation, uses a wide range of statistical approaches and/or applicable software to explore options Authors analysis plans and prepares statistical inputs to key documents and presentation materials Contributes to the development of statistical strategy at a study-level, which may be shared with stakeholders Anticipates problems related to assigned work or areas of expertise and able to implement solutions, proactively seeking input from supervisor/manager You Are Having 5-8 years of experience in SAS and confidence in leading submission Having ability to perform Study Statistician role with minimal supervision Able to demonstrate strong statistical expertise with a good understanding of more complex design of experiments and inference methodologies (where applicable awareness / knowledge of Bayesian, Futility & Predictive Inference, Estimands, Missing Data etc.) Where required, have ability to actively participate in matrix team meetings What ICON Can Offer You Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our Benefits Examples Include Various annual leave entitlements A range of health insurance offerings to suit you and your family’s needs Competitive retirement planning offerings to maximise savings and plan with confidence for the years ahead Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others Visit our careers website to read more about the benefits of working at ICON: https://careers.iconplc.com/benefits At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below. https://careers.iconplc.com/reasonable-accommodations Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Show more Show less

Research Scientist: Snapshot The Machine Learning and Optimization (MLO) team at Google DeepMind India is driven by the mission of enabling ultra-efficient, adaptable, and performant large models for everyone . Our mission is realized through foundational research in machine learning, specifically focusing on advancements in next-generation machine learning architectures, large-scale optimization algorithms, reinforcement learning methodologies, and innovative sampling techniques. We apply our research advances to critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more! About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. In particular, our MLO team at GDM India, has deep expertise in machine learning fundamentals, large foundational models, reinforcement learning, generative modeling, and causal inference. Some of our breakthrough technologies include Matryoshka Representations and Matformers, Tandem Transformers, Treeformer, Causal Representation Learning . We have been at the forefront of reimagining Google’s latest foundational models from an efficiency and adaptability viewpoint, while also disseminating our findings through publications at top ML conferences/journals. The role Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI. Key Responsibilities Design, implement and evaluate models, agents and software prototypes of large foundational models. Deep dive into fundamentals of both the ML aspects of foundational models (like architectures, loss functions, data, evals) as well as their implementation on neural accelerators (efficiency during training, serving). Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing. Suggest and engage in team collaborations to meet ambitious research goals. Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate. Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity. About You In order to set you up for success as a Research Scientist at Google DeepMind India, we look for the following skills and experience: PhD in a technical field or equivalent practical experience. In addition, the following would be an advantage: PhD in Machine Learning, Computer Vision, Natural Language Processing or related areas A proven track record of publications and relevant experience in one or more areas such as large foundational models, ML+Systems, optimization, learning theory, computer vision, NLP etc. Proven experience with ML frameworks (e.g. JAX) and proven experience with training large models Proven experience working in industry, working on projects from proof-of-concept through to implementation, applying experimental ideas to applied problems A real passion for AI, Optimization, and Efficiency! Next steps Please fill out the required application form linked here and then continue on with the application on this page. Thank you! At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: r,kubernetes,next.js,docker,rag architectures,large language models (llms),gcp,embeddings,large language models,bert,javascript,django,machine learning (ml),cloud,tensorflow,machine learning,openai,artificial intelligence,natural language processing (nlp),vector databases,nltk,ai tools,langchain,fastapi,ml,typescript,react.js,java,deep learning,ai development,aws,flask,natural language processing,gpt,nlp tasks,hugging face,hugging face transformers,mlops tools,azure,generative ai,ai technologies,google cloud,node.js,python,nlp,spacy,mlops,ci/cd,pytorch,computer vision Show more Show less

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud. We’re transforming the software industry. We’re Flexera. With more than 50,000 customers across the world, we’re achieving that goal. But we know we can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com Job Summary: We are seeking a skilled and motivated Senior Data Engineer to join our Automation, AI/ML team. In this role, you will work on designing, building, and maintaining data pipelines and infrastructure to support AI/ML initiatives, while contributing to the automation of key processes. This position requires expertise in data engineering, cloud technologies, and database systems, with a strong emphasis on scalability, performance, and innovation. Key Responsibilities: Identify and automate manual processes to improve efficiency and reduce operational overhead. Design, develop, and optimize scalable data pipelines to integrate data from multiple sources, including Oracle and SQL Server databases. Collaborate with data scientists and AI/ML engineers to ensure efficient access to high-quality data for training and inference models. Implement automation solutions for data ingestion, processing, and integration using modern tools and frameworks. Monitor, troubleshoot, and enhance data workflows to ensure performance, reliability, and scalability. Apply advanced data transformation techniques, including ETL/ELT processes, to prepare data for AI/ML use cases. Develop solutions to optimize storage and compute costs while ensuring data security and compliance. Required Skills and Qualifications: Experience in identifying, streamlining, and automating repetitive or manual processes. Proven experience as a Data Engineer, working with large-scale database systems (e.g., Oracle, SQL Server) and cloud platforms (AWS, Azure, Google Cloud). Expertise in building and maintaining data pipelines using tools like Apache Airflow, Talend, or Azure Data Factory. Strong programming skills in Python, Scala, or Java for data processing and automation tasks. Experience with data warehousing technologies such as Snowflake, Redshift, or Azure Synapse. Proficiency in SQL for data extraction, transformation, and analysis. Familiarity with tools such as Databricks, MLflow, or H2O.ai for integrating data engineering with AI/ML workflows. Experience with DevOps practices and tools, such as Jenkins, GitLab CI/CD, Docker, and Kubernetes. Knowledge of AI/ML concepts and their integration into data workflows. Strong problem-solving skills and attention to detail. Preferred Qualifications: Knowledge of security best practices, including data encryption and access control. Familiarity with big data technologies like Hadoop, Spark, or Kafka. Exposure to Databricks for data engineering and advanced analytics workflows. Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all. We encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com. Show more Show less

Job Description We are looking for an exceptional Data Scientist with deep expertise in speech technologies, advanced NLP, and LLM fine-tuning to join our cutting-edge AI research team. In this pivotal role, you will be responsible for building and optimizing state-of-the-art machine learning pipelines that drive intelligent audio and language-based products. Your work will directly contribute to the development of next-generation AI solutions that are privacy-focused, high-performance, and built for scale. Key Responsibilities Develop and deploy real-time ASR pipelines, leveraging models like Whisper, wav2vec2, or custom speech models. Design and implement robust intent detection and entity extraction systems, utilizing transcribed speech, keyword spotting, and semantic pattern recognition. Fine-tune LLMs and transformer architectures (BERT, RoBERTa, etc.) for tasks including intent classification, entity recognition, and contextual comprehension. Optimize end-to-end pipelines for mobile and on-device inference, employing tools like TFLite, ONNX, quantization, and pruning to achieve low-latency performance. Collaborate closely with AI product teams and MLOps engineers to ensure seamless deployment, continuous iteration, and performance monitoring. Required Technical Skills Hands-on experience with ASR models (Whisper, wav2vec2, DeepSpeech, Kaldi, Silero), with a focus on fine-tuning for Indian languages and multilingual scenarios. Strong command of NLP techniques such as keyword spotting, sequence labeling, masked token prediction, and rule-based classification. Proven track record in LLM and transformer fine-tuning for NER, intent detection, and domain-specific adaptation. Expertise in speech metadata extraction, feature engineering, and signal enrichment. Proficiency in model optimization methods like quantization-aware training (QAT), pruning, and efficient runtime deployment for edge devices. Excellent Python skills with proficiency in PyTorch or TensorFlow, along with solid experience in NumPy, pandas, and real-time data processing frameworks. Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or a related technical field. Academic or industry background in speech processing, ASR, telecom analytics, or applied NLP is highly desirable. Portfolio showcasing real-world speech/NLP projects, open-source contributions, or published research will be a strong advantage. Experience 3 to 6+ years of applied experience in speech AI, NLP for intent detection, or machine learning model development. Proven success in building, deploying, and optimizing ML models for real-time, low-latency environments. Contributions to leading open-source projects like openai/whisper, mozilla/DeepSpeech, or facebook/wav2vec2 are highly valued. (ref:hirist.tech) Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... Join Verizon as we continue to grow our industry-leading network to improve the ways people, businesses, and things connect. We are looking for an experienced, talented and motivated AI&ML Engineer to lead AI Industrialization for Verizon. You will also serve as a subject matter expert regarding the latest industry knowledge to improve the Home Product and solutions and/or processes related to Machine Learning, Deep Learning, Responsible AI, Gen AI, Natural Language Processing, Computer Vision and other AI practices. Deploying machine learning models - On Prem, Cloud and Kubernetes environments Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives. Creating and implementing data and ML pipelines for model inference, both in real-time and in batches. Architecting, designing, and implementing large-scale AI/ML systems in a production environment. Monitor the performance of data pipelines and make improvements as necessary What We’re Looking For... You have strong analytical skills and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end-to-end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions. You'll Need To Have Bachelor's degree with four or more years of relevant work experience. Expertise in advanced analytics/ predictive modelling in a consulting role. Experience with all phases of end-to-end Analytics project Hands-on programming expertise in Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) , R (for specific data analysis tasks) Knowledge of Machine Learning Algorithms - Linear Regression , Logistic Regression ,Decision Trees ,Random Forests ,Support Vector Machines (SVMs) ,Neural Networks (Deep Learning) ,Bayesian Networks Data Engineering - Data Cleaning and Preprocessing ,Feature Engineering ,Data Transformation , Data Visualization Cloud Platforms - AWS SageMaker ,Azure Machine Learning ,Cloud AI Platform Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Knowledge on Home domain with key areas like Smart Home, Digital security and wellbeing Experience with stream-processing systems: Spark-Streaming, Storm etc. #TPDNONCDIOREF Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: computer vision,next.js,r,mlops,artificial intelligence,nltk,flask,aws,react.js,bert,hugging face,embeddings,google cloud,machine learning,machine learning (ml),natural language processing,hugging face transformers,natural language processing (nlp),ci/cd,nlp,django,python,large language models,pytorch,fastapi,large language models (llms),openai,ai technologies,typescript,ai tools,azure,kubernetes,gcp,llama,mlops tools,gpt,vector databases,javascript,rag architectures,nlp tasks,langchain,openai apis,spacy,docker,ai development,tensorflow,ml,node.js,generative ai,java,cloud,deep learning Show more Show less

Woxsen University is a premier institution at the forefront of technology and business education in India. Strategically located in Hyderabad's innovation corridor, we bridge academic excellence with industry relevance through cutting-edge programs and research initiatives. Our research-intensive faculty drive intellectual leadership that shapes academic discourse and advances the frontiers of computational sciences, artificial intelligence, and machine learning. Available Positions We are currently seeking research-focused professors specializing in the following disciplines: Computer Science & Engineering Artificial Intelligence Machine Learning Data Science Computational Systems Position Overview We seek accomplished research scholars with exceptional capabilities in investigating computational systems, algorithmic approaches, and intelligent technologies. The ideal candidates will demonstrate research excellence through publications in top-tier journals and conferences, and possess the ability to develop innovative research programs that advance the theoretical foundations and practical applications of computational sciences. These positions require individuals who can build significant research portfolios, mentor junior scholars, and lead interdisciplinary initiatives examining the mathematical, computational, and engineering dimensions of intelligent systems. Key Responsibilities Research & Scholarly Impact (70%) Maintain a rigorous research agenda resulting in publications in premier conferences and journals (NeurIPS, ICML, ICLR, CVPR, ICCV, ACL, AAAI, IJCAI, KDD, JMLR, TPAMI, TNNLS, etc.) Secure competitive research grants from national and international funding bodies (DST, SERB, MeitY, NSF, EU Horizon, industry research labs) Develop innovative algorithmic approaches, computational models, and system architectures Lead a research group focused on specific areas of computational sciences and AI/ML Design and implement cross-disciplinary research initiatives bridging computational approaches with domain applications Contribute to global research networks and collaborative projects with international scholars Apply the GTRMP framework with primary emphasis on research excellence and theoretical advancement Present research at prestigious academic conferences and research symposia Serve on program committees and editorial boards of leading conferences and journals Teaching & Student Development (20%) Teach advanced courses in computational sciences, AI/ML foundations, and specialized topics Supervise doctoral students and mentor early-career researchers in computational methods Develop research-informed curriculum for graduate programs in CS/AI/ML Create opportunities for student involvement in high-quality research projects Design specialized research seminars and workshops for doctoral students Foster interdisciplinary thinking and methodological rigor in student research Guide students in preparing submissions for top-tier conferences and journals Institutional Development & External Relations (10%) Contribute to departmental and university research governance Participate in faculty recruitment and development initiatives Support research accreditation and quality enhancement efforts Collaborate with colleagues on interdisciplinary computational research initiatives Enhance Woxsen's reputation as a center of excellence for computational sciences and AI research Develop relationships with external research institutions, industry research labs, and funding agencies Contribute to open-source software development and research infrastructure when appropriate Qualifications Essential PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related discipline from a globally recognized research institution Outstanding research profile with multiple publications in top-tier conferences and journals in computational sciences, AI, and ML Demonstrated success in securing competitive research grants Strong theoretical foundations and methodological expertise in computational and algorithmic approaches Evidence of research impact through citations, h-index, and scholarly recognition Experience in doctoral supervision and mentoring early-career researchers Excellent communication skills with ability to disseminate complex computational research to diverse audiences Active participation in international research networks and scholarly communities Desirable H-index of 20+ with a strong citation record Track record of publications at premier venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.) Experience leading funded research projects and managing research teams Contributions to open-source software, datasets, or research infrastructure Track record of successful research collaborations across institutions and disciplines Experience organizing workshops at major conferences or serving as area chair Demonstrated ability to bridge theoretical advances with computational implementations Experience with innovative methodological approaches and interdisciplinary applications Editorial or program committee experience with respected conferences and journals Record of successful PhD placement at research-intensive institutions Industry research experience at leading AI/ML labs (optional) Discipline-Specific Research Focus Areas Computer Science & Engineering Algorithm design and computational complexity High-performance computing and distributed systems Computer architecture and hardware-software co-design Programming languages and software engineering Security, privacy, and cryptographic systems Human-computer interaction and user experience Systems for AI/ML and computational infrastructure Artificial Intelligence Knowledge representation and reasoning Planning and decision-making under uncertainty Multi-agent systems and game-theoretic approaches AI for social good and ethical AI development Cognitive architectures and artificial general intelligence Human-AI collaboration and interactive AI systems Verification, validation, and safety of AI systems Machine Learning Deep learning architectures and optimization Reinforcement learning and sequential decision making Probabilistic models and Bayesian inference Unsupervised, self-supervised, and representation learning Transfer learning, meta-learning, and few-shot learning Fairness, accountability, transparency, and ethics in ML Theoretical foundations of machine learning Data Science Large-scale data processing and analytics Causal inference and experimental design Time series analysis and forecasting Network science and graph analytics Natural language processing and text mining Computer vision and multimedia analytics Scientific data analysis and computational statistics Computational Systems Embedded systems and IoT architectures Autonomous systems and robotics Cyber-physical systems and control theory Quantum computing and quantum information systems Computational biology and bioinformatics Computational sustainability and smart infrastructure Edge computing and mobile systems Show more Show less

IS Machine Learning Engineer At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story. This position reports to IS Global CX Analytics Manager Your role and responsibilities In this role, you will be responsible for the end-to-end development and deployment of AI-powered applications & includes designing and building AI interfaces, services, constructing AI-enabled infrastructure, and evaluating AI systems. Machine Learning Engineer will work collaboratively with cross-functional teams to incorporate AI capabilities into a wide range of products and services. The work model for the role is This role is contributing to the IS Services . You will be mainly accountable for: Running E2E development cycle of AI solutions based on the business requirements Following best software development practices to ensure high quality product and adherence to design objectives Evangelizing ABB and internal team on potential opportunities in AI Collaborate closely with data scientists, engineers, service owners to build products end-to-end on key initiatives Qualifications for the role Master's Degree or PhD in Computer Science, Computational or Applied Mathematics, or related areas with Artificial Intelligence specialty Strong communication skills with proficiency in English 5+ years of professional experience in AI/ML environments Track record of successful enterprise-level AI deployments: AI Application Development and Deployment/Scaling. Prompt engineering, Context construction. Nice to have: - - Inference optimization, Dataset engineering, Compute management, Data management Strong experience with AI infrastructure, including cloud platforms (Azure (must have), AWS/GCP optional) and containerization (Docker, Kubernetes), Azure AI Studio/Foundry/OpenAI, Hugging Face, .NET Framework, API Management & Azure infrastructure Strategic thinking and ability to translate business requirements into technical solutions Experience with SQL, MS Fabric, Databricks Experience in AI evaluation/responsible AI practices More about us Our mission in ABB IS (Information Systems) is to harness the power of information technology to deliver valuable, reliable, and competitive IS services for ABB. If you have a strong technical skills, analytical mind, and the drive to help us stay ahead of the competition, you are the one we are looking for. We value people from different backgrounds. Apply today for your next career step within ABB and visit www.abb.com to learn about the impact of our solutions across the globe. #MyABBStory Show more Show less

Key Responsibilities Work closely with clients to understand their business requirements and design data solutions that meet their needs. Develop and implement end-to-end data solutions that include data ingestion, data storage, data processing, and data visualization components. Design and implement data architectures that are scalable, secure, and compliant with industry standards. Work with data engineers, data analysts, and other stakeholders to ensure the successful delivery of data solutions. Participate in presales activities, including solution design, proposal creation, and client presentations. Act as a technical liaison between the client and our internal teams, providing technical guidance and expertise throughout the project lifecycle. Stay up-to-date with industry trends and emerging technologies related to data architecture and engineering. Develop and maintain relationships with clients to ensure their ongoing satisfaction and identify opportunities for additional business. Understands Entire End to End AI Life Cycle starting from Ingestion to Inferencing along with Operations. Exposure to Gen AI Emerging technologies. Exposure to Kubernetes Platform and hands on deploying and containorizing Applications. Good Knowledge on Data Governance, data warehousing and data modelling. Requirements Bachelor's or Master's degree in Computer Science, Data Science, or related field. 10+ years of experience as a Data Solution Architect, with a proven track record of designing and implementing end-to-end data solutions. Strong technical background in data architecture, data engineering, and data management. Extensive experience on working with any of the hadoop flavours preferably Data Fabric. Experience with presales activities such as solution design, proposal creation, and client presentations. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and related technologies such as data warehousing, data lakes, and data streaming. Experience with Kubernetes and Gen AI tools and tech stack. Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. Strong problem-solving skills, with the ability to analyze complex data systems and identify areas for improvement. Strong project management skills, with the ability to manage multiple projects simultaneously and prioritize tasks effectively. Tools and Tech Stack Hadoop Ecosystem Data Architecture and Engineering: Preferred: Cloudera Data Platform (CDP) or Data Fabric. Tools: HDFS, Hive, Spark, HBase, Oozie. Data Warehousing Cloud-based: Azure Synapse, Amazon Redshift, Google Big Query, Snowflake, Azure Synapsis and Azure Data Bricks On-premises: , Teradata, Vertica Data Integration And ETL Tools Apache NiFi, Talend, Informatica, Azure Data Factory, Glue. Cloud Platforms Azure (preferred for its Data Services and Synapse integration), AWS, or GCP. Cloud-native Components Data Lakes: Azure Data Lake Storage, AWS S3, or Google Cloud Storage. Data Streaming: Apache Kafka, Azure Event Hubs, AWS Kinesis. HPE Platforms Data Fabric, AI Essentials or Unified Analytics, HPE MLDM and HPE MLDE AI And Gen AI Technologies AI Lifecycle Management: MLOps: MLflow, KubeFlow, Azure ML, or SageMaker, Ray Inference tools: TensorFlow Serving, K Serve, Seldon Generative AI Frameworks: Hugging Face Transformers, LangChain. Tools: OpenAI API (e.g., GPT-4) Kubernetes Orchestration and Deployment: Platforms: Azure Kubernetes Service (AKS)or Amazon EKS or Google Kubernetes Engine (GKE) or Open Source K8 Tools: Helm CI/CD For Data Pipelines And Applications Jenkins, GitHub Actions, GitLab CI, or Azure DevOps Show more Show less

Job Title: HPC Network Engineer Location: Mumbai Experience: Minimum 5 years of relevant network experience Job Overview: We are seeking a highly skilled and experienced HPC Network Engineer to join our team. The ideal candidate will have a strong background in setting up and managing high-performance computing (HPC) networks with cutting-edge technologies such as 400G and 800G network connectivity. This role involves designing, implementing, and troubleshooting complex network architectures tailored to HPC and GPU-based systems. The engineer will also play a critical role in enabling efficient GPU interconnects and scaling AI and HPC workloads. Key Responsibilities: HPC Network Deployment : Design, deploy, and maintain HPC networks with 400G/800G connectivity. Optimize network performance for large-scale computing environments. Advanced Networking Expertise : Deep understanding and hands-on experience with RoCE (RDMA over Converged Ethernet) and Infiniband technologies. Collaborate with cross-functional teams to architect and implement robust HPC networking solutions. Architectural Design and Communication : Develop and present complex network architectures to technical and non-technical stakeholders. Translate customer requirements into scalable and efficient network designs. GPU Communication Frameworks : Expertise in NVLink and NVSwitch for high-speed GPU-to-GPU communication. Optimize interconnects for distributed training and inference workloads. Technology Expertise : Hands-on experience with switches and networking equipment from Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell . Familiarity with NVIDIA, AMD, and Intel HPC architectures and their network integration requirements. Storage Networking for HPC and AI : Integrate GPUDirect Storage and NVMe-oF for efficient data movement between storage and GPUs. Optimize data pathways for high-speed storage access in HPC workloads. Problem Solving and Troubleshooting : Monitor, analyze, and troubleshoot network performance issues. Implement monitoring tools to ensure high availability and reliability of the HPC network. Customer-Centric Solutions : Engage with customers to understand their requirements and deliver tailored solutions on the fly. Provide ongoing support and documentation for implemented solutions. Comprehensive Network Knowledge : Expertise in end-to-end network monitoring, analysis, troubleshooting, and implementation. Stay updated on industry trends, standards, and best practices for HPC networking. AI and HPC Workload Integration : Support hybrid workloads combining AI and traditional HPC tasks. Scale large language models and scientific simulations across GPU clusters with minimal latency. Required Skills and Qualifications: Minimum 5 years of hands-on experience in core network engineering. Proven expertise in configuring and managing 400G or 800G network environments. Strong knowledge of RoCE and Infiniband protocols. Hands-on experience with NVLink and NVSwitch in GPU-based environments. Familiarity with networking equipment and technologies from vendors such as Broadcom, Arista, Mellanox, Juniper, Cisco, SONiC, or Dell . Experience working with NVIDIA, AMD, or Intel HPC and GPU architectures . Ability to conceptualize and explain complex network designs to diverse audiences. Strong analytical and troubleshooting skills in high-performance environments. Excellent communication and customer engagement skills to address requirements and provide solutions effectively. Preferred Qualifications: Industry certifications such as CCNP, CCIE, or equivalent. Experience in scripting and automation for network operations. Exposure to large-scale HPC deployments in data center environments. Knowledge of software-defined networking (SDN) and virtualized networking environments. Familiarity with AI-specific frameworks like TensorFlow , PyTorch , or Horovod in distributed setups. Why Join Us? Work on cutting-edge HPC and GPU-based technologies. Collaborate with industry leaders in AI and cloud infrastructure. Competitive compensation and growth opportunities. Opportunity to work in a dynamic and fast-paced environment. Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Us At Valiance, we are building next-generation AI solutions to solve high-impact business problems. As part of our AI/ML team, you’ll work on deploying cutting-edge Gen AI models, optimizing performance, and enabling scalable experimentation. Role Overview We are looking for a skilled MLOps Engineer with hands-on experience in deploying open-source Generative AI models on cloud and on-prem environments. The ideal candidate should be adept at setting up scalable infrastructure, observability, and experimentation stacks while optimizing for performance and cost. Responsibilities Deploy and manage open-source Gen AI models (e.g., LLaMA, Mistral, Stable Diffusion) on cloud and on-prem environments Set up and maintain observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) for monitoring Gen AI model health and performance Optimize infrastructure for latency, throughput, and cost-efficiency in GPU/CPU-intensive environments Build and manage an experimentation stack to enable rapid testing of various open-source Gen AI models Work closely with ML scientists and data teams to streamline model deployment pipelines Maintain CI/CD workflows and automate key stages of the model lifecycle Leverage NVIDIA tools (Triton Inference Server, TensorRT, CUDA, etc.) to improve model serving performance (preferred) Required Skills & Qualifications Strong experience in deploying ML/Gen AI models using Kubernetes, Docker, and CI/CD tools Proficiency in Python, Bash scripting, and infrastructure-as-code tools (e.g., Terraform, Helm) Experience with ML observability and monitoring stacks Familiarity with cloud services (GCP, AWS, or Azure) and/or on-prem environments Exposure to model tracking tools like MLflow, Weights & Biases, or similar Bachelor’s/Master’s in Computer Science, Engineering, or related field Nice to Have Hands-on experience with NVIDIA ecosystem (Triton, CUDA, TensorRT, NGC) Familiarity with serving frameworks like vLLM, DeepSpeed, or Hugging Face Transformers Show more Show less

Experience : 3.00 + years Salary : USD 30000-48000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: EOR Partner) (*Note: This is a requirement for one of Uplers' client - InsightNext) What do you need for this opportunity? Must have skills required: Algorithm, industry-specific AI, rapid prototyping, start-up, statistical modelling, AI systems, AI/ML, CI/CD, LLM, Ml frameworks, Cloud Server (Google / AWS), Python InsightNext is Looking for: Role Description This is a full-time remote role for a Senior AI/ML Engineer . The Senior AI/ML Engineer will spearhead the design, development, and deployment of advanced machine learning models, including Large Language Models (LLMs), Agentic AI Frameworks, and multimodal AI systems , tailored to diverse client needs across industries such as finance, healthcare, retail, and technology Responsibilities include client consultations, data preprocessing, model customization, performance optimization, and seamless integration of AI solutions into client ecosystems . The role requires staying ahead of AI/ML innovations, delivering high-impact consulting engagements, and producing comprehensive technical documentation to ensure client success. Key Responsibilities Collaborate with clients to assess business challenges and design bespoke AI solutions leveraging LLMs, agentic workflows, and multimodal models for applications like intelligent automation, predictive analytics, and natural language processing. Develop and fine-tune scalable AI/ML pipelines, utilizing distributed training, model compression, and low-latency inference to meet client-specific performance requirements. Perform advanced data preprocessing, handling diverse datasets (e.g., unstructured, multimodal, or streaming data) to ensure model robustness. Evaluate and benchmark model performance using metrics like BLEU, ROUGE, perplexity, or client-defined KPIs, ensuring alignment with business objectives. Stay at the forefront of AI/ML advancements (e.g., transformer architectures, neurosymbolic AI, retrieval augmented generation) to deliver cutting-edge solutions. Deploy AI models into client environments (e.g., cloud platforms, edge devices, or hybrid systems) using APIs and MLOps best practices. Provide thought leadership through client workshops, whitepapers, and presentations, showcasing expertise in AI trends and innovations. Mentor junior engineers and contribute to internal knowledge-sharing initiatives to elevate the firm’s AI consulting capabilities Qualifications- Technical Skills: Expertise in AI systems, ML frameworks, and Python Experience with cloud platforms (e.g. GCP, Azure and Azure) and development tools Strong programming skills in Python and modern software development practices such as CI/CD version controlling with Git Consulting Abilities: Client communication and solution presentation Strong project management track record Ability to thrive in fast-paced, remote, and cross-functional teams using agile methodologies Core Knowledge: Advanced knowledge of computer science, algorithms, and statistical modeling for probabilistic reasoning and uncertainty quantification People Skills: Excellent communication and teamwork abilities Education & Experience: Bachelors/Master's/Ph.D. in relevant field 3+ years AI/ML experience (2+ with clients) Proven industry solutions delivery Preferred Qualification: Industry-specific AI experience Rapid prototyping capabilities How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Birlasoft: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. About the Job- We are seeking a skilled Generative AI Developer to design, develop, and optimize AI-powered solutions using deep learning and natural language processing (NLP). You will work on cutting-edge models to create innovative applications and enhance AI capabilities across various domains. Job Title – Generative AI Developer Location - Pune, Mumbai, Noida, Chennai, Bangalore, Hyderabad Educational Background – Any Graduate Key Responsibilities – Develop, fine-tune, and deploy Generative AI models such as GPT, Stable Diffusion, or other LLM-based architectures. Design and implement machine learning pipelines for text, image, and audio generation tasks. Optimize model performance, training efficiency, and inference speed. Conduct research on the latest advancements in AI to enhance model capabilities. Collaborate with data scientists and software engineers to integrate AI models into production environments. Ensure ethical AI practices and compliance with data privacy regulations . 6. Skills Required – Python, Generative AI models, LLM Training, NLP Show more Show less

Experience : 5.00 + years Salary : INR 5000000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Precanto) (*Note: This is a requirement for one of Uplers' client - A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams.) What do you need for this opportunity? Must have skills required: async workflows, MLOps, Ray Tune, Data Engineering, MLFlow, Supervised Learning, Time-Series Forecasting, Docker, Machine Learning, NLP, Python, SQL A fast-growing, VC-backed B2B SaaS platform revolutionizing financial planning and analysis for modern finance teams. is Looking for: We are a fast-moving startup building AI-driven solutions to the financial planning workflow. We’re looking for a versatile Machine Learning Engineer to join our team and take ownership of building, deploying, and scaling intelligent systems that power our core product. Job Description- Full-time Team: Data & ML Engineering We’re looking for 5+ years of experience as a Machine Learning or Data Engineer (startup experience is a plus) What You Will Do- Build and optimize machine learning models — from regression to time-series forecasting Work with data pipelines and orchestrate training/inference jobs using Ray, Airflow, and Docker Train, tune, and evaluate models using tools like Ray Tune, MLflow, and scikit-learn Design and deploy LLM-powered features and workflows Collaborate closely with product managers to turn ideas into experiments and production-ready solutions Partner with Software and DevOps engineers to build robust ML pipelines and integrate them with the broader platform Basic Skills Proven ability to work creatively and analytically in a problem-solving environment Excellent communication (written and oral) and interpersonal skills Strong understanding of supervised learning and time-series modeling Experience deploying ML models and building automated training/inference pipelines Ability to work cross-functionally in a collaborative and fast-paced environment Comfortable wearing many hats and owning projects end-to-end Write clean, tested, and scalable Python and SQL code Leverage async workflows and cloud-native infrastructure (S3, Docker, etc.) for high-throughput data processing. Advanced Skills Familiarity with MLOps best practices Prior experience with LLM-based features or production-level NLP Experience with LLMs, vector stores, or prompt engineering Contributions to open-source ML or data tools TECH STACK Languages: Python, SQL Frameworks & Tools: scikit-learn, Prophet, pyts, MLflow, Ray, Ray Tune, Jupyter Infra: Docker, Airflow, S3, asyncio, Pydantic How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

About Anyscale At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About The Role Ray aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About The Ray Core Team The Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A Snapshot Of Projects You Can Work On Optimizing performance of large-scale workloads on Ray Stability and stress testing infrastructure Improving fault tolerance (HA) As Part Of This Role, You Will Develop high quality open source software to simplify distributed programming (Ray) Identify, implement, and evaluate architectural improvements to Ray core Improve the testing process for Ray to make releases as smooth as possible Communicate your work to a broader audience through talks, tutorials, and blog posts We'd Love To Hear From You If Have At least 2 year of relevant work experience Solid background in algorithms, data structures, system design Experience in building scalable and fault-tolerant distributed systems Knowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferred Knowledge of GPU programming is preferred Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish Show more Show less

Key Responsibilities: Development and training of foundational models across modalities End to end lifecycle management of foundational model development from data curation to model deployment by collaborating with the core team members Conduct research to advance model accuracy and efficiency. Implement state-of-the-art AI techniques in Text/Speech and language processing. Collaborate with cross-functional teams to build robust AI stacks and integrate them seamlessly into production pipelines. Develop pipelines for debugging, CI/CD and observability of the development process. Demonstrated ability to lead projects and provide innovative solutions. Should document technical processes, model architectures, and experimental results., maintain clear and organized code repositories. Education: Bachelor’s or Master’s in any related field with 2 to 5 years of experience in industry in applied AI/ML. Minimum Requirements: Proficiency in Python programming and familiarity with 3-4 from the list of tools specified below: Foundational model libraries and frameworks (TensorFlow, PyTorch, HF Transformers, NeMo, etc) Experience with distributed training (SLURM, Ray, Pytorch DDP, Deepspeed, NCCL, etc) Inference servers (vLLM) Version control systems and observability (Git, DVC, MLFlow, W&B, KubeFlow) Data analysis and curation tools (Dask, Milvus, Apache Spark, Numpy) Text-to-Speech tools (Whisper, Voicebox, VALL-E (X), HuBERT/Unitspeech) LLMOPs Tools, Dockers etc Hands on experience with AI application libraries and frameworks (DSPy, Langgraph, langchain, llamaindex etc.) Show more Show less

Summary Understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. High agility to be able to work across various business domains (commercial, NTO, GDD, NIBR, NBS) or divisions (Onco, GenMeds, Sandoz). Able to use business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. No direct team management. About The Role Data Scientist I Location – Hyderabad Hybrid Major Accountabilities Work on a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recom-mender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Develop automation for repeatedly refreshing analysis and generating insights Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems and deliver successfully on high visibility strategic initiatives Understand life science data sources including sales, contracting, promotions, social me-dia, patient claims and Real-World Evidence. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions Articulate solutions/recommendations to business users. Works with senior data science team member to present analytical content concisely and effectively Manage own tasks and work with allied team members; plans proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and independently drives issues to resolution, minimizes surprise escalations Independently identifies research articles and reproduce/apply methodology to Novartis business problems Has high learning agility and diligently follows updates in industry and area of work. Essential Requirements: Quality of insights generated, and solutions provided, with quantified business impact / ROI Effective communication with Country/Regional/Global stakeholders Executes agreed targets for self Define and execute development plans for potential Subject Matter Experts Find creative ways to build team capabilities and play a direct role in driving a culture of innovation Values and Behaviors: in line with leadership standards of Novartis Education: PhD or Masters (or bachelor’s from a top Tier University) in a quantitative discipline (e.g. Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, etc.)Experience: 7+ years of relevant experience in Data Science. In case of PhD, 4+ years post qualification experience. Experience in commercial pharma would be a bonus. Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and un-structured data, Recommender Systems (content and collaborative filtering), etc. Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be an added advantage. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You’ll Do Design, develop and deploy agent-based AI systems using LLMs Build and scale Retrieval-Augmented Generation pipelines for real-time and offline inference. Develop and optimize training workflows for fine-tuning and adapting models to domain-specific tasks. Collaborate with cross-functional teams to integrate knowledge base into agent frameworks. Drive best practices in AI Engineering, model lifecycle management, and production deployment on Google Cloud (GCP) Implement version control strategies using Git, manage code repositories and ensure best practices in code management. Develop, manage CI/CD pipelines using Jenkins or other relevant tools to streamline deployment and updates. Monitor, evaluate, and improve model performance post- deployment on Google Cloud. Communicate technical findings and insights to non-technical stakeholders. Participate in technical discussions and contribute to strategic planning. What Experience You Need Master's / Bachelors in Computer Science, Artificial Intelligence, Machine Learning, or related field. 5+ years of experience in AI/ML engineering, with a strong focus on LLM-based applications. At least 10+ years of experience in IT overall. Proven experience in building agent-based applications using Gemini, OpenAI or similar models. Deep understanding of RAG systems, vector databases, and knowledge retrieval strategies. Hands-on experience with LangChain and LangGraph frameworks. Solid background in model training, fine-tuning, evaluation and deployment. Strong coding skills in Python and experience with modern MLOps practices. What Could Set You Apart Familiarity with frontend integration of AI agents (Eg. using Angular, Mesop or similar frameworks). Experience with Google Cloud services like BigQuery, Vertex AI, Agent Builder. Exposure to Angular framework We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

General Information Req # WD00082748 Career area: Artificial Intelligence Country/Region: India State: Karnataka City: BANGALORE Date: Monday, May 19, 2025 Working time: Full-time Additional Locations : India - Karnātaka - Bangalore India - Karnātaka - BANGALORE Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements Key Responsibilities : Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment. Configure, install, and validate AI systems using key platforms, including VMware ESXi and vSphere for server virtualization, Linux (Ubuntu/RHEL) and Windows Server for operating system integration, Docker and Kubernetes for containerization and orchestration of AI workloads. Conduct comprehensive performance benchmarking and AI inferencing tests to validate system performance in production. Optimize deployed AI models for accuracy, performance, and scalability to ensure they meet production-level requirements and customer expectations. Serve as the primary technical lead/SME for the AI POC deployment in enterprise environments, focusing on AI solutions powered by Nvidia GPUs. Work hands-on with Nvidia AI Enterprise and GPU-accelerated workloads, ensuring efficient deployment and model performance using frameworks such as PyTorch and TensorFlow. Lead technical optimizations aimed at resource efficiency, ensuring that models are deployed effectively within the customer’s infrastructure. Ensure the readiness of customer environments to handle, maintain, and scale AI solutions post-deployment. take ownership of AI project deployments, overseeing all phases from planning to final deployment, ensuring that timelines and deliverables are met. Collaborate with stakeholders, including cross-functional teams (e.g., Lenovo AI Application, solution architects), customers, and internal resources to coordinate deployments and deliver results on schedule. Implement risk management strategies and develop contingency plans to mitigate potential issues such as hardware failures, network bottlenecks, and software incompatibilities. Maintain ongoing, transparent communication with all relevant stakeholders, providing updates on project status and addressing any issues or changes in scope. Experience : Overall experience 7-10 years Relevant experience of 2-4 years in deploying AI/ML models/ AI solutions using Nvidia GPUs in enterprise production environments. Demonstrated success in leading and managing complex AI infrastructure projects, including PoC transitions to production at scale. Technical Expertise: Experience in the area of Retrieval Augmented Generation (RAG), NVIDIA AI Enterprise, NVIDIA Inference Microservices (NIMs), Model Management, Kubernetes Extensive experience with Nvidia AI Enterprise, GPU-accelerated workloads, and AI/ML frameworks such as PyTorch and TensorFlow. Proficient in deploying AI solutions across enterprise platforms, including VMware ESXi, Docker, Kubernetes, and Linux (Ubuntu/RHEL) and Windows Server environments. MLOps proficiency with hands-on experience using tools such as Kubeflow, MLflow, or AWS SageMaker for managing the AI model lifecycle in production. Strong understanding of virtualization and containerization technologies to ensure robust and scalable deployments. Additional Locations : India - Karnātaka - Bangalore India - Karnātaka - BANGALORE India India - Karnātaka * India - Karnātaka - Bangalore , * India - Karnātaka - BANGALORE NOTICE FOR PUBLIC At Lenovo, we follow strict policies and legal compliance for our recruitment process, which includes role alignment, employment terms discussion, final selection and offer approval, and recording transactions in our internal system. Interviews may be conducted via audio, video, or in-person depending on the role, and you will always meet with an official Lenovo representative. Please beware of fraudulent recruiters posing as Lenovo representatives. They may request cash deposits or personal information. Always apply through official Lenovo channels and never share sensitive information. Lenovo does not solicit money or sensitive information from applicants and will not request payments for training or equipment. Kindly verify job offers through the official Lenovo careers page or contact IndiaTA@lenovo.com. Stay informed and cautious to protect yourself from recruitment fraud. Report any suspicious activity to local authorities.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About Lilly: At Lilly, we unite caring with discovery to make life better for people worldwide. We are one of the Top 10 most valued companies of the world, and global healthcare leader headquartered in Indianapolis, Indiana. Our 44,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe. We have pioneered the development of several significant drugs and treatments over the years – and strong pipeline including being the first to mass produce insulin, penicillin, tuberculosis (MDR-TB) and polio vaccines . At Lilly, our research and product-oriented mindset and focus on Accelerate, Reach and Scale using new-gen technologies helps us redefine what is possible through technology in pharma. Impact driven growth combined with a commitment to make a real difference in lives makes Lilly the place of choice for the best talent to come together and be at the forefront of innovation and acceleration . Join us to make significant difference in the well-being of people worldwide. Job Title: Data Science Job Level: Principal Scientist I/II - Data - Advanced Analytics - LCCI Experience Level: 7 to 10 Years Qualification and Eligibility criteria: B.Tech./Masters/PhD. in Computer Vision related field Location : India – Bengaluru Purpose of the Role: The Data Scientist collaborates directly with business stakeholders to design and deploy state-of-the-art machine learning, deep learning, optimisation, and computer vision algorithms. These solutions address complex challenges across diverse domains, including manufacturing vision-based inspections, medical imaging, robotics vision, and finance. This role requires a proactive approach to developing and deploying algorithms in suitable environments to achieve impactful results. Key Responsibilities: 1. Apply traditional and advanced computer vision algorithms to solve complex challenges. 2. Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust and scalable outcomes. 3. Partner with cross-functional teams to solve problems in manufacturing, medical imaging, robotics vision, finance, etc. 4. Configure and integrate imaging systems, including cameras and sensors, for diverse operational settings such as labs, manufacturing floors, and robotics systems. 5. Build and optimize models for various scenarios, including real-time inference, batch processing, and edge computing. 6. Lead the end-to-end lifecycle of model development, deployment, and performance monitoring across different environments, including labs, manufacturing floors, and edge devices. 7. Leverage machine learning, optimisation, and deep learning techniques to enhance manufacturing line capacity and reduce downtime. 8. Utilize CI/CD workflows, version control systems (e.g., Git), and Docker to ensure reproducible and efficient research processes. 9. Leverage expertise in image annotation tools and image registration methods for domain-specific challenges. 10. Mentor team members and foster collaboration within cross-functional teams to drive innovation and solve technical problems Essential Tech knowledge: Core Software Development and Programming 1. Advanced proficiency in Python; experience with C++ is a plus. Familiarity with scalable software development practices and integration of hardware systems into software solutions. Core Computer Vision Expertise 2. Proficiency in traditional algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, and segmentation). 3. Experience with image processing libraries such as OpenCV, PIL, and scikit-image. 4. Knowledge of 3D point cloud processing, essential for LiDAR and object reconstruction tasks. Deep Learning and Machine Learning 5. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras. 6. Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM. 7. Familiarity with optimisation techniques, including model quantisation, pruning, and deploying real-time inference on edge devices. Data Acquisition and Image Handling 8. Knowledge of various imaging modalities (RGB, thermal, histology, and microscopic) acquired from domains like manufacturing, medical imaging, finance, and robotics. 9. Familiarity with specialised medical imaging libraries (e.g., MONAI, ITK/Simple ITK) is preferred. Toolsets and Domain-Specific Knowledge 10. Experience with image annotation tools and image registration methods. Familiarity with tools for edge deployments (e.g., NVIDIA Jetson). Essential Behavioural Skills: 1. Strong communication, leadership, and critical thinking abilities, coupled with effective decision-making skills. 2. Exceptional interpersonal skills, with a talent for building professional networks and collaborating within globally distributed teams. 3. A commitment to continuous learning, shared knowledge, and the adoption of industry best practices. 4. Excellent self-management and adaptability to thrive in ambiguous situations. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly