9814 Tensorflow Jobs - Page 45

About The Role We are looking for a Senior Data Scientist to lead the design and development of intelligent, data-driven systems that power talent discovery, candidate-job matching, and workforce insights. In this role, you'll build and deploy models that process unstructured data at scale, extract actionable insights, and deliver real-time recommendations to enhance decision-making across the talent lifecycle. If you're passionate about building smart systems that solve real-world problems in the intersection of data, people, and technology this is your calling. Key Responsibilities Build and optimize machine learning models for use cases like candidate-job matching, resume parsing, talent ranking, recommendation systems, and profile enrichment. Apply NLP techniques to extract and analyze insights from large volumes of unstructured data (resumes, job descriptions, interviews, etc.). Lead experimentation efforts including A/B testing, model comparisons, and business metric evaluation. Collaborate with product, engineering, and data teams to productionize ML pipelines and ensure model reliability at scale. Develop interpretable models and frameworks that deliver explainable AI (XAI) capabilities. Identify and evaluate data sources (internal & external) for enhancing model performance and domain coverage. Design and maintain systems to monitor model drift, retraining workflows, and feature performance in production. Must-Have Skills 5+ years of hands-on experience in data science or machine learning roles, ideally in search, recommendation, or NLP-focused systems. Strong proficiency in Python, including packages like scikit-learn, spaCy, transformers, pandas, NumPy, TensorFlow, or PyTorch. Experience with natural language processing (NLP), including named entity recognition, embeddings, text classification, and semantic search. Solid experience working with structured and unstructured data, and building scalable data pipelines. Strong command over SQL and experience with distributed data systems (e.g., Snowflake, BigQuery). Demonstrated experience taking models from experimentation to production, with clear metrics and monitoring in place. Excellent problem-solving and communication skills with the ability to work Skills : Knowledge of recommendation engines, graph-based models, or search ranking algorithms. Exposure to cloud platforms like AWS, Azure, or GCP, and MLOps workflows (CI/CD for models). Experience in talent tech, HR tech, or recruitment intelligence platforms is a strong plus. Familiarity with vector databases, embeddings, and semantic similarity search. (ref:hirist.tech)

As an AI/ML Mentor at Engineer Sahab Education in Indore, you will play a crucial role in guiding and mentoring students to help them establish a solid understanding of Artificial Intelligence and Machine Learning. Your responsibilities will include conducting engaging sessions on various AI/ML concepts, assisting students in developing capstone projects, offering personalized mentorship, staying updated with the latest trends, and collaborating with the academic team to enhance learning outcomes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field, along with 1-3 years of experience in AI/ML development or teaching. Proficiency in Python and machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, and NumPy is essential. Strong communication skills, a passion for mentoring, and experience in building and deploying ML models will be advantageous. At Engineer Sahab Education, you will work in a collaborative and student-centric environment, impacting the careers of future tech professionals. You will have access to continuous learning resources and upskilling opportunities, along with a competitive salary and room for growth. If you are enthusiastic about AI/ML and enjoy sharing knowledge, we encourage you to apply and be a part of our mission to shape the next generation of AI/ML professionals.,

We are seeking a highly skilled and self-driven Site Reliability Engineer to join our dynamic team. This role is ideal for someone with a strong foundation in Kubernetes, DevOps, and observability who can also support machine learning infrastructure, GPU optimization, and Big Data ecosystems. You will play a pivotal role in ensuring the reliability, scalability, and performance of our production systems, while also enabling innovation across ML and data teams. Key Responsibilities Automation & Reliability Design, build, and maintain Kubernetes clusters across hybrid or cloud environments (e.g., EKS, GKE, AKS). Implement and optimize CI/CD pipelines using tools like Jenkins, ArgoCD, and GitHub Actions. Develop and maintain Infrastructure as Code (IaC) using Ansible, Terraform, or & Observability : Deploy and maintain monitoring, logging, and tracing tools (e.g., Thanos, Prometheus, Grafana, Loki, Jaeger). Establish proactive alerting and observability practices to identify and address issues before they impact users. ML Ops & GPU Optimization Support and scale ML workflows using tools like Kubeflow, MLflow, and TensorFlow Serving. Work with data scientists to ensure efficient use of GPU resources, optimizing training and inference & Incident Management : Lead root cause analysis for infrastructure and application-level incidents. Participate in the on-call rotation and improve incident response & Automation : Automate operational tasks and service deployment using Python, Shell, Groovy, or Ansible. Write reusable scripts and tools to improve team productivity and reduce manual Learning & Collaboration : Stay up-to-date with emerging technologies in SRE, ML Ops, and observability. Collaborate with cross-functional teams including engineering, data science, and security to ensure system integrity and : 3+ years of experience as an SRE, DevOps Engineer, or equivalent role. Strong experience with Kubernetes ecosystem and container orchestration. Proficiency in DevOps tooling including Jenkins, ArgoCD, and GitOps workflows. Deep understanding of observability tools, with hands-on experience using Thanos and Prometheus stack. Experience with ML platforms (MLflow, Kubeflow) and supporting GPU workloads. Strong scripting skills in Python, Shell, Ansible, or : CKS (Certified Kubernetes Security Specialist) certification. Exposure to Big Data platforms (e.g., Spark, Kafka, Hadoop). Experience with cloud-native environments (AWS, GCP, or Azure). Background in infrastructure security and compliance. (ref:hirist.tech)

As a global media company producing high-quality content that reaches millions of users worldwide, Cond Nast is seeking a talented Senior Director of Data Science to drive data-driven decision making and innovation across our portfolio of prestigious brands. In this pivotal role based in Chennai, TN, you will lead a team of data scientists to develop ML and AI-driven products that enhance user experiences, content personalization, and drive business growth. Reporting directly to the executive leadership, you will define and execute the data science roadmap aligned with Cond Nast's business objectives. You will foster a culture of data-driven decision-making, effectively communicating complex data insights to technical and non-technical audiences. Your strategic leadership will be instrumental in identifying opportunities for leveraging data science to drive innovation and competitive advantage across the company. Collaboration is key at Cond Nast, and you will work closely with international colleagues and stakeholders in our US, UK, and India headquarters. You will lead, mentor, and grow a high-performing team of data scientists, promoting collaboration, innovation, and professional development. By collaborating with cross-functional teams such as Product, Analytics, Engineering, Design, and UX, you will identify data science opportunities and deliver impactful solutions. In this role, you will enable the team to develop and deploy predictive models, machine learning algorithms, and AI-driven solutions to optimize content recommendations, personalization, and revenue growth. Leveraging natural language processing (NLP) and Large Language Models (LLMs), you will analyze multimodal content to power recommendations and smarter editorial decisions. Your expertise in ML/AI and statistical modeling will be crucial in improving content performance, audience engagement, and subscription growth. Furthermore, you will champion data governance and innovation, collaborating with machine learning engineering, data engineering, and IT teams to ensure the integrity, accuracy, and security of data. By staying abreast of data science trends and technologies, you will drive the development of new data products and features. Your qualifications include an advanced degree in Data Science, Computer Science, Statistics, or related disciplines, along with extensive experience in leading large-scale data science projects and teams. If you are excited about the opportunity to drive data-driven decision making and innovation in a global media company, we encourage you to apply below. We look forward to reviewing your application and considering you for this impactful role at Cond Nast.,

The Applications Development Intermediate Programmer Analyst position is at an intermediate level and involves contributing to the establishment and implementation of new or revised application systems and programs in collaboration with the Technology team. Your main responsibility will be to participate in applications systems analysis and programming activities. You will be required to utilize your knowledge of applications development procedures, concepts, and other technical areas to identify necessary system enhancements and define them. This may involve using script tools, analyzing code, and consulting with users, clients, and technology groups to recommend programming solutions, as well as supporting customer exposure systems. Additionally, you will apply your programming language skills to design specifications and analyze applications for vulnerabilities, security issues, testing, and debugging. As an Intermediate Programmer Analyst, you will also serve as an advisor or coach to new or lower-level analysts, identify problems, analyze information, and recommend and implement solutions. You should be able to operate with a limited level of direct supervision, exercise independence of judgment, and act as a subject matter expert to senior stakeholders and team members. In this role, you will need to assess risks when making business decisions, considering the firm's reputation, and ensuring compliance with laws and regulations. You must have 3-6 years of relevant experience in the Financial Service industry, intermediate-level experience in Applications Development, clear and concise communication skills, problem-solving abilities, and the capacity to work under pressure and manage deadlines effectively. A Bachelor's degree or equivalent experience in Computer Science, Data Science, or a related field is required. Job Requirements: - Bachelor's degree in Computer Science, Data Science, or related field; Master's degree preferred - 3+ years of experience as a Data Scientist, with at least 2 years in Generative AI - Proficiency in Python, TensorFlow, PyTorch, Transformers, and LangChain - Experience in API development on cloud platforms like AWS, Azure, GCP - Deep understanding of Machine Learning concepts - Strong analytical and problem-solving skills - Excellent communication and presentation skills Preferred Qualifications: - Experience with MLOps practices and tools - Familiarity with chatbot development frameworks - Knowledge of data visualization and reporting tools - Contributions to open-source projects or publications This role requires a motivated individual with a passion for Generative AI and a proven ability to deliver impactful results.,

As a member of the Google Cloud Consulting Professional Services team, you will have the opportunity to contribute to the success of businesses by guiding them through their cloud journey and leveraging Google's global network, data centers, and software infrastructure. Your role will involve assisting customers in transforming their businesses by utilizing technology to connect with customers, employees, and partners. Your responsibilities will include interacting with stakeholders to understand customer requirements and providing recommendations for solution architectures. You will collaborate with technical leads and partners to lead migration and modernization projects to Google Cloud Platform (GCP). Additionally, you will design, build, and operationalize data storage and processing infrastructure using Cloud native products, ensuring data quality and governance procedures are in place to maintain accuracy and reliability. In this role, you will work on data migrations, modernization projects, and design data processing systems optimized for scaling. You will troubleshoot platform/product tests, understand data governance and security controls, and travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. Furthermore, you will be responsible for translating project requirements into goals and objectives, creating work breakdown structures to manage internal and external stakeholders effectively. You will collaborate with Product Management and Product Engineering teams to drive excellence in products and contribute to the digital transformation of organizations across various industries. By joining this team, you will play a crucial role in shaping the future of businesses of all sizes and assisting them in leveraging Google Cloud to accelerate their digital transformation journey.,

Job Title : AI/ML Engineer Experience : 2 - 5 Years Location : Gurgaon Key Skills : Python, TensorFlow, Machine Learning Algorithms Employment Type : Full-Time Compensation : 8 - 15 LPA Job Description We are seeking a highly motivated and skilled AI/ML Engineer to join our growing team in Gurgaon. The ideal candidate should have hands-on experience in developing and deploying machine learning models using Python and TensorFlow. You will work on designing intelligent systems and solving real-world problems using cutting-edge ML algorithms. Key Responsibilities Design, develop, and deploy robust ML models for classification, regression, recommendation, and anomaly detection tasks. Implement and optimize deep learning models using TensorFlow or related frameworks. Work with cross-functional teams to gather requirements, understand data pipelines, and deliver ML-powered features. Clean, preprocess, and explore large datasets to uncover patterns and extract insights. Evaluate model performance using standard metrics and implement strategies for model improvement. Automate model training and deployment pipelines using best practices in MLOps. Collaborate with data scientists, software developers, and product managers to bring AI features into production. Document model architecture, data workflows, and code in a clear and organized manner. Stay updated with the latest research and advancements in machine learning and AI. Requirements Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. 2-5 years of hands-on experience in developing and deploying ML models in real-world projects. Strong programming skills in Python and proficiency in ML libraries like TensorFlow, scikit-learn, NumPy, Pandas. Solid understanding of supervised, unsupervised, and deep learning algorithms. Experience with data wrangling, feature engineering, and model evaluation techniques. Familiarity with version control tools (Git) and deployment tools is a plus. Good communication and problem-solving skills. Preferred (Nice To Have) Experience with cloud platforms (AWS, GCP, Azure) and ML services. Exposure to NLP, computer vision, or reinforcement learning. Familiarity with Docker, Kubernetes, or CI/CD pipelines for ML projects. (ref:hirist.tech)

Job Summary We are looking for a highly skilled and motivated Full Stack Developer with strong expertise in Python, React.js, and SQL, to join our fast-paced development team. The ideal candidate will have experience building scalable web applications and a strong interest or background in AI/ML-driven applications. You will play a crucial role in delivering intelligent solutions for enterprise clients and top-tier consulting Skills & Experience : Strong Python development skills with experience in Django, Flask, or FastAPI. React.js, Redux, and front-end technologies (JavaScript, HTML5, CSS3). Solid SQL skills with databases like PostgreSQL, MySQL, or MS SQL Server. Experience working with RESTful APIs, JSON, and asynchronous programming. Understanding of version control systems (preferably Git). Experience in writing unit and integration tests. Familiarity with Agile development and DevOps culture. Strong problem-solving skills, ownership mindset, and collaborative / Bonus Skills : Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge of data pipelines, model inference, and model deployment strategies. Hands-on with cloud platforms like AWS, Azure, or GCP. Familiarity with containerization (Docker) and orchestration (Kubernetes). Exposure to CI/CD pipelines and automated deployment tools. Prior experience in consulting environments or delivering solutions for enterprise Responsibilities : Design, develop, and maintain robust, scalable web applications using Python Build responsive and intuitive frontends using React.js and modern JavaScript frameworks. Collaborate with cross-functional teams including data scientists, designers, and consultants to integrate AI/ML models into applications. Optimize front-end and back-end components for performance, scalability, and maintainability. Build RESTful APIs and integrate with third-party APIs and data services. Contribute to architecture discussions, participate in code reviews, and maintain code quality. Support AI/ML model deployment workflows and data pipeline integration. Keep up with emerging technologies, especially in AI/ML, cloud computing, and web development. Experience of using AI Tools for efficiency gain in : Bachelors degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience). (ref:hirist.tech)

As a Software Engineer specializing in AI/ML/LLM/Data Science at Entra Solutions, a FinTech company within the mortgage Industry, you will play a crucial role in designing, developing, and deploying AI-driven solutions using cutting-edge technologies such as Machine Learning, NLP, and Large Language Models (LLMs). Your primary focus will be on building and optimizing retrieval-augmented generation (RAG) systems, LLM fine-tuning, and vector search technologies using Python. You will be responsible for developing scalable AI pipelines that ensure high performance and seamless integration with both cloud and on-premises environments. Additionally, this role will involve implementing MLOps best practices, optimizing AI model performance, and deploying intelligent applications. In this role, you will: - Develop, fine-tune, and deploy AI/ML models and LLM-based applications for real-world use cases. - Build and optimize retrieval-augmented generation (RAG) systems using Vector Databases such as ChromaDB, Pinecone, and FAISS. - Work on LLM fine-tuning, embeddings, and prompt engineering to enhance model performance. - Create end-to-end AI solutions with APIs using frameworks like FastAPI, Flask, or similar technologies. - Establish and maintain scalable data pipelines for training and inferencing AI models. - Deploy and manage models using MLOps best practices on cloud platforms like AWS or Azure. - Optimize AI model performance for low-latency inference and scalability. - Collaborate with cross-functional teams including Product, Engineering, and Data Science to integrate AI capabilities into applications. Qualifications: Must Have: - Proficiency in Python - Strong hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Good to Have: - Experience with LLM fine-tuning, embeddings, and transformers. - Knowledge of NLP, vector search technologies (ChromaDB, Pinecone, FAISS, Milvus). - Experience in building scalable AI models and data pipelines with Spark, Kafka, or Dask. - Familiarity with MLOps tools like Docker, Kubernetes, and CI/CD for AI models. - Hands-on experience in cloud-based AI deployment using platforms like AWS Lambda, SageMaker, GCP Vertex AI, or Azure ML. - Knowledge of prompt engineering, GPT models, or knowledge graphs. What's in it for you - Competitive Salary & Full Benefits Package - PTOs / Medical Insurance - Exposure to cutting-edge AI/LLM projects in an innovative environment - Career Growth Opportunities in AI/ML leadership - Collaborative & AI-driven work culture Entra Solutions is an equal employment opportunity employer, and we welcome applicants from diverse backgrounds. Join us and be a part of our dynamic team driving innovation in the FinTech industry.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Drive the strategic vision for AI/ML initiatives and align them with the company's broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

NTT DATA is looking for a Systems Integration Specialist to join their team in Bangalore, Karntaka (IN-KA), India. As a Systems Integration Specialist, your main responsibility will be to build machine learning models for predicting asset health, process anomalies, and optimizing operations. You will also work on sensor data pre-processing, model training, and inference deployment. Collaboration with simulation engineers for closed-loop systems will also be a part of your role. The ideal candidate should have 4-6 years of experience and possess the following skills: - Experience in time-series modeling, regression/classification, and anomaly detection. - Familiarity with Python, scikit-learn, TensorFlow/PyTorch. - Experience with ML Ops on Azure ML, Databricks, or similar. - Understanding of manufacturing KPIs such as OEE, MTBF, and cycle time. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in more than 50 countries and a strong partner ecosystem, NTT DATA offers services including business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, as well as development, implementation, and management of applications, infrastructure, and connectivity. As a part of the NTT Group, which invests significantly in R&D, NTT DATA is at the forefront of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to be part of an inclusive and forward-thinking organization, consider applying to NTT DATA for the Systems Integration Specialist role.,

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. Job Description: Campus Hires for Data Scientist / Machine Learning Engineer Role Overview: We are seeking a highly talented individual with strong academic credentials in Data Science specialization areas. You should have good exposure to the Data Science life cycle with academic project experience on examining, statistically interpreting, and deriving meaningful insights from large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a solution using machine-learning algorithms or predictive models for data analysis. You will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and the latest trends and cutting-edge AI model capabilities. Responsibilities: Your technical responsibilities: - Contribute to the design and build of state-of-the-art AI solutions. - Communicate effectively with stakeholders to define and implement AI project goals. - Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. - Conduct research and evaluation of advanced AI techniques. - Ensure compliance with data privacy, security, and ethical considerations in AI applications. - Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs. Requirements: - Bachelor or Master's Degree in Engineering (or equivalent) with specialization in Data Science or AI/ML, Statistics, Economics, or related fields. - Minimum one academic project in Data Science and Machine Learning. - Excellent track record in each semester. - In-depth knowledge of machine learning, deep learning, and generative AI techniques. - Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Good to Have Skills: - Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. - Exposure to any of the AI cloud platforms. - Excellent track record of participation in various AI forums (internal or external). - Strong credentials with good coding standards followed in Git repository.,

As a Senior Data Scientist / AI Engineer with 8-10 years of experience, you will be a vital part of our team working on developing an AI-enabled ERP solution. Your primary responsibilities will include designing scalable AI models, implementing ML pipelines, and exploring the latest AI technologies to drive innovation. Additionally, you will play a crucial role in managing and mentoring a team of data scientists and AI engineers to foster a collaborative and efficient work environment. Your key responsibilities will involve designing and building AI models from scratch, optimizing machine learning algorithms, and integrating them into our ERP solution. You will also be responsible for developing and maintaining an AI development and deployment pipeline using cloud and containerized solutions. Furthermore, conducting R&D activities to identify opportunities for AI-driven automation, working on sentiment analysis, NLP, and computer vision tasks, and deploying ML models while ensuring seamless integration into production systems will be part of your role. Collaboration with product teams to align AI strategies with business objectives, leading and mentoring a team of data scientists and AI engineers, and fostering a collaborative team culture are essential aspects of this role. Your expertise in Python and ML frameworks, strong understanding of ML algorithms, experience with deep learning architectures, NLP, and computer vision, along with hands-on experience in deploying AI models using Flask APIs, Docker, and Kubernetes are critical for success in this position. Preferred skills include knowledge of Java, experience with software development best practices, understanding of SDLC, version control, CI/CD pipelines, and experience with Big Data technologies. If you are passionate about working with AI-driven products and have a proven track record of solving real-world challenges, we are excited to hear from you! This is a full-time position located in Trivandrum/Kochi, with a remote option available initially. If you have a minimum of 8 years of experience in AI, Machine Learning, or Data Science roles, and have worked on AI model deployment or building AI pipelines, we encourage you to apply. Leadership and team management experience, along with the ability to guide and develop junior team members, are essential requirements for this role. Your strong problem-solving skills, ability to articulate AI concepts effectively, and experience in interacting with clients to communicate AI-driven solutions will be highly valued.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

Job Description 1 year of experience developing and training machine learning models using structured and unstructured data. Experience with LLMs, transformers, and generative AI (e.g., GPT, Claude, etc.). Knowledge of AI/LLM stacks such as LangChain, LangGraph, and vector databases. Exposure to conversational interfaces, AI copilots, and agent-based automation. Experience with deploying models in production environments (e.g., MLflow). Strong programming skills in Python (with libraries TensorFlow, PyTorch, scikit-learn, NumPy, etc.). Solid understanding of machine learning fundamentals, deep learning architectures, natural language processing, and computer vision. Knowledge of data processing frameworks (e.g., Pandas, Spark) and databases (SQL, NoSQL).

We are seeking a Data Scientist with over 3 years of experience in Machine Learning, Deep Learning, and Large Language Models (LLMs) to join our team at SparkBrains Private Limited in Chandigarh. As a Data Scientist, you will be responsible for leveraging your analytical skills and expertise in data modeling to develop and deploy AI-driven solutions that provide value to our business and clients. Your key responsibilities will include gathering, cleaning, and preparing data for model training, designing and optimizing machine learning and deep learning models, integrating Large Language Models (LLMs) for NLP tasks, identifying relevant features for model accuracy, conducting rigorous model evaluation and optimization, creating data visualizations and insights for stakeholder communication, developing and deploying APIs, and collaborating with cross-functional teams while documenting processes effectively. To qualify for this role, you must hold a Bachelors or Masters degree in Computer Science, Data Science, AI, Machine Learning, or a related field, along with a minimum of 3 years of experience as a Data Scientist or AI Engineer. You should also possess proficiency in Python and relevant ML/AI libraries, hands-on experience with LLMs, a strong understanding of NLP, neural networks, and deep learning architectures, knowledge of data wrangling and visualization techniques, experience with APIs and cloud platforms, analytical and problem-solving skills, as well as excellent communication skills for effective collaboration. By joining our team, you will have the opportunity to work on cutting-edge AI/ML projects, be part of a collaborative work environment that emphasizes continuous learning, gain exposure to diverse industries and domains, and benefit from competitive salary and growth opportunities. This is a full-time, permanent position with a day shift schedule from Monday to Friday, requiring in-person work at our Chandigarh office.,

Vehant Technologies is an IIT-Delhi incubated technology products firm that was founded in 2005. We are pioneers in Artificial Intelligence/Machine Learning-based Physical Security, Surveillance, and Traffic Monitoring & Junction Enforcement Solutions. Our products are designed and developed in India, manufactured in India and Europe to meet global standards, features, and quality. Our Security Screening Solutions portfolio offers a range of efficient products including Under Vehicle Scanning System, X-ray Baggage Scanner, Explosive Trace Detector, and Automated Number Plate Recognition System. In addition, our Smart & Safe City Solutions feature TrafficMon - a video-based, Artificial Intelligence, and Machine Learning powered traffic enforcement and management solution that detects violations such as Red light jump, Over Speeding, No Helmet riding, Triple Riding, Wrong Lane movement, and various other traffic violations in real-time. Furthermore, our Enterprise Analytics Solutions focus on implementing enterprise data analytics strategies at every level of business. We also offer Covid Safety Solutions including AI-based thermal temperature screening and intelligent analytics Solutions. As a part of our team, your responsibilities will include: - Leading a team of image processing engineers to develop and implement state-of-the-art image processing algorithms and systems - Designing, developing, and optimizing image processing pipelines for various applications - Integrating image processing algorithms into larger systems by collaborating with other teams - Creating and maintaining project plans and timelines - Reviewing and analyzing project requirements, providing technical guidance to the team - Collaborating with researchers and engineers to develop new image processing technologies - Ensuring best practices for software development, code reviews, and testing are followed by the team - Managing and prioritizing project activities, making strategic decisions for successful project completion - Mentoring and training team members for their professional development and growth - Regularly communicating with stakeholders to provide updates, manage expectations, and align with business objectives Qualifications required for this role include: - Bachelor's or master's degree in Computer Science, Electrical Engineering, or related field - Experience in leading a team of engineers - Strong knowledge of image processing algorithms and techniques such as image enhancement, segmentation, and feature extraction - Proficiency in programming languages like C++ or Python - Experience with Image processing libraries such as OpenCV, IPL, etc - Excellent problem-solving skills and ability to work in a fast-paced environment - Strong communication skills and ability to collaborate effectively - Prioritization and project management skills for handling multiple projects simultaneously - Experience with agile development methodologies is a plus - Desirable: Experience with deep learning frameworks such as TensorFlow, PyTorch, etc If you are passionate about image processing and leading a team of talented engineers to develop cutting-edge technology, we encourage you to apply for this exciting opportunity. Please note that this is a work from office role.,

As a Lead AI/ML Researcher, your primary responsibility will be to spearhead the research, design, and development of cutting-edge AI and ML models that power an innovative AI-driven no-code development platform and a scalable AI inference and training orchestration system. Your role involves building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features that align with business objectives. You will be tasked with designing and implementing state-of-the-art machine learning and deep learning models for Natural Language Processing (NLP), computer vision, and generative AI that are relevant to the field of no-code AI coding and AI orchestration platforms. Additionally, you will develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models. It will be crucial for you to architect and oversee end-to-end machine learning pipelines encompassing data processing, training, evaluation, deployment, and continuous monitoring. Collaboration with software engineering teams will be essential to ensure the successful productionization of models, focusing on factors such as reliability, scalability, and performance. Your role will also involve researching and integrating cutting-edge AI techniques and algorithms to uphold product competitiveness. Leading AI research efforts to contribute to intellectual property generation, patents, and academic publications will be a key aspect of your responsibilities. Moreover, you are expected to provide technical leadership and mentorship to junior AI/ML team members and collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features. Keeping abreast of AI research trends and technologies and evaluating their applicability, as well as ensuring compliance with data privacy and security standards in AI model development, will be integral to your role. Additionally, possessing experience with AI-driven no-code platforms, familiarity with AI workflow orchestration frameworks, knowledge of probabilistic modeling and uncertainty quantification, hands-on experience with MLOps tools and practices, familiarity with cloud platforms and container orchestration, contributions to open-source AI projects or patent filings, understanding of AI ethics and data privacy compliance, and a strong academic research background with publications in top-tier AI/ML conferences are considered advantageous skills. Qualifications for this role include a PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning. A strong research publication record in reputable AI/ML conferences, demonstrated experience in developing and deploying deep learning models, proficiency in NLP and/or computer vision, hands-on experience with Python and ML frameworks, experience in building scalable ML pipelines, and knowledge of distributed training, GPU acceleration, and cloud infrastructure are highly desirable. Excellent problem-solving, analytical, and communication skills, along with prior experience in mentoring or leading junior AI researchers/engineers, will be beneficial for this position.,

As an AI/ML Engineer at oCode Technologies in Mohali, you will be a valuable member of our dynamic team, utilizing your expertise in artificial intelligence and machine learning to tackle intricate business challenges. We are looking for a proactive problem-solver with robust technical skills to contribute to our innovative projects. Your primary responsibilities will include designing, building, and optimizing machine learning models and algorithms for various applications like natural language processing, computer vision, recommendation systems, and predictive analytics. You will collaborate with data engineers to acquire and preprocess datasets, implement cutting-edge AI/ML algorithms, deploy models into production environments, and continuously enhance existing models for optimal performance and scalability. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proficiency in programming languages such as Python, R, or Java, along with experience in frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Your strong understanding of machine learning algorithms, deep learning architectures, and statistical methods will be crucial, as well as your ability to handle data preprocessing, feature engineering, and data visualization. Moreover, your familiarity with software development principles, version control, agile methodologies, and your problem-solving skills will be valuable assets. Excellent communication skills, both verbal and written, are required to effectively convey technical concepts to various stakeholders. A collaborative mindset and the ability to work well within a team environment are also essential for success in this role. If you are passionate about AI/ML development and meet the qualifications outlined above, we encourage you to apply now and become a part of our forward-thinking team at oCode Technologies. Please note that this is a full-time position with a salary range of 15,000.00 to 60,000.00 per month, and benefits include health insurance. The job location is in Mohali district, Punjab, and reliable commuting or planning to relocate before starting work is required. The ideal candidate should have at least 1 year of relevant work experience. Join us in leveraging AI/ML innovation to drive impactful solutions at oCode Technologies!,

As a Jr. Software Engineer (AI ML) at SynapseIndia, you will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. With a focus on AI/ML, you will play a crucial role in designing, developing, and deploying machine learning models and AI algorithms using Python and relevant libraries. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Additionally, having 0-2 years of professional experience in Python programming with a specialization in AI/ML is essential. Your strong experience with Python ML libraries such as scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, along with a solid understanding of machine learning algorithms, neural networks, and deep learning will be highly valuable. Furthermore, your proficiency in data manipulation libraries such as Pandas, NumPy, and data visualization tools like Matplotlib, Seaborn, as well as experience with cloud platforms like AWS, GCP, Azure, and deploying ML models using Docker, Kubernetes will be beneficial. Any familiarity with NLP, Computer Vision, or other AI domains will be considered a plus. Your responsibilities will include collaborating with cross-functional teams to gather requirements and translate business problems into AI/ML solutions. You will be optimizing and scaling machine learning pipelines and systems for production, performing data preprocessing, feature engineering, and exploratory data analysis, and implementing and fine-tuning deep learning models using frameworks like TensorFlow, PyTorch, or similar. Additionally, you will be expected to conduct experiments, evaluate model performance using statistical methods, write clean, maintainable, and well-documented code, mentor junior developers, participate in code reviews, and stay up-to-date with the latest AI/ML research and technologies. Ensuring seamless model deployment and integration with existing infrastructure will also be part of your role. If you are a proactive individual with strong problem-solving skills, the ability to work independently and collaboratively, excellent communication skills, and familiarity with REST APIs, microservices architecture, version control systems like Git, MLOps best practices and tools, distributed computing, and big data tools like Spark or Hadoop, we encourage you to apply for this exciting opportunity at SynapseIndia. Join us and be a part of our dynamic team where your contributions are recognized and rewarded, and where you can grow both personally and professionally in a structured, eco-friendly workplace that prioritizes the well-being and job security of its employees.,

We are looking for a passionate and self-motivated AI Intern to join our team at ARK Infosoft. This internship opportunity is perfect for fresh graduates or final-year students who are enthusiastic about applying their knowledge of Artificial Intelligence, Machine Learning, and Data Science to real-world projects. As an AI Intern, you will have the chance to collaborate closely with senior developers and data scientists on a variety of AI-driven applications and innovations. Your responsibilities will include assisting in the design, development, and testing of machine learning models, as well as collecting, cleaning, and preprocessing datasets. Additionally, you will be involved in supporting the implementation of AI models into existing systems or proof-of-concepts, conducting literature reviews, and documenting technical research findings. Collaboration with cross-functional teams on various AI and software projects is also a key aspect of this role, along with staying up-to-date with the latest AI tools, libraries, and research. The ideal candidate should have a basic understanding of AI/ML concepts, algorithms, and applications, along with familiarity with Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Strong analytical and problem-solving skills, good communication abilities, and a willingness to learn and take initiative are essential for success in this position. Preferred qualifications that would be nice to have include knowledge of deep learning, NLP, or computer vision, experience with Git, Jupyter Notebooks, or cloud platforms (e.g., Google Colab, AWS), and participation in AI/ML hackathons, Kaggle competitions, or relevant academic projects. Joining our team at ARK Infosoft, you can look forward to a supportive work environment with benefits such as 5-day working week, paid leave, all leave encashment, health insurance, festival celebrations, employee engagement activities, great workspace, and an annual picnic. Our mission at ARK Infosoft is to empower businesses to grow by providing personalized IT solutions through leveraging the latest technologies, prioritizing our customers, and continually seeking innovative ways to improve. We strive to be the most trusted partner in our clients" journey towards digital advancement, dedicated to excellence, integrity, and social responsibility, creating lasting value for our clients, employees, and communities. Our vision is to establish ARK Infosoft as a leading IT company known for delivering creative solutions that help businesses succeed in today's digital world. We aim to be the preferred partner for all IT needs, fostering growth and prosperity in every industry we serve through innovation, collaboration, and sustainability. Our goal is to drive positive global impact, enabling businesses to thrive in the digital age and shaping a brighter tomorrow for all.,

As an experienced machine learning professional with expertise in deep learning and statistical modeling for earth observation data applications, your key responsibilities will include developing models for segmentation, object classification, crop monitoring, and disaster management. It is essential for you to have proficiency in Python, ML frameworks such as TensorFlow and PyTorch, and strong research skills. An advanced degree is required for this role. SatSure is a deep tech, decision intelligence company that focuses on agriculture, infrastructure, and climate action in the developing world. The company aims to make insights from earth observation data accessible to all. Joining SatSure means being at the forefront of building a deep tech company from India that aims to solve global problems. In this role, you will be responsible for implementing deep-learning models and frameworks for various applications in agriculture and infrastructure using earth observation data. You will design and implement performance evaluation frameworks, explore new methods for improving performance, and build model monitoring and active learning pipelines. Additionally, you will work on solving research problems related to land use and land cover (LULC), crop classification, change monitoring, and disaster management using earth observations. To qualify for this role, you should have a master's degree or PhD in Engineering, Statistics, Mathematics, or Computer Science with 5-8 years of experience in machine learning-based data product research and development. Proficiency in tools and frameworks related to computer science, probability, statistics, learning theory, and deep learning fundamentals is required. Experience with statistical modeling techniques and deep learning models like CNN, RNN, Transformers, and GANs is necessary. You should also be proficient in Python and have hands-on experience in using ML frameworks such as TensorFlow, PyTorch, PyTorch Lightning, and MxNet. Additional qualifications include the ability to design, develop, and optimize machine learning/deep learning models, knowledge of applying ML to earth observation data, and an appetite for research and implementing innovative solutions for complex problems. In addition to a challenging and rewarding work environment, SatSure offers benefits such as medical health cover for you and your family, access to mental health experts, dedicated allowances for learning and skill development, and a comprehensive leave policy. The interview process includes an introductory call, assessment, presentation, multiple interview rounds, and a culture/HR round. Join SatSure to be a part of a dynamic team that is making a positive impact on the world through innovative technology and deep learning solutions.,

OneOrigin is an innovative company based in Scottsdale, AZ and Bangalore, India, dedicated to utilizing the power of AI to revolutionize the operations of Higher Education institutions. Their cutting-edge software solutions aim to streamline administrative processes, enhance student engagement, and facilitate data-driven decision-making for colleges and universities. As an AI Developer at OneOrigin in Bangalore, you will be responsible for creating and implementing advanced AI-driven solutions to empower intelligent products and optimize business operations across various domains. Working closely with data scientists, software engineers, product teams, and stakeholders from different departments, you will design scalable AI systems using cutting-edge machine learning techniques to address complex challenges. Your responsibilities will include designing, developing, and deploying sophisticated AI/ML models for real-world applications, leveraging AI frameworks like TensorFlow, PyTorch, Keras, and Hugging Face Transformers. You will also explore Generative AI applications, manipulate large datasets using tools such as Pandas, NumPy, SQL, and Apache Spark, and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes. Collaboration with cross-functional teams to integrate AI solutions into products, drive experimentation, implement automation opportunities, and stay updated on AI advancements will be key aspects of your role. You are required to have a Bachelor's degree in Computer Science, Engineering, or a related field, along with 5-8 years of hands-on experience in AI/ML development. Proficiency in Python, experience with Deep Learning, NLP, Computer Vision projects, and Cloud platforms (AWS, GCP, Azure) is essential. Your strong problem-solving skills, communication abilities, and expertise in API development will be crucial for successfully tackling complex challenges and collaborating effectively across diverse teams and departments. Join OneOrigin in their mission to make AI accessible and impactful for higher education institutions!,

As a Senior AI Engineer with over 5 years of experience, you will be responsible for leading the design, development, and deployment of advanced AI systems. Your expertise in LLMs, ML pipelines, model optimization, and real-time deployment will be crucial in successfully scaling AI systems in production. Additionally, you will play a key role in fine-tuning large language models, optimizing training pipelines, and owning the end-to-end lifecycle of AI projects from data to deployment. In this role, you will evaluate third-party models and tools to recommend best-fit solutions, collaborate with cross-functional teams to align AI efforts with product goals, and lead junior developers while contributing to architectural decisions. Your strong understanding of NLP, deep learning, and large-scale model architectures, coupled with your proficiency in Python, PyTorch/TensorFlow, and data engineering tools, will be essential in designing and optimizing ML pipelines for performance and scalability. Preferred skills for this role include experience managing AI teams or mentoring juniors, working knowledge of Retrieval-Augmented Generation (RAG) and embeddings, as well as familiarity with CI/CD, Docker, and cloud deployment pipelines. If you are looking for an opportunity to work in Mumbai, Maharashtra, and can join immediately, we invite you to apply for this challenging and rewarding position as a Senior AI Engineer.,

As an AI Developer specializing in Large Language Models (LLMs) at RMgX, a Gurgaon based digital product innovation & consulting firm, your role involves designing, developing, and deploying AI solutions using LLMs such as GPT, LLaMA, Claude, or Mistral. You will fine-tune and customize pre-trained LLMs for business-specific use cases, build and maintain NLP pipelines for classification, summarization, semantic search, etc., and create and manage vector database pipelines using tools like Milvus and Pinecone. Collaboration with cross-functional teams to integrate LLM-based features into applications and analyzing model performance to enhance outcomes will be key responsibilities. To excel in this role, you should have at least 12 years of experience in AI/ML development with a specific focus on NLP and LLM-based solutions. Proficiency in Python and AI/ML libraries such as HuggingFace Transformers, LangChain, PyTorch, TensorFlow, etc., is essential. Additionally, practical experience in working with closed-source models via APIs (e.g., OpenAI, Gemini), understanding of prompt engineering, embeddings, and vector databases like FAISS, Milvus, or Pinecone, and deploying models using REST APIs, Docker, and cloud platforms (AWS/GCP/Azure) are required. Familiarity with MLOps and version control tools (Git, MLflow, etc.), as well as knowledge of LLMOps platforms like LangSmith, Weights & Biases, will be advantageous. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field is preferred. Strong problem-solving skills, attention to detail, and the ability to work in an agile environment are crucial for success in this role. In return for your expertise and dedication, RMgX offers various perks and benefits, including flexible working hours, weekends off, health insurance, personal accident insurance, BYOD (Bring Your Own Device) benefit, and a laptop buyback scheme. Join us at RMgX to contribute to the creation of elegant, data-driven digital solutions for complex business problems and make a meaningful impact through your AI development skills.,