Job Description
<p><p><b>Job Summary :</b></p><p><p><b><br/></b></p>We are seeking a skilled and motivated AI/ML Engineer to join our technology team.<br/>In this role, you will be responsible for designing, developing, deploying, and maintaining machine learning and artificial intelligence models that power intelligent applications.<br/>Youll work on problems involving prediction, automation, personalization, NLP, computer vision, and more - helping drive data-driven innovation across the organization.<br/>This is a hands-on role that requires both strong software engineering fundamentals and deep knowledge of machine learning techniques.</p><p><br/></p><p><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop, train, evaluate, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks.<br/><br/></p><p>- Use libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost for model development.<br/><br/></p><p>- Conduct feature engineering, data preprocessing, hyperparameter tuning, and model validation.<br/><br/></p><p>- Deploy ML models to production environments using APIs, containers (Docker), or cloud services like AWS SageMaker, Azure ML, or GCP AI Platform.<br/><br/></p><p>- Collaborate with software engineers and DevOps teams to integrate models into applications and ensure high availability and scalability.<br/><br/></p><p>- Work with structured and unstructured datasets from databases, APIs, or data lakes.<br/><br/></p><p>- Perform data cleaning, transformation, normalization, and exploratory data analysis (EDA) to extract insights and improve model accuracy.<br/><br/></p><p>- Monitor model performance post-deployment to detect drift or degradation.<br/><br/></p><p>- Build tools and processes to retrain, update, and version-control models.<br/><br/></p><p>- Document model behavior, performance metrics, and decisions for auditability.<br/><br/></p><p>- Translate complex business problems into ML/AI solutions.<br/><br/></p><p>- Communicate findings and recommendations to both technical and non-technical stakeholders.<br/><br/></p><p>- Stay updated with the latest research, tools, and best practices in Skills & Qualifications :</b></p><p><br/></p><p>- 2 - 5+ years of hands-on experience in AI/ML or Data Science roles.</p><p><br/></p>- Proficiency in Python, including libraries like NumPy, pandas, scikit-learn, matplotlib, etc.<br/><br/></p><p>- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost).<br/><br/></p><p>- Strong understanding of data structures, algorithms, probability, statistics, and ML algorithms.<br/><br/></p><p>- Experience with model deployment and serving (e.g., Flask APIs, FastAPI, SageMaker, Docker, </p><p>Kubernetes).<br/><br/></p><p>- Familiarity with SQL and/or NoSQL databases.<br/><br/></p><p>- Experience with cloud services (AWS, GCP, or Azure) and MLOps tools is a plus</p><br/></p> (ref:hirist.tech)