327 Scikitlearn Jobs - Page 6

You will be joining the Microsoft Security organization, where security is a top priority due to the increasing digital threats, regulatory scrutiny, and complex estate environments. Microsoft Security aims to make the world a safer place by providing end-to-end security solutions to empower users, customers, and developers. As a Senior Data Scientist, you will be instrumental in enhancing our security posture by developing innovative models to detect and predict security threats. This role requires a deep understanding of data science, machine learning, and cybersecurity, along with the ability to analyze large datasets and collaborate with security experts to address emerging threats and vulnerabilities. Your responsibilities will include understanding complex cybersecurity and business problems, translating them into well-defined data science problems, and building scalable solutions. You will develop and deploy production-grade AI/ML systems for real-time threat detection, analyze large datasets to identify security risks, and collaborate with security experts to incorporate domain knowledge into models. Additionally, you will lead the design and implementation of data-driven security solutions, mentor junior data scientists, and communicate findings to stakeholders. To qualify for this role, you should have experience in developing and deploying machine learning models for security applications, preferably in a Big Data or cybersecurity environment. You should be familiar with the Azure tech stack, have knowledge of anomaly detection and fraud detection, and possess expertise in programming languages such as Python, R, or Scala. A Doctorate or Master's Degree in a related field, along with 5+ years of data science experience, is preferred. Strong analytical, problem-solving, and communication skills are essential, as well as proficiency in machine learning frameworks and cybersecurity principles. Preferred qualifications include additional experience in developing machine learning models for security applications, familiarity with data science workloads on the Azure tech stack, and contributions to the field of data science or cybersecurity. Your ability to drive large-scale system designs, think creatively, and translate complex data into actionable insights will be crucial in this role.,

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. Must have experience with Machine Learning Model Development. Expert Level Proficiency in Data Handling (SQL). Hands-on with Model Engineering and Improvement. Strong experience in Model Deployment and Productionalization. Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains. Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost, and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. We recognise the significance of flexible work arrangements to provide support in a hybrid mode, you will get an environment to maintain a healthy work-life balance. Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning. 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.,

As a member of the 7-Eleven Global Solution Center team, you will have the opportunity to take ownership and responsibility within specific product areas, contributing to end-to-end solution delivery. You will support local teams and integrate new digital assets while challenging yourself to work on products deployed across a vast network of convenience stores processing over a billion transactions annually. Your role will involve building scalable solutions to address the diverse needs of 84,000+ stores in 19 countries. At 7-Eleven GSC, you will experience growth through cross-functional learning opportunities and be encouraged to embody leadership and service in meeting the needs of customers and communities. We are guided by our Leadership Principles at 7-Eleven, each of which is associated with specific behaviors that help us serve customers and support stores effectively. As a part of the team, you will be expected to be customer-obsessed, courageous in expressing your views, challenge the status quo, act like an entrepreneur, maintain a can-do attitude, do the right thing, and be accountable for your actions. 7-Eleven Global Solution Center is currently seeking a highly skilled senior AI/ML engineer to design, implement, and deploy innovative and efficient AI/ML solutions. The ideal candidate will possess extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems, and cloud platforms such as Azure and AWS. You will be responsible for building AI-driven applications and optimizing Langchain, Gen AI, and NLP models for specific use cases. Additionally, you will experiment with different machine learning models, propose feasible solutions quickly, and communicate effectively with leadership. The qualifications required for this role include 3-5 years of experience in AI/ML engineering, proficiency in Python and machine learning frameworks like TensorFlow and PyTorch, expertise in Generative AI, NLP, and conversational AI technologies, and experience in building and deploying AI-powered applications at scale. You should also have a strong understanding of machine learning algorithms, structured and unstructured data, model evaluation metrics, and business requirements translation into technical requirements. A bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field is necessary, along with familiarity with Git versioning tools and exposure to the retail industry. At 7-Eleven Global Solution Center, we are committed to diversity in the workplace and focus on workplace culture, diverse talent, and our engagement with the communities we serve. We embrace diversity, equity, and inclusion as a business imperative, recognizing the importance of these aspects for our customers, franchisees, and employees. In addition to a challenging and rewarding career, 7-Eleven Global Solution Center offers a comprehensive benefits plan to improve the overall experience of our employees. This plan includes flexible work schedules, diverse leave options, medical coverage for family members, transportation, cafeteria facilities, certification and training programs, and support for employee relocation to Bangalore, India.,

As a Senior Analyst - Data Analytics, you will leverage your 3+ years of experience in Data Analytics and reporting to design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Your strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R will be instrumental in performing advanced data analysis and visualization to support business decision-making. You will utilize your experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue to develop and maintain data pipelines and queries using SQL and Python. Applying data science techniques such as predictive modeling, classification, clustering, and regression, you will solve business problems and uncover actionable insights. Your hands-on experience in building and deploying machine learning models will be crucial in building, validating, and tuning machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Collaborating with stakeholders, you will translate business questions into data science problems and communicate findings in a clear, actionable manner. You will use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Documenting data science workflows and maintaining the reproducibility of experiments and models will ensure the success of analytics projects. Additionally, you will support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts. Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics Specialty are preferred or in progress to enhance your expertise in the field.,

As a skilled and visionary AI Lead at Matellio, you will be responsible for driving the development of advanced AI solutions. This dual role will require you to provide technical leadership and hands-on development expertise, making it an ideal position for individuals who excel at solving complex problems using machine learning, NLP, and LLM technologies. Your key responsibilities will include leading and mentoring a team of 45 AI/ML engineers, overseeing the entire project lifecycle from research to production deployment. You will be tasked with designing and owning high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaboration with sales and business development teams to create technical proposals, solution designs, and architecture diagrams for Sales Qualified Leads (SQLs) will also be part of your role. Additionally, you will work as an individual contributor when necessary, focusing on developing key components of solutions to accelerate delivery and establish best practices. Your responsibilities will extend to researching, designing, and implementing machine learning and deep learning models, including fine-tuning and deploying LLMs like GPT and BERT for production use cases. Building NLP pipelines and retrieval-augmented generation (RAG) systems using tools such as LangChain, LangGraph, and vector databases like FAISS, Pinecone, and Weaviate will also be crucial. You will be expected to apply statistical techniques to feature engineering, model evaluation, and performance optimization, ensuring adherence to code quality, testing, CI/CD, and documentation standards. Staying up-to-date with the latest advancements in AI/ML and proposing innovative solutions will be essential. Conducting code reviews, promoting peer learning, and fostering a strong engineering culture will also be part of your responsibilities. To qualify for this role, you should hold a Bachelors, Masters, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. Additionally, you should have at least 7 years of hands-on experience in AI/ML model development and deployment. Proven expertise in leading technical teams and delivering production-grade AI/ML solutions is required. Strong architectural skills with experience in designing end-to-end solutions involving cloud, APIs, and ML models are essential. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is necessary, along with hands-on experience in NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs, as well as building GenAI solutions, is expected. Familiarity with tools like LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone) will be advantageous. A solid understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to utilize them, experience deploying models and services using REST APIs, Docker, and CI/CD pipelines, and exposure to cloud platforms such as AWS, GCP, or Azure are highly desirable. Excellent analytical thinking, problem-solving, and communication skills will be crucial for success in this role.,

This internship offers 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 for this internship is to develop an interactive tool for mapping Flight Data Recorders parameters based on Systems and subsystems. To excel in this internship, you will need to become familiarized with the system-wide functionality of Airbus aircraft. Your tasks will include codifying the potentially-affected parameters for a given incident to map the fault propagation tree, conducting research on, and ultimately implementing, the most appropriate Machine Learning algorithm(s) for this particular time-series application, as well as building 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 how and what all systems are impacted with respect to a particular fault. Additionally, you will have provided a first-order proof of concept of the applicability of Machine Learning techniques in this space as demonstrated by 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.,

We are seeking a skilled and driven AI Developer to create, implement, and launch advanced machine learning models and artificial intelligence solutions. The ideal candidate will possess strong programming abilities, a profound comprehension of machine learning algorithms, and proficiency in model deployment and refinement. Your primary responsibilities will include crafting and executing ML models and AI solutions utilizing suitable algorithms, examining extensive datasets to extract valuable patterns for business decisions, and refining machine learning models to ensure optimal performance. You will also be involved in constructing pipelines for data preprocessing, model training, testing, and deployment, as well as integrating ML models into production through REST APIs, Docker, or cloud services (e.g., AWS SageMaker, GCP AI Platform, Azure ML). Monitoring and enhancing model accuracy, scalability, and dependability post-deployment will also be part of your duties. Collaboration with cross-functional teams comprising product, engineering, and data science professionals to incorporate ML solutions into existing systems is crucial. You will be expected to research and implement new AI methodologies while staying abreast of the latest trends in the field. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and libraries like TensorFlow, PyTorch, and Scikit-learn is essential. A solid grasp of supervised, unsupervised, and reinforcement learning techniques is required, along with experience in NLP, computer vision, or time-series forecasting projects. Familiarity with data processing tools such as Pandas, NumPy, and SQL is expected, as well as knowledge of statistics, linear algebra, and probability theory. Experience in deploying models using Flask/FastAPI, Docker, and CI/CD pipelines is preferred. Familiarity with cloud platforms like AWS, GCP, or Azure, as well as proficiency in version control systems (Git) and collaborative tools like JIRA and Confluence, are advantageous. Hands-on experience with MLOps practices, model monitoring tools, Hugging Face Transformers, OpenCV, YOLO, and similar tools will be beneficial. Participation in Kaggle competitions, published papers, or GitHub AI/ML projects is considered a strong advantage. This is a full-time position located in Nagpur with a salary as per market standards. The ideal candidate should have 2-4 years of experience and be below 35 years old. Educational requirements include a Bachelors or Masters degree or equivalent in a relevant field. Proficiency in English and Hindi is required. Please note that there are no specific perks and benefits mentioned for this position.,

As an AI/ML Intern at Varaha, you will be part of a dedicated team of researchers and engineers focused on developing machine learning and deep learning solutions to support sustainable agricultural practices and climate action. This role will provide you with practical exposure to working with diverse datasets and scalable AI systems that aim to make a global impact. Your responsibilities will include designing and implementing machine learning and deep learning models using Python. You will also be involved in data cleaning, preprocessing, and analysis of both structured and unstructured datasets. Additionally, you will have the opportunity to train and assess models using popular libraries such as PyTorch or TensorFlow. Your contributions will extend to internal research, model benchmarking, and collaborative experimentation. It will be essential to document your experiments, code, and results to ensure reproducibility and facilitate collaboration within the team. To excel in this role, you should possess a strong foundation in Python programming and a solid understanding of fundamental machine learning algorithms and concepts such as regression and classification. Familiarity with deep learning techniques and neural networks is also required, along with experience using ML/DL libraries and tools like scikit-learn, pandas, NumPy, PyTorch, or TensorFlow. In terms of qualifications, you should be currently pursuing or have recently completed a B.Tech in Computer Science or a related field from IITs exclusively. Alternatively, you could hold a Master's degree in Computer Science, Data Science, AI, or related disciplines from a recognized institution. Candidates with additional experience in ML competitions or contributions to ML research will be preferred. An interest or background in areas like Natural Language Processing (NLP), Computer Vision, or MLOps will also be advantageous. Exposure to climate or geospatial datasets will be considered a plus. By joining Varaha, you will become part of a dynamic, international team that values ambition and innovation. You can expect mentorship from a diverse, impact-oriented team and the chance to work on real-world AI systems that address climate change. The work environment is characterized by collaboration and creativity, providing you with a platform to grow and contribute meaningfully. Please note that this job description may not encompass all the activities, duties, or responsibilities associated with the role. Responsibilities and tasks may be subject to change at any time, with or without prior notice.,

DecisionX is pioneering a new category with the world's first Decision AI, an AI Super-Agent that assists high-growth teams in making smarter, faster decisions by transforming fragmented data into clear next steps. Whether it involves strategic decisions in the boardroom or operational decisions across various departments like Sales, Marketing, Product, and Engineering, down to the minutiae that drives daily operations, Decision AI serves as your invisible co-pilot, thinking alongside you, acting ahead of you, and evolving beyond you. We are seeking a dedicated and hands-on AI Engineer to join our Founding team. In this role, you will collaborate closely with leading AI experts to develop the intelligence layer of our exclusive "Agentic Number System." Key Responsibilities - Building, fine-tuning, and deploying AI/ML models for tasks such as segmentation, scoring, recommendation, and orchestration. - Developing and optimizing agent workflows using LLMs (OpenAI, Claude, Mistral, etc.) for contextual reasoning and task execution. - Creating vector-based memory systems utilizing tools like FAISS, Chroma, or Weaviate. - Working with APIs and connectors to incorporate third-party data sources (e.g., Salesforce, HubSpot, GSuite, Snowflake). - Designing pipelines that transform structured and unstructured signals into actionable insights. - Collaborating with GTM and product teams to define practical AI agent use cases. - Staying informed about the latest developments in LLMs, retrieval-augmented generation (RAG), and agent orchestration frameworks (e.g., CrewAI, AutoGen, LangGraph). Must Have Skills - 5-8 years of experience in AI/ML engineering or applied data science. - Proficient programming skills in Python, with expertise in LangChain, Pandas, NumPy, and Scikit-learn. - Experience with LLMs (OpenAI, Anthropic, etc.), prompt engineering, and RAG pipelines. - Familiarity with vector stores, embeddings, and semantic search. - Expertise in data wrangling, feature engineering, and model deployment. - Knowledge of MLOps tools such as MLflow, Weights & Biases, or equivalent. What you will get - Opportunity to shape the AI architecture of a high-ambition startup. - Close collaboration with a visionary founder and experienced product team. - Ownership, autonomy, and the thrill of building something from 0 to 1. - Early team equity and a fast growth trajectory.,

As an AI/ML Trainer at our institution in Bhubaneshwar, you will be responsible for delivering comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science to students enrolled in B.Tech, MCA, and M.Sc-IT courses. Your role will involve equipping students with both theoretical knowledge and practical skills essential for industry readiness. Your key responsibilities will include delivering engaging lectures on topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. You will ensure that students gain conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Additionally, you will be expected to continuously update teaching content to align with industry trends and technological advancements. Apart from teaching, you will also be involved in conducting applied research in AI/ML, staying updated with the latest advancements in the field, and supporting students in research and innovation projects. Providing mentorship to students working on AI/ML internships, final year projects, or competitions will be an integral part of your role. Collaboration is key in this position, as you will collaborate with academic peers and industry experts to enhance the AI/ML curriculum and establish connections with AI/ML startups or companies for student internships and collaborative projects. Professional development is encouraged, and you will have the opportunity to participate in workshops, webinars, and conferences to stay abreast of the evolving AI landscape. To qualify for this role, you should possess a Masters degree in Artificial Intelligence, Computer Science, Data Science, or a related field, along with 6 months to 1 year of experience. A strong background in Machine Learning, Deep Learning, and proficiency in Python-based AI tools is essential. Prior teaching or corporate training experience would be highly beneficial. The ideal candidate will demonstrate expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn, along with a strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Excellent communication and presentation skills, analytical thinking, and problem-solving abilities are key competencies required for this role. If you have a passion for teaching and mentoring future AI professionals, we encourage you to apply and be a part of our dynamic and innovative educational environment where you can shape the future of AI/ML professionals while engaging in real-world problem-solving and research-driven teaching. This position offers a competitive salary and benefits package, providing you with the opportunity to make a meaningful impact in the field of AI/ML.,

As an AI/ML Developer at our Gurugram location, you will be responsible for designing and implementing end-to-end machine learning models using Python for various tasks such as regression, classification, clustering, NLP, and deep learning. Your expertise in developing AI applications based on Machine Learning and Large Language Model (LLM) using tools like LangChain, RAG pipelines, vector databases, and more will be crucial in driving AI innovation. You will work on building and deploying AI applications leveraging technologies such as Retrieval Augmented Generation (RAG), LangChain, LLMs (OpenAI, Huggingface Transformers), and Vector Databases (FAISS, Pinecone, Milvus). Your role will involve developing robust pipelines for semantic search and retrieval chains in real-world production systems, writing clean and efficient Python code, and collaborating with cross-functional teams to deliver scalable AI/ML solutions. If you have front-end skills in React, it would be considered a big plus as you may also contribute to UI components for interactive AI applications. To be successful in this role, you should have at least 5 years of hands-on experience in AI/ML development using Python and a strong knowledge of ML algorithms such as XGBoost, SVM, Random Forests, Logistic Regression, as well as deep learning models like CNNs, RNNs, Transformers (BERT, GPT), and unsupervised learning techniques including K-Means and PCA. Experience with RAG architecture, LangChain, advanced prompt engineering, vector search techniques, and Python libraries like scikit-learn, TensorFlow, PyTorch, and Huggingface Transformers is essential. Proficiency in working with cloud environments such as AWS, Azure, or GCP is also required. It would be nice to have front-end development experience using React.js, familiarity with MLOps tools like MLflow, Kubeflow, Airflow, and knowledge of self-supervised or contrastive learning methods such as SimCLR and CLIP. In this role, you will have the opportunity to work on cutting-edge AI/ML technologies, collaborate in a fast-paced and innovative environment, contribute to impactful production-level AI solutions, and enjoy competitive compensation and benefits.,

The Data Scientist is expected to harness large volumes of complex data to generate actionable insights that fuel business strategy and innovation. This role requires expertise in advanced statistical methods, machine learning techniques, and data visualization to discover patterns, forecast outcomes, and support data-driven decision-making across the organization. Transforming complex datasets into solutions is a key aspect of the role, leveraging statistical expertise and machine learning to answer crucial business questions. This includes collecting, cleaning, and preprocessing structured and unstructured data from various sources such as databases, APIs, logs, and documents. Investigating data sets to identify patterns, anomalies, trends, and correlations through Exploratory Data Analysis (EDA) is essential for informing hypotheses and model development. Designing, implementing, and fine-tuning statistical and machine learning models for prediction, classification, segmentation, and recommendation tasks is a core responsibility. Evaluating model performance using appropriate metrics and iterating to improve robustness and generalizability is crucial. Translating complex model outputs into intuitive visualizations and business-relevant narratives using tools like Power BI, Tableau, or custom dashboards is important for effective data storytelling and visualization. Presenting findings and actionable recommendations to stakeholders in a clear and compelling manner to enable informed decision-making across departments is a key part of the role. Collaborating closely with business, product, engineering, and operations teams to understand domain-specific challenges and deliver tailored data-driven solutions is essential. Staying updated on the latest developments in data science, AI/ML frameworks, and big data technologies to incorporate cutting-edge methods into workflows is also a required aspect. The ideal candidate should possess deep proficiency in Python or R, along with fluency in SQL and familiarity with core data manipulation libraries such as NumPy, Pandas, and Scikit-learn. The ability to translate complex data outputs into clear, concise, and visually compelling insights for technical and non-technical stakeholders is necessary. A solid grasp of business fundamentals to connect analytical findings with strategic decision-making is crucial, along with having a naturally analytical mindset and a passion for uncovering insights, solving problems, and discovering meaningful patterns within data. Educational qualifications for this role include an advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, or a closely related field. The ideal candidate should have 3+ years of demonstrated experience in data science, showcasing a strong command of statistical modeling and machine learning techniques. The Data Scientist role falls under the Software Division and reports to the CTO Org.,

You should have experience in BI Product Development, specifically with Apache Superset. Hands-on experience with other BI tools like Power BI or Tableau is acceptable if you have strong project-based BI development exposure. It is essential that you have worked on multiple BI projects end-to-end. Advanced proficiency in Python and SQL is a must. You should have used Python for product development or in complex analytics projects. Additionally, you must demonstrate advanced SQL knowledge, such as optimizing queries, working with large datasets, and utilizing stored procedures. Be prepared to provide specific use cases where your Python and SQL expertise was critical. You should have hands-on experience in advanced analytics, including Fraud Analytics, Prediction/Forecasting models, and statistical or machine learning techniques. Familiarity with Pandas, NumPy, Scikit-learn, or similar Python libraries is a plus. Experience in client management is necessary, as you will be expected to manage BI projects for external or internal clients. You should be capable of understanding client requirements, presenting solutions, and effectively managing delivery timelines and stakeholder expectations.,

You are a skilled and motivated AI Developer with over 3+ years of hands-on experience in building, deploying, and optimizing AI/ML models. Your expertise includes strong proficiency in Python, Scikit-learn, machine learning algorithms, and practical experience of Azure AI services, Azure AI foundry, Copilot Studio, and Dataverse are mandatory. You will be responsible for designing intelligent solutions using modern deep learning and neural network architectures, integrated into scalable cloud-based environments. Your key responsibilities will include utilizing Azure AI Foundry and Copilot Studio to build AI-driven solutions that can be embedded within enterprise workflows. You will design, develop, and implement AI/ML models using Python, Scikit-learn, and modern deep learning frameworks. Additionally, you will build and optimize predictive models using structured and unstructured data from data lakes and other enterprise sources. Collaborating with data engineers to process and transform data pipelines across Azure-based environments, you will develop and integrate applications with Microsoft Dataverse for intelligent business process automation. Applying best practices in data structures and algorithm design, you will ensure high performance and scalability of AI applications. Your role will involve training, testing, and deploying machine learning, deep learning, and neural network models in production environments. Furthermore, you will be responsible for ensuring model governance, performance monitoring, and continuous learning using Azure MLOps pipelines. Collaborating cross-functionally with data scientists, product teams, and cloud architects, you will drive AI innovation within the organization. As a qualified candidate, you hold a Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. With 3+ years of hands-on experience in AI/ML development, you possess practical experience with Copilot Studio and Microsoft Dataverse integrations. Expertise in Microsoft Azure is essential, particularly with services such as Azure Machine Learning, Azure Data Lake, and Azure AI Foundry. Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, and NumPy is required. A solid understanding of data structures, algorithms, and object-oriented programming is essential, along with experience in data lakes, data pipelines, and large-scale data processing. Your deep understanding of neural networks, deep learning frameworks (e.g., TensorFlow, PyTorch), and model tuning will be valuable in this role. Familiarity with MLOps practices and lifecycle management on cloud platforms is beneficial. Strong problem-solving abilities, communication skills, and team collaboration are important attributes for this position. Preferred qualifications include Azure AI or Data Engineering certification, experience in deploying AI-powered applications in enterprise or SaaS environments, knowledge of generative AI or large language models (LLMs), and exposure to REST APIs, CI/CD pipelines, and version control systems like Git.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,

You will be joining our team as a Machine Learning / AI expert with 4-7 years of experience, dedicated to creating impactful GenAI solutions using Vertex AI on Google Cloud. If you are passionate about cutting-edge AI/LLM technologies and enjoy driving Proof of Concept (POC) delivery, we are excited to invite you to apply! Your responsibilities will include collaborating with both business and technical teams to define and implement GenAI/ML use cases as POCs. You will be responsible for building and deploying ML/GenAI models on Google Vertex AI, fine-tuning and evaluating LLMs for real-world applications, working closely with data engineers to design secure and scalable ML pipelines, as well as documenting and maintaining reproducible workflows. To succeed in this role, you must possess 4-7 years of hands-on experience in ML/AI project delivery. A strong foundation in machine learning, deep learning, and LLMs is essential. Proficiency with Vertex AI tools such as AutoML, Pipelines, Model Registry, and GenAI Studio is required. Strong Python skills with knowledge of TensorFlow, PyTorch, Hugging Face, and scikit-learn are also crucial. Experience in prompt engineering, model tuning, and evaluation, along with excellent collaboration and communication skills across cross-functional teams, are key attributes we are looking for. Additionally, familiarity with PaLM, Gemini, or other open-source LLMs, knowledge of LangChain, experience with GCP services like BigQuery, Cloud Functions, Cloud Storage, proficiency in CI/CD for ML, and understanding of Docker/Kubernetes are considered as bonus skills. A background in media/OTT/Web platforms and experience with large-scale media datasets would be advantageous for this role.,

As a Data Engineer + Subject Matter Expert in Data Mining at Newton School of Technology, you will play a crucial role in revolutionizing technology education and empowering students to bridge the employability gap in the tech industry. You will have the opportunity to develop and deliver engaging lectures, mentor students, and contribute to the academic and research environment of the Computer Science Department. Your key responsibilities will include developing comprehensive lectures on "Data Mining", BigData, and Data Analytics courses, covering foundational concepts to advanced techniques. You will guide students on the complete data lifecycle, including preprocessing, cleaning, transformation, and feature engineering. Teaching a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detections will be a part of your role. Moreover, you will design practical lab sessions, grade assessments, mentor students on projects, and stay updated with the latest advancements in data engineering and machine learning to ensure the curriculum remains cutting-edge. To excel in this role, you are required to have a Ph.D. or a Master's degree with significant industry experience in Computer Science, Data Science, Artificial Intelligence, or related fields. Your expertise in data engineering and machine learning concepts, proficiency in Python and its data science ecosystem, experience in teaching complex topics at the undergraduate level, and excellent communication skills are essential qualifications. Preferred qualifications include a record of academic publications, industry experience as a Data Scientist or in a similar role, familiarity with big data technologies and deep learning frameworks, and experience in mentoring student teams for data science competitions or hackathons. By joining Newton School of Technology, you will be offered competitive salary packages, access to advanced labs and facilities, and the opportunity to be part of a forward-thinking academic team shaping the future of tech education. If you are passionate about transforming technology education, empowering students, and staying at the forefront of data engineering and machine learning, we are excited about the possibility of you joining our team at Newton School of Technology. For more information about our university, please visit our website: Newton School of Technology.,

As an AI Software Engineer based in Bangalore, you will play a crucial role in developing innovative AI-driven solutions. Your responsibilities will include designing, implementing, and optimizing AI models, integrating them into software applications, and collaborating closely with data scientists and engineers to build scalable AI-powered products. Key Responsibilities: - Design, develop, and deploy AI and machine learning models for real-world applications. - Utilize large datasets to train and fine-tune models, ensuring high accuracy and efficiency. - Build and optimize deep learning architectures using frameworks like TensorFlow, PyTorch, or Scikit-learn. - Develop and maintain AI-driven software applications, integrating models into production environments. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers. - Optimize AI models for performance, scalability, and deployment on cloud platforms (AWS, Azure, GCP). - Implement MLOps best practices for model versioning, deployment, and monitoring. - Stay updated with the latest AI research, tools, and techniques to enhance AI capabilities. Required Qualifications: - Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. - Strong programming skills in Python and Java. - Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. - Knowledge of NLP, Computer Vision, or Reinforcement Learning is a plus. - Hands-on experience with cloud computing (AWS, GCP, Azure) for AI model deployment. - Familiarity with data structures, algorithms, and software development best practices. - Experience with containerization (Docker, Kubernetes) and APIs for model integration. - Strong problem-solving skills and ability to thrive in a fast-paced environment. - Experience with LLMs, Generative AI, or AI-powered automation. - Understanding of AI ethics, bias mitigation, and responsible AI practices. - Knowledge of big data technologies like Hadoop, Spark, or Kafka. Benefits: - Work with cutting-edge technologies and a talented team. - Competitive salary and benefits package. - Enjoy a flexible work environment with growth opportunities. - Access to professional development and learning resources.,

You are a Python - AI/ML Developer joining the team at Vexil Infotech Private Limited in Lucknow. Your primary responsibility will be to develop and maintain software applications using Python. Your role will involve working with Python programming language, frameworks, libraries, and tools. You will be required to debug and troubleshoot existing applications and develop new applications as well. To excel in this role, you must possess a strong knowledge of Python programming language and its associated frameworks, libraries, and tools. Experience with web development frameworks like Django, Flask, and Pyramid is essential. Additionally, proficiency in object-oriented programming, design patterns, and databases such as SQL and Firebase is required. Familiarity with Machine Learning (ML) libraries like TensorFlow, Scikit-learn, YOLO, or PyTorch, as well as Artificial Intelligence (AI) techniques and frameworks, is a plus. As a Python - AI/ML Developer, you will collaborate with cross-functional teams to design efficient software solutions, develop high-quality Python code for various applications, and work with SQL databases for effective data management. Your role will also involve implementing AI/ML algorithms to address real-world business challenges, performing Data Analysis to extract insights from large datasets, and troubleshooting software issues promptly. To be successful in this position, you should stay updated with industry trends and best practices in Python development, AI, and Machine Learning. A Bachelor's degree in Computer Science or a related field is preferred for this role. Vexil Infotech offers a competitive salary and benefits package, a work-life balance of 5.5 days, health insurance, opportunities for professional growth, a friendly work environment, and an attractive incentive and appraisal structure.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

You will need hands-on experience in converting SAS to Python, along with strong mathematics and statistics skills to excel in this role. Additionally, proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., is essential. Your ability to comprehend business requirements and derive use cases and solutions from structured/unstructured data will be crucial. Your responsibilities will include converting SAS to Python code, acquiring the necessary skills for building and deploying machine learning models for production, and engaging in feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning. You will also be expected to develop and deploy cloud-based applications, such as LLM/GenAI, into production. Proficiency in programming languages like SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and expertise in exploratory data analysis, machine learning, deep learning algorithms, model building, hyperparameter tuning, and model performance metrics are required. Knowledge of MLOps, data pipelines, data engineering, statistics, time series modeling, forecasting, image/video analytics, and natural language processing (NLP) will also be advantageous. Experience with ML services from cloud platforms like AWS, GCP, Azure, and Databricks is preferred. Basic knowledge of Databricks and Big Data, including Spark and Hive, is considered an asset. If you are looking to join a dynamic team and work in locations such as Indore, Noida, Gurgaon, Bangalore, or Pune, please share your profiles with details on notice period and compensation.,

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

You should have around 3 years of experience working as an NLP Engineer or in a similar role where you have demonstrated an understanding of NLP techniques for text representation and semantic extraction. Your expertise should also extend to data structures and modeling, enabling you to effectively design software architecture. A deep understanding of text representation techniques like n-grams, bag of words, sentiment analysis, as well as statistics and classification algorithms is essential for this role. Your proficiency in Python is crucial, along with a solid grasp of data structures and algorithms. Experience with Machine Learning Libraries such as scikit-learn, PyTorch, and TensorFlow will be highly beneficial. As a Python AI/ML Developer, you should possess an analytical mind with strong problem-solving abilities to excel in this position.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,