45 Sklearn Jobs

Role Overview: You will be responsible for designing and building machine learning solutions using Python for a US startup. The company focuses on providing a flexible work environment to help parents achieve a work-life balance. As a Python Developer, you will have the opportunity to work remotely from any location with internet access, without the need for long commutes or in-person meetings. Your role will involve working on scalable, supportable, and maintainable Python code, collaborating with development teams, and mentoring junior team members. Key Responsibilities: - Write Python code with a focus on scalability, supportability, and maintainability - Develop, configure, and customize software - Guide and mentor junior team members and interns - Diagnose and resolve issues in production - Collaborate with development teams to determine application requirements - Assess and prioritize client feature requests Qualifications Required: - Bachelors or Masters in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or related quantitative fields (Ph.D. candidates encouraged to apply) - Proficiency in Python Web Development (Flask) - Knowledge of React/NodeJS Web Development - Familiarity with SQL, Unix, Docker, Git, and relational databases - Strong analytical, design, problem-solving, and troubleshooting/debugging skills - Experience in DevOps and deployment pipelines for software deployment - Familiarity with Analytics/Machine Learning projects and libraries - Understanding of software design patterns and engineering best practices - Ability to work independently and remotely without needing constant supervision Additional Company Details: The company is a remote-first organization, offering flexible hours and competitive salaries. They provide growth potential and the opportunity to work with leading minds in finance, statistics, and econometrics. The culture values reliability, honesty, teamwork, communication, self-starters, builders, and experimentation. Pursuing or completing a higher degree in STEM fields, curiosity about Analytics/Machine Learning, and prior experience in Financial Services are considered advantageous.,

As a Senior Generative AI Engineer at Blue Yonder, you will play a crucial role in designing, developing, and implementing innovative agentic AI-driven solutions. This is a hands-on position where you will be responsible for building agentic AI proof of concepts (POCs) from scratch to showcase the potential and value of the solutions to the business. Your primary responsibilities will include designing, prototyping, and deploying cutting-edge agentic AI solutions that address customer pain points within Blue Yonder's global customer base. You will work on pioneering projects that explore the capabilities of Generative AI and machine learning in the supply chain and retail sectors. In this role, you will design, build, and iterate agentic AI solutions using proprietary and open-source language model frameworks such as Autogen. You will also demonstrate these solutions to internal stakeholders and customers, gather feedback, and continuously enhance the solutions based on the input received. Collaboration with team members and supply chain experts will be essential to refine agentic AI solutions and tailor them to specific business challenges. Additionally, you will be tasked with establishing coding standards, best practices, and technical documentation to ensure the development of reliable and robust AI agents. Key qualifications for this role include a Bachelor's degree in computer science, Artificial Intelligence, Data Science, or a related STEM field, along with a minimum of 3 years of experience in data science, machine learning, or Generative AI. Proficiency in Python and various ML libraries is a must, as well as a solid understanding of language model frameworks, cloud platforms, and version control systems. If you are passionate about pushing the boundaries of AI, committed to continuous learning and innovation, and thrive in a dynamic startup environment within an enterprise setting, we encourage you to apply for this exciting opportunity. Preferred skills for this role include familiarity with CI/CD pipelines, automated testing strategies, monitoring tools for language models, and prior experience in solving data science challenges within the supply chain domain. Strong communication skills and a history of contributions to open-source projects in the AI/ML space are also advantageous. At Blue Yonder, our values are at the core of everything we do. If you share our values and are driven by a desire to make a meaningful impact, we invite you to explore how you can be a part of our success story.,

As a skilled back-end developer, you will be joining our growing team and utilizing your technical expertise and analytical mindset to design and develop mission-critical applications and infrastructure layers. You should be comfortable working independently as well as collaboratively with a team. Your responsibilities will include designing, building, and maintaining efficient and reliable code, implementing low-latency and high-availability applications, analyzing data to drive optimization, developing custom data models and algorithms, ensuring security and data protection, and collaborating with team members and stakeholders. Additionally, you will be expected to work on other assigned duties. To qualify for this role, you should have a minimum of 5 years of programming experience in Python, proficiency in Python 2.x/3.x and related libraries (pandas, NumPy, sklearn, matplotlib, jupyter/vs-code, SQL), experience with medium to large-scale projects, excellent coding and debugging skills, hands-on design for customer-facing applications, a solid understanding of computer science fundamentals, and the ability to work with structured relational and non-relational data. Knowledge of SQL, NoSQL, AWS, Azure, or Google Cloud, and managing web applications on Linux environments is required. Strong analytical and interpersonal skills are also essential.,

We are seeking talented React developers with up to 5 years of experience who are enthusiastic about creating UI designs using React. This position is open to individuals interested in collaborating with a US startup. If you are passionate about working remotely from any location, eager to gain experience in a Startup setting, and looking for a role that promotes work-life balance and flexibility, then this opportunity is ideal for you. We are dedicated to providing a supportive work environment that accommodates parents and individuals seeking a flexible lifestyle. Whether you prefer working from a vacation spot or a rural farm, as long as you have a reliable internet connection, you can perform your tasks remotely without the hassle of commuting or attending in-person meetings. If you are ready to work diligently and enjoy your downtime, let's embark on this journey together. As part of the application procedure, candidates must complete the pre-screening behavioral assessment form. Without this form, candidates will not be considered for the position. Requirements: - Bachelor's or Master's degree in Computer Science or a related quantitative field - Proficiency in React/Typescript/JS/CSS/HTML - Proficient or knowledgeable in Python (Flask) Web Development - Familiarity with SQL, Unix, Docker, Git, and relational Databases - Strong experience in DevOps and deployment pipelines for software deployment to servers (On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects and the ability to understand or learn how SkLearn/spark libraries and other machine learning packages operate on web servers - Strong analytical, design, problem-solving, and troubleshooting skills - Knowledge of software design patterns and software engineering best practices - Capability to work independently in a home office without constant supervision Responsibilities include: - Developing Typescript/HTML/CSS for Web UI Platform with a focus on scalability, supportability, and maintainability - Mentoring and managing junior team members and interns - Resolving issues in production and enhancing the company's technology suite by collaborating with development teams - Prioritizing client feature requests Qualifications: - Dependable, self-reliant, and versatile - Honest, with a commitment to transparency - Team player who enjoys collaborative work - Effective communicator who can convey goals to team members - Self-starter who takes initiative and ownership of projects - Passionate about delivering superior products/experiences to customers and takes pride in their work - Experimental mindset, willing to explore new tools, techniques, and approaches Desirable qualifications: - Exposure to WordPress Plugin Ecosystem - Proficiency in Python programming and interest in the field - Curious and eager to learn about Analytics/Machine Learning - Previous experience in Financial Services is advantageous Benefits: - Annual salary ranging from 3,00,000 to 9,00,000 - Remote First Company with 100% remote work flexibility - Flexible working hours - Competitive salary package - Growth opportunities in a company poised for significant expansion - Opportunity to collaborate with industry leaders in finance, statistics (machine learning), and econometrics Please note the zero-tolerance policy for plagiarism during the screening test. Submissions containing solutions generated by AI platforms like ChatGPT will result in immediate disqualification. Submit your assignment only as a zip attachment via email, and remember to include a screenshot of the UI developed for the assignment. Any other form of submission will be automatically rejected.,

PristineAI is leading the retail revolution by developing advanced AI solutions that enhance pricing, promotions, personalization, and assortment management. Our innovative platforms, powered by Natural Language Processing (NLP) and forecasting technologies, equip decision-makers with powerful tools. With our presence in Woburn, MA, and Engineering Labs in Mumbai and Chennai, we are a fast-growing team committed to pushing the boundaries of AI to deliver impactful and industry-first solutions. Our flagship platform, Kai, leverages Natural Language Processing to democratize AI for decision-makers. Additionally, our Presto forecasting and optimization platform significantly increases retailer profitability. Every day, our SaaS platform learns from over 40 million new customer interactions across 12,000 stores/websites and 30 million customers. If you are a creative problem solver and team player, we welcome you to join our dynamic AI team. We are currently looking for a Lead AI Engineer with over 5 years of hands-on experience to join our team in Mumbai. The ideal candidate should possess a solid foundation in AI, Mathematics, Statistics, or Computer Science, and demonstrate proven implementation skills. Expertise in Deep Learning would be a valuable asset. As we integrate LLM and Copilot technologies into our solutions, we seek individuals who are passionate about creatively applying these technologies. AI plays a central role in our platform, influencing both the user experience and backend functionalities. We are in search of engineers who are enthusiastic about engaging in all stages of the solution lifecycle and embracing the technologies used to build cutting-edge solutions. **Role:** Lead AI Engineer **Qualification:** Bachelors or Masters degree in Computer Science, Software Engineering, AI, Statistics, or Math **Experience:** 5+ years in AI/ML engineering roles, with at least 2-3 years in a senior technical leadership position **Location:** Mumbai, India **Industry:** IT - SaaS, Retail **Job Type:** Full-Time, Permanent (Work from office) **Key Attributes and Abilities:** - Exceptional problem-solving skills with expertise in problem definition and developing alternative solution approaches - Strong design abilities and proficient in generating clean, efficient, and maintainable code - Excellent verbal and written communication skills - Adaptability to dynamic environments and shifting priorities - Collaborative mindset and effective team player - Hands-on experience in project development and support - Proficiency in conducting rigorous reviews and offering quality feedback **Technical Expertise and Familiarity:** - Supervised and unsupervised learning, deep learning, and NLP techniques - Proficiency in LLM technologies, causal inference, and A/B testing - Familiarity with optimization techniques and data visualization tools - Programming languages: Python, R, SQL - ML frameworks and libraries: TensorFlow, PyTorch, SkLearn - Database experience: Oracle, SQL/NoSQL, MySQL **Responsibilities:** - Develop and deploy AI/ML models for retail optimization - Collaborate with cross-functional teams to implement solutions and enhance data models - Build analytical tools to provide insights into key business metrics - Deploy AI models into production environments and manage data attributes - Innovate AI infrastructure for scalability and efficiency - Mentor junior engineers and ensure high-quality AI systems - Stay updated with AI research and integrate emerging technologies into solutions - Conduct code reviews and troubleshoot data quality issues **Remunerations and Benefits:** - Opportunity to shape the future of the industry in a start-up environment - Work with talented Retail Business Practitioners, Consumer Behavior Analysts, AI Experts, and Engineers - Annual study time allocation - Competitive salaries, equity, and health insurance coverage PristineAI is an equal opportunity employer that values diversity and is dedicated to creating an inclusive work environment for all employees.,

At Calfus, we are focused on delivering cutting-edge AI agents and products that revolutionize businesses. Our goal is to help companies leverage the full potential of AI, enabling them to explore new opportunities in the AI era. Our software engineering teams are highly esteemed for consistently providing solutions that drive revenue growth, whether for startups or established enterprises. With successful implementations of cloud solutions and development of tools that seamlessly integrate with ERP systems, we streamline processes, allowing teams to focus on high-impact tasks. Your talent is crucial to our success! We are actively seeking skilled professionals to join our global teams and enhance our in-house expertise. As one of the fastest-growing companies in our industry, we foster a culture of innovation that welcomes new ideas and thrives on collaboration. Our dedication, agility, and speed set us apart, and we seek individuals who share the same drive and energy. As we continue to expand and make a greater impact, we invite you to apply for our open positions and be part of our journey! As a Senior Python Development Engineer, you will play a key role in designing, building, and maintaining robust software solutions using Python. Your expertise will be instrumental in the success of our projects, while your leadership will guide junior developers towards excellence. **Responsibilities:** **Design and Development:** - Develop Python-based applications to support software projects. - Ensure code structure promotes functionality, performance, and maintainability. **Leadership & Mentorship:** - Provide technical guidance to junior developers in leadership roles. - Foster collaboration and adherence to best practices. **Collaboration:** - Collaborate with cross-functional teams to define project requirements. - Align software development with business objectives. **Code Quality Assurance:** - Conduct code reviews to ensure high-quality code and suggest improvements. - Uphold coding standards and best practices. **Troubleshooting and Debugging:** - Identify and resolve code bugs promptly. - Utilize problem-solving skills to maintain software operation. **Staying Informed:** - Stay updated on Python development trends and standards. - Familiarize yourself with new technologies and tools. **Performance Optimization:** - Optimize and test software for functionality and smooth operation. **Documentation:** - Maintain code documentation and technical specifications. - Ensure transparency and accessibility for the development team. **Requirements on your first day:** - 5 to 7 years of software development experience. - Proficiency in Object-Oriented Python. - Knowledge of web frameworks like Django, Flask, FastAPI, etc. - Familiarity with data-processing libraries such as Pandas, NumPy, Sklearn, etc. - Understanding of RESTful API, cloud technologies (AWS, Microsoft Azure), SQL, and relational databases. - Experience with Docker and NoSQL databases (MongoDB, DynamoDB). - Strong testing, debugging, problem-solving skills, and ability to learn new technical skills rapidly. - Analytical mindset, strong communication skills, and familiarity with system architecture and software design patterns. **Benefits:** - Medical, group, and parental insurance, gratuity, provident fund options. - Employee wellness support and birthday leave. - Equal Opportunity Employer promoting diversity and inclusivity. Join us at Calfus, where diversity fuels innovation, and every individual has the opportunity to thrive. We welcome applicants from all backgrounds and experiences!,

As an AI/ML Developer at our organization, you will be responsible for developing and implementing machine learning models and algorithms. Your role will involve working closely with project stakeholders to understand requirements and translate them into deliverables. Utilizing statistical and machine learning techniques, you will analyze and interpret complex data sets. It is crucial to stay updated with the latest advancements in AI/ML technologies and methodologies to ensure the success of various AI/ML initiatives. Collaboration with cross-functional teams will be essential to support and drive these initiatives forward. In this role, it would be advantageous to have knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Key technical skills required for this position include solid experience in Time Series Analysis, Anomaly Detection, and traditional machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and the Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue) is necessary. You should also possess expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data, including indexing, search, and advanced retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks such as pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy, Glue crawler, and ETL is required. Experience with data visualization tools like Matplotlib, Seaborn, and Quicksight, as well as deep learning frameworks such as TensorFlow, Keras, and PyTorch, is essential. Familiarity with version control systems like Git and CodeCommit is expected. Moreover, strong knowledge and experience in Generative AI/LLM based development, working with key LLM models APIs and LLM Frameworks, text chunking techniques, text embeddings, RAG concepts, and training and fine-tuning Foundation Models are valuable assets for this role. If you have 5-8 years of experience in the field and are available to join within 0-15 days, we encourage you to apply for this Full-Time position located in Ahmedabad, Indore, or Pune.,

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. As a Senior Data Scientist, your key responsibilities will include developing and implementing machine learning models and algorithms, working closely with project stakeholders to understand requirements and translate them into deliverables, utilizing statistical and machine learning techniques to analyze and interpret complex data sets, staying updated with the latest advancements in AI/ML technologies and methodologies, and collaborating with cross-functional teams to support various AI/ML initiatives. To qualify for this position, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, as well as a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this role include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, experience with cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), expertise in building secure data ingestion pipelines for unstructured data (ETL/ELT), proficiency in Python, TypeScript, NodeJS, ReactJS, and frameworks, experience with data visualization tools, knowledge of deep learning frameworks, experience with version control systems, and strong knowledge and experience in Generative AI/LLM based development. Good to have skills for this position include knowledge and experience in building knowledge graphs in production and understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, and we believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.,

As a crucial member of the team, you will play a pivotal role in various machine learning initiatives, contributing to the development of conversational AI bots, RAG system, and traditional ML problem-solving for the observability platform. Your responsibilities will involve both operational and engineering tasks such as building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Within the LLM domain, you will be tasked with fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. This role offers you the opportunity to significantly impact AI-driven solutions in diverse domains, pushing the boundaries of machine learning and embracing diverse challenges along the way. To excel in this position, you should demonstrate proficiency in software engineering design practices, experience with transformer models and text embeddings, a track record of deploying and managing ML models in production environments, and familiarity with common ML/NLP libraries like PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. You should have over 5 years of experience developing production-grade applications in Python, proficiency in Kubernetes and containers, and familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages, along with experience in designing, developing, and testing scalable distributed systems, is essential. Moreover, knowledge of message broker systems (e.g., Kafka, RabbitMQ), application instrumentation and monitoring practices, ML workflow management tools like AirFlow and Sagemaker, and fine-tuning generative AI models for enhanced performance will be valuable. Designing AI Agents for conversational AI applications, experimenting with new techniques for observability use cases, building and maintaining inference pipelines, managing deployment and model versioning pipelines, and developing tooling for continuous model validation in production environments are key aspects of this role. Bonus points will be awarded if you have familiarity with the AWS ecosystem or past experience working on projects involving the construction of agentic language chains. Please note that visa sponsorship is not available for this position. At our company, fostering a diverse, welcoming, and inclusive environment is a priority. We encourage individuals from different backgrounds and abilities to bring their authentic selves to work, celebrating the diverse paths that brought them to us. Our mission is to create the best products and company possible, inspired by the unique experiences and perspectives of our team members. We value candidates who connect with our mission and values beyond just meeting requirements. If you need a reasonable accommodation during the application or recruiting process, please contact resume@newrelic.com. We believe in empowering all team members to achieve success through a flexible workforce model that supports various work environments, including fully office-based, fully remote, or hybrid setups. As part of our hiring process, all hires must verify identity and eligibility to work, including completing employment eligibility verification. A criminal background check is required due to our responsibility for safeguarding customer data. Qualified applicants with arrest and conviction records will be considered based on individual circumstances and applicable laws. For more information, review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy.,

As an AI/Machine Learning Engineer at our organization, you will play a key role in developing innovative solutions using machine learning technology to drive business success. Working closely with a diverse team of data scientists, software engineers, and product managers, you will be responsible for designing, developing, and maintaining robust machine learning models and workflows. Your focus will be on transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to enhance user experiences and functionality. Your primary responsibilities will include creating end-to-end workflows for training and inference pipelines of machine learning models, designing and implementing multi-step workflows using Python and frameworks like LangChain and LangGraph, building and optimizing RAG pipelines using vector stores such as FAISS and AWS OpenSearch, processing and analyzing time series data using libraries like Pandas and NumPy, and collaborating with other developers to deploy and maintain applications across different platforms. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, along with at least 3 years of experience as a Machine Learning Engineer or AI Developer. Proficiency in Python programming and familiarity with libraries such as scikit-learn, Numpy, Pandas, TensorFlow, and PyTorch is essential. Additionally, you should have experience with building APIs, integrating third-party libraries, and working with AWS or Azure services. Your strong problem-solving skills, ability to work under pressure, and excellent communication abilities will be crucial in engaging with various collaborators and delivering high-quality solutions. You should also be comfortable switching between different projects as needed and have experience with backend integrations and deploying AI/ML models in production environments. Join our central Digital Products and Solutions team at Siemens Energy, where we are dedicated to developing software solutions for internal and external customers. As part of a global team committed to sustainability, innovation, and energy transformation, you can make a real impact and contribute to our mission of creating sustainable, reliable, and affordable energy solutions for a better future. Siemens Energy values diversity and inclusion, celebrating individual differences and fostering a culture of creativity and collaboration. By joining our team, you will have the opportunity to work remotely, collaborate with a distributed team, lead innovative projects, enjoy medical benefits, paid holidays, parental leave, and access continual learning opportunities through the Learn@Siemens-Energy platform. Discover how you can be part of our exciting journey at Siemens Energy and contribute to shaping the future of energy technology.,

Role & responsibilities : Gen AI Developer Preferred candidate profile :- 3+ Years Location: Hyderabad Job Overview: Design, implement, and deploy Generative AI models (e.g., GPT, GAN) using Python. Hands-on knowledge in Langchain and other Genai tools to develop prompt. Develop and optimize machine learning and deep learning algorithms for generative tasks such as text generation, image creation, video synthesis, etc. Work closely with data engineers, and other teams to integrate AI solutions into production systems. Preprocess and analyze large datasets to train AI models. Tune and optimize model performance and ensure scalability of the deployed solutions. knowledge in OCR and other machine learning skills Perks and benefits :- Long term development project, Location:- Hyderabad - Work from office

The Group Strategic Marketing & Communications team at DBS is dedicated to enhancing the brand's presence in the competitive banking industry. By collaborating closely with various units within the organization, we develop and implement cohesive strategies that emphasize digital communications, marketing, and research to set our brand apart from competitors. As a part of this team, your key responsibilities will include building Machine Learning models and data science solutions using cutting-edge tools like Spark, Sklearn, and Tensorflow. You will be proficient in analytic programming languages such as Python and R, and work with large datasets on distributed Big Data Platforms. Your role will involve creating advanced analytics solutions like recommendation engines, customer segmentation, credit underwriting models, and more. Collaborating with business and product teams, you will define problem statements and develop solution frameworks. From data collection to model deployment and monitoring, you will oversee the end-to-end execution of projects. Conducting A/B test experiments to assess model effectiveness and identifying target segments will be crucial aspects of your work. Additionally, you will drive the testing and deployment of machine learning products into production, demonstrating excellent pattern recognition and predictive modeling skills. In terms of requirements, we are looking for candidates with a strong academic background and 3-12 years of experience in Data Science/Analytics within industries like consumer banking, ecommerce, retail, telecoms, or technology. Proficiency in databases like Teradata, NoSQL, and Hadoop, as well as programming languages such as Python, R, and Spark, is essential. You should have a deep understanding of applying data science and machine learning solutions to various business challenges. Moreover, excellent communication skills are vital, as you will be required to convey complex analysis and models to a diverse team effectively. A degree in Statistics, Analytics, Applied Mathematics, Operation Research, or a related quantitative field is preferred, along with prior experience in AI/ML/DS. Being self-motivated, adaptable, creative, and strategic in your approach will be advantageous in this role. If you are passionate about leveraging data science and machine learning to drive business impact and enhance customer experiences, we welcome you to join our team in Mumbai, India. This is a full-time position with a focus on analytics, and the job posting date is Aug 12, 2025.,

We are looking for a Software Developer with strong skills in Python, particularly in the field of Natural Language Processing (NLP). The ideal candidate must have a minimum of 3-7 years of relevant experience. One of the primary responsibilities will be to work on core problems and develop algorithms from scratch. Additionally, the candidate should have the ability to seamlessly integrate into ongoing projects, understand existing codes and algorithms, and contribute effectively. The candidate should have expertise in NLP application areas such as Sentiment Analysis, Document Classification, Question-Answer Matching, Text Summarization, and Topic Modeling. It is essential that the candidate has successfully trained and deployed at least one Machine Learning / Deep Learning model for the NLP domain. Proficiency in web scraping will be considered a significant advantage. Apart from technical skills, the candidate must possess strong interpersonal and communication skills. They should be able to engage with customers to solve business problems using AI and identify opportunities to embed AI/ML services into enterprise architecture seamlessly. Keeping up-to-date with the latest technological advancements in the fields of AI, ML, Computer Vision, and NLP is crucial for this role. This position is based in Pune and requires a proactive individual who is passionate about leveraging AI technologies to drive innovation and solve real-world challenges.,

As a Principal AI Scientist at Pristine, you will play a pivotal role in architecting next-generation recommendation engines by leveraging Behavioral Science and AI. You will have the opportunity to design and implement sophisticated self-learning models while working in a high-speed, small team environment alongside Retail Business Experts, AI Scientists, Behavioral & Cognitive Scientists, CX Designers, and Solution Engineers. Your exceptional abstract thinking and conceptual abilities will be put to the test as you collaborate with a diverse team and communicate effectively with technical and non-technical audiences. Pristine is at the forefront of pioneering Behavioral Science and AI technology, aiming to deliver optimal physical and digital experiences for individual customers in the fast-moving consumer goods retail and manufacturing markets. As a Principal AI Scientist, you will be instrumental in advancing solutions and strengthening leadership within the organization. Your role will involve guiding the AI/Behavioral Science team, overseeing prescriptive modeling life cycles, and partnering with various stakeholders to address business challenges and deliver effective solutions rapidly. To excel in this role, you should have a solid foundation in AI, Mathematics, Statistics, or Computer Science, backed by proven implementation experience. Expertise in Deep Learning would be advantageous as you contribute to implementing a variety of AI techniques and designing, training, and evaluating highly sophisticated models. Your technical expertise should encompass supervised and unsupervised Machine Learning algorithms, Deep Learning techniques, NLP, statistical techniques, and AI search algorithms, among others. Beyond technical skills, you will be responsible for fostering a positive work culture characterized by idea exchange, peer review, co-creation, and relentless advancement. Your ability to effectively communicate complex concepts and collaborate across multicultural global offices will be essential in this dynamic environment. Joining Pristine means being part of a startup environment where you can shape the future of the industry while working alongside talented Retail Business Practitioners, Consumer Behavior Analysts, AI Scientists, and Engineers. In addition to competitive salaries and generous equity, you will have the opportunity for annual study time to further enhance your skills and expertise. If you believe you are supremely qualified for this role, we encourage you to send your resume to career@pristineinfotech.com and describe in a few sentences what sets you apart as a potential Principal AI Scientist at Pristine.,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future through the delivery of impactful outcomes. With a workforce of over 125,000 individuals spanning across 30+ countries, we are inspired by our innate curiosity, entrepreneurial agility, and commitment to creating enduring value for our clients. Our purpose, driven by the relentless pursuit of a world that works better for people, empowers us to serve and transform major enterprises, including the Fortune Global 500, leveraging our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist. As a part of this role, you will be tasked with the development and implementation of NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities: Model Development: - Proficiency in various statistical, ML, and ensemble algorithms. - Demonstrated expertise in Time series algorithms and forecasting use cases. - Ability to discern model-specific strengths and weaknesses and identify suitable models for different problem types. - Understanding of evaluation metrics and the ability to recommend the correct evaluation metric for a given problem. Data Analysis: - Extraction of meaningful insights from structured data. - Data preprocessing for ML/AI applications. Collaboration: - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. Integration and Deployment: - Integration of ML models into production systems. - Implementation of CI/CD pipelines for continuous integration and deployment. Documentation and Training: - Documentation of processes, models, and results. - Provision of training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you: Minimum Qualifications/Skills: - Bachelor's degree in computer science, Engineering, or a related field. - Strong programming skills in Python and R. - Experience with DS frameworks (SKLEARN, NUMPY). - Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. Preferred Qualifications/Skills: - Experience in Predictive Analytics and Machine Learning techniques. - Proficiency in Python/R/Any other open-source programming language. - Experience with visualization tools such as Tableau, Power BI, Qlikview, etc. - Applied statistics skills including distributions, statistical testing, regression, etc. - Knowledge and experience with various tools and techniques in Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation, Cluster Analysis, Factor Analysis, Machine Learning (Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP). This is a full-time position located in India-Hyderabad. If you are a dynamic professional with a passion for driving innovation and creating impactful solutions, we invite you to apply for this exciting opportunity.,

You should have proficiency in C, C++, Python, Data structures and Algorithm, Machine Learning, Artificial Neural Network, Statistical Analysis, SQL, DBMS, OOPs, NumPy, Pandas, Matplotlib, Sklearn, and Hugging Face. It is essential to possess excellent communication and interpersonal skills. The location for this position is Gurgaon. The ideal candidate should have a qualification of BCA / MCA / B-tech and must have 2 to 4 years of experience. This job falls under the IT Software industry type.,

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

Chubb is a world-renowned insurance leader with operations spanning across 54 countries and territories, offering a wide range of commercial and personal insurance solutions. Known for its extensive product portfolio, robust distribution network, exceptional financial stability, and global presence, Chubb is committed to providing top-notch services to its diverse clientele. The parent company, Chubb Limited, is publicly listed on the New York Stock Exchange (NYSE: CB) and is a constituent of the S&P 500 index, boasting a workforce of around 43,000 individuals worldwide. For more information, visit www.chubb.com. Chubb India is embarking on an exciting digital transformation journey fueled by a focus on engineering excellence and analytics. The company takes pride in being officially certified as a Great Place to Work for the third consecutive year, underscoring its culture that nurtures innovation, growth, and collaboration. With a talented team of over 2500 professionals, Chubb India promotes a startup mindset that encourages diverse perspectives, teamwork, and a solution-oriented approach. The organization is dedicated to honing expertise in engineering, analytics, and automation, empowering its teams to thrive in the ever-evolving digital landscape. As a Full Stack Data Scientist within the Advanced Analytics team at Chubb, you will play a pivotal role in developing cutting-edge data-driven solutions using state-of-the-art machine learning and AI technologies. This technical position involves leveraging AI and machine learning techniques to automate underwriting processes, enhance claims outcomes, and provide innovative risk solutions. Ideal candidates for this role possess a solid educational background in computer science, data science, statistics, applied mathematics, or related fields, coupled with a penchant for solving complex problems through innovative thinking while maintaining a keen focus on delivering actionable business insights. You should be proficient in utilizing a diverse set of tools, strategies, machine learning algorithms, and programming languages to address a variety of challenges. Key Responsibilities: - Collaborate with global business partners to identify analysis requirements, manage deliverables, present results, and implement models. - Leverage a wide range of machine learning, text and image AI models to extract meaningful features from structured and unstructured data. - Develop and deploy scalable and efficient machine learning models to automate processes, gain insights, and facilitate data-driven decision-making. - Package and publish codes and solutions in reusable Python formats for seamless integration into CI/CD pipelines and workflows. - Ensure high-quality code that aligns with business objectives, quality standards, and secure web development practices. - Build tools for streamlining the modeling pipeline, sharing knowledge, and implementing real-time monitoring and alerting systems for machine learning solutions. - Establish and maintain automated testing and validation infrastructure, troubleshoot pipelines, and adhere to best practices for versioning, monitoring, and reusability. Qualifications: - Proficiency in ML concepts, supervised/unsupervised learning, ensemble techniques, and various ML models including Random Forest, XGBoost, SVM, etc. - Strong experience with Azure cloud computing, containerization technologies (Docker, Kubernetes), and data science frameworks like Pandas, Numpy, TensorFlow, Keras, PyTorch, and sklearn. - Hands-on experience with DevOps tools such as Git, Jenkins, Sonar, Nexus, along with data pipeline building, debugging, and unit testing practices. - Familiarity with AI/ML applications, Databricks ecosystem, and statistical/mathematical domains. Why Chubb - Join a leading global insurance company with a strong focus on employee experience and a culture that fosters innovation and excellence. - Benefit from a supportive work environment, industry leadership, and opportunities for personal and professional growth. - Embrace a startup-like culture that values speed, agility, ownership, and continuous improvement. - Enjoy comprehensive employee benefits that prioritize health, well-being, learning, and career advancement. Employee Benefits: - Access to savings and investment plans, upskilling opportunities, health and welfare benefits, and a supportive work environment that encourages inclusivity and growth. Join Us: Your contributions are integral to shaping the future at Chubb. If you are passionate about integrity, innovation, and inclusion and ready to make a difference, we invite you to be part of Chubb India's journey. Apply Now: Chubb India Career Page,

Genpact (NYSE: G) is a global professional services and solutions firm dedicated to shaping the future by delivering impactful outcomes. With a team of over 125,000 professionals spread across more than 30 countries, we are characterized by our inherent curiosity, entrepreneurial spirit, and commitment to creating enduring value for our clients. Fueled by our overarching purpose of continually striving towards a world that functions better for individuals, we partner with and enhance leading enterprises, including members of the prestigious Fortune Global 500. Our core competencies revolve around in-depth business and industry expertise, digital operational services, and proficiency in data, technology, and AI. We are currently seeking applications for the position of Business Analyst - Data Scientist to join our dynamic team. As a Business Analyst - Data Scientist at Genpact, you will play a pivotal role in the development and implementation of NLP (Natural Language Processing) models and algorithms, extracting actionable insights from textual data, and collaborating with cross-functional teams to deliver innovative AI solutions. **Responsibilities:** **Model Development:** - Proficiency in various statistical, machine learning, and ensemble algorithms. - Strong understanding of time series algorithms and forecasting use cases. - Ability to discern the strengths and weaknesses of different models and select appropriate ones for specific problems. - Proficiency in evaluating metrics and recommending suitable evaluation metrics for different problem types. **Data Analysis:** - Extracting meaningful insights from structured data. - Preprocessing data for machine learning/artificial intelligence applications. **Collaboration:** - Close collaboration with data scientists, engineers, and business stakeholders. - Providing technical guidance and mentorship to team members. **Integration and Deployment:** - Integrating machine learning models into production systems. - Implementing CI/CD pipelines for continuous integration and deployment. **Documentation and Training:** - Documenting processes, models, and results. - Providing training and support to stakeholders on NLP techniques and tools. **Qualifications we seek in you:** **Minimum Qualifications / Skills:** - Bachelor's degree in computer science, engineering, or a related field. - Proficient programming skills in Python and R. - Experience with data science frameworks such as SKLEARN and NUMPY. - Knowledge of machine learning concepts and frameworks like TensorFlow and PyTorch. - Strong problem-solving and analytical capabilities. - Excellent communication and collaboration skills. **Preferred Qualifications/Skills:** - Experience in predictive analytics and machine learning techniques. - Proficiency in Python/R or any other open-source programming language. - Building and implementing models, using algorithms, and running simulations with various tools. - Familiarity with visualization tools such as Tableau, Power BI, Qlikview, etc. - Proficiency in applied statistics skills, including distributions, statistical testing, regression, etc. - Knowledge and experience in various tools and techniques like forecasting, linear regression, logistic regression, machine learning algorithms (e.g., Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning), etc. - Experience with big data technologies (Hadoop, Spark). - Familiarity with cloud platforms like AWS, Azure, GCP. **Job Details:** **Title:** Business Analyst - Data Scientist **Primary Location:** India-Hyderabad **Education Level:** Bachelor's / Graduation / Equivalent **Job Posting:** Apr 1, 2025, 2:47:23 AM **Unposting Date:** May 1, 2025, 1:29:00 PM **Master Skills List:** Digital **Job Category:** Full Time,

You have over 5 years of experience in building production-grade Neural Network models using Computer Vision or Natural Language Processing techniques. You possess a strong understanding of various machine learning techniques and algorithms, including k-NN, Naive Bayes, SVM, Decision Forests, and Neural Networks. Experience with Deep Learning frameworks like TensorFlow, PyTorch, and MxNet is part of your skillset. Proficiency in common data science toolkits such as R, Sklearn, NumPy, MatLab, and MLib is highly desirable. Additionally, you have solid applied statistics skills encompassing distributions, statistical testing, and regression. Your expertise extends to using query languages like SQL, Hive, Pig, and NoSQL databases. In this role, you will collaborate with Product Managers, Architects, and Engineering Leadership to conceptualize, strategize, and develop new products focused on AI/ML initiatives. You will be responsible for developing, driving, and executing the long-term vision and strategy for the Data Science team by engaging with multiple teams and stakeholders across the organization. Your tasks will involve architecting, designing, and implementing large-scale machine learning systems. Specifically, you will develop Neural Network models for information extraction from mortgage documents using Computer Vision and NLP techniques. Ad-hoc analysis and clear presentation of results to various audiences and key stakeholders will be part of your routine. You will also design experiments, test hypotheses, and build models while conducting advanced data analysis and highly complex algorithm designs. Applying advanced statistical, predictive, and machine learning modeling techniques to enhance multiple real-time decision systems will be a key aspect of your role. You will collaborate with development teams to deploy models in the production environment to support ML-driven product features. Furthermore, you will define business-specific performance metrics to assess model effectiveness and continuously monitor and enhance these metrics over time for models in a production environment. To qualify for this position, you should hold an M.S. in mathematics, statistics, computer science, or a related field, with a Ph.D. degree being preferred. You must have over 5 years of relevant quantitative and qualitative research and analytics experience. Excellent communication skills and the ability to effectively convey complex topics to a diverse audience are essential attributes for this role.,

The position of Data Scientist in the Fraud & Operational Analytics Team of the Data & Analytics department involves creating Machine Learning/AI solutions to enhance fraud prevention and improve operational scalability. Your primary focus will be on developing cutting-edge ML solutions to drive customer experience, reduce operational costs, and mitigate risks effectively. As a Data Scientist, your responsibilities will include analyzing extensive datasets to extract business insights, understanding various fraud patterns, developing advanced ML models for fraud detection, and innovating with a continuous emphasis on improving approaches. You will also be exploring additional data sources to enhance the effectiveness of traditional sources and exhibiting expertise in data strategy and model training pipelines. Moreover, you will be expected to drive insights for actionable data-driven strategies, provide analytical support to the business and risk teams through bespoke and strategic analysis, and possess proficiency in econometric, statistical, and machine learning techniques. Strong knowledge of Python, SQL, Pandas, NumPy, Sklearn, TensorFlow/PyTorch, and statistical concepts for regression, classification, and anomaly detection is essential for this role. To qualify for this position, you should hold a Bachelor's degree in Science, Technology, or Computer Applications for Graduation and a Master's degree in the respective fields for Post-Graduation. The ideal candidate will have 2 to 5 years of experience in the field of data science, demonstrating a logical thought process and the ability to translate complex problems into data-driven solutions effectively.,

We are seeking talented Python Developers who are passionate about creating machine learning solutions using Python and are interested in collaborating with a US Startup. If you are enthusiastic about gaining experience in a startup environment and have the flexibility to work from any location with a stable internet connection, then this opportunity is perfect for you. Whether you prefer working from a vacation destination or a rural setting, remote work is the norm, eliminating the need for long commutes or frequent in-person meetings. If you are ready to work diligently and enjoy life to the fullest, we welcome you to join our team. As part of the application process, candidates must complete a pre-screening behavioral assessment form for consideration. Requirements: - A Bachelors or Masters degree in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or a related quantitative field (Ph.D. candidates are encouraged to apply) - Proficiency in Python Web Development with Flask - Knowledge of SQL, Unix, Docker, Git, and relational databases - Strong analytical, design, problem-solving, and debugging skills - Ability to work independently from a home office without constant supervision - Solid experience in DevOps and deployment pipelines for software deployment to servers (On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects, including familiarity with SkLearn/spark libraries and other relevant machine learning packages in web servers - Understanding of software design patterns and best practices in software engineering - Flexible schedule with most work hours concentrated in the evenings post-college (approximately 3-5 hours daily) Responsibilities include: - Writing Python code with a focus on scalability, supportability, and maintainability - Software development, configuration, and customization - Diagnosing and resolving production issues - Enhancing and developing the company's technology suite through collaboration with development teams to identify application requirements - Assessing and prioritizing client feature requests Qualities we value in candidates: - Reliability, independence, and the ability to multitask - Honesty and transparency - Team player who enjoys collaborating and working in a team environment - Effective communication skills to convey goals to team members - Self-starter capable of taking ownership of projects and tasks - Passion for delivering exceptional products and experiences to customers with a strong sense of ownership - Willingness to experiment with new tools, techniques, and approaches even in the face of failure Desirable qualifications: - Pursuing or completed MS/Ph.D. in Computing, Physics, or other STEM fields - Curiosity and eagerness to learn about Analytics/Machine Learning - Previous experience in Financial Services is a bonus Benefits: - Remote-first company allowing 100% remote work to suit your schedule - Flexible working hours - Competitive stipend/salary Please note: - We maintain a zero-tolerance policy towards plagiarism in the screening test - Submissions must be sent as a zip attachment via email; other forms of submission will be automatically rejected - Candidates from top schools such as Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading institutions in the USA/UK will be given preference,

Genrobotics Innovations is seeking a passionate and talented machine learning intern with a strong foundation in machine learning (ML) and deep learning (DL) algorithms, particularly in the area of computer vision. The ideal candidate will possess a deep understanding of various ML/DL techniques and their applications to real-world problems. In this role, you will collaborate closely with team stakeholders, contributing to the development, testing, analysis, and optimization of advanced machine learning algorithms for our AI systems. You will work on projects that involve data preprocessing, model development, and fine-tuning, with a focus on delivering high-performing solutions. This internship offers a unique opportunity to gain hands-on experience in cutting-edge AI technologies, while contributing to the development of innovative solutions that impact real-world applications. It is an excellent opportunity for anyone looking to expand their expertise in the fast-evolving field of artificial intelligence and computer vision. Responsibilities And Duties - Collaborate with other team members to understand the requirement and gather data. - Develop ML/DL algorithms specifically computer vision models, test, analyse and optimize the model. - Collect data for the model from different sources, preprocess and augment it to develop efficient, data-driven models. - Collaborate with different stakeholders of the team to gather requirements, develop POCs, and implement the best possible solution. - Develop a user interface for the application so that the end-user can make use of the AI system. - Document the work processes, methodologies, and results to ensure transparency and facilitate knowledge sharing. - Stay up-to-date with latest trends, tools, and technologies in machine learning and computer vision. Skills Required - Knowledge of machine learning concepts and techniques. - Profound knowledge of Python programming language. - Familiarity with ML libraries such as OpenCV, numpy, pandas, sklearn, and matplotlib. - Knowledge of mediapipe would be a plus but not mandatory. - Strong analytical and problem-solving skills. - Ability to collaborate with different team members and communicate effectively. Basic qualification: Currently pursuing bachelor's or masters in computer science, information technology, artificial intelligence, or related fields. Experience: Fresher. Job Location: Ernakulam, Kerala. Note: This is a paid internship.,

We are seeking exceptional Python Developers interested in collaborating with a US Startup. If you have a genuine passion for creating and implementing machine learning solutions using Python, desire a job offering complete flexibility to work from any location, and are eager to gain experience in a Startup environment, then this role is tailored for you. Whether you prefer working from your dream vacation spot or a serene countryside setting, as long as you have a stable internet connection, you can effectively work remotely from your chosen destination. Bid farewell to long commutes and the hassle of rushing to in-person meetings. Are you ready to dedicate yourself to hard work while also enjoying some well-deserved downtime Let's team up. As part of the application process, interested candidates must complete the pre-screening behavioral assessment form. Without this essential step, candidates will not be considered for this position. **Requirements** - Bachelor's or Master's degree in Statistics/Math, Computer Science, Finance/Economics, Computer Engineering, or a related quantitative field (Ph.D. candidates are encouraged to apply) - Proficiency in Python Web Development, particularly Flask - Familiarity with SQL, Unix, Docker, Git, and relational Databases - Strong analytical, design, problem-solving, and troubleshooting/debugging abilities - Capability to work independently in a home office without the need for constant supervision - Proficient in DevOps and deployment pipelines for software deployment to servers (both On-premise hosting and Azure) - Experience in Analytics/Machine Learning projects, including a solid understanding of how SkLearn/Spark libraries and other machine learning packages function in web servers - Knowledge of software design patterns and software engineering best practices - Flexible schedule, with a focus on evening work post-college hours (approximately 3-5 hours daily) **What You'll Do, But Not Limited To:** - Develop Python code with emphasis on scalability, supportability, and maintainability - Engage in software development, configuration, and customization - Identify and resolve issues in production - Enhance and expand all components of the company's technology suite through collaboration with development teams to determine application requirements - Evaluate and prioritize client feature requests **Who You Are:** - Reliable, Independent, and adept at multitasking - Honest individual who values transparency - Team Player who enjoys collaborative work - Effective Communicator capable of translating goals to team members - Self-Starter who takes ownership of projects and tasks - Builder with a strong commitment to delivering superior products/experiences to customers and taking responsibility for their work - Experimental mindset, always willing to explore new tools, techniques, and approaches, even if failures occur **Nice To Have:** - Pursuing/Completed MS/Ph.D. in Computing, Physics, or other STEM fields - Curious and enthusiastic about learning Analytics/Machine Learning - Prior experience in Financial Services is advantageous **Benefits** - Remote First Company with 100% remote work to accommodate your schedule - Flexible Hours - Competitive Stipend/Salary Please note: - Strict intolerance towards plagiarism during the screening test; any evidence of AI-generated solutions like ChatGPT will result in immediate disqualification. - Submit your assignment only as a zip attachment via email; other forms of submission will be automatically rejected. - Preference will be given to candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI, or leading schools in the USA/UK.,

Appnext offers end-to-end discovery solutions covering all the touchpoints users have with their devices. Thanks to Appnext's direct partnerships with top OEM brands and carriers, user engagement is achieved from the moment they personalize their device for the first time and throughout their daily mobile journey. Appnext Timeline, a patented behavioral analytics technology, is uniquely capable of predicting the apps users are likely to need next. This innovative solution means app developers and marketers can seamlessly engage with users directly on their smartphones through personalized, contextual recommendations. Established in 2012 and now with 12 offices globally, Appnext is the fastest-growing and largest independent mobile discovery platform in emerging markets. As a Machine Learning Engineer, you will be in charge of building end-to-end machine learning pipelines that operate at a huge scale, from data investigation, ingestions and model training to deployment, monitoring, and continuous optimization. You will ensure that each pipeline delivers measurable impact through experimentation, high-throughput inference, and seamless integration with business-critical systems. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. We're seeking an Adtech pro who thrives in a team environment, possesses exceptional communication and analytical skills, and can navigate high-pressure demands of delivering results, taking ownership, and leveraging sales opportunities. Responsibilities: Build ML pipelines that train on real big data and perform on a massive scale. Handle a massive responsibility, Advertise on lucrative placement (Samsung appstore, Xiaomi phones, TrueCaller). Train models that will make billions of daily predictions and affect hundreds of millions users. Optimize and discover the best solution algorithm to data problems, from implementing exotic losses to efficient grid search. Validate and test everything. Every step should be measured and chosen via AB testing. Use of observability tools. Own your experiments and your pipelines. Be Frugal. Optimize the business solution at minimal cost. Advocate for AI. Be the voice of data science and machine learning, answering business needs. Build future products involving agentic AI and data science. Affect millions of users every instant and handle massive scale Requirements: MSc in CS/EE/STEM with at least 5 years of proven experience (or BSc with equivalent experience) as a Machine Learning Engineer: strong focus on MLOps, data analytics, software engineering, and applied data science- Must Hyper communicator: Ability to work with minimal supervision and maximal transparency. Must understand requirements rigorously, while frequently giving an efficient honest picture of his/hers work progress and results. Flawless verbal English- Must Strong problem-solving skills, drive projects from concept to production, working incrementally and smart. Ability to own features end-to-end, theory, implementation, and measurement. Articulate data-driven communication is also a must. Deep understanding of machine learning, including the internals of all important ML models and ML methodologies. Strong real experience in Python, and at least one other programming language (C#, C++, Java, Go). Ability to write efficient, clear, and resilient production-grade code. Flawless in SQL. Strong background in probability and statistics. Experience with tools and ML models Experience with conducting A/B test. Experience with using cloud providers and services (AWS) and python frameworks: TensorFlow/PyTorch, Numpy, Pandas, SKLearn (Airflow, MLflow, Transformers, ONNX, Kafka are a plus). AI/LLMs assistance: Candidates have to hold all skills independently without using AI assist. With that candidates are expected to use AI effectively, safely and transparently. Preferred: Deep Knowledge in ML aspects including ML Theory, Optimization, Deep learning tinkering, RL, Uncertainty quantification, NLP, classical machine learning, performance measurement. Prompt engineering and Agentic workflows experience Web development skills Publication in leading machine learning conferences and/or medium blogs.,