327 Scikitlearn Jobs - Page 13

As a Python Developer, you will collaborate closely with the engineering team to design, develop, and deploy software solutions, primarily focusing on Agentic AI applications. Your role involves contributing to the creation of intelligent systems that operate autonomously and make data-driven decisions. This hands-on position requires a combination of technical skills and a passion for building innovative AI-driven products. Your key responsibilities will include developing and maintaining Python-based applications that emphasize Agentic AI models and solutions. You will work alongside data scientists and machine learning engineers to integrate AI models into production systems. Additionally, you will design, implement, and test software that interacts with large datasets, applying Agentic AI techniques to enhance decision-making processes. Your role will also involve optimizing and scaling AI systems to ensure high performance and reliability, as well as integrating AI solutions with various platforms and tools for end-to-end product deployment. Participation in code reviews, debugging, and troubleshooting will be essential to maintain a high standard of code quality. It is crucial to stay updated with the latest advancements in Agentic AI, machine learning, and Python technologies to continually enhance development processes. The required skills and qualifications for this role include a minimum of 2 years of professional experience in Python development. Hands-on experience with Agentic AI, such as reinforcement learning, decision-making algorithms, and autonomous systems, is essential. A strong understanding of AI models and their real-world applications is necessary, along with familiarity with Python libraries like TensorFlow, PyTorch, scikit-learn, and NumPy. Proficiency in working with APIs, databases, and version control systems like Git is also required. Strong problem-solving abilities and a drive to create scalable and efficient systems are key qualities for this position. Effective communication skills are essential to collaborate successfully with cross-functional teams. Preferred qualifications for this role include experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying Python-based applications. Knowledge of agent-based modeling and multi-agent systems, as well as familiarity with Docker, Kubernetes, or other containerization technologies, would be advantageous.,

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we invite you to join us on our innovative journey. Your primary responsibilities will include researching, designing, and fine-tuning machine learning models, with a specific focus on LLMs and Agentic AI systems. You will collaborate with software engineers and product teams to integrate AI models into customer-facing applications, perform data preprocessing and exploratory data analysis, and design robust model deployment pipelines. Additionally, you will prototype innovative solutions using cutting-edge techniques like reinforcement learning and generative AI, while also providing technical mentorship to junior team members. To excel in this role, you should have proficiency in Python for machine learning tasks, expertise in ML frameworks like PyTorch and TensorFlow, and a solid understanding of LLMs such as GPT and BERT. Experience with NLP tasks, deep learning architectures, and data manipulation tools is essential. Familiarity with cloud services, deployment tools, and additional skills like Agentic AI exposure and MLOps tools would be advantageous. In addition to technical skills, you should possess a strong analytical and mathematical background, solid understanding of algorithms and data structures, and the ability to handle large datasets using distributed frameworks. Soft skills such as problem-solving, communication, and collaboration are also crucial for success in this role. If you are a self-motivated individual with excellent critical-thinking abilities and a continuous learning mindset, we look forward to having you contribute to our team at Tecblic.,

As an AI Developer, you will be responsible for designing, developing, optimizing, and implementing AI systems to meet business requirements. You will monitor the performance of deployed scalable AI models and frameworks, making necessary adjustments or updates to enhance accuracy and reliability. In case of any issues or bugs during operation, you will address them promptly. Collaborating with cross-functional teams, you will analyze business needs, define problems, and identify the goals and requirements of AI systems. Working closely with the development team, you will ensure seamless AI development and integration. You will define APIs and protocols for communication between AI systems and external services. It will also be part of your responsibility to document AI models and infrastructure, processes, and practices for reference. You will present progress to the leadership team and stakeholders. Implementing strong data security and privacy measures for data handled in AI applications will be crucial. Staying current with emerging AI research and technologies is essential. You will initiate innovative solutions and improvements to advance our AI capabilities. Additionally, you will conduct training sessions and share knowledge and expertise in AI with the team. Requirements: - Bachelor's degree in Computer Science, IT, Data Science, or related field - 1-2 years of experience in AI development, Natural Language Processing, and Large Language Models - Proven track record of deploying AI models in production - Proficiency in programming languages such as Python, JavaScript, or C++ - Experience in JAVA is a plus - Knowledge of SQL and NoSQL databases - Experience with machine learning frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn) - Familiarity with machine learning models & algorithms, cloud computing platforms (AWS, Microsoft Azure, Google Cloud Platform), containerization (Docker, Kubernetes), deep learning, Natural Language Processing (NLP), and/or Natural Language Generation (NLG) - Eagerness to learn and continuously expand knowledge in emerging fields - Strong interpersonal and communication skills with a willingness to collaborate with different teams.,

As a Machine Learning Engineer at our company based in Coimbatore, Tamil Nadu, India, your primary responsibility will be to design, implement, and deploy machine learning models. You will work closely with data scientists to transition prototypes into production-ready systems. Managing and automating the end-to-end machine learning lifecycle will be a key part of your role. Your duties will include implementing continuous integration and continuous deployment (CI/CD) pipelines customized for machine learning workflows. Monitoring the real-time performance of deployed models, managing model drift, and executing retraining strategies will also be crucial aspects of your responsibilities. Ensuring reproducibility, traceability, and versioning for machine learning models and datasets will be essential. Additionally, you will be tasked with optimizing the machine learning infrastructure for enhanced performance, scalability, and cost-efficiency. It will be important to stay abreast of the latest trends and tools in the field of machine learning and MLOps to continuously improve our practices. To excel in this role, you will need strong programming skills, particularly in Python, along with familiarity with ML frameworks such as TensorFlow and PyTorch. Experience with data processing tools like Pandas and Scikit-learn, as well as CI/CD tools like Jenkins or GitLab CI, will be beneficial. Proficiency in containerization technologies like Docker, orchestration tools like Kubernetes, and ML model versioning tools like MLflow or DVC is also desired. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure and their ML deployment services will be advantageous. The ideal candidate will have previous experience in a machine learning or data science role, along with expertise in advanced monitoring and logging tools tailored for ML models. Possessing certification or training in MLOps, machine learning, or related fields, as well as a background in software development or software engineering, will be beneficial. Familiarity with CRM & ERP systems and their data structures, along with a strong understanding of the latest machine learning trends and techniques, is highly valued. In this role, you will have the opportunity to work with a team of smart individuals in a friendly and open culture. There are no cumbersome managers or unnecessary tools to deal with, and rigid working hours are not a part of our work environment. You will have real responsibilities and the chance to expand your knowledge across various business sectors. By creating content that benefits our users on a daily basis, you will face real challenges in a rapidly evolving company environment.,

As a Machine Learning Engineer at our company located in Coimbatore, Tamil Nadu, India, you will play a crucial role in developing, validating, and implementing machine learning models and algorithms. Your main responsibilities will include analysing large and complex datasets to derive actionable insights and collaborating with cross-functional teams to seamlessly integrate models into our products and services. It will be essential for you to stay updated with the latest techniques in statistical modeling and machine learning to ensure we are leveraging cutting-edge technologies. To excel in this role, you must have proven experience in machine learning algorithms and statistical modeling. Proficiency in Python is a must, along with familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas. Additionally, experience with cloud platforms is required, with expertise in Google Cloud being preferred, though experience with AWS or Azure is also valuable. Your strong analytical and problem-solving skills will be put to the test, and your excellent communication abilities will be crucial in explaining complex models to non-technical stakeholders. In addition to the technical requirements, having previous experience in ERP systems and familiarity with big data technologies like Hadoop and Spark will be advantageous. An advanced degree in Computer Science, Statistics, or a related field is also a key qualification for this position. What makes this job great is the opportunity to work with a team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or cumbersome tools, and rigid working hours will not be a concern. At our company, you will have real responsibilities and the chance to expand your knowledge across various business industries. Your work will involve creating content that directly impacts our users on a daily basis, presenting you with real responsibilities and challenges in a fast-evolving company. Join us in this exciting role where you can contribute to cutting-edge machine learning projects and be part of a dynamic and innovative team.,

The ideal candidate for this position will be responsible for understanding business problems and formulating analytical solutions. You will apply machine learning, data mining, and text mining techniques to develop scalable solutions for various business challenges. You will also be involved in speech to text translation for Video/Audio NLP Analysis and generative AI application for Market Research data. Additionally, you will solve problems using advanced AI techniques, including GenAI methods, by designing NLP/LLM/GenAI applications/products with robust coding practices. Experience in LLM models like PaLM, GPT4, and Mistral is preferred. You will be expected to train, tune, validate, and monitor predictive models, as well as analyze and extract relevant information from large amounts of historical business data in structured and unstructured formats. Furthermore, you will establish scalable, efficient, automated processes for large-scale data analyses and develop and deploy Data Science models on cloud platforms like GCP, Azure, and AWS. Working with large, complex data sets using tools such as SQL, Google Cloud Services, Hadoop, Alteryx, and Python will be part of your daily responsibilities. Preferred qualifications for this role include 2+ years of experience in market research, data mining, statistical analysis, Gen AI, modeling, deep learning, optimization, or similar analytics. Additionally, having 2+ years of work experience with Python, SQL, and/or visualization/dashboard tools like Tableau, PowerBI, or Qliksense is desired. Comfort with working in an environment where problems are not always well-defined and the ability to effectively advocate technical solutions to various audiences are also important. Candidates with 3-4 years of industry experience and a Bachelor's or Master's degree in a quantitative field such as Statistics, Computer Science, Economics, Mathematics, Data Science, or Operations Research are required for this position. You should have 3+ years of experience using SQL for acquiring and transforming data, as well as experience with real-world data, data cleaning, data collection, or other data wrangling challenges. Knowledge in fundamental text data processing and excellent problem-solving, communication, and data presentation skills are essential. Moreover, you should be flexible to work on multiple projects/domains/tools, possess collaborative skills to work with business teams, and be comfortable coding in Tensorflow and/or Pytorch, Numpy, and Pandas, Scikit-learn. Experience with open-source NLP modules like SpaCy, HuggingFace, TorchText, fastai.text, and others is beneficial. Proven quantitative modeling and statistical analysis skills, along with a proactive and inquisitive attitude towards learning new tools and techniques, are highly valued.,

You should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Additionally, you should possess proven experience (1-3 years) in machine learning, data science, or AI roles. Proficiency in programming languages like Python, R, or Java is essential. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn is required. A strong understanding of algorithms, data structures, and software design principles is also necessary. Familiarity with cloud platforms like AWS, Azure, and big data technologies such as Hadoop and Spark is preferred. Excellent problem-solving skills, analytical thinking, communication, collaboration skills, and the ability to work methodically and meet deadlines are important attributes. Your responsibilities will include developing and implementing machine learning models and algorithms for various applications, collaborating with cross-functional teams to understand project requirements and deliver AI solutions, preprocessing and analyzing large datasets to extract meaningful insights, designing and conducting experiments to evaluate model performance and fine-tune algorithms, deploying machine learning models to production ensuring scalability and reliability, staying updated with the latest advancements in AI and machine learning technologies, documenting model development processes, maintaining comprehensive project documentation, participating in code reviews, providing constructive feedback to team members, and contributing to the continuous improvement of our AI/ML capabilities and best practices. Join our fast-paced team of like-minded individuals who share the same passion as you and tackle new challenges every day. Work alongside an exceptionally talented and intellectual team, gaining exposure to new concepts and technologies. Enjoy a friendly and high-growth work environment that fosters learning and development. We offer a competitive compensation package based on experience and skill. This is a full-time position with day shift, fixed shift, and morning shift schedules available. The ideal candidate should have a total of 3 years of work experience and be willing to work in person.,

As a Lead AI Engineer at our company, you will be responsible for managing projects, clients, and teams with ease while inspiring confidence. You will have the opportunity to work with foreign clients and diverse cross-functional teams. We are seeking an individual with proven experience as an AI Developer, possessing a strong understanding of machine learning algorithms such as regression, clustering, neural networks, and decision trees. In this role, you will work with AI/ML frameworks like TensorFlow, PyTorch, Keras, and be proficient in programming languages such as Python, R, or other languages used for AI development. Familiarity with data science libraries like Pandas, NumPy, and Scikit-learn is essential. Knowledge of NLP, computer vision, or reinforcement learning would be a plus. Experience with cloud platforms like AWS, Azure, and Google Cloud, as well as deploying AI solutions in production, is also required. Your responsibilities will include developing, training, and optimizing machine learning models and AI systems. You will collaborate with data scientists, software engineers, and product managers to integrate AI models into existing applications. Building AI-powered tools, platforms, and applications will be a key part of your role. You will research and implement machine learning algorithms for classification, prediction, recommendation, and NLP, while also monitoring model performance and performing necessary tuning and updates. As a Lead AI Engineer, you will be expected to write clean, scalable, and efficient code for AI algorithms, stay updated with the latest AI/ML trends, tools, and frameworks, and conduct data preprocessing and feature engineering to ensure data quality for AI applications. Troubleshooting AI-related issues, improving model accuracy, and communicating effectively with external partners, customers, and product owners will also be part of your responsibilities. The ideal candidate will have an innovative and detail-oriented approach to problem-solving, excel at communicating with internal teams and external partners, and be a resourceful problem solver capable of finding solutions and navigating challenges in ambiguous situations. If you are passionate about AI engineering and possess the required skills and experience, we encourage you to apply for this exciting opportunity.,

You are looking for a Senior Cloud Engineer Fullstack to join our team at Navi Mumbai. As a Senior Cloud Engineer Fullstack, you will be responsible for designing and developing scalable and robust backend services. Your expertise in backend development, proficiency in backend programming languages such as Node.js, Python, or JavaScript, and experience with frameworks like NestJS, Express.js, or Django will be crucial for this role. You must have a strong understanding of Microservices Architecture, including designing and implementing microservices architectures. Your knowledge of service discovery, API gateways, and distributed tracing will be essential. Additionally, you should be proficient in designing, building, and maintaining RESTful and GraphQL APIs, along with experience in API security, rate limiting, and authentication mechanisms such as JWT and OAuth. Database management is another key aspect of this role, requiring strong knowledge of relational databases like PostgreSQL, MySQL, and NoSQL databases like MongoDB. Experience in database schema design, optimization, and management will be beneficial. Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud is a must, along with expertise in integrating AI and ML models into backend services. Good to have skills include proficiency in DevOps tools like Docker and Kubernetes, familiarity with CI/CD pipelines and tools such as Azure Devops and GitHub Actions, and experience in building or working with AI assistants or voice-activated systems. Knowledge of speech-to-text (STT) and text-to-speech (TTS) technologies, Large Language Models (LLMs), performance optimization, and frontend technologies like HTML5, CSS, JavaScript, ReactJs, Next.js, redux, and JQuery will be an added advantage. In terms of soft skills, you should possess strong analytical and problem-solving skills, excellent teamwork and collaboration skills, and strong verbal and written communication skills. Your ability to troubleshoot complex issues, work effectively with cross-functional teams, and articulate technical concepts to non-technical stakeholders will be valuable for this role. As a Senior Cloud Engineer Fullstack, your responsibilities will include designing and developing scalable backend services, integrating AI and ML models, API management, database handling, cloud deployment, collaboration with frontend developers, data scientists, and product managers, and continuous improvement by staying updated with emerging technologies and proposing innovative solutions. Join us at Jio Tesseract, a company on a mission to democratize mixed reality in India. Our recent products include Jioglass, a virtual reality eyewear designed and built by Tesseract for real-time connectivity. Tesseract develops technology for AR and VR-oriented products like cameras, headsets, and smart glasses. We have launched products such as Methane, a virtual reality 360-degree camera, and Quark, a mixed reality editing and sharing application. As a winner of various innovation awards, Tesseract offers a dynamic and innovative work environment for passionate individuals like you.,

You will be part of a dynamic team at Intellinet Systems, where you will have the opportunity to contribute to groundbreaking solutions from vision to value. You will thrive in a collaborative environment that fosters innovation, creativity, and community engagement. With a minimum of 2-3 years of experience and a graduate degree, you will join us at our Gurgaon, Haryana office for this exciting opportunity. As an AI Developer at Intellinet Systems, your responsibilities will include designing and developing AI models and algorithms to tackle complex business problems. You will utilize machine learning and deep learning techniques to extract insights from large datasets and work closely with cross-functional teams to align AI solutions with business requirements. Data preprocessing, model training, optimization, and deployment into production environments will be key aspects of your role. To excel in this position, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field and have 2-3 years of industry experience in developing AI solutions. Proficiency in Python programming and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are essential. Strong knowledge of machine learning algorithms, statistical analysis, and data preprocessing techniques is required, along with experience in implementing scalable AI solutions with large datasets. Additionally, you should have expertise in data visualization and reporting tools, as well as a good understanding of cloud platforms like AWS, Azure, or Google Cloud for AI deployment. Familiarity with software development practices, version control systems, and problem-solving skills will be beneficial. Effective communication and teamwork abilities are crucial for collaborating with stakeholders and providing technical guidance to junior team members. If you are looking to grow your career in AI development and contribute to innovative solutions, we encourage you to apply for this position by sending your updated CV to hr@intellinetsystem.com with the job code in the subject line. Join us at Intellinet Systems and be a part of our exciting journey towards excellence in AI technology.,

We are looking for a highly skilled AI/ML Engineer with expertise in developing machine learning solutions, utilizing graph databases like Neo4j, and constructing scalable production systems. As our ideal candidate, you should have a strong passion for applying artificial intelligence, machine learning, and data science techniques to solve real-world problems. You should also possess experience in dealing with complex rules, logic, and reasoning systems. Your responsibilities will include designing, developing, and deploying machine learning models and algorithms for production environments, ensuring their scalability and robustness. You will be expected to utilize graph databases, particularly Neo4j, to model, query, and analyze data relationships in large-scale connected data systems. Building and optimizing ML pipelines to ensure they are production-ready and capable of handling real-time data volumes will be a crucial aspect of your role. In addition, you will develop rule-based systems and collaborate with data scientists, software engineers, and product teams to integrate ML solutions into existing products and platforms. Implementing algorithms for entity resolution, recommendation engines, fraud detection, or other graph-related tasks using graph-based ML techniques will also be part of your responsibilities. You will work with large datasets, perform exploratory data analysis, feature engineering, and model evaluation. Post-deployment, you will monitor, test, and iterate on ML models to ensure continuous improvement in model performance and adaptability. Furthermore, you will participate in architectural decisions to ensure the efficient use of graph databases and ML models, while staying up-to-date with the latest advancements in AI/ML research, particularly in graph-based machine learning, reasoning systems, and logical AI. Requirements: - Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. - 1+ years of experience in AI/ML engineering or a related field, with hands-on experience in building and deploying ML models in production environments and self-made projects using graph databases. - Proficiency in Neo4j or other graph databases, with a deep understanding of Cypher query language and graph theory concepts. - Strong programming skills in Python, Java, or Scala, along with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with machine learning pipelines and tools like Airflow, Kubeflow, or MLflow for model tracking and deployment. - Hands-on experience with rule engines or logic programming systems (e.g., Drools, Prolog). - Experience with cloud platforms such as AWS, GCP, or Azure for ML deployments. - Familiarity with containerization and orchestration technologies like Docker and Kubernetes. - Experience working with large datasets, SQL/NoSQL databases, and handling data preprocessing at scale.,

About us Bain & Company is a global management consulting firm that assists the world's most ambitious change makers in defining the future. With offices in 65 locations across 40 countries, we collaborate with our clients as a unified team, striving to achieve extraordinary results, surpass the competition, and reshape industries. Since our establishment in 1973, we have gauged our prosperity by the achievements of our clients and uphold the highest level of client advocacy in the industry. In 2004, we inaugurated our presence in the Indian market by launching the Bain Capability Center (BCC) in New Delhi, which is now recognized as BCN (Bain Capability Network) with nodes spread across various geographies. BCN serves as a core and largest unit of Expert Client Delivery (ECD), playing a vital role in enhancing Bain's case teams globally by providing analytics and research solutions in all industries, specific domains for corporate cases, client development, private equity diligence, or Bain intellectual property. The BCN encompasses Consulting Services, Knowledge Services, and Shared Services. Who you will work with Bain & Company stands as the foremost consulting partner to the private equity industry and its stakeholders. The Private Equity Group (PEG) at Bain offers comprehensive advisory services to investors throughout the entire investment lifecycle, including pre-investment strategy, due diligence, post-acquisition value creation, and portfolio management. The PEG Innovation Team (PIT) is a specialized division devoted to supporting the private equity sector and its stakeholders. An essential focus area involves harnessing Generative AI to develop innovative solutions that streamline due diligence, automate processes, and enable data-driven decision-making. By integrating expertise in due diligence, operational enhancement, and cutting-edge technologies like Generative AI, PIT empowers private equity clients to achieve superior returns and maintain a competitive edge in the market. What you'll do This role presents an opportunity to be part of the BCN Data business expanding science capability area within the PIT (PEG Innovation Team). Product Support: The primary responsibility of the team will be to support the Beta production of AI applications for PEG (Private Equity Group) as part of Bain's DD2030 (Due Diligence 2030) initiative. Generative AI Focus: The role involves a significant focus on Generative AI applications, aiming to push the boundaries of innovation in the private equity domain. Broader Automation: Additionally, the role may entail contributing to broader PIT automation initiatives aimed at streamlining processes and enhancing efficiency across various stages of the investment lifecycle. The person in this role will need to: - Translate business objectives into data and analytics solutions, and translate results into business insights using appropriate data engineering, analytics, visualization & Gen AI applications. - Utilize Gen AI skills to design and create repeatable analytical solutions to enhance data quality. - Build and deploy machine learning models using Scikit-Learn for various predictive analytics tasks. - Implement and fine-tune NLP models with Hugging Face to tackle complex language processing challenges. - Collaborate with engineering team members on design requirements to transform PoC methods into repeatable data pipelines; collaborate with the Practice team to develop scalable products. - Aid in creating and documenting standard operating procedures for recurring data processes, and establish a knowledge base of data methods. - Stay updated on advancements in AI/ML technologies and best practices in data science, particularly in LLMs and generative AI. About you A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred. 3-5 years of experience in data science & data engineering with hands-on experience in AI/GenAI tools such as Scikit-Learn, LangChain, and Hugging Face. Experience in designing and developing RESTful and GraphQL APIs to facilitate data access and integration. Proficiency in data wrangling in either R or Python is mandatory. Proficiency in SQL is essential, and familiarity with NoSQL data stores is a plus. Familiarity with MLOps practices for model lifecycle management. Experience with Git and modern software development workflow is advantageous. Experience with containerization such as Docker/Kubernetes is beneficial. Proficiency with Agile way of working and tools (Jira, Confluence, Miro). Strong interpersonal and communication skills are imperative. Experience with Microsoft Office suite (Word, Excel, PowerPoint, Teams) is preferred. Ability to explain and discuss Gen AI and Data Engineering technicalities to a business audience. What makes us a great place to work We take pride in consistently being acknowledged as one of the world's best places to work, a proponent of diversity, and a model of social responsibility. Currently ranked as the #1 consulting firm on Glassdoor's Best Places to Work list, we have maintained a position in the top four for the past 12 years. We believe that diversity, inclusion, and collaboration are pivotal in constructing exceptional teams. We recruit individuals with exceptional talents, abilities, and potential, fostering an environment where you can realize your full potential and thrive both professionally and personally. Our commitment to diversity and inclusion has been externally recognized by Fortune, Vault, Mogul, Working Mother, Glassdoor, and the Human Rights Campaign.,

We are looking for a highly experienced Senior AI/ML Engineer with a strong background in cloud infrastructure and IoT to join our dynamic team in Ahmedabad. As an ML Engineer/MLOps Engineer, your primary responsibility will be to lead the design, development, and deployment of AI/ML solutions on cloud platforms, integrate IoT technologies, and drive innovation in intelligent systems. Your role will involve leading the end-to-end development and deployment of AI/ML solutions on cloud platforms such as AWS for applications like predictive analytics, anomaly detection, and intelligent automation. You will also be responsible for integrating IoT sensors, devices, and protocols like MQTT into AI/ML solutions to enable intelligent decision-making, remote monitoring, and control in IoT environments. Additionally, you will architect and optimize cloud infrastructure for AI workloads, design data pipelines for IoT data ingestion, and train machine learning models for various tasks using state-of-the-art algorithms and frameworks like PyTorch. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, is essential to define project requirements, develop prototypes, and deliver scalable AI/ML solutions that align with business objectives. You will need to implement algorithms and models proficiently using programming languages like Python, R, or Java and leverage relevant libraries and frameworks for computer vision tasks. Furthermore, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, along with 3-5 years of proven experience as an AI/ML Engineer. Strong programming skills in Python, familiarity with AI/ML libraries/frameworks, IoT development, containerization, and serverless computing are crucial requirements for this role. A deep understanding of machine learning algorithms, model training, validation, and deployment best practices is also essential. If you are willing to relocate to Ahmedabad and meet the educational and experience requirements mentioned above, we encourage you to apply for this full-time ML Engineer/MLOps Engineer position.,

You should have at least 2 years of experience as a Python Developer with a robust portfolio of projects. A Bachelor's degree in computer science, Software Engineering, or a related field is required for this role. An in-depth understanding of Python software development stacks, ecosystems, frameworks, and tools like Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn, and PyTorch is essential. Additionally, you should have experience in front-end development using HTML, CSS, and JavaScript, along with familiarity with database technologies such as SQL and NoSQL. Strong problem-solving skills, as well as effective communication and collaboration abilities, are also necessary. Preferred skills for this role include experience with the Flask framework, a working understanding of cloud platforms like AWS, Google Cloud, or Azure, and contributions to open-source Python projects or active involvement in the Python community.,

Quale Infotech is a company focused on Intelligent Process Automation (IPA), AI and other new-age technologies. Our AI innovation hub is one of the leading research sites for new age technologies. IPA practice at Quale Infotech is one of the largest and most respected with experts having decades of experience. Your role will be to be a pro-active member of our AI team working with on cutting-edge data science & analytics projects. This role involves leveraging machine learning, artificial intelligence, and big data technologies to build intelligent analytics solutions that drive business insights and decision-making. Key Responsibilities: Design, develop, and implement advanced machine learning models and AI-driven features for an analytics platform. Work with large-scale structured and unstructured data to extract meaningful insights and improve predictive capabilities. Collaborate with software engineers and product teams to integrate AI solutions into the analytics platform. Optimize model performance, scalability, and real-time processing capabilities. Develop and maintain data pipelines for efficient data processing and transformation. Research and stay updated with the latest advancements in AI, machine learning, and data science techniques. Provide technical leadership in best practices for AI/ML model deployment, monitoring, and lifecycle management. Required Skills & Qualifications: Minimum Masters in Data Science, Machine Learning, Computer Science, Mathematics, or a related field. Profeciency in RAG Proficiency in Python, R, or Scala and ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies such as Apache Spark, Hadoop, or Databricks. Strong understanding of NLP, deep learning, reinforcement learning, and AI algorithms. Strong problem-solving and analytical skills with a passion for AI-driven innovation.,

Job Title/Role: Teach Lead [Java & Python] Location: Noida/Delhi NCR Experience : 7- 10 yrs Roles & Responsibilities Understanding the clients business use cases and technical requirements and be able to convert them into technical solutions which elegantly meets the requirements Identifying different solutions and being able to narrow down the best option that meets the business requirements. Develop solution design considering various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Excellent communication and teamwork skills Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Should be confident, self-driven with a lot of initiative, and should have the zeal and energy to quickly ramp-up on upcoming technologies. Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer service. Experience in communicating with end clients, business users, other technical teams and provide estimates. Qualification BTech. Or MCA in computer science More than 7 years of experience working as Java full stack technologist/ - software development, testing and production support & Python programming language and the FastAPI framework. Design / Development experience in Java technical stack, Java/J2EE, Design Patterns, Spring Framework-Core| Boot| MVC /Hibernate, JavaScript, CSS, HTML, Multithreading, Data Structures, Kafka and SQL Experience with data analytics tools and libraries such as pandas, NumPy, and scikit-learn Familiarity in Content Management Tools and, experience with integrating databases both relational (e.g. Oracle, PostgreSQL, MySQL) and non-relational databases (e.g. DynamoDB, Mongo, Cassandra) An in-depth understanding of Public/Private/Hybrid Cloud solutions and experience in securely integrating public cloud into traditional hosting/delivery models with a specific focus on AWS (S3, lambda, API gateway, EC2, Cloudflare) Working knowledge of Docker, Kubernetes, UNIX-based operating systems, and Micro-services Should have clear understating on continuous integration, build, release, code quality GitHub/Jenkins Should have an experience of managing teams and time bound projectsWorking in F&B Industry or Aerospace could be an added advantage,

Data Scientist (5+ Years of Experience) We are seeking a highly motivated Data Scientist with over 5 years of hands-on experience in data mining, statistical analysis, and developing high-quality machine learning models. The ideal candidate will have a passion for solving real-world problems using data-driven approaches and possess strong technical expertise across various data science domains. Key Responsibilities: Apply advanced data mining techniques and statistical analysis to extract actionable insights. Design, develop, and deploy robust machine learning models to address complex business challenges. Conduct A/B and multivariate experiments to evaluate model performance and optimize outcomes. Monitor, analyze, and enhance the performance of machine learning models post-deployment. Collaborate cross-functionally to build customer cohorts for CRM campaigns and conduct market basket analysis. Stay updated with state-of-the-art techniques in NLP, particularly within the e-commerce domain. Required Skills & Qualifications: Programming & Tools: Proficient in Python, PySpark, and SQL for data manipulation and analysis. Machine Learning & AI: Strong experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and expertise in NLP, Computer Vision, Recommender Systems, and Optimization techniques. Cloud & Big Data: Hands-on experience with AWS services, including Glue, EKS, S3, SageMaker, and Redshift. Model Deployment: Experience deploying pre-trained models from platforms like Hugging Face and AWS Bedrock. DevOps & MLOps: Understanding of Git, Docker, CI/CD pipelines, and deploying models with frameworks such as FastAPI. Advanced NLP: Experience in building, retraining, and optimizing NLP models for diverse use cases. Preferred Qualifications: Strong research mindset with a keen interest in exploring new data science methodologies. Background in e-commerce analytics is a plus. If youre passionate about leveraging data to drive impactful business decisions and thrive in a dynamic environment, wed love to hear from you!,

Company Description WonderBiz Technologies Pvt. is dedicated to leveraging technology to help global companies improve operational efficiency and reduce costs. With over 8 years in business, we have developed more than 50 products for 30+ international customers, including Silicon Valley startups and Fortune 100 & 500 companies. Our growth-driven culture provides opportunities to work with a highly skilled development team, led by industry veterans with 20+ years of experience. We invest in our employees" growth to ensure top-notch service delivery to our clients. Role Description This is a full-time, on-site role for a Data Scientist located in Thane. The Data Scientist will be responsible for analyzing large datasets to extract meaningful insights, developing data models, performing statistical analyses, and creating data visualizations. The role will involve collaborating with cross-functional teams to understand business requirements and delivering data-driven solutions to meet those needs. Experience: 5-10 years Location: Thane - On site WFO Qualifications We are looking for a Machine Learning Specialist that will be responsible to do analysis and solving of increasingly complex problems proposing, reviewing, maintaining, and delivering detailed designs and technical solutions for our Product development projects. This role provides opportunities to work on a wide variety of projects covering areas including Edge and Cloud computing, developing distributed and fault tolerant systems, containerization etc. You should also have an in-depth understanding of the underlying technologies, and architectures work in 2020. Strong programming skills with proficiency in at least one programming language (preferred Python). Understanding of basic full-stack development concepts. Applying algorithms to generate accurate predictions, Resolving data set problems, Deep knowledge of math, probability, statistics and algorithms, proven experience for GenAI implementations in at least 1 project. Proficiency in data analysis techniques and tools. Working experience in Experience in implementing LLMs tools Expertise in SciPy for scientific and technical computing. Knowledge and experience in deep learning, TensorFlow, NLP and frameworks. Proficiency in at least one Database Management System (DBMS). Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python and R Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skill. Interested candidate can share their updated CV on manasi.deshmukh@wonderbiz.in,

Dreaming big is at the core of AB InBev's DNA. It defines the company, its culture, heritage, and future. The future at AB InBev is about constant innovation and seeking new ways to enhance life's moments. They are on the lookout for individuals who embody passion, talent, and curiosity. AB InBev provides the necessary support and opportunities for individuals to unleash their full potential, fostering a collaborative environment where the combined strengths create unstoppable power. If you are ready to be a part of a team that dreams as big as you do, then AB InBev welcomes you. AB InBev GCC, established in 2014, serves as a strategic partner for Anheuser-Busch InBev. The center harnesses the potential of data and analytics to drive growth in crucial business functions including operations, finance, people, and technology. The teams at AB InBev are dedicated to transforming operations through technology and analytics. Are you someone who dreams big and is ready to make a difference AB InBev is looking for you to join their team. **Job Title:** Senior ML Engineer **Location:** Bangalore **Reporting to:** Director Data Analytics **Purpose of the role:** AB InBev's Supply Analytics team is focused on developing innovative solutions that optimize brewery efficiency through data-driven insights. By leveraging advanced analytics and AI-driven solutions, the team aims to streamline processes, reduce waste, and enhance productivity. As a Senior ML Engineer, you will be tasked with overseeing the end-to-end deployment of machine learning models on edge devices. Your responsibilities will include model optimization, scaling complexities, containerization, and infrastructure management to ensure high availability and performance. **Key tasks & accountabilities:** - Lead the complete edge deployment lifecycle, from model training to deployment and monitoring on edge devices. - Develop and maintain a scalable Edge ML pipeline for real-time analytics at brewery sites. - Optimize and containerize models using Portainer, Docker, and Azure Container Registry (ACR) for efficient execution in constrained edge environments. - Manage the GitHub repository with well-documented and modularized code for seamless deployments. - Establish robust CI/CD pipelines for continuous integration and deployment of models and services. - Implement logging, monitoring, and alerting for deployed models to ensure reliability and quick failure recovery. - Ensure compliance with security and governance best practices for data and model deployment in edge environments. - Document the thought process and create artifacts for sharing with business and engineering teams. - Review code quality and design developed by peers to ensure high quality and reproducible results. - Mentor junior team members and continuously upskill them. - Maintain basic developer hygiene practices. **Qualifications, Experience, Skills:** - Academic degree in Computer Science, Computer Applications, or a related engineering discipline. - 5+ years of experience in developing scalable and high-quality ML models. - Strong problem-solving skills with a proactive approach to identifying and resolving bottlenecks. - Proficiency in tools like pandas, NumPy, SciPy, scikit-learn, TensorFlow for machine learning. - Good understanding of statistical computing, parallel processing, and memory management in Python. - Experience in code versioning, modularized code base maintenance, and working in an Agile environment. - Proficiency in Docker, Kubernetes, Portainer, and container orchestration for edge computing. - Exposure to real-time analytics, edge AI deployments, DevOps practices, and infrastructure automation. - Contributions to Open Source Software or Stack Overflow are a plus. - Passion for beer and a strong commitment to dreaming big. At AB InBev, the future is built on the foundation of innovation, collaboration, and a shared passion for creating memorable experiences. If you are driven by the desire to make a difference and have a thirst for pushing boundaries, then AB InBev is the place where your aspirations can take flight.,

Expert in Python and SQL for data exploration and modeling. - Strong background in statistical modeling, segmentation, and A/B testing. - Experience with scikit-learn, pandas, Jupyter, and optional tools like Tableau, Looker, or dashboards. - Comfortable working with campaign goals (ROAS, CPA, sales lift) and developing actionable audience insights. Develops insights, audience scoring, and experiment frameworks to identify the highest-performing combinations of segments, channels, and strategies. Design audience insights pipelines using device/app/geo/time/segment data to surface high-performing cohorts. Build LTV, propensity, and uplift models to influence media planning and bidding strategies. Account for seasonal and vertical-specific trends to enrich insights. Define key metrics for optimization (e.g., ROAS, CPA, foot traffic lift). Work closely with traders and marketers to translate business goals into data strategies. Skills: sql,looker,python,segmentation,statistical modeling,pandas,tableau,jupyter,scikit-learn,a/b testing,panda,

Job Title: Machine Learning Engineer Location: Bhubaneswar Experience: 4-8 Years Job Description: We are looking for a talented Machine Learning Engineer with 4-8 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and deploying machine learning models and algorithms to solve complex business problems. You will be responsible for analyzing large datasets, identifying patterns, and creating predictive models to drive business insights and optimization. Key Responsibilities: Develop, implement, and optimize machine learning algorithms to solve business problems. Analyze large datasets to extract valuable insights and patterns for decision-making. Collaborate with cross-functional teams to integrate machine learning solutions into business processes. Conduct model training, evaluation, and fine-tuning to improve accuracy and performance. Stay up-to-date with the latest trends and advancements in machine learning and AI. Must-Have Skills: Strong experience in machine learning frameworks and libraries (TensorFlow, Scikit-learn, Keras, etc.). Proficiency in programming languages like Python or R. Hands-on experience in data preprocessing, feature engineering, and model selection. Knowledge of algorithms for classification, regression, and clustering. Strong understanding of statistics, mathematics, and data modeling. If you are passionate about machine learning and eager to apply your skills to impactful projects, apply now to join our growing team! Job Type: Full-time Schedule: Day shift Morning shift Work Location: In person,

You will be joining TekWissen as an AI Specialist/Engineer based in Chennai. Your primary focus will be on building and deploying AI-powered Copilots, intelligent agents, and chatbots. Leveraging your expertise in AI techniques such as natural language processing (NLP), generative AI, and cognitive automation, you will develop solutions to enhance user experience, automate tasks, and provide intelligent assistance. Your responsibilities will include understanding business requirements, designing and implementing AI models, and deploying them, thus directly impacting our AI initiatives within a focused timeframe. Your key responsibilities will involve designing, developing, and deploying AI-powered Copilots and intelligent agents to automate tasks, provide proactive assistance, and enhance user productivity. Additionally, you will build and deploy chatbots using NLP techniques for conversational interfaces in various applications. You will be required to gather requirements, translate them into technical specifications for AI models and applications, develop and fine-tune AI algorithms and models, and integrate AI solutions with existing systems deploying them in production environments. Furthermore, you will conduct experiments to evaluate AI model performance and optimize them for accuracy, efficiency, and scalability. To excel in this role, you should possess knowledge in developing and deploying AI solutions using NLP, generative AI, and cognitive automation. You must have proven experience in building and deploying chatbots and/or intelligent agents, proficiency in programming languages such as Python, R, or similar languages commonly used in AI development, exposure to AI frameworks and libraries like TensorFlow, PyTorch, scikit-learn, and familiarity with cloud computing platforms such as AWS, Azure, GCP for deploying AI models in production environments. Ideally, you should have experience in chatbot development, Co-Pilot experience using Python, and hold a Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, or a related field. TekWissen Group is an equal opportunity employer that supports workforce diversity.,

You are an experienced professional with over 13 years of experience in engaging with clients and translating their business needs into technical solutions. You have a proven track record of working with cloud services on platforms like AWS, Azure, or GCP. Your expertise lies in utilizing AWS data services such as Redshift, Glue, Athena, and SageMaker. Additionally, you have a strong background in generative AI frameworks like GANs and VAEs and possess advanced skills in Python, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow. Your role involves designing and implementing advanced AI solutions, focusing on areas like NLP and innovative ML algorithms. You are proficient in developing and deploying NLP models and have experience in enhancing machine learning algorithms. Your knowledge extends to MLOps principles, best practices, and the development and maintenance of CI/CD pipelines. Your problem-solving skills enable you to analyze complex data sets and derive actionable insights. Moreover, your excellent communication skills allow you to effectively convey technical concepts to non-technical stakeholders. In this role, you will be responsible for understanding clients" business use cases and technical requirements, translating them into technical designs that elegantly meet their needs. You will be instrumental in mapping decisions with requirements, identifying optimal solutions, and setting guidelines for NFR considerations during project implementation. Your tasks will include writing and reviewing design documents, reviewing architecture and design aspects, and ensuring adherence to best practices. To excel in this position, you should hold a bachelor's or master's degree in computer science, Information Technology, or a related field. Additionally, relevant certifications in AI, cloud technologies, or related areas would be advantageous. Your ability to innovate, design, and implement cutting-edge solutions will be crucial in this role, as well as your skill in technology integration and problem resolution through systematic analysis. Conducting POCs to validate suggested designs and technologies will also be part of your responsibilities.,

Looking for a highly motivated and self-driven AI Experienced Leader to head the AI and Gen AI practice and solution with the objective of designing and implementing AI and Gen AI based solutions for customers" business problems. As an AI Solution Consultant, you will be responsible for understanding customer needs and proposing AI and Gen AI empowered practical in-depth solutions for solving business problems. Additionally, as an AI Practice Head, you will be required to research industry evolution in AI and Gen AI areas to identify practical differentiating solutions for solving business problems through AI and Gen AI. In the role of AI Solution Architect, you will define the architecture, design the solutions, and implement AI and Gen AI based solutions for customer programs. You will also be expected to inspire, mentor, and build a strong Data Scientist practice & delivery team to execute complex AI and Gen AI programs for various customers. Conducting architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers will be part of your responsibilities. Furthermore, applying statistics, modeling, and machine learning to enhance the efficiency of systems and relevance algorithms across our business application products. Requirements: - Bachelor's degree or Master's degree in Computer Science / AIML / Data Sciences - 10+ years of overall experience with hands-on experience in designing and implementing Machine Learning models, Deep Learning models for solving business problems - Expertise in R, Python (NumPy, Scikit-learn + Pandas), TensorFlow, PyTorch or MLlib and LLM solutions - Excellent problem-solving and analytical skills with the ability to translate business requirements into data science solutions - Good experience in building complex and scalable Machine Learning solutions and practically using them in production - Experience with scripting in SQL for extracting large datasets and designing ETL flows - Deep interest and aptitude in data, metrics, analysis, trends, and applied knowledge of measurement, statistics, and program evaluation - Capability of translating analysis results into business recommendations - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.,

You will be responsible for designing machine learning systems and implementing machine learning algorithms and tools. Your role will involve managing research and development processes to align with the AI strategy, developing machine learning applications based on project requirements and business goals, and conducting tests and statistical analysis to optimize machine learning systems. Additionally, you will select datasets, extend existing machine learning libraries, and train systems as needed. Working closely with engineering and leadership teams, you will contribute to functional design, prototyping, testing, and training of AI/ML solutions. Providing guidance on technology, strategy, and policy issues related to AI/ML will be part of your responsibilities. Collaboration with development teams to define application requirements, writing scalable Python code, testing and debugging applications, developing back-end components, and integrating user-facing elements will also be key aspects of your role. Reprogramming databases for improved functionality, developing tools to monitor online traffic, and creating production-quality machine learning pipelines with a focus on performance, scalability, reliability, and maintainability are important tasks. You will also be involved in building components and libraries to enhance existing solutions and facilitate the delivery of new ones. To succeed in this role, you should have at least 3 years of experience applying AI practically, with expertise in deep learning, NLP, and TensorFlow. Proficiency in writing robust code in Python, Java, and/or R, along with experience in REST API development, NoSQL database design, and RDBMS design and optimizations, is required. Strong knowledge of algorithms, object-oriented and functional design principles, data structures, data modeling, software architecture, math, probability, statistics, and machine learning frameworks is essential. Familiarity with machine learning libraries like scikit-learn, excellent communication skills, and strong analytical abilities are also necessary. A Bachelor's degree in a relevant technology field and experience working with cloud environments are preferred qualifications for this position.,