7311 Tensorflow Jobs - Page 12

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

As an AI Automation Specialist, you will play a crucial role in driving productivity optimization through the implementation of AI-powered solutions. Your responsibilities will include identifying opportunities to automate repetitive processes, enhance efficiency, and streamline workflows across various teams. You will be tasked with developing and executing automation strategies utilizing RPA, AI, and low-code/no-code tools to eliminate operational bottlenecks and enhance business operations. Collaborating closely with business leaders, product managers, and technology teams will be a key aspect of your role to drive AI transformation initiatives and ensure the successful scaling of automation impact. You will also be responsible for conducting change management activities, educating teams on AI-driven automation, and facilitating the seamless adoption of new processes within the organization. In addition, you will be involved in the deployment and management of AI tools such as NLP models, chatbots, document automation, and workflow optimization solutions. Working alongside cross-functional teams, you will assess pain points, design automation solutions, and implement AI-enabled productivity enhancements to drive continuous improvements and support strategic decision-making through data-driven analytics. Required Technical Skills: - Familiarity with low-code/no-code automation platforms like Bubble, Zapier AI, Make, Gumloop, n8n - Basic understanding of backend implementation including API integrations, Python, and JavaScript - Experience with video editing and graphic editing tools such as Heygen and Synthesia - Ability to build standalone apps using platforms like Replit and Lovable - Hands-on experience in NLP tools, chatbot development, and workflow automation - Strong understanding of data analytics and visualization tools like Power BI, Tableau, and Python - Proficiency in AI/ML tools (e.g., TensorFlow, Langgraph, HuggingFace Transformers) - Knowledge of AI tools for data science productivity (e.g., Cursor, Claude Code, H2O.ai, Windsurf, Copilot) Required Soft Skills: - Problem-solving mindset with the ability to identify inefficiencies and design AI-driven automation solutions - Leadership skills to influence senior leaders and drive impactful projects - Excellent communication and collaboration abilities to work effectively with cross-functional teams and stakeholders - Project management experience in implementing AI/automation projects with measurable impact.,

HCLTech is looking for MLOps Engineer HCLTech is a globally recognized leader in technology solutions, renowned for delivering innovative and transformative digital services. With a commitment to excellence and a focus on responsible AI practices, Roles & Responsibilities: Candidate with 6+years of experience Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy. Cloud experience in GCP / AWS / Azure Location: Chennai / Bangalore / Noida/ Hyderabad/ Pune Experience: 6-18 years

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering a culture of continuous learning and innovation within the organization. You will collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Additionally, you will be responsible for establishing and promoting ethical and responsible AI practices across the organization. Your impact will also include taking ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. You will conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Furthermore, you will develop and maintain AI applications using modern frameworks such as TensorFlow, PyTorch, LangChain, and Haystack, running experiments to evaluate and improve model performance. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience as an AI Architect or in a similar senior AI/ML role is required, along with a track record of deploying multiple AI solutions in production. Proficiency in cloud platforms such as Azure or AWS is essential, as well as strong expertise in AI/ML technologies, RAG architectures, and Vector Databases. Your proficiency in programming languages like Python, .NET, or similar, along with familiarity with AI/ML frameworks and libraries, will be crucial. Experience with AI project Software Development Lifecycle (SDLC), model versioning, CI/CD for ML, and AI testing strategies is also necessary. Strong analytical and problem-solving skills, along with excellent communication skills to convey complex technical concepts, are highly valued in this position. Join NiCE, a global company known for market disruption and innovation, where you will work in a fast-paced, collaborative, and creative environment. Embrace the NICE-FLEX hybrid model that offers maximum flexibility with a balance of office and remote work, enabling teamwork, collaboration, and innovation. If you are passionate, innovative, and eager to push boundaries, NiCE offers endless internal career opportunities for growth and development across various roles, disciplines, domains, and locations.,

Skills: AI/ML, Machine Learning, TensorFlow, CI/Cd, AWS, devop, azure, Job Description Minimum 5 - 8 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, Deep learning in Computer Vision (CV), and generative AI techniques. Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, like fairness, transparency, and accountability in AI models and systems. Strong collaboration with engineering teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the lates Mandatory Skills Generative AI techniques, NLP techniques, BERT, GPT, or Transformer models Azure Open AI GPT models, Hugging Face Transformers, Prompt Engineering Python, Knowledge on frameworks like TensorFlow or PyTorch, LangChain, R Deploying AI solutions in Azure, AWS, or GCP. Deep learning in Computer Vision (CV), Large Language Model (LLM) Good To Have Skills Knowledge on DevOps and MLOps practices Implement CI/CD pipelines Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

As a Software Engineer (A2), you will be responsible for designing and developing AI-driven data ingestion frameworks and real-time processing solutions to enhance data analysis and machine learning capabilities across the full technology stack. Your duties will include deploying, maintaining, and supporting application codes and machine learning models in production environments, ensuring seamless integration with front-end and back-end systems. You will also create and enhance AI solutions that enable seamless integration and flow of data across the data ecosystem, facilitating advanced analytics and insights for end users. Additionally, you will conduct business analysis to gather requirements and develop ETL processes, scripts, and machine learning pipelines that meet technical specifications and business needs. You will be tasked with developing real-time data ingestion and stream-analytic solutions using technologies such as Kafka, Apache Spark, Python, and cloud platforms to support AI applications. Utilizing multiple programming languages and tools, including Python, Spark, Hive, Presto, Java, and JavaScript frameworks, you will build prototypes for AI models and evaluate their effectiveness and feasibility. Furthermore, you will develop application systems adhering to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack. As part of a team rotation, you will provide system support, collaborating with other engineers to resolve issues and enhance system performance regarding both front-end and back-end components. You will operationalize open-source AI and data-analytic tools for enterprise-scale applications, aligning them with organizational needs and user interfaces. Your responsibilities will also include ensuring compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects. You will need to understand and follow the company's software development lifecycle to effectively develop, deploy, and deliver AI solutions. Designing and developing AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications, will also be part of your role. You will lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members. In terms of mandatory technical skills, you should have a strong proficiency in Python, Java, C++, and familiarity with machine learning frameworks such as TensorFlow and PyTorch. An in-depth knowledge of ML, Deep Learning, and NLP algorithms is essential, along with hands-on experience in building backend services using frameworks like FastAPI, Flask, or Django. Proficiency in front-end and back-end technologies, including JavaScript frameworks like React and Angular, is required to integrate user interfaces with AI models and data solutions. Developing and maintaining data pipelines for AI applications to ensure efficient data extraction, transformation, and loading processes is also a key aspect of the role. Moreover, possessing strong oral and written communication skills to effectively convey technical and non-technical concepts to peers and stakeholders is crucial. Preferred technical skills include utilizing big data technologies such as Azure Databricks and Apache Spark, developing real-time data ingestion and stream-analytic solutions leveraging various technologies, and holding relevant certifications like Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer. The ideal candidate for this role will have a Bachelor's or Master's degree in Computer Science and 2 to 4 years of Software Engineering experience. If you are open to collaborative learning, adept at managing project components beyond individual tasks, and strive to understand business objectives driving data needs, then this role is tailored for you.,

You are a highly experienced Senior Python & AI Engineer who will be responsible for leading the development of cutting-edge AI/ML solutions. Your role will involve architecting solutions, driving technical strategy, mentoring team members, and ensuring timely delivery of key projects. As a Technical Leader, you will architect, design, and implement scalable AI/ML systems and backend services using Python. You will also oversee the design and development of machine learning pipelines, APIs, and model deployment workflows. Your responsibilities will include reviewing code, establishing best practices, and driving technical quality across the team. In terms of Team Management, you will lead a team of data scientists, ML engineers, and Python developers. Providing mentorship, coaching, and performance evaluations will be vital. You will facilitate sprint planning, daily stand-ups, and retrospectives using Agile/Scrum practices. Additionally, coordinating with cross-functional teams such as product, QA, DevOps, and UI/UX will be necessary to deliver features on time. Your focus on AI/ML Development will involve developing and fine-tuning models for NLP, computer vision, or structured data analysis based on project requirements. Optimizing model performance and inference using frameworks like PyTorch, TensorFlow, or Hugging Face will be part of your responsibilities. Implementing model monitoring, drift detection, and retraining strategies will also be crucial. Project & Stakeholder Management will require you to work closely with product managers to translate business requirements into technical deliverables. You will own the end-to-end delivery of features, ensuring they meet performance and reliability goals. Providing timely updates to leadership and managing client communication if necessary will also be part of your role. Your Required Skills & Experience include a minimum of 5 years of professional experience with Python and at least 2 years working on AI/ML projects. You should have a strong understanding of ML/DL concepts, algorithms, and data preprocessing. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, FastAPI/Django/Flask, deployment tools like Docker, Kubernetes, MLflow, and cloud platforms such as AWS/GCP/Azure is essential. In terms of leadership, you should have at least 3 years of experience in leading engineering or AI teams, along with excellent planning, estimation, and people management skills. Strong communication and collaboration skills are also required. Preferred Qualifications for this role include a Masters or PhD in Computer Science, Data Science, AI/ML, or related fields, exposure to MLOps practices, experience with RAG, LLMs, transformers, or vector databases, and prior experience in fast-paced startup or product environments. In return, you will have the opportunity to lead cutting-edge AI initiatives, encounter task variety and challenging opportunities, benefit from high autonomy, a flat hierarchy, and fast decision-making, as well as receive competitive compensation and performance-based incentives.,

The Consultant role requires 4 to 7 years of work experience and is based in Bangalore/Gurgaon with a Hybrid work mode. The ideal candidate should possess Machine Learning, Python, and Gen AI skills. Additionally, proficiency in Python is preferred, with knowledge of other programming languages like R and Java being a plus. Experience with frameworks such as TensorFlow, PyTorch, or scikit-learn is essential. Familiarity with generative AI models like GPT, BERT, LLaMA, or other transformer-based architectures is a significant advantage. Candidates should have experience in developing, testing, and deploying high-quality AI models and solutions and be proficient in data manipulation, cleaning, and analysis. Ability to create clear visualizations using tools like Matplotlib, Seaborn, or Tableau is required. Familiarity with cloud services like AWS, Google Cloud, or Azure for deploying AI solutions is beneficial. Key Responsibilities include designing and implementing AI/ML models and data-driven solutions for complex challenges in healthcare and life sciences. The role involves analyzing large datasets to identify trends, generate insights, and support data-informed decision-making. Collaboration with consultants, data engineers, and scientists is essential to build end-to-end data pipelines and analytical workflows. Interacting with clients through interviews, workshops, and presentations to contribute to deliverables and foster strong relationships is a key aspect of the role. The candidate should be able to communicate complex analyses into actionable insights for both technical and non-technical stakeholders. Continuous learning, staying updated with AI/ML advancements, contributing to research and proposals, and mentoring junior team members are also part of the responsibilities.,

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for delivering advanced analytics projects that drive business results including interpreting business, selecting the appropriate methodology, data cleaning, exploratory data analysis, model building, and creation of polished deliverables. Responsibilities Analytics & Strategy Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional data Operational Excellence Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analyses Stakeholder Engagement Working collaboratively across multiple sets of stakeholders – Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats Job Requirements Education Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience 3–4 years of relevant working experience in a data science/advanced analytics role Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics) Statistical modelling using Analytical tools (R, Python, KNIME, etc.) and use big data technologies Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference) Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference. Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.) Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.) Microsoft Office applications (MS Excel, etc.)

Microsoft Teams is the hub for teamwork that integrates all the people, content, and tools your team needs to be more engaged and effective. It is core to Microsoft’s modern work, modern life & modern education value prop. We are reinventing the way people communicate and work together across the globe. We own the infrastructure that enables complex orchestration of Copilot workflows to put powerful AI capabilities at the user’s fingertips. AI is now going through a transformational change with the advent for LLMs, we need an individual who has expertise in working with Large Language models (LLMs) who has designed scalable systems using LLMs. As an Applied Scientist II you will need to design and build systems that allow LLMs to reason over large amounts of data as well as leveraging lighter weight models in place for specific scenarios for specific scenarios. We are looking for an individual who has the proven capability of working with research teams and partnering with them to deliver joint solutions. This can range from working together to build fine-tuned models to coming up with ways to build custom LLMs for specific product needs. We are excited to hear from candidates who are passionate about making a significant impact on how people interact with their computers in the last 30 years, and who are excited about the opportunity to be at the forefront of growing new business for Microsoft. This is a rare chance to be part of a cutting-edge technology that is poised to revolutionize productivity and innovation. 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 Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning. Develop and deploy conversational and language understanding models at scale. Follow and advance best practices for Responsible AI and Privacy Preserving Machine Learning. Collaborate closely with Microsoft Research, Microsoft AI groups, Microsoft Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services. Embody our culture and values Qualifications Required 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 3+ 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 3+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 3+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 3+ 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.

As an AI Azure Architect, your primary responsibility will be to develop the technical vision for AI systems that cater to the existing and future business requirements. This involves architecting end-to-end AI applications, ensuring seamless integration with legacy systems, enterprise data platforms, and microservices. Collaborating closely with business analysts and domain experts, you will translate business objectives into technical requirements and AI-driven solutions. Additionally, you will partner with product management to design agile project roadmaps aligning technical strategies with market needs. Coordinating with data engineering teams is essential to ensure smooth data flows, quality, and governance across different data sources. Your role will also involve leading the design of reference architectures, roadmaps, and best practices for AI applications. Evaluating emerging technologies and methodologies to recommend suitable innovations for integration into the organizational strategy is a crucial aspect of your responsibilities. You will be required to identify and define system components such as data ingestion pipelines, model training environments, CI/CD frameworks, and monitoring systems. Leveraging containerization (Docker, Kubernetes) and cloud services will streamline the deployment and scaling of AI systems. Implementation of robust versioning, rollback, and monitoring mechanisms to ensure system stability, reliability, and performance will be part of your duties. Moreover, you will oversee the planning, execution, and delivery of AI and ML applications, ensuring they are completed within budget and timeline constraints. Managing project goals, allocating resources, and mitigating risks will fall under your project management responsibilities. You will be responsible for overseeing the complete lifecycle of AI application developmentfrom conceptualization and design to development, testing, deployment, and post-production optimization. Emphasizing security best practices during each development phase, focusing on data privacy, user security, and risk mitigation, is crucial. In addition to technical skills, the ideal candidate for this role should possess key behavioral attributes such as the ability to mentor junior developers, take ownership of project deliverables, and contribute towards risk mitigation. Understanding business objectives and functions to support data needs is also essential. Mandatory technical skills for this position include a strong background in working with agents using langgraph, autogen, and CrewAI. Proficiency in Python, along with knowledge of machine learning libraries like TensorFlow, PyTorch, and Keras, is required. Experience with cloud computing platforms (AWS, Azure, Google Cloud Platform), containerization tools (Docker), orchestration frameworks (Kubernetes), and DevOps tools (Jenkins, GitLab CI/CD) is essential. Proficiency in SQL and NoSQL databases, designing distributed systems, RESTful APIs, GraphQL integrations, and event-driven architectures are also necessary. Preferred technical skills include experience with monitoring and logging tools, cutting-edge libraries like Hugging Face Transformers, and large-scale deployment of ML projects. Training and fine-tuning of Large Language Models (LLMs) is an added advantage. Educational qualifications for this role include a Bachelor's/Master's degree in Computer Science, along with certifications in Cloud technologies (AWS, Azure, GCP) and TOGAF certification. The ideal candidate should have 11 to 14 years of relevant work experience in this field.,

Job Title: Manager – AI & Data Science Location: India (Remote/Hybrid) Reports To: Director – AI & Data Science / Engagement Lead About the Role We are seeking a skilled and proactive Manager – AI & Data Science to lead day-to-day delivery, innovation, and client engagement for our AI-driven marketing measurement and optimization programs (including MMO and IMT/ MIO). The role requires a hands-on leader who can manage a high-performing team, ensure flawless execution, and contribute to ongoing enhancement of AI/ML solutions that drive value for our clients and their partners. Key Responsibilities Project Leadership: Oversee delivery of AI/ML solutions, including Media Mix Optimization (MMO), Intelligent Media Targeting (IMT/MIO), and related marketing analytics initiatives. Client Engagement: Act as the primary point of contact for operational matters, collaborating closely with client stakeholders, media teams, and partner agencies. Solution Delivery: Ensure on-time, high-quality delivery of models, insights, and tools; manage model development, testing, deployment, and monitoring. Team Management: Lead and mentor a team of data scientists and analysts, fostering a culture of excellence, innovation, and accountability. Operational Excellence: Drive process improvements, documentation, and adoption of best practices across MLOps, data engineering, and analytics workflows. Innovation: Support the evolution of the company's AI product suite, contributing ideas and driving proof-of-concept initiatives (e.g., agentic AI, automation modules). Required Qualifications Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field. 8-10 years of experience in AI/ML, data science, or advanced analytics, including 3+ years in a managerial or technical leadership role. Demonstrated experience delivering AI/ML solutions in marketing analytics, media measurement, or optimization domains. Strong proficiency in machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) and data tools (e.g., SQL, Python, Spark). Exposure to MLOps principles, cloud platforms (e.g., Azure, GCP), and model deployment best practices. Excellent communication skills and ability to engage effectively with both technical and non-technical stakeholders. Preferred Skills Experience with media mix modeling (MMM), attribution models, or marketing effectiveness solutions. Understanding of ad platforms (e.g., Google, Meta, DV360) and integration of AI insights into media planning. Familiarity with Generative AI / LLM applications (nice to have). Prior exposure to working with global clients in a complex stakeholder environment. Why Join Us Opportunity to lead high-impact AI initiatives for a global industry leader. Work with cutting-edge tools and solutions in a highly collaborative, innovative environment. Grow your career through mentorship, learning, and exposure to enterprise-scale AI products.

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optimizing open-source LLMs for specific business domains, constructing and managing RAG pipelines using tools like LangChain, FAISS, and ChromaDB, as well as developing LLM-powered APIs for diverse applications such as chat, Q&A, summarization, and classification. Additionally, you will be tasked with designing effective prompt templates and implementing chaining strategies to enhance LLM performance across various contexts. To excel in this role, you should possess a strong foundation in NLP fundamentals and deep learning techniques for text data, hands-on experience with LLM frameworks like Hugging Face Transformers or OpenAI APIs, and familiarity with tools such as LangChain, FAISS, and ChromaDB. Proficiency in developing REST APIs to support ML models, expertise in Python programming with knowledge of libraries like PyTorch or TensorFlow, and a solid grasp of data structures, embedding techniques, and vector search systems are also essential. Preferred qualifications include prior experience in LLM fine-tuning and evaluation, exposure to cloud-based ML deployment (AWS, GCP, Azure), and a background in information retrieval, question answering, or semantic search. If you are passionate about generative AI and eager to contribute to the latest developments in NLP and LLMs, we are excited to connect with you.,

As a Staff Data Scientist at PhysicsWallah (PW), you will play a pivotal role in driving innovation in Generative AI and advanced Machine Learning (ML) to enhance personalized and scalable learning outcomes for students across Bharat. With your expertise and experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Reinforcement Learning, and model fine-tuning, you will lead the design and development of cutting-edge AI solutions that power intelligent content generation, adaptive learning, and personalized experiences for millions of learners. Your responsibilities will include collaborating with cross-functional teams to create next-gen AI solutions using LLMs, RAG, and RL techniques. You will fine-tune and customize models for PW-specific education use cases, architect scalable pipelines for model training and deployment, integrate models into real-world applications, conduct rigorous experimentation and testing to enhance model performance, and stay updated with the latest trends in AI frameworks and research. To excel in this role, you will need a minimum of 8 years of hands-on experience in Data Science/ML, with a recent focus on GenAI, LLMs, and deep learning. Proficiency in RAG architectures, transformer-based models, Reinforcement Learning, Python, ML frameworks such as PyTorch and TensorFlow, cloud platforms like AWS/GCP, and MLOps for scalable AI model deployment is essential. Your track record of shipping ML models into production environments, strong communication skills, and ability to work in cross-functional settings will be crucial. If you have published papers, patents, or contributions to open-source GenAI projects, experience in edtech or adaptive learning platforms, exposure to vector databases and semantic search systems, and are driven by a passion to make quality education accessible to all, then joining PW will provide you with an opportunity to work on cutting-edge GenAI problems with a large-scale real-world impact in a collaborative and fast-paced environment that offers immense learning opportunities. Shape the future of education with GenAI at PhysicsWallah by applying now and contributing to our mission of democratizing learning and transforming the way students access affordable, high-quality education.,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

You will be responsible for developing new features and models as part of the core product through applied research. Your main task will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Collaboration with engineering, product, and customers is crucial to scientifically frame business problems and develop underlying AI models. Your role will also involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. Additionally, you will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this role, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. Your expertise should include practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. You must have experience in applying machine learning to solve complex business problems from scratch. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is essential. Furthermore, you should stay updated on the latest research trends in the NLP community. Strong verbal and written communication skills, as well as effective presentation abilities, are also important for this position.,

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will work on applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. Additionally, you will be involved in architecting large scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will evaluate and validate analyses using statistical methods and present findings in a clear manner to individuals not familiar with data science or computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods, and perform feature engineering to enhance model performance. The required skills for this role include a background and knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with around 5 years of professional work experience in real-world applications. Proficiency in programming languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with knowledge of software engineering concepts like OOP and design patterns, is essential. Familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch is also required. A strong mathematical background with skills in accuracy, significance tests, visualization, and advanced probability concepts is necessary. You should be capable of architecting and implementing end-to-end solutions for accelerating experimentation and model building, as well as possessing knowledge of various machine learning techniques such as clustering, decision tree learning, and artificial neural networks. The ability to conduct both independent and collaborative research, along with excellent written and spoken communication skills, is crucial. Preferred qualifications include a B.E./B.Tech/B.S. degree with 3+ years of experience in the relevant fields or an M.E./M.S./M.Tech/PhD, preferably in Computer Science, with experience in machine learning, image and signal processing, or statistics.,

As a Data Scientist at our groundbreaking digital real estate platform in Dubai, you will play a pivotal role in transforming vast datasets into predictive models and insights that will define our competitive edge. You will have the opportunity to work on challenging problems in the PropTech space and directly influence the user experience and business strategy. Your responsibilities will include designing, training, and deploying machine learning models for the "TruValue UAE" Automated Valuation Model (AVM) to predict property values. Additionally, you will develop a personalization and recommendation engine, analyze complex datasets to identify business insights and user behavior patterns, and build predictive models for forecasting metrics such as user churn and neighborhood demand dynamics. Collaboration will be key in this role, as you will work closely with backend engineers, product managers, and business stakeholders to leverage data assets and drive personalization, market intelligence, and strategic decision-making across the platform. You will also contribute to the design and development of big data infrastructure and MLOps pipelines. To be successful in this role, you should have 3-5+ years of hands-on experience as a Data Scientist, with a proven track record of building and deploying machine learning models in a production environment. A Masters degree or PhD in a quantitative field is required, along with expert proficiency in Python and its data science ecosystem. Strong practical knowledge of various machine learning techniques, advanced SQL skills, and experience with data visualization tools are also essential. Preferred qualifications include experience in the PropTech or FinTech sectors, direct experience building Automated Valuation Models (AVMs), familiarity with cloud-based data platforms and ML services, and experience with MLOps principles and tools. Additionally, experience with time-series analysis, forecasting, and Natural Language Processing (NLP) techniques would be beneficial for this role.,

As an accomplished and forward-thinking academic leader in the field of Computer Science and Artificial Intelligence at Woxsen University, you will have the opportunity to shape the university's technological education and research agenda. Your role will involve mentoring the next generation of AI innovators, engineers, and researchers. Your key responsibilities will include delivering undergraduate and postgraduate courses in Computer Science, Artificial Intelligence, and related domains such as Machine Learning, Deep Learning, NLP, Computer Vision, Robotics, and Data Science. You will be responsible for developing and revising curriculum in line with the latest industry trends and academic advancements. Additionally, guiding students in projects, hackathons, capstone work, and entrepreneurial ventures will be an essential part of your role, fostering a student-centered learning environment that emphasizes critical thinking and innovation. In terms of research and publications, you will conduct advanced research in AI and allied areas with a focus on real-world applications. Regularly publishing in top-tier peer-reviewed journals such as IEEE, ACM, Scopus, ABDC, etc., will be expected. You will also be required to apply for funded research projects, patents, and collaborative industry grants, while mentoring junior faculty and research scholars in building strong research pipelines. As an academic leader, you will contribute to the university's strategic goals through curriculum development, accreditation processes, and academic policy formation. Participation in conferences, symposiums, and thought leadership forums representing Woxsen will be important, along with serving on academic committees and contributing to interdisciplinary collaborations across schools. Your engagement with industry and innovation will involve building partnerships with AI-focused companies, R&D centers, and tech startups for live projects, internships, and placements. Facilitating industry certifications, professional workshops, and guest lectures for student and faculty enrichment will be part of your responsibilities. Furthermore, developing AI labs, research clusters, and centers of excellence on campus will be crucial in fostering innovation. To qualify for this position, you must hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline from a recognized institution. A minimum of 5-10 years of teaching and/or industry experience in advanced computer science and AI domains is required. A strong research track record with publications in reputed journals/conferences, proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch, OpenCV, etc., as well as experience with cloud platforms (AWS, GCP, Azure) and edge AI tools is desirable. Prior experience in curriculum design, academic leadership, or working with accreditation bodies (NBA/NAAC/ABET) will be advantageous for this role.,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to pushing the boundaries of what's possible. We are committed to enabling next-generation experiences and driving digital transformation to create a smarter, connected future for all. As a Qualcomm Software Engineer, your role will involve designing, developing, modifying, and validating embedded and cloud edge software, applications, and specialized utility programs. You will be instrumental in launching cutting-edge, world-class products that not only meet but exceed customer needs. Collaboration with systems, hardware, architecture, test engineers, and other teams will be essential to design system-level software solutions and gather information on performance requirements and interfaces. We are currently seeking a detail-oriented and technically proficient Computer Vision Test Engineer with a strong background in Linux environments and scripting. In this role, you will be responsible for validating and verifying computer vision systems through rigorous testing methodologies to ensure optimal performance, reliability, and accuracy. The ideal candidate will possess strong experience with Linux system environments, proficiency in Python or other scripting languages for automation, a solid understanding of computer vision concepts and tools (e.g., OpenCV, TensorFlow), and proven experience in software testing, including test case design and defect tracking. Qualcomm is an equal opportunity employer that is committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please reach out to us at disability-accommodations@qualcomm.com or call our toll-free number. We are dedicated to making our workplace inclusive and accessible for individuals with disabilities. At Qualcomm, employees are expected to adhere to all applicable policies and procedures, including security and confidentiality requirements. Please note that our Careers Site is intended for individuals seeking job opportunities at Qualcomm. Staffing and recruiting agencies, as well as individuals represented by an agency, are not authorized to use this site to submit profiles, applications, or resumes. Unsolicited submissions from agencies will not be accepted. For more information about the role, please contact Qualcomm Careers.,

You have a great opportunity at Leadsoc Technologies for the position of AI/ML Engineer. In this role, you will utilize your 3+ years of professional programming experience in Python/MATLAB to work on AIML models, particularly in the field of Automotive MATLAB. To excel in this position, you should hold a M.Sc/M.Tech/M.S/Ph.D in electrical engineering or computer science, with a specialization in areas related to AIML, wireless, or signal processing. Your strong analytical and problem-solving skills will be crucial for success in this role. Ideally, you should have exposure to machine learning libraries such as Tensorflow or Pytorch. Knowledge of wireless communications and signal processing will be an added advantage. Experience with MATLAB is a must-have for this position. The expected notice period for this role is 3-5 years, and the location is Pune. If you are passionate about AI/ML engineering and have the required qualifications and skills, we encourage you to apply for this exciting opportunity at Leadsoc Technologies.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

As an AI Developer, you will be responsible for designing and developing AI/ML models focused on natural language understanding, intelligent automation, and real-time decision-making utilizing NLP, LLMs, and RAG techniques. Your role will involve collaborating with cross-functional teams to seamlessly integrate AI models into platforms, ensuring scalability, accuracy, and efficiency. Additionally, you will support training and development programs across various locations in India, including client sites, academic institutions, and partner locations. Your responsibilities will include the continuous testing, refinement, and documentation of AI systems using tools such as Python, TensorFlow, Hugging Face, and cloud services. You will also be expected to engage in knowledge sharing activities, conduct technical workshops, and deliver on-site demos to promote AI solutions and drive adoption. This is a full-time position with benefits including cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund. The work schedule is during day shift hours. The ideal candidate should hold a Bachelor's degree and have a total of 1 year of experience, with specific experience as an AI Developer preferred. The work location for this role is in person. Join us in this exciting opportunity to contribute to cutting-edge AI projects and make a meaningful impact in the field of artificial intelligence.,

You are a highly motivated and experienced AI/ML Developer with a minimum of 2 years of experience. Your primary responsibility will be to design and develop scalable AI/ML models and algorithms. You will collaborate with cross-functional teams to integrate ML solutions into products and analyze large datasets to extract meaningful insights. Continuous monitoring and optimization of existing models for performance improvement will also be part of your role. Staying updated with the latest research and advancements in AI/ML is essential to excel in this challenging and rewarding night shift environment. Your skills should include proven experience in Machine Learning, Deep Learning, and AI projects, proficiency in Python and ML libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. A strong understanding of data structures, algorithms, and statistics is required. Experience with model deployment and MLOps practices will be an added advantage. Excellent problem-solving and analytical skills are crucial for success in this role. As an AI/ML Developer, you will enjoy perks such as free cab facility for pick and drop, the opportunity to work on innovative high-impact projects, and a collaborative team environment. Stay updated with the latest advancements in technologies and contribute effectively to impactful projects in this exciting opportunity.,