14 Scikitlearn Jobs

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.,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

As a Python Developer specializing in AI and ML, you will play a crucial role in our team located in Guindy, Chennai. Your primary responsibility will be to create Python-based AI/ML models, establish scalable pipelines, and implement intelligent systems to tackle intricate real-world challenges. Your duties will include designing and executing AI/ML models in Python utilizing libraries like TensorFlow, PyTorch, Scikit-learn, or Keras. Additionally, you will fine-tune pre-trained models, write well-documented Python code, and handle large datasets efficiently using tools like Pandas, NumPy, and PySpark. Furthermore, you will be tasked with developing data pipelines, building Python-based APIs for model integration, deploying models with tools like Docker, and optimizing model efficiency using Python techniques. It is essential to stay updated on Python advancements and collaborate with various stakeholders to deliver Python-driven solutions effectively. To be successful in this role, you should hold a degree in Computer Science or related fields, demonstrate expertise in Python programming, possess knowledge of AI/ML frameworks, and exhibit familiarity with data analysis and visualization libraries. Proficiency in version control tools, deploying ML models, and strong problem-solving skills are also essential. Preferred qualifications include proficiency in Python-based Big Data tools, experience with NLP frameworks, and familiarity with MLOps tools. By joining our team, you will have the opportunity to work on impactful AI/ML projects, grow in a collaborative environment, and lead with Python in cutting-edge technologies. If you are passionate about leveraging Python for AI/ML projects, eager to collaborate with a dynamic team, and excited about shaping the future of AI, we look forward to welcoming you on board. To apply, kindly submit your resume and examples of Python-based AI/ML projects to hr@whitemastery.com. This is a full-time, permanent position with a day shift schedule, and the expected start date is 15/04/2025.,