234 Pytorch Jobs in Uttar Pradesh - Page 9

Description Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements. Requirements We are looking for an experienced AI/ML Architect to lead the design and implementation of scalable, production-grade machine learning solutions. This role requires a strong background in data science, AI/ML engineering, cloud infrastructure, and solution architecture. The ideal candidate will have hands-on experience building and deploying AI/ML pipelines, as well as guiding cross-functional teams through the entire model lifecycle—from ideation to deployment. Job responsibilities Key Responsibilities: Design end-to-end AI/ML architecture and solutions aligned with business objectives Lead development and deployment of ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn Architect scalable data pipelines for training and inference using tools like Apache Spark, Airflow, or Databricks Collaborate with data engineers, scientists, and product managers to define data requirements and ML use cases Implement and advocate for MLOps best practices (CI/CD, model monitoring, automated retraining) Optimize models for performance, scalability, and cost-efficiency on cloud platforms (Azure, AWS, or GCP) Conduct code and design reviews to ensure high standards of AI/ML implementation Stay current with industry trends and evaluate new tools/technologies for adoption Mentor junior engineers and guide them in ML best practices and system design Required Skills & Experience: 10+ years of software/data engineering experience, with 4+ years focused on AI/ML architecture Deep expertise in ML algorithms, NLP, computer vision, or recommendation systems Proficient in Python and ML libraries (e.g., scikit-learn, pandas, NumPy) Experience with deep learning frameworks (TensorFlow, PyTorch, etc.) Strong background in data architecture, feature engineering, and cloud-native ML solutions Hands-on experience with containerized deployments (Docker, Kubernetes) Familiarity with MLOps tools (MLflow, TFX, Kubeflow, etc.) Excellent problem-solving, communication, and leadership skills Preferred Qualifications: Master’s or PhD in Computer Science, Data Science, or related field Experience in deploying AI solutions at scale in a production environment Certifications in cloud (Azure AI Engineer, AWS Machine Learning Specialty, etc.) What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Excited by AI/ML? Interested in crafting new innovative solutions using Machine Learning? The Document Cloud team, in Noida, is crafting PDF solutions spanning all surfaces - Web, Mobile, Desktop and Platform APIs, that processes billions of PDFs every month using ML, Deep-Learning and Generative AI at its core. As a part of this, we need expert individuals focusing on research and development of methods for processing huge amount of content, and can build mashups of Vision, Image Processing, NLP, generative models to solve sophisticated problems. What you get to do in this role: Develop algorithms that apply deep learning and innovative methods in NLP & computer vision, combined with traditional large sophisticated solutions/codebases! Developing innovative solutions using Generative AI, Python, Machine Learning and Data Science! Build experiments, algorithms and ship solution that not only yield high accuracy but are also crafted and engineered to scale. Collaborate across multiple research and engineering teams, making the tradeoffs required to rapidly deliver AI/ML software solutions. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD preferred. 3+ years hands-on experience in either deep-learning models, Image processing, Vision and/or NLP. Ability to write efficient, clean, and reusable code in Python. Knowledge of C++. Broad Machine Learning experience – Data, Modelling, Metric, Analysis of Results. Experience in prompt-engineering and working with advanced-RAG systems. Exposure to Deep Learning - CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning. Hands-on coding in pyTorch or Tensorflow. Exposure in building solutions from scratch and writing maintainable code inside large existing codebases. Strong software development skills that encourage code reuse among engineers and researchers. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

Job Title: Cognitive Lead – Google Cloud AI Solutions (Band C) Reporting To: AVP / Sr. AVP Location: India Experience Required: 10+ Years Education: B.Tech or equivalent degree Job Summary We are looking for a Cognitive Lead (Band C) with deep technical expertise in Google Cloud AI technologies , particularly Dialogflow CX , Vertex AI , and Gemini , to lead the design and development of intelligent automation and conversational AI solutions. The ideal candidate will bring strong programming skills, hands-on experience with modern AI/ML frameworks, and a passion for developing scalable, production-grade solutions on the Google Cloud Platform (GCP) . This is a senior developer role with leadership responsibilities to guide development teams on coding standards , AI solutioning , and engineering best practices . Key Responsibilities AI Solution Development Design, develop, and deploy AI/ML solutions leveraging Google Dialogflow CX, Vertex AI, and Gemini. Develop scalable Conversational AI and Natural Language Understanding (NLU) applications on GCP. Build and maintain microservices and APIs to support AI applications. Technical Leadership Act as a technical mentor and guide to developers, enforcing coding standards, architecture patterns, and best practices. Conduct peer reviews and ensure high code quality and performance. Hands-on Development Write clean, efficient, and maintainable code using Python, Java, and Node.js. Leverage frameworks such as TensorFlow, PyTorch, and Scikit-learn for AI/ML model development and training. Collaboration & Strategy Work closely with Product Owners, Cloud Architects, and Data Scientists to convert business requirements into technical solutions. Collaborate with cross-functional teams to align AI solutions with enterprise architecture. Domain Expertise Apply domain-specific knowledge of US Healthcare and Insurance to shape relevant and compliant AI solutions. Ensure solutions meet industry standards, security, and regulatory requirements. Required Qualifications And Skills 10+ years of overall IT experience with at least 3+ years in AI/ML and Google Cloud technologies. Proven hands-on experience with Google Dialogflow CX, Vertex AI, and Gemini. Strong programming skills in Python, Java, and Node.js. Expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, and Scikit-learn. Experience implementing and scaling AI solutions on Google Cloud Platform (GCP). Knowledge of containerization and orchestration tools (Docker, Kubernetes) is a plus. In-depth understanding of US Healthcare and Insurance domain workflows and data sensitivities. Strong communication skills with the ability to mentor developers and interface with technical leaders. Bachelor’s Degree in Engineering (B.Tech); certifications in GCP or ML preferred. Nice to Have GCP certifications like Professional Machine Learning Engineer or Professional Cloud Developer. Experience with CI/CD pipelines, DevOps practices, and version control (Git). Familiarity with privacy, HIPAA, and data protection standards in Healthcare Show more Show less

Generative AI Model Development: Design, train, and fine-tune LLMs (GPT, LLaMA, Claude), diffusion models, and multimodal AI systems for various applications. NLP & Deep Learning Expertise: Implement and optimize Transformer-based architectures (BERT, T5, GPT, etc.) for text generation, summarization, and embeddings. AI Pipeline Engineering: Develop end-to-end AI pipelines , including data preprocessing, model training, inference, and deployment using PyTorch, TensorFlow, or JAX. Agile Development: Work in an Agile/Scrum environment, participating in standups, sprint planning, and retrospectives to iteratively develop AI-driven products. Fine-tuning & Optimization: Optimize pre-trained models through LoRA, PEFT, quantization, and distillation for efficiency and cost-effectiveness. Cloud & MLOps Integration: Deploy AI models on AWS using Kubernetes, Docker, FastAPI, and serverless architectures . Vector Databases & Retrieval-Augmented Generation (RAG): Work with FAISS, ChromaDB, Weaviate, or Pinecone to enhance generative models with retrieval-augmented techniques. AI Security & Ethics: Implement safeguards against bias, hallucinations, adversarial attacks , and ensure compliance with AI governance frameworks (e.g., GDPR, HIPAA). Experimentation & Research: Stay up-to-date with the latest AI advancements, conduct A/B testing , and experiment with new zero-shot, few-shot, and fine-tuning techniques. Collaboration & Mentorship: Work with cross-functional teams (data scientists, software engineers, product teams) and mentor junior AI engineers. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. UnitedHealth Group is a leading health care company serving more than 100 million people worldwide. The organization is ranked 7th among Fortune 500 companies with 2019 annual revenue of ~242 BN $ driven by a solid, dedicated and inspired team of 325K employees located globally with diverse talents and background, building our United culture. UHG serves its customers through two different platforms - UnitedHealth Care (UHC) and Optum. UHC is responsible for providing healthcare coverage and benefits services, while Optum provides operations, analytical and technology enabled health services across healthcare ecosystem. India operations of UHG are aligned to Optum. Payment Integrity & Provider Analytics team is responsible for driving analytical solutions and research to help transform UHC and Optum ‘s solutions across Payment Integrity, Healthcare Fraud, Waste, Abuse, Provider Network, Provider Operations etc. using Artificial Intelligence, Machine Learning, Big Data and Cloud Processing. Payment Integrity and Provider Operations are two key areas of our business impacting how we pay claims and manage medical costs to pay the right amount for the right service, and how do we become preferred partners for our providers by offering seamless business experience and interactions. Primary Responsibilities Leadership & Mentorship: Guide and mentor a team of data scientists, fostering a collaborative and innovative environment Project Management: Oversee the planning, execution, and delivery of complex ML, AI, and generative AI projects, ensuring alignment with business objectives Advanced Analytics: Utilize advanced ML, AI, and generative AI techniques to analyze large datasets and extract actionable insights Strategic Collaboration: Work closely with stakeholders across departments to understand their needs and translate them into data-driven solutions Model Development: Design, develop, and implement predictive models, algorithms, and generative AI systems to solve business problems Innovation: Drive the adoption of cutting-edge ML, AI, and generative AI technologies within the organization Data Governance: Ensure data integrity, quality, and security across all analytics processes Continuous Improvement: Stay updated with the latest industry trends and technologies, and integrate them into the team's practices Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Education: Bachelor's in CS or related field. Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field Certifications: Relevant certifications in machine learning, AI, or generative AI Experience: 8+ years of experience in data science, with a proven track record of leading successful ML, AI, and generative AI projects Industry Knowledge: Experience in the specific industry (e.g., finance, healthcare, technology) relevant to the organization Interdisciplinary Expertise: Experience working at the intersection of data science and other fields such as computer vision, natural language processing, or robotics Technical Skills: Proficiency in programming languages such as Python, R, and SQL; experience with big data technologies like Hadoop and Spark; expertise in ML frameworks (e.g., TensorFlow, PyTorch) and generative AI models (e.g., GANs, transformers) Analytical Skills: Solid background in statistical analysis, machine learning, AI, and generative AI Advanced Tools & Technologies: Familiarity with advanced tools and technologies such as Kubernetes, Docker, and cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying ML and AI models Leadership Skills: Demonstrated ability to lead and mentor a team, manage projects, and collaborate with stakeholders Communication Skills: Demonstrated excellent verbal and written communication skills, with the ability to convey complex concepts to non-technical audiences Soft Skills: Demonstrated solid problem-solving skills, creativity, and the ability to work in a fast-paced, dynamic environment Preferred Qualifications Experience with CI/CD pipelines & Security expertise Experience with international teams & Consulting experience Change management experience, Conflict resolution skills & Public speaking experience Knowledge of data visualization tools (e.g., Tableau, Power BI, D3.js) Familiarity with emerging technologies (e.g., blockchain, quantum computing, edge computing) Understanding of optimization techniques (e.g., linear programming, integer programming) Proficiency in additional programming languages (e.g., Java, Scala, Julia) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 12 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and training sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of cloud computing platforms and services. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques and tools. - Ability to design and implement scalable AI solutions. Additional Information: - The candidate should have minimum 12 years of experience in Large Language Models. - This position is based at our Noida office. - A 15 years full time education is required. 15 years full time education Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for you to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. Responsibilities Research and Development: Develop a deep understanding of state-of-the-art tools, technologies, and methods in the research community and product groups. Design and implement fundamental technologies, and drive applied research to enable better search and information retrieval experiences for consumers and enterprises alike. Project Management: Drive projects end-to-end, from design through implementation, experimentation, and ultimately shipping features to users. Own the development of state-of-the-art machine learning and deep learning algorithms leveraging text, images, and video for analyzing and transforming content to build world-class search and AI products. Collaboration: Work in a diverse, geographically distributed team environment where collaboration and innovation are valued. Partner closely with cross-functional stakeholders (engineering, research, product management) to define project goals, success criteria, and deliverables, ensuring alignment and shared vision. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing (NLP), and related fields. Explore new opportunities and tackle emerging challenges to keep our products on the cutting edge. Lead the team to continuously improve solutions (e.g., enhancing the precision and recall of intelligent systems or bot detection algorithms) by incorporating new signals, data sources, and algorithms. Qualifications Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 8+ years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 9+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 5+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 5+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

As our Principal Machine Learning (ML) / Personalization Engineer, you will:  Architect and deploy ML-based personalization systems for our suite of digital news products, including recommender systems for content ranking, homepage personalization, push notification targeting, and audience segmentation. Collaborate closely with editors, product managers, and analysts to integrate machine learning into the editorial workflow—making content creation, packaging, and distribution smarter and audience-aware. Analyze user behavior and content consumption patterns using large-scale datasets to build user understanding models and inform personalization strategies. Own the end-to-end ML pipeline: from data acquisition, feature engineering, model training & evaluation, to deployment and real-time inference. Drive experimentation culture: lead A/B testing and iterative optimization of recommendation and ranking models. Stay on top of global trends in personalization, news AI, large language models (LLMs), and recommendation systems, and bring best-in-class solutions to our stack. Who you need to be: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 8–12 years of experience in machine learning, ideally in recommendation systems, personalization, or search relevance. Strong experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Hands-on with recommendation engines (collaborative filtering, content-based, hybrid models) and vector similarity models. Experience with real-time data processing frameworks and deploying models in production. Solid understanding of SQL and data platforms (e.g., Snowflake, BigQuery, or Redshift). Exposure to BI tools (Metabase, Looker, Tableau) is a plus. Comfortable navigating ambiguous, fast-paced environments and leading cross-functional initiatives. Excellent communication and collaboration skills—able to explain complex ML concepts to non-technical stakeholders. Show more Show less

Job Description Job Description: As an AI Engineer, you will work closely with cross-functional teams to design, build, and deploy AI solutions in a scalable and efficient manner. You will be responsible for leveraging Docker and Kubernetes for containerization and orchestration, implementing MLOps practices and utilizing your skills in python and machine learning to build and enhance our AI models. Experience in Generative AI is highly desired as we continue to push the boundaries of AI applications. Responsibilities: Design and develop AI/ML models and systems from prototyping to production, while ensuring scalability and efficiency. Utilize Docker and Kubernetes for containerization, deployment and orchestration of AI models and services in production environments. Implement and manage end-to-end MLOps pipelines to automate model training, testing, deployment and monitoring. Build robust, reusable, and scalable Python code for AI model development and deployment. Work on the integration and deployment of generative AI models and systems for innovative applications. Troubleshoot, optimize and maintain production-level AI models and services. Stay up-to-date with the latest trends and advancements in AI, machine learning and MLOps technologies. Requirements: Bachelor's or Master’s degree in Computer Science, Engineering or related field. Proven experience (3+ years) in AI/ML engineering with a strong focus on Docker, Kubernetes, and MLOps. Expertise in Python and frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn or similar. Solid understanding of machine learning algorithms and techniques, particularly in deep learning and natural language processing (NLP). Hands-on experience deploying and managing AI models in production using Docker and Kubernetes. Knowledge of cloud platforms (OCI, AWS, Azure, GCP) and how they relate to containerized AI deployments. Experience with CI/CD pipelines and version control (Git). Strong understanding of generative AI models such as GANs, VAEs or transformers. Familiarity with monitoring, logging, and debugging AI/ML systems in production environments. Excellent communication and teamwork skills, with the ability to collaborate with diverse teams. Preferred Qualifications: Experience with large-scale AI model deployments. Knowledge of additional languages such as Java, Go or C++. Familiarity with data engineering tools and frameworks (Apache Kafka, Spark etc.). Exposure to AI ethics and governance. Career Level - IC3 Responsibilities Job Description: As an AI Engineer, you will work closely with cross-functional teams to design, build, and deploy AI solutions in a scalable and efficient manner. You will be responsible for leveraging Docker and Kubernetes for containerization and orchestration, implementing MLOps practices and utilizing your skills in python and machine learning to build and enhance our AI models. Experience in Generative AI is highly desired as we continue to push the boundaries of AI applications. Responsibilities: Design and develop AI/ML models and systems from prototyping to production, while ensuring scalability and efficiency. Utilize Docker and Kubernetes for containerization, deployment and orchestration of AI models and services in production environments. Implement and manage end-to-end MLOps pipelines to automate model training, testing, deployment and monitoring. Build robust, reusable, and scalable Python code for AI model development and deployment. Work on the integration and deployment of generative AI models and systems for innovative applications. Troubleshoot, optimize and maintain production-level AI models and services. Stay up-to-date with the latest trends and advancements in AI, machine learning and MLOps technologies. Requirements: Bachelor's or Master’s degree in Computer Science, Engineering or related field. Proven experience (3+ years) in AI/ML engineering with a strong focus on Docker, Kubernetes, and MLOps. Expertise in Python and frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn or similar. Solid understanding of machine learning algorithms and techniques, particularly in deep learning and natural language processing (NLP). Hands-on experience deploying and managing AI models in production using Docker and Kubernetes. Knowledge of cloud platforms (OCI, AWS, Azure, GCP) and how they relate to containerized AI deployments. Experience with CI/CD pipelines and version control (Git). Strong understanding of generative AI models such as GANs, VAEs or transformers. Familiarity with monitoring, logging, and debugging AI/ML systems in production environments. Excellent communication and teamwork skills, with the ability to collaborate with diverse teams. Preferred Qualifications: Experience with large-scale AI model deployments. Knowledge of additional languages such as Java, Go or C++. Familiarity with data engineering tools and frameworks (Apache Kafka, Spark etc.). Exposure to AI ethics and governance. About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Introduction A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive Your Role And Responsibilities We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI and Automation solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. In this role, you will be resposible for : Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Preferred Education Master's Degree Required Technical And Professional Expertise Bachelor’s or Master's degree in Computer Science, Artificial Intelligence, or a related field. 4+ years of experience in designing and delivering AI solutions, with a focus on foundation models, large language models, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services is a plus. Solutioning Experience: Experience in solution architecture and design, translating business requirements into technical specifications, and developing scalable and robust AI solutions. Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindset: Demonstrate a growth mindset to understand clients’ business processes and cha Preferred Technical And Professional Experience Experience in full AI project lifecycle, from research and prototyping to deployment in production environments. Familiarity with Agile development methodologies Experience with AI and/or data governance Experience with building business automation or digital labor solutions Experience with building customer care solutions/digital assistants Experience with Red Hat OpenShift Experience with Kubernetes Experience with vector DB’s or open file formats like parquet ,avro or orc Show more Show less

JOB TITLE: DIRECTOR, HEALTH AI ENGINEERING LOCATION: Noida / Delhi India (Relocation package available for outstation candidate) Cancard Inc and Advaa Health are seeking an experienced, engaged, and hands-on, AI technologist with digital health and US EHR experience for the role of Director, Software Engineer - Computer Vision and Edge AI. This role will be pivotal in driving development, launch, and successfully commercializing an innovative portfolio of AI based digital healthcare products for global markets. Cancard Inc has been a multi-technology company based in Markham (Toronto) since 1989. Both Cancard and its sister company, Advaa Health, are at the forefront of transforming primary healthcare through technological innovation. Our mission is to empower primary care physicians with state-of-the-art digital tools and solutions that streamline their practices and significantly reduce administrative burdens and operational costs. Amidst increasing paperwork and complex administrative tasks faced by healthcare professionals, we serve as a key partner, enabling physicians to focus on patient care. Our healthcare product portfolio leverages cutting-edge technologies in data analytics, artificial intelligence, and cloud computing to offer seamless, intuitive, and cost-effective solutions. By integrating our systems, primary care practices can enhance patient engagement, optimize appointment scheduling, automate billing and coding processes, and access comprehensive patient health records in real-time. These advancements not only improve the quality of care provided but also contribute to a significant reduction in overhead costs. As we continue to innovate at the intersection of technology and healthcare, our vision is to become the leading AI digital health company that revolutionizes primary care practices worldwide. We are dedicated to creating a future where healthcare is accessible, affordable, and above all, centered around the well-being of patients. This position offers a unique opportunity for senior AI technologist who are passionate about solving critical healthcare challenges to learn and grow within the company. The role provides direct experience and exposure to customers in the US, Canada, and other global markets. KEY RESPONSIBILITIES: 1. Lead Design and Development: · Spearhead the architecture, design, and development of advanced healthcare applications using Java and Angular, focusing on crafting scalable and efficient solutions that meet the evolving needs of the healthcare industry. · Apply best practices in software design patterns and coding standards to ensure the production of high-quality code. 2. Implementation of Healthcare Standards: · Integrate and ensure compliance with healthcare interoperability standards, including HL7 (Health Level Seven) and FHIR (Fast Healthcare Interoperability Resources), to facilitate seamless data exchange and communication between different healthcare systems and applications. · Work closely with healthcare professionals and stakeholders to understand clinical workflows and requirements, ensuring the developed solutions effectively address their needs. 3. Microservice, AWS Cloud Design and Deployment: · Design cloud-native solutions and migrate existing applications to AWS, leveraging a range of AWS services to optimize for performance, reliability, security, and cost. · Implement robust security measures and data protection practices to safeguard sensitive healthcare information, adhering to HIPAA and other relevant regulations. 4. Cross-functional Collaboration: · Collaborate with product managers, designers, QA engineers, and other stakeholders throughout the software development life cycle to gather requirements, refine features, and troubleshoot issues. · Participate in agile ceremonies, such as sprint planning, stand-ups, and retrospectives, contributing to the continuous improvement of the team’s processes and outputs. 5. Mentorship and Knowledge Sharing: · Act as a mentor to junior developers, providing guidance and support in their professional development, fostering a culture of learning and growth within the team. · Lead by example in adopting new technologies and methodologies, encouraging innovation and experimentation. 6. Continuous Learning and Improvement: · Stay updated with the latest trends and developments in software engineering, healthcare technologies, and cloud computing, identifying opportunities to apply new tools and techniques to improve the product and development process. · Initiate and lead efforts to improve code quality, performance, and scalability through code reviews, refactoring, and optimization. 7. Quality Assurance and Security Compliance: · Work closely with the QA team to ensure the developed applications meet quality standards and user expectations through comprehensive testing strategies, including unit, integration, and end-to-end tests. · Ensure applications comply with industry-standard security practices, conducting regular security assessments and addressing vulnerabilities promptly. 8. Project Leadership: · Take ownership of projects from inception to deployment, managing timelines, resources, and risks effectively to ensure timely delivery of projects. · Communicate project status, challenges, and achievements to stakeholders, facilitating transparency and alignment across the organization. QUALIFICATIONS: · Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. · 7+ years of experience in software development, with a strong focus on Java and Angular. · 5 years of Computer Vision, Edge AI and Deep Learning Product Experience: o Minimum of 5 years of experience in Computer Vision and AI based product development. o Extensive experience with real-time image processing and edge AI solutions, particularly in deploying AI models directly onto edge devices. o Proven track record in developing and commercializing products, especially those integrating advanced computer vision and deep learning technologies. · AI EDGE Technical Expertise: o Strong proficiency in programming languages such as Python, C++, and use of AI frameworks like TensorFlow, PyTorch, and OpenCV. o Demonstrated experience with Nvidia Jetson platforms for edge computing applications involving AI. o Hands-on experience in integrating and managing IoT sensors and devices in a networked environment, with a focus on real-time data processing and analytics. · Must have experience of developing, launching, and managing healthcare cloud-based products in production. · Understanding of healthcare interoperability standards, including HL7 and FHIR. · Proven experience in developing and deploying applications on AWS cloud, including services like EC2, S3, RDS, Lambda, and CloudFormation. · Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation). · Excellent problem-solving skills, with the ability to lead projects and mentor team members. · Strong communication and collaboration skills, comfortable working in a fast-paced, agile environment. WHAT WE OFFER: · Competitive salary and benefits package. · Flexible working hours and remote work options. · A dynamic and supportive work environment with opportunities for professional growth and development. · The chance to work on meaningful projects that have a real impact on healthcare. HOW TO APPLY: Please submit your resume, cover letter, and any relevant work samples or project portfolios to pooja@cancard.com. In your cover letter, explain why you're interested in this role and how your background and experience make you a perfect fit for our team. Show more Show less

[Highly skilled in Python] [Interviews happening this weekend itself] ✅ Type : Full Time, Hybrid Perks: US organisation, handsome compensation Requirement: 🥇 Top notch skill in python 🥇 Compensation: upto $20/hour (~upto Rs 2.5L per month) - based on skill level About Us: We are at forefront of AI and machine learning, and we’re looking for motivated individuals to contribute to the next generation of intelligent models. We’re looking for skilled software engineers to help train cutting-edge AI models for the future of tech innovation! This is your chance to work remotely, on your own terms, and be part of the an growing AI organisation. 🌍💡What you'll do: ✅ Build, train, and optimize AI models that are transforming industries ✅ Work hands-on with Python and AI/ML frameworks like TensorFlow, PyTorch ✅ Use your coding skills to improve AI-generated code ✅ Engage with generative AI models to solve real-world coding challenges ✅ Evaluate and rank AI-written code to make it smarter and more efficient 🌍💡Who should apply: ✅ Brightest minds in Delhi with high skill in Python 🥇 ✅ Strong understanding of computer science principles ✅ Excellent communication skills in English ✅ Prior experience with GenAI projects would be a great asset 🌍💡How to Apply: ✅ Fill the GoogleForm ✅ Receive Python assessment link over email ✅ Take assessment very seriously ✅ Receive invite to on-site onboarding session [happening on coming Saturday, Sunday - October 26th, 27th] Follow for more AI Jobs + Entrepreneurship Ayyush Sharma (Chhotapreneur) Growth, Strategy & Revenue Operations | A+ track record in scaling startups. Growth @ Outlier AI Show more Show less

Bold is seeking for newest addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team. WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Fine-tuning knowledge is good to have. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins EXPERIENCE- Module Lead- 5.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

DS Group is looking for technical expert with a deep knowledge in AI, machine learning/deep learning and Natural language processing. The individual will focus on addressing in-house business challenges to optimize operations and reduce costs, thereby increasing revenue. Job Title : Member Technical Staff Role & Responsibilities Research, develop and deliver products for Industry using machine learning/ computer vision and generative AI tools and algorithms. Skills & Competencies In-depth knowledge of machine learning concepts, algorithms and applications. Knowledge in Generative AI, LLMs. Experience in developing machine learning solutions to Industry. Experience in Object Detection algorithms like YOLO, SSD etc Coding experience in Python. Candidate can build and deploy advanced AI solutions, leveraging tools (like Tensorflow, CUDA toolkit, PyTorch, OpenCV or similar tools) to address complex data and computational challenges. Enthusiastic, Great Attitude, and eager to learn The desired candidate should be a quick thinker and should have a track record of high performance product development. The candidate should be of innovative, hard-working and result oriented. Research experience is preferred. Qualification Experience – 2-4 years Education – B.Tech Degree in CSE or similar field. Master’s degree is a plus. Show more Show less

We're Hiring! Machine Learning Engineer for a B2B SaaS based startup in Noida. 🔹 Position: Machine Learning Engineer 🔹 Experience: 3.5 Years to 5 Years 🔹 Location: Noida, Sector 90 🔹 Work Mode: 5 Days | Work From Office 🔹 Notice Period: Immediate to 30 Days Key Responsibilities Design, develop, and optimize machine learning models for various business applications. Build and maintain scalable AI feature pipelines for efficient data processing and model training. Develop robust data ingestion, transformation, and storage solutions for big data. Implement and optimize ML workflows, ensuring scalability and efficiency. Monitor and maintain deployed models, ensuring performance, reliability, and retraining when necessary. Qualifications and Experience Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 3.5+ years of experience in machine learning, deep learning, or data science roles. Proficiency in Python and ML frameworks/tools such as PyTorch, Langchain Experience with data processing frameworks like Spark, Dask, Airflow, and Dagster Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services. Experience with MLOps tools like MLflow, Kubeflow Familiarity with containerisation and orchestration tools like Docker and Kubernetes. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills. If you’re ready to take on a leadership role and thrive in a dynamic startup environment, share your profile at gautam@mounttalent.com. Show more Show less

GL Bajaj (Institute of Technology & Mgmt.) – A Glimpse! Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA) Vibrant Learning Ecosystem on the campus, has inspired and brilliant students. GL Bajaj Group was incepted in year 1997 , carrying a winning legacy of 12 institutions running diverse higher education programs. GL Bajaj Group, has +14,000 students, +800 faculty members , 12 institutions, and 6 campuses with +300 acres of land. NAAC A+ accredited, 4 stars fr om Ministry of Education , NIRF rank holder , Research & Incubation centre, Entrepreneurship development and top quality placement for students Vision to give globally competent & socially sensitive professionals to the society. Highly inquisitive students who take risks, experiment, and put novel ideas into action. Sharpens the Technical as well as Life Skills of students – Developing young leaders. Have world class collaborative LEARNING infrastructure for teaching & learning practices. Hiring Distinguished faculty members from the Institutes of repute . We nurture versatile INTRAPRENEURs . Our core belief is in nurturing Diverse, inclusive, equity knowledge gems Hi – Tech Campus has a beautiful , serene environment & students enjoy learning. Believes in relentless change and desire to improve . We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate , works with technology driven progressive mindset and execute the concept of sustainability in each task ( paperless ) in learning process delivery. We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas. If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK! ABOUT JOB Designation: Assistant Professor for subject specialization Computer Science and Engineering, Artificial Intelligence (AI), Machine learning, Data Science , Deep Learning, Natural Language Processing, Computer Vision, or related areas Job Purpose & Role: To teach, research and serve the Institution for academic, institutional & student’s growth & development. A. Knowledge To develop and teach undergraduate and graduate courses in artificial intelligence, machine learning, deep learning, natural language processing, computer vision, or related areas. Proven experience in teaching undergraduate and/or graduate courses in AI or related areas, with a commitment to innovative pedagogical approaches. Have an ability to stay abreast on the latest emerging trends and technologies in AI such as reinforcement learning, generative models, or ethical AI. To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers. Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools. To make best use of technology in teaching learning methodology. Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results /awards/positions in the university. To fulfill responsibility concerning students in respect of instruction, progress, and examination. To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects. To conduct cutting-edge research in AI , publish findings in reputable journals and conferences, and pursue external funding to support research activities. To supervise and mentor graduate students, providing guidance and support in their research endeavours To collaborate with industry partners to apply AI techniques to real-world problems and foster technology transfer. To have an ability to secure external research funding and lead research projects independently or collaboratively. Proven experience in working with interdisciplinary research teams or collaborating across departments. To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students. To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc. To ensure discipline and welfare of the students . To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE To do quality research, have good academic record and books/research paper publications/IPR/patents record. To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field. B. Skills Academician/Researcher of Nurturing Students interpersonal & content delivery skills. Communication skills. to engage students constructively. Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International C. Attributes Dynamic, energetic, team player, thrives among strong colleagues. Ability to work in fast paced evolving environment . Be willing and able to exercise judgment and take risks. Accept criticism and constructive feedback , while being extremely adaptable and flexible. Reflection of an impeccable persona in walk-talk while dealing with academia High spiritual quotient (Social quotient -SQ, Intelligence quotient - IQ, Emotional Quotient - EQ) D. Qualifications & Years of Experience as per AICTE/UGC norms: B.Tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc. Etc. and throughout first class 0-4 years of experience in teaching/ research PhD or PhD (Pursuing) in artificial intelligence, machine learning, or a related field. candidates from Top Institutes will be preferred Industry & Global experience is desirable. E. Salary as per current norms F. Location: Greater Noida, Delhi/NCR G. Apply for the position by sending your CV on careers@glbitm.ac.in H. You may visit our website’s career page at www.glbitm.org Show more Show less

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

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

BOLD is seeking for addition to our existing Data Science team, you’ll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. You’ll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products – More towards the role required Job Description ABOUT THIS TEAM The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, distributing suggestions to other teams and top management, and using data tools such as Python and SQL. The Data Science team actively collaborates with other vertical teams such as Engineering, Portals, BI, Product, Legal. Most of the projects are focused around problems that require a mix of natural language processing and machine learning. Some of the active projects are resume parsing, ranking, summary generation, data quality and scoring, content generation, job recommendations, and conversion analysis. Apart from the business initiatives, the team also explores state of the art methods and keeps them upto to date with technology. WHAT YOU’LL DO Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience WHAT YOU’LL NEED Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Should have done one or more projects involving fine-tuning with LLMs Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. WHAT'S GOOD TO HAVE Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net – NR EXPERIENCE- Software Engineer, DataScience- 2.5 years+ BENEFITS Outstanding Compensation Competitive salary Tax-friendly compensation structure Bi-annual bonus Annual Appraisal Equity in company 100% Full Health Benefits Group Mediclaim, personal accident, & term life insurance Group Mediclaim benefit (including parents' coverage) Practo Plus health membership for employees and family Personal accident and term life insurance coverage Flexible Time Away 24 days paid leaves Declared fixed holidays Paternity and maternity leave Compassionate and marriage leave Covid leave (up to 7 days) ADDITIONAL BENEFITS Internet and home office reimbursement In-office catered lunch, meals, and snacks Certification policy Cab pick-up and drop-off facility About BOLD We Transform Work Lives As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives. We Celebrate And Promote Diversity And Inclusion We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law. Show more Show less

The candidate will be part of the Static Verification team, a group of talented engineers dedicated to developing and enhancing platform for our static verification products. This team collaborates closely with other departments, including design, development, and customer support, to ensure seamless integration and execution. Together, the candidate will work on cutting-edge projects that push the boundaries of technology and contribute to the success of Synopsys and its customers. Person will work in platform team of static verification. Platform team provides support to various apps which are part of static verification. The hired candidate will provide features and support needed for successful deployment and ongoing business for apps of static verification. He might also work in developing GenAI application related to static platform. Technical competencies required for the role Strong hands-on experience in C/C++ based Object Oriented large and complex enterprise software development. Strong background in Design Patterns, Data Structure, Algorithms, and programming concepts. Well versed with Software Engineering and development processes. Experience with popular AI/ML frameworks (e.g., TensorFlow, PyTorch) is desirable. Experience with production code development on Unix/Linux platforms. Ability to develop new architectures and demonstrate strong leadership skills. Ability to troubleshoot, debug, and support software applications. Good analysis and problem-solving skills. 4+ years of software development experience. Preferable skills Experience in EDA/AI/ML research and development Exposure to Tcl, Python, Shell scripting and/or Vim Exposure to developer tools such as gdb, Valgrind, Visual Studio and Eclipse. Exposure with source code control tool like Perforce, Clearmake, CVS or Git. Show more Show less

Key Responsibilities: Develop and Train AI Models: Design, build, and train machine learning models, including GANs, VAEs, and other generative models. Develop and fine-tune models for NLP, computer vision, audio generation, and other AI tasks. Data Preparation: Collect, clean, and preprocess data to ensure it is suitable for training AI models. Implement datam augmentation techniques to enhance the quality and diversity of the training dataset. Algorithm Development: Develop and implement algorithms for optimizing AI models. Research and experiment with different architectures and methods to improve model performance. Integration and Deployment: Integrate AI models into production systems and applications. Deploy models to cloud platforms or edge devices as required. Performance Evaluation: Evaluate the performance of AI models using appropriate metrics. Analyze results and iterate on model improvements to achieve desired outcomes. Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to understand project requirements and deliver high-quality solutions. Documentation and Reporting: Document the development process, including data sources, model architecture, algorithms, and evaluation metrics. Prepare and present reports on model performance and project progress to stakeholders. Ethical AI Practices: Ensure that AI models adhere to ethical standards and guidelines, minimizing bias and promoting fairness. Implement content moderation and safeguard measures to prevent the generation of harmful or inappropriate content. Continuous Learning and Improvement: Stay updated with the latest advancements in AI and machine learning. Attend conferences, read research papers, and participate in professional development activities to continuously enhance skills and knowledge. Problem-Solving and Innovation: Identify and solve complex problems using innovative AI solutions. Propose and implement creative ideas to leverage generative AI for various applications and industries. Testing and Validation: Conduct rigorous testing and validation of AI models to ensure accuracy, reliability, and scalability. Implement A/B testing and other validation techniques to assess the real-world performance of AI solutions. Feedback Incorporation: Collect and analyze feedback from users and stakeholders to improve AI models and applications. Iterate on model development based on user needs and project requirements. Technical Skills: o Proficiency in programming languages such as Python, R, and Java. o Strong knowledge of machine learning frameworks and libraries, including TensorFlow, PyTorch, and Scikit-learn. o Experience with NLP tools and libraries such as NLTK, spaCy, and Gensim. o Familiarity with computer vision libraries like OpenCV. o Understanding of big data technologies, including Hadoop and Spark. o Knowledge of AI generative models, including GANs and VAEs. Mathematics and Statistics: o Strong foundation in linear algebra, calculus, and probability & statistics. Unlocking Combined Intelligence to expand human potential Soft Skills: o Excellent problem-solving and critical thinking skills. o Strong communication skills for explaining complex technical concepts to non-technical stakeholders. o Ability to work effectively in a team and collaborate with cross-functional teams. o Commitment to continuous learning and staying updated with industry advancements. o Creativity and innovation in developing AI solutions. Domain Knowledge: o Understanding of the Financial Services industry and its specific challenges. o Awareness of ethical considerations in AI development. Overall and Relevant Experience 4-8 years overall IT with 2-3 years of relevant experience in the field of AI/Gen AI Bachelor’s in computer science, Engineering, Statistics, Math’s or related quantitative degree About the Company: Dailoqa is an international, AI-native company focused on solving business problems for clients in the Financial Services sector by combining assets and strong technical and functional skills. We help our clients in their future as an AI-native organisation by providing roadmap for unlocking value by Combined Intelligence in partnership between humans and agents in integrating new technology into complex and legacy IT architectures. Why Join Us: Innovative Environment: Work on cutting-edge AI technologies and innovative projects. International Exposure : To work with international clients/team Collaborative Culture: Be part of a passionate and supportive team. Professional Growth: Opportunities for continuous learning and development. Impactful Work: Contribute to meaningful projects that drive innovation and make a difference. If you are excited about the prospect of working in a dynamic and forward-thinking company, we would love to hear from you! How to Apply: Interested candidates are invited to share their resumes on our Email id - ankita@manasamitr.com Show more Show less

PowerPoint is more than just software - it’s the world’s go-to tool for turning ideas into compelling stories. PowerPoint transforms thoughts into visual stories, enabling millions of users to share knowledge via rich presentations. PowerPoint team is reimagining visual storytelling by harnessing the power of Large Language Models (LLMs) and Agentic AI to create smarter, more dynamic presentation experiences. We are looking for an individual who has expertise in working with Large Language models (LLMs) and has designed scalable systems using LLMs. As a Senior Applied Scientist you will need to design and build systems that allow LLMs to reason over large amounts of data as well as fine tune LLMs and Small Language Models (SLMs). By leveraging the power of generative AI, you’ll help shape the future of PowerPoint by tackling the complex challenges of content, layout and visual storytelling. Your work will enable intelligent features that simplify presentation creation while enhancing creativity. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Research and Development: Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups. Design and develop fundamental technologies and drive the applied research to enable better search experiences for consumers and enterprise alike. Project Management: Drive projects from design through implementation, experimentation, and finally shipping to our users. Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products. Collaboration: Work in a diverse geographically distributed team environment where collaboration and innovation are valued. Collaborate with stakeholders to define project goals, success criteria, and deliverables. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing, and related fields, and explore new opportunities and challenges for Microsoft Office. Lead the team to continuously improve the recall and precision of bot detection by using new signals and algorithms. Qualifications Required Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 4+ years of experience with design, implementation, debugging and testing of complex distributed services. Demonstrated experience working with Large Language Models and prompt engineering. Preferred Qualifications Master’s Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or equivalent. 5+ years using ML tools like Pytorch, TensorFlow or other frameworks and libraries for developing and deploying generative AI models Practical experience developing applications using prompt engineering, fine tuning, Open AI or Azure Open AI APIs. 3+ years experience developing and deploying live production systems, as part of a product team coding in C++, C#, C, Java or Python. 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. 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

Experience : 8.00 + years Salary : USD 4074-4814 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 5 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - A leading US-based digital consultancy with a track record of excellence) What do you need for this opportunity? Must have skills required: FastAPI, Hugging Face, Knowledge graphs, MLOps, Quantization, TensorFlow, AI, ChatGPT, LLM Fine-tuning, Rag (retrieval-augmented generation), Vector databases, Python A leading US-based digital consultancy with a track record of excellence is Looking for: Role : Senior Python / AI Engineer: Hybrid (Mumbai) Experience : 6+years Work Location : Mumbai : Hybrid (One week in a month) Engagement : Contract To Hire (Initially 5 months to start) : Start date : Immediate Timing : 2pm to 11 pm IST Interview process: 2 Rounds(Aptitude round + Technical round ) Job Description : Overall Job Mission: To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies. Outcomes (What does the person need to achieve?) LLM Integration & Application Development: Successfully integrate existing LLMs (e.g., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e.g., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5). Prompt Engineering & Optimization: Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e.g., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices). AI Solution Optimization: Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e.g., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy). Data Handling & Retrieval: Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e.g., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries). Deployment & Scalability: Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e.g., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation). Competencies (How does the person need to behave?) LLM Application Expertise: Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development. Python Development & AI Frameworks: Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions. Problem Solving & Adaptability: Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies. Collaboration & Communication: Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications. Results Orientation: Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations. Required Skills & Experience- Must-Have Hands-on Experience: Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow). Hands-on experience working with LLMs and fine-tuning. Experience in prompt engineering and optimizing AI model outputs. Building APIs with FastAPI or Flask for AI model integration. Familiarity with vector databases and embedding models. Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG). Nice to Have (or Learn on the Job): Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment. Experience working with knowledge graphs and reasoning-based AI. Background in MLOps for tracking and managing AI models. 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