{"id":8,"date":"2026-10-02T07:11:30","date_gmt":"2026-10-02T07:11:30","guid":{"rendered":"https:\/\/cybotrix.com\/jobs\/ai-ml-engineer-jobs-in-bangalore\/"},"modified":"2026-10-03T10:21:58","modified_gmt":"2026-10-03T10:21:58","slug":"ai-ml-engineer-jobs-in-bangalore","status":"publish","type":"page","link":"https:\/\/cybotrix.com\/jobs\/ai-ml-engineer-jobs-in-bangalore.html","title":{"rendered":"AI\/ML Engineer Jobs in Bangalore"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Explore <strong>AI\/ML Engineer jobs in Bangalore<\/strong> for professionals with hands-on experience in artificial intelligence, machine learning, deep learning, and production-grade AI systems. These opportunities focus on designing, developing, deploying, and optimizing intelligent applications using Python, ML frameworks, cloud platforms, and modern Generative AI technologies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Job Overview<\/h3>\n\n\n\n<p class=\"has-vivid-cyan-blue-color has-text-color has-link-color has-medium-font-size wp-elements-1 wp-block-paragraph\"><strong>Job Role:<\/strong> AI\/ML Engineer<br><strong>Location:<\/strong> Bangalore \/ Bengaluru, Karnataka<br><strong>Experience:<\/strong> Entry-Level to Experienced Professionals<br><strong>Employment Type:<\/strong> Full-Time<br><strong>Job Category:<\/strong> Artificial Intelligence \/ Machine Learning<br><strong>Salary:<\/strong> Open for the right candidates<br><strong>Qualification:<\/strong> B.E \/ B.Tech \/ M.Tech \/ MCA \/ M.Sc \/ Computer Science \/ AI \/ Data Science or equivalent<br><strong>Work Mode:<\/strong> On-site \/ Hybrid depending on employer requirements<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key Responsibilities<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Design, develop, and maintain machine learning and AI-based applications.<\/li>\n\n\n\n<li>Build, train, evaluate, and optimize machine learning models.<\/li>\n\n\n\n<li>Develop scalable ML pipelines for training and inference.<\/li>\n\n\n\n<li>Implement classification, regression, recommendation, forecasting, and anomaly-detection solutions.<\/li>\n\n\n\n<li>Work with structured and unstructured datasets for AI applications.<\/li>\n\n\n\n<li>Perform data preprocessing, feature engineering, and model optimization.<\/li>\n\n\n\n<li>Develop deep learning models using appropriate frameworks.<\/li>\n\n\n\n<li>Integrate trained models with applications through APIs and backend services.<\/li>\n\n\n\n<li>Build and optimize AI inference services for production environments.<\/li>\n\n\n\n<li>Collaborate with Data Scientists, Data Engineers, Software Engineers, DevOps teams, and product stakeholders.<\/li>\n\n\n\n<li>Monitor model performance and address accuracy, latency, scalability, and reliability issues.<\/li>\n\n\n\n<li>Maintain technical documentation for AI models, pipelines, APIs, and deployment processes.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Required AI\/ML Skills<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates should have strong programming skills in <strong>Python<\/strong> and practical knowledge of machine learning concepts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Relevant technical skills may include:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Machine Learning:<\/strong> Scikit-learn, supervised learning, unsupervised learning, classification, regression, clustering, ensemble methods and model evaluation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Deep Learning:<\/strong> TensorFlow, PyTorch, Keras, neural networks, CNNs, RNNs, Transformers or related architectures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Programming:<\/strong> Python, SQL, object-oriented programming, data structures, algorithms and API development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Data Processing:<\/strong> Pandas, NumPy, data preprocessing, feature engineering and dataset preparation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Model Development:<\/strong> Model training, hyperparameter tuning, cross-validation, performance evaluation and optimization.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Generative AI &amp; LLM Skills<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For Generative AI-focused openings, experience with <strong>Large Language Models (LLMs), Natural Language Processing, Transformers, prompt engineering, embeddings, vector databases and Retrieval-Augmented Generation (RAG)<\/strong> can be valuable.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates may also work on applications such as AI assistants, intelligent search, document processing, text classification, summarization, recommendation engines, conversational AI, and enterprise knowledge systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Knowledge of frameworks and tools used for developing LLM-powered applications can be an added advantage.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">MLOps &amp; Model Deployment<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI\/ML Engineers may be expected to move models beyond experimentation and into production environments.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Relevant skills can include <strong>Docker, Kubernetes, MLflow, Airflow, Git, CI\/CD pipelines, model serving, API deployment, monitoring, version control and automated ML workflows<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Experience deploying AI\/ML workloads on <strong>AWS, Microsoft Azure or Google Cloud Platform (GCP)<\/strong> is valuable for cloud-based projects.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Entry-Level AI\/ML Engineer Roles<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates starting their AI\/ML careers should have strong fundamentals in <strong>Python, machine learning, statistics, algorithms and data handling<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Academic projects, internships, certifications, GitHub projects, hackathons, or practical AI applications can help demonstrate technical ability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates should be prepared to explain how they prepared data, selected algorithms, trained models, evaluated results, and solved problems during their projects.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mid-Level AI\/ML Engineer Roles<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Mid-level professionals should have hands-on experience developing machine learning applications and integrating models into software systems.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">They may be responsible for <strong>ML pipelines, API development, model optimization, cloud deployment, inference services, data processing, and production monitoring<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Experience working with real-world datasets and production applications is highly desirable.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Senior AI\/ML Engineer Roles<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Senior professionals may take responsibility for designing scalable AI architectures, selecting appropriate models and frameworks, improving inference performance, and defining engineering standards.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Depending on the position, senior engineers may also mentor developers, review AI\/ML solutions, design MLOps workflows, evaluate new AI technologies, and work closely with engineering and product leadership.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Common AI\/ML Job Profiles<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Relevant openings may include <strong>AI Engineer, Machine Learning Engineer, Generative AI Engineer, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, LLM Engineer, Applied AI Engineer, MLOps Engineer<\/strong> and <strong>AI Software Engineer<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Each role can have different technical requirements, so candidates should apply to positions matching their primary AI\/ML expertise.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Preferred Technical Exposure<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Experience with some of the following technologies can strengthen a candidate&#8217;s profile:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Python, TensorFlow, PyTorch, Scikit-learn, SQL, Spark, PySpark, Docker, Kubernetes, MLflow, AWS, Azure, GCP, REST APIs, NLP, Transformers, LLMs, RAG, vector databases and Git.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Knowledge of software engineering practices, system design, data structures, algorithms, cloud computing, and application security can also be useful for production-focused AI roles.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Candidate Requirements<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates should demonstrate strong analytical and problem-solving abilities along with practical AI\/ML engineering knowledge.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Good communication and collaboration skills are important because AI\/ML Engineers frequently work across data, engineering, infrastructure, and business teams.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Experienced applicants should highlight <strong>production AI\/ML projects, models developed, frameworks used, cloud exposure, deployment experience, measurable outcomes, and technical responsibilities<\/strong> in their resumes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Apply for AI\/ML Engineer Jobs in Bangalore<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Candidates searching for <strong>AI\/ML Engineer jobs in Bangalore<\/strong> can apply with an updated resume highlighting relevant Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and MLOps experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The recruitment process may include <strong>Python coding, machine learning fundamentals, ML system design, model-development discussions, project evaluation, Generative AI concepts, technical interviews, and HR discussions<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Salary is open for the right candidates<\/strong> and may vary according to relevant experience, AI\/ML expertise, technical skills, interview performance, and employer requirements.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Explore AI\/ML Engineer jobs in Bangalore for professionals with hands-on experience in artificial intelligence, machine learning, deep learning, and production-grade AI systems. These opportunities focus on designing, developing, deploying, and optimizing intelligent\u2026<\/p>\n","protected":false},"author":1,"featured_media":346,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[189,1],"class_list":["post-8","page","type-page","status-publish","has-post-thumbnail","hentry","category-ai-machine-learning-jobs","category-it-jobs"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI\/ML Engineer Jobs in Bangalore | Latest AI &amp; ML Openings<\/title>\n<meta name=\"description\" content=\"Apply for AI\/ML Engineer jobs in Bangalore. 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