238 Scikitlearn Jobs

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

Phonologies, a leading provider of speech technology and voice bots in India, is seeking individuals to join the team and revolutionize the delivery of conversational AI and voice bots over the phone. Our innovative solutions are seamlessly integrated with top contact center providers, telephony systems, and CRM systems. We are on the lookout for dynamic and skilled specialists to contribute to the development of our cutting-edge customer interaction solutions. As part of our team, you will be involved in developing and implementing machine learning models for real-world applications. Ideal candidates should possess a minimum of 5 years of experience and demonstrate proficiency in Python, scikit-learn, as well as familiarity with tools such as MLFlow, Airflow, and Docker. You will collaborate with engineering and product teams to create and manage ML pipelines, monitor model performance, and uphold ethical and explainable AI practices. Essential skills for this role include strong capabilities in feature engineering, ownership of the model lifecycle, and effective communication. Please note that recent graduates will not be considered for this position. In our welcoming and professional work environment, your role will offer both challenges and opportunities for growth. The position will be based in Pune. If you believe your qualifications align with our requirements, we encourage you to submit your resume (in .pdf format) to Careers@Phonologies.com. Additionally, kindly include a brief introduction about yourself in the email. We are excited to learn more about you and potentially welcome you to our team!,

You are a highly skilled AI/ML/Gen AI Data Scientist with expertise in Generative AI, Machine Learning, Deep Learning, and Natural Language Processing (NLP). You have a strong foundation in Python-based AI frameworks and experience in developing, deploying, and optimizing AI models for real-world applications. Your responsibilities include developing and implementing AI/ML models, working with Deep Learning architectures like Transformers (BERT, GPT, LLaMA) and CNNs/RNNs, fine-tuning and optimizing Large Language Models (LLMs) for various applications, designing and training custom Machine Learning models using structured and unstructured data, leveraging NLP techniques such as text summarization and Named Entity Recognition (NER), implementing ML pipelines, and deploying models in cloud environments (AWS/GCP/Azure). You will collaborate with cross-functional teams to integrate AI-driven solutions into business applications and stay updated with the latest AI advancements to apply innovative techniques to improve model performance. To qualify for this role, you should have 1 to 3 years of experience in AI/ML, Deep Learning, and Generative AI, strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, Scikit-learn, hands-on experience with NLP models including BERT, GPT, T5, LLaMA, and Stable Diffusion, expertise in data preprocessing, feature engineering, and model evaluation, experience with MLOps, cloud-based AI deployment, and containerization (Docker, Kubernetes), knowledge of vector databases and retrieval-augmented generation (RAG) techniques, ability to fine-tune LLMs and work with prompt engineering, strong problem-solving skills, and the ability to work in agile environments. You should hold a Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, or Information Technology. Preferred skills include experience with Reinforcement Learning (RLHF) and multi-modal AI, familiarity with AutoML, Responsible AI (RAI), and AI Ethics, exposure to Graph Neural Networks (GNNs) and time-series forecasting, contributions to open-source AI projects or research papers. Your skills should encompass Machine Learning (ML), Generative AI, Artificial Intelligence (AI), Python, and Large Language Models (LLM).,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be crucial. Additionally, you will optimize existing AI models for enhanced performance and accuracy. It is essential that you stay informed about the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code to facilitate knowledge sharing and reproducibility will be part of your responsibilities. Moreover, you will mentor junior team members and foster a culture of innovation. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You must have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is required. A solid grasp of machine learning algorithms, data structures, and software engineering principles is essential. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, is preferred. Hands-on experience in NLP, computer vision, or deep learning applications is a plus. Strong problem-solving and analytical skills, along with excellent communication and collaboration abilities, are necessary for this role. While a PhD in an AI/ML-related field is not mandatory, it would be advantageous. Experience in deploying models in production environments using CI/CD pipelines is a plus. Any contributions to open-source AI/ML projects or publications in esteemed journals/conferences will be highly regarded. Please note that the above description is referenced from hirist.tech.,

As an AI/ML Developer at our company in Meerut, you will utilize your 2 to 5 years of hands-on experience to design, build, and deploy machine learning models. Your main responsibilities will include developing models for various tasks like classification, regression, clustering, or NLP/computer vision. You will collaborate with cross-functional teams to understand business requirements and implement AI/ML solutions accordingly. Your expertise in Python libraries such as Pandas, NumPy, and Scikit-learn will be crucial in cleaning, preprocessing, and analyzing large datasets. Additionally, you will work with deep learning frameworks like TensorFlow, PyTorch, or Keras to fine-tune models for optimal performance, accuracy, and scalability. Developing APIs or services for model deployment and monitoring post-deployment performance will also be part of your responsibilities. To excel in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. Your strong proficiency in Python and experience with ML algorithms and evaluation metrics will be essential. Exposure to deep learning frameworks and tools like Flask, FastAPI, Docker, or AWS SageMaker will be advantageous. Knowledge of SQL, NoSQL databases, version control tools like Git, and cloud platforms like AWS/GCP/Azure will also be beneficial. Keeping yourself updated with the latest advancements in AI/ML research and techniques is encouraged to contribute effectively to our projects. If you are passionate about leveraging AI and ML technologies to drive innovation and solve real-world problems, we invite you to join our dynamic team and make a meaningful impact in the field.,

This internship offers you a unique opportunity to contribute to the development of cutting-edge tools in aviation safety and data analysis, leveraging the power of Machine Learning. Your mission during this internship is to develop an interactive tool for mapping Flight Data Recorders (FDR) parameters based on Systems and subsystems. This will require you to become familiarized with the system-wide functionality of Airbus aircraft, codify potentially-affected parameters for a given incident to map the fault propagation tree, conduct research on, and ultimately implement, the most appropriate Machine Learning algorithm(s) for this time-series application, and build data visualization and user-interface tools. By the end of this internship, you will have delivered a robust tool that provides an exhaustive list of FDR parameters along with a practical representation of the impact on systems related to a particular fault. Additionally, you will have created a first-order proof of concept demonstrating the applicability of Machine Learning techniques in this space through a limited-scope use case. Required Skills: - Strong programming skills in Python. Knowledge of key machine learning libraries (Scikit-learn, Tensorflow) and scientific computing libraries (e.g., SciPy) is an asset. - Experience with Machine Learning (ML) for time-series applications, including exposure to supervised and unsupervised learning algorithms, an understanding of data preprocessing, feature engineering, and data visualization methods. - Experience with data visualization libraries (e.g., Matplotlib, Plotly, D3.js). - Familiarity with UI/UX design principles for intuitive interfaces would be a plus. This internship is ideal for students pursuing degrees in Computer Science, Aerospace Engineering, Data Science, or related fields, with a keen interest in aviation data, artificial intelligence, and software development. This job requires an awareness of potential compliance risks and a commitment to act with integrity as the foundation for the Company's success, reputation, and sustainable growth. Company: Airbus India Private Limited Employment Type: Internship Experience Level: Student Job Family: Testing By submitting your CV or application, you are consenting to Airbus using and storing information about you for monitoring purposes related to your application or future employment. This information will only be used by Airbus. Airbus is committed to equal opportunities for all and will never ask for any monetary exchange during the recruitment process. Any impersonation of Airbus for such requests should be reported to emsom@airbus.com. At Airbus, we support you to work, connect, and collaborate more easily and flexibly. We foster flexible working arrangements wherever possible to stimulate innovative thinking.,

We are seeking a highly skilled Data Scientist to join our AI Center of Excellence (CoE) in Pune. In this role, you will work with complex financial datasets, develop machine learning models, and provide data-driven insights to support business decisions and product innovation. The ideal candidate will be hands-on, analytical, and dedicated to solving real-world problems using data. Required Skills & Experience: - 4-6 years of proven experience in Data Science, preferably in finance or FinTech. - Strong coding skills in Python, R, and SQL. - Experience with machine learning frameworks like Scikit-learn, TensorFlow, or PyTorch. - Solid foundation in statistical modeling, data analysis, and deep learning. - Familiarity with cloud platforms such as AWS, Azure, or GCP. - Proficiency in data visualization tools like Power BI, Tableau, or Matplotlib. - Excellent communication skills for presenting data-driven insights effectively. Preferred Qualifications: - Master's or Bachelor's degree in Data Science, Computer Science, Statistics, or related field. - Exposure to NLP, generative AI, or large language models. - Experience with MLOps practices for deploying and monitoring models. Key Responsibilities: - Analyze large-scale financial datasets to identify insights and trends. - Develop and deploy machine learning models for predictive analytics. - Translate business challenges into data science problems and propose solutions. - Collaborate with product and business teams to implement data-driven features. - Communicate analytical findings clearly through visualizations for non-technical stakeholders. - Explore and adopt emerging tools, techniques, and best practices in AI/ML continuously. This position is based in Pune and requires immediate joining. Hybrid or in-office availability is expected as per project requirements. GlobalLogic offers a culture of caring, learning and development opportunities, interesting & meaningful work, balance and flexibility, and a high-trust environment. We are committed to continuous growth and creating innovative solutions with our clients. Join us to be part of a global digital engineering partner known for impactful and cutting-edge solutions.,

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

As a Data Scientist at Rockwell Automation, you will be part of an analytics team working alongside engineers, product managers, and partners to drive AI-powered features for the platform. Collaborating with process engineers and operations leads, you will be responsible for developing predictive-maintenance models, enhancing throughput and yield, and implementing cost-saving strategies across manufacturing lines. Your role will involve managing end-to-end projects, including scoping data-collection architectures, prototyping machine-learning solutions, deploying models into the IIoT platform, and establishing real-time monitoring dashboards. Additionally, you will mentor junior analysts, engage in pilot projects with R&D, and contribute to shaping the roadmap for advanced-analytics capabilities. If you enjoy tackling complex industrial challenges, translating diverse data sources into actionable business insights, and evolving as a trusted analytics partner for clients, Rockwell Automation offers an environment where you can advance both your career and your clients" success. Reporting to the Lead Sr Solution Architect, you will be based at our Electronics City office in Bengaluru, following a hybrid work model. Your Responsibilities: - Leading end-to-end data-science projects by defining hypotheses, designing experiments, building features, training models, and deploying them in production. - Collaborating with Engineering to integrate ML services into the microservices architecture and with Marketing for A/B testing data-driven campaigns. - Creating scalable ETL pipelines and designing data schemas to support analytics and modeling at scale. - Developing monitoring dashboards and automated retraining workflows to ensure model accuracy. Essential Qualifications: - 6-10 years of experience in Python, SQL, Pandas, scikit-learn, and PySpark. - Proficiency in supervised and unsupervised ML techniques, advanced statistics, computer vision, and generative-AI projects. - Familiarity with Docker, Kubernetes, cloud ML platforms, and communicating data insights effectively. Preferred Qualifications: - Familiarity with BI tools, MLOps frameworks, FastAPI, and Linux environments. What We Offer: - Comprehensive benefits package including mindfulness programs, volunteer time off, donation matching, employee assistance programs, wellbeing initiatives, and professional development resources. - Commitment to fostering a diverse, inclusive, and authentic workplace. At Rockwell Automation, we value diversity and encourage candidates who are interested in the role to apply even if their experience does not align perfectly with every qualification listed. You might be the ideal fit for this position or other opportunities within the organization.,

As an AI/ML Engineer, your primary responsibility will be to collaborate effectively with cross-functional teams, including data scientists and product managers. Together, you will work on acquiring, processing, and managing data for the integration and optimization of AI/ML models. Your role will involve designing and implementing robust, scalable data pipelines to support cutting-edge AI/ML models. Additionally, you will be responsible for debugging, optimizing, and enhancing machine learning models to ensure quality assurance and performance improvements. Operating container orchestration platforms like Kubernetes with advanced configurations and service mesh implementations for scalable ML workload deployments will be a key part of your job. You will also design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment. Engaging in advanced prompt engineering and fine-tuning of large language models (LLMs) will be crucial, with a focus on semantic retrieval and chatbot development. Documentation will be an essential aspect of your work, involving the recording of model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC. Researching and implementing cutting-edge LLM optimization techniques such as quantization and knowledge distillation will be part of your ongoing tasks to ensure efficient model performance and reduced computational costs. Collaborating closely with stakeholders to develop innovative natural language processing solutions, with a specialization in text classification, sentiment analysis, and topic modeling, will be another significant aspect of your role. Staying up-to-date with industry trends and advancements in AI technologies and integrating new methodologies and frameworks to continually enhance the AI engineering function will also be expected of you. In terms of qualifications, a Bachelor's degree in any Engineering stream is required, along with a minimum of 4+ years of relevant experience in AI. Proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) is essential. Experience with LLM frameworks, big data processing using Spark, version control, and experiment tracking, as well as proficiency in software engineering and development, DevOps, infrastructure, cloud services, and LLM project experience are also necessary. Your expertise should include a strong mathematical foundation in statistics, probability, linear algebra, and optimization, along with a deep understanding of ML and LLM development lifecycle. Additionally, you should have expertise in feature engineering, embedding optimization, dimensionality reduction, A/B testing, experimental design, statistical hypothesis testing, RAG systems, vector databases, semantic search implementation, and LLM optimization techniques. Strong analytical thinking, excellent communication skills, experience translating business requirements into data science solutions, project management skills, collaboration abilities, dedication to staying current with the latest ML research, and the ability to mentor and share knowledge with team members are essential competencies for this role.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

As a Senior AI Engineer / Data Scientist at our cutting-edge Ed-Tech company based in Delhi, you will play a crucial role in designing, developing, and deploying advanced AI/ML models that have a significant impact on our business. Your focus will be on utilizing AI technologies to enhance education through various initiatives such as automated question generation, assessment engines, personalized learning solutions, AI tutors, and auto-grading of answer sheets. Your key responsibilities will include designing, optimizing, and implementing AI and machine learning models tailored specifically for Ed-Tech use cases. This will involve working on projects related to question generation, auto-evaluation systems, adaptive learning engines, AI tutors, and automated answer sheet grading. Additionally, you will be responsible for integrating AI models with frontend interfaces and backend server logic, handling both structured and unstructured data using SQL and NoSQL databases, and ensuring high standards of data security, privacy, and compliance. To succeed in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with 4-6 years of hands-on experience in AI/ML development. You should have a strong background in Generative AI, time series forecasting, recommendation systems, and real-world AI solutions, as well as proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn. Knowledge of machine learning algorithms, data structures, model tuning, and evaluation metrics is essential, and experience with Knowledge Graphs and Docker deployments would be beneficial. Furthermore, you should be adept at developing and maintaining microservices-based architectures, possess strong testing skills using platforms like unittest, and excel in communication, documentation, and team collaboration. Prior experience in Ed-Tech or deploying AI solutions in production environments, as well as active contributions to open-source projects or a well-maintained GitHub portfolio, would be considered advantageous. If you are passionate about leveraging AI to solve real-world challenges in the education sector and thrive in a collaborative, innovative environment, we would love to hear from you. Join our team and be part of revolutionizing education through AI-driven technologies.,

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

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.,

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.,

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.,

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.,

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.,

As an Operations Research Scientist at Tredence, your main responsibilities will involve performing data analysis and interpretation. This includes analyzing large datasets to extract meaningful insights and using Python to process, visualize, and interpret data in a clear and actionable manner. Additionally, you will be tasked with developing and implementing mathematical models to address complex business problems, as well as improving operational efficiency. You should have the ability to use solvers like CPLEX, Gurobi, FICCO Xpress, and free solvers like Pulp and Pyomo. Applying optimization techniques and heuristic methods to devise effective solutions will be a key part of your role, along with designing and implementing algorithms to solve optimization problems. Testing and validating these algorithms to ensure accuracy and efficiency are also important tasks. Collaboration and communication are essential skills in this role, as you will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to understand requirements and deliver solutions. Presenting findings and recommendations to both technical and non-technical audiences will be part of your regular interactions. To qualify for this position, you should have a Bachelor's or Master's degree in operations research, applied mathematics, computer science, engineering, or a related field. A minimum of 3-8 years of professional experience in operations research, data science, or a related field is required. Proficiency in Python, including libraries such as NumPy, pandas, SciPy, and scikit-learn, as well as Pulp and Pyspark, is necessary. A strong background in mathematical modeling and optimization techniques, experience with heuristic methods and algorithm development, and the ability to analyze complex datasets and derive actionable insights are also important technical skills. Furthermore, excellent communication skills, both written and verbal, and the ability to work effectively both independently and as part of a team are essential soft skills for this role. Preferred qualifications include experience with additional programming languages or tools such as AMPL, LINGO, and AIMMS, as well as familiarity with machine learning techniques and their applications in operations research. About Tredence: Tredence, founded in 2013, is dedicated to transforming data into actionable insights for over 50 Fortune 500 clients in various industries. With headquarters in San Jose and a presence in 5 countries, Tredence's mission is to be the world's most indispensable analytics partner. By blending deep domain expertise with advanced AI and data science, Tredence aims to drive unparalleled business value. Join Tredence on this innovative journey and contribute to the impactful work being done in the analytics field.,

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.,

At Capgemini Engineering, the world leader in engineering services, a global team of engineers, scientists, and architects collaborate to empower the world's most innovative companies to reach their full potential. From cutting-edge technologies like autonomous cars to life-saving robots, our digital and software technology experts are known for their out-of-the-box thinking, providing unique R&D and engineering services across various industries. Embark on a career with us, where every day presents new opportunities to make a meaningful difference. As a part of our team, you will be responsible for developing and implementing techniques and analytics applications that convert raw data into valuable insights using data-oriented programming languages and visualization software. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large datasets, both structured and unstructured. Visualize, interpret, and report data findings, and potentially create dynamic data reports. We are currently seeking a highly experienced AI/ML Solution Architect to take the lead in designing and implementing scalable, enterprise-grade AI and machine learning solutions. The ideal candidate should possess a solid background in data science, cloud computing, and AI/ML frameworks, demonstrating the ability to translate business requirements into technical solutions effectively. **Primary Responsibilities:** - Design and architect end-to-end AI/ML solutions customized to meet specific business needs. - Lead the development and deployment of machine learning, deep learning, and generative AI models. - Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders. - Ensure seamless integration of AI models into existing systems and workflows. - Conduct architecture reviews, performance tuning, and scalability assessments. - Stay abreast of the latest trends, tools, and technologies in the field of AI/ML. **Primary Skills (Must-Have):** - Strong expertise in AI/ML algorithms, encompassing deep learning, NLP, and computer vision. - Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn. - Experience with cloud platforms, particularly Azure (mandatory); familiarity with AWS/GCP is desirable. - Hands-on experience with LLMs (e.g., Azure OpenAI, Mistral) and GenAI deployment. - API development using FastAPI, Flask; integration with third-party tools (e.g., SharePoint, SNOW). - Solid understanding of data security (at rest and in motion) and data flow diagrams. **Secondary Skills (Good-to-Have):** - UI development using Angular, Streamlit, HTML, CSS, and JavaScript. - Experience with containerization tools like Docker, Azure Container Registry/Instance. - Familiarity with monitoring tools such as Splunk and NewRelic. - Knowledge of Agentic AI, RAG (Retrieval-Augmented Generation), and MFA (Multi-Factor Authentication). - Cost estimation and infrastructure planning for AI deployments (on-prem/cloud). **Qualifications:** - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 12-14 years of experience in AI/ML solution development and architecture. - Excellent communication and stakeholder management skills. Join Capgemini, a global partner in business and technology transformation, dedicated to accelerating organizations" transition to a digital and sustainable world while delivering tangible impact for enterprises and society. With a diverse team of over 340,000 members across 50 countries, Capgemini is a trusted leader with a heritage spanning more than 55 years. Clients rely on Capgemini to unlock technology's value and address their entire business needs, offering end-to-end services and solutions with expertise in AI, generative AI, cloud, and data, supported by industry knowledge and a strong partner ecosystem.,