AI ML Engineer

AI / ML EngineerExperience Required: 3 to 5 Years Employment Type: Full-Time Location: Onsite / Hybrid Company DescriptionAUGMENZA TECH PRIVATE LIMITED is a premier IT consultancy and staff augmentation company specializing in connecting businesses with highly skilled technology professionals. Operating across both domestic and international markets, the company is known for its commitment to quality, speed, and reliability. By focusing on empowering organizations, AUGMENZA TECH helps businesses scale their technical teams with top-tier developers and engineers to meet their technology needs.Role DescriptionThis is a full-time on-site role for an AI/ML Engineer located in Bhopal. The AI/ML Engineer will be responsible for designing, implementing, and optimizing machine learning models and algorithms. Daily tasks include solving complex problems related to pattern recognition, building neural network models, and analyzing statistical data. The role also involves collaborating with cross-functional teams to apply machine learning solutions to real-world applications.QualificationsStrong knowledge of Machine Learning, Pattern Recognition, and Neural NetworksSolid foundation in Computer Science, Algorithms, and StatisticsExperience with developing, testing, and deploying machine learning modelsProficiency in programming languages such as Python, R, or similarFamiliarity with frameworks like TensorFlow, PyTorch, or SKLearnExcellent problem-solving skills and the ability to work collaborativelyBachelor's or higher degree in Computer Science, Data Science, or a related fieldAI / ML Engineer – Roles & ResponsibilitiesDesign, develop, and deploy Machine Learning and AI models for real-world applicationsAnalyze large datasets to extract insights, patterns, and predictive signalsBuild, train, test, and optimize ML models (supervised, unsupervised, deep learning)Develop data preprocessing pipelines, feature engineering, and model evaluation workflowsIntegrate ML models into production systems via APIs and microservicesWork closely with data scientists, product managers, and engineering teamsMonitor model performance, accuracy, drift, and retrain models as neededImplement NLP, Computer Vision, or Recommendation systems where applicableEnsure scalability, security, and reliability of AI solutionsStay updated with latest AI/ML research, tools, and industry trendsTechnical Skills (Functional / Core Skills)Programming Languages: Python, R (preferred), Java (basic knowledge)ML Libraries & Frameworks:Scikit-learn, TensorFlow, PyTorch, KerasDeep Learning:Neural Networks, CNNs, RNNs, TransformersData Handling:NumPy, Pandas, SQL, Data Cleaning & Feature EngineeringNatural Language Processing (NLP):NLTK, SpaCy, Hugging Face, LLM integrationComputer Vision (Optional):OpenCV, Image Classification, Object DetectionModel Deployment:Flask/FastAPI, Docker, REST APIsCloud Platforms:AWS / Azure / GCP (SageMaker, Azure ML, Vertex AI)Version Control & Tools:Git, GitHub/GitLab, MLflowBig Data (Good to Have):Spark, HadoopCompetency Skills (Behavioral / Soft Skills)Strong analytical and problem-solving mindsetAbility to translate business problems into AI/ML solutionsEffective communication with technical and non-technical stakeholdersCollaborative team player with cross-functional coordination skillsOwnership mindset and accountability for model performanceAdaptability and eagerness to learn new AI technologiesTime management and ability to handle multiple projectsEthical awareness in AI development and data usage

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