Machine Learning Job Vacancies in Bhubaneswar

Job description:Hiring: Engineering Lead - Web, Mobile & AI/ML DevelopmentLocation: Bhubaneswar (Onsite)Experience: 4+ YearsEmployment Type: Full-TimeRole SummaryWe are looking for an experienced Engineering Lead to drive end-to-end development of web, mobile, and AI-powered applications. The role requires a balance of hands-on coding, AI/ML integration, team leadership, project analysis, and client communication.Key ResponsibilitiesLead development and architecture for web, mobile, and AI/ML-based applicationsWork hands-on with PHP (Laravel), Node.js, Python, and AI/ML frameworksDesign and integrate AI/ML models into production systems (recommendation systems, NLP, predictive analytics, etc.)Analyze requirements and prepare project scope, proposals, and estimationsManage deployment on AWS, Azure, DigitalOcean, GoDaddy, including ML model deployment pipelinesLead and mentor the development team; ensure timely deliveryCommunicate with international clients and handle technical discussionsRequired SkillsStrong experience in Laravel, Node.js, and PythonSolid understanding of AI/ML concepts and hands-on experience with libraries like TensorFlow, PyTorch, or Scikit-learnExperience with data processing, model training, evaluation, and deploymentKnowledge of cloud hosting, server management, and deployment (including ML workloads)Experience in project estimation and documentationStrong problem-solving and leadership skillsGood English communication for client interactionPreferredExperience in scalable architecture, MLOps, and DevOps practicesExposure to mobile app developmentFamiliarity with Generative AI, LLM APIs, or AI-driven product features

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Hiring for 25 AI agent Developer Jobs in Visakhapatnam, Bhubaneswar, Hyderabad, Vijayawada, India, for Freshers,Required Educational Qualification is : Professional Degree, B.Com, B.Sc, B.Tech, M.B.A/PGDM, M.Sc with Good knowledge in An AI Agent Developer requires expertise in programming languages such as Python, Java, JavaScript, C , TypeScript, and Go. Strong knowledge of machine learning (ML), deep learning (DL), reinforcement learning (RL), and generative AI is essential. They must be proficient in large language models (LLMs), prompt engineering, model fine-tuning, supervised and unsupervised learning, transfer learning, and neural networks. Expertise in natural language processing (NLP) is crucial, including named entity recognition (NER), speech recognition, sentiment analysis, text summarization, tokenization, text-to-speech (TTS), speech-to-text (STT), and semantic search. A deep understanding of data science and engineering is needed, covering data preprocessing, feature engineering, data cleaning, statistical analysis, and time-series forecasting. Knowledge of retrieval-augmented generation (RAG), vector databases like FAISS, Pinecone, and Weaviate, knowledge graphs, hybrid search, and frameworks like LangChain and Llama Index is valuable. Proficiency in DevOps and MLOps, including Docker, Kubernetes, CI/CD pipelines, API development, cloud computing (AWS, GCP, Azure), model deployment, and serverless computing, is essential for scaling AI applications. Familiarity with AI tools and frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenAI API, Hugging Face Transformers, FastAPI, Flask, Django, and GraphQL is beneficial. A strong focus on security and compliance, including data security, privacy, GDPR, AI ethics, and bias detection, is necessary. Additionally, soft skills like problem-solving, critical thinking, communication, collaboration, and continuous learning help AI Agent Developers adapt to new challenges and innovations., AI, AI Developer etc.