Machine Learning Engineer

3 weeks ago


Bangalore Division, India Spydra Full time

Job Summary: We are seeking a talented and motivated Machine Learning Engineer to join our team. The ideal candidate will have a strong background in machine learning algorithms, data analysis, and software development. You will be responsible for designing, developing, and deploying machine learning models and systems that drive our products and services. Key Responsibilities: Develop and implement machine learning algorithms and models. Design and conduct experiments to evaluate the performance of machine learning models. Collaborate with cross-functional teams to integrate machine learning solutions into products. Analyze large datasets to extract meaningful insights and patterns. Optimize and tune machine learning models for performance and scalability. Monitor and maintain deployed models, ensuring their performance in a production environment. Stay up-to-date with the latest trends and advancements in machine learning and artificial intelligence. Write clean, maintainable, and efficient code. Document processes, experiments, and results comprehensively. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience as a Machine Learning Engineer or similar role. Strong understanding of machine learning algorithms and techniques (e.g., supervised and unsupervised learning, reinforcement learning, deep learning). Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data preprocessing and feature engineering techniques. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication and collaboration skills. Preferred Qualifications: Experience with natural language processing (NLP) and computer vision. Knowledge of big data technologies (e.g., Hadoop, Spark). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with version control systems (e.g., Git). Understanding of DevOps practices and CI/CD pipelines.



  • Bangalore Division, India Capgemini Full time

    AIML Engineer Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models...


  • Bangalore Division, India Animaker Inc. Full time

    Machine Learning Engineer Job Description Job Title: Machine Learning Engineer – Creative Video Solutions Experience - 3+ Years Job Description: We are seeking a Machine Learning Engineer with a creative mindset and technical expertise to join our R&D team. This role bridges the gap between cutting-edge AI advancements and creative video solutions. The...


  • Bangalore Division, India Neurons AI Full time

    Company Description Neurons AI is dedicated to leveraging data and advanced technology to deliver transformative solutions. Specializing in Data Engineering, Artificial Intelligence, and Cybersecurity, the company develops tailored strategies to address complex business challenges. By combining innovation and expertise, Neurons AI empowers organizations to...


  • Bangalore Division, India Galent Full time

    Role/Designation : Lead Machine Learning Engineer (Media Tech) Experience Range : 8+ years Gracenote, a Nielsen company, is dedicated to connecting audiences to the entertainment they love, powering a better media future for all people. Gracenote is the content data business unit of Nielsen that powers innovative entertainment experiences for the world s...


  • Bangalore Division, India Tekion Full time

    🚀 We’re Hiring | Senior Machine Learning Engineer – Bangalore About Tekion Positively disrupting an industry that has seen little innovation in over 50 years, Tekion is redefining automotive retail.Our Automotive Retail Cloud (ARC) , Automotive Enterprise Cloud (AEC) , and Automotive Partner Cloud (APC) connect OEMs, retailers, and consumers through...


  • Bangalore Division, India PharmEasy Full time

    About the company: Launched in 2015, PharmEasy is a consumer healthcare “super app.” Started with the sole purpose of making healthcare accessible and affordable to all, PharmEasy today is India's leading and most trusted online healthcare aggregator in the country. We provide on-demand, home-delivered access to a wide range of prescription...


  • Bangalore Division, India Responsive Full time

    Responsive is looking for an ML Engineer with a strong background in Python, NLP, structured and unstructured data, and basic understanding of ML and DL algorithms/frameworks. The ideal candidate will have a Bachelor's degree in any quantitative discipline, such as Engineering, Computer Science, IT, or Statistics. The ML Engineer should be familiar with...


  • Bangalore, India Capgemini Full time

    AIML Engineer Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models...


  • bangalore, India Capgemini Full time

    AIML EngineerYour RoleMust have experience with Machine Learning Model DevelopmentExpert Level Proficiency in Data Handling (SQL)Hands-on with Model Engineering and ImprovementStrong experience in Model Deployment and ProductionlizationYour Profile5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across...


  • Bangalore Division, India NAZZTEC Full time

    🚀 We’re Hiring: Senior ML Engineer (Gen AI, Machine Learning) 📌 Mandatory Skills: Graph ML, Agentic AI 🌍 Location: Remote 🧠 Domain: Generative AI | Machine Learning | Distributed Systems 🔹 Overview Are you energized by the idea of innovating with Generative AI ? Do you want to build next-gen AI-driven products with real-world global impact ?...