Job Summary :
We are seeking a highly skilled and experienced AI / ML Engineer with over 7 years of hands-on expertise in designing, developing, and deploying machine learning and AI solutions. The ideal candidate will have a strong background in advanced data science techniques, algorithm optimization, and integrating AI models into scalable production systems. This role demands deep technical proficiency, problem-solving skills, and the ability to translate complex data into actionable business Responsibilities :
- Design, develop, and deploy machine learning models and AI-driven solutions across various business domains.
- Analyze large and complex datasets to extract meaningful patterns and insights.
- Apply deep learning, NLP, computer vision, and statistical modeling to solve real-world problems.
- Integrate AI / ML models into production using scalable and secure APIs.
- Optimize algorithm performance and automate model retraining workflows.
- Collaborate with data engineers, product teams, and stakeholders to align AI solutions with business goals.
- Perform data preprocessing, feature engineering, and model evaluation using industry best practices.
- Leverage cloud services (AWS, Azure, GCP) to deploy and manage machine learning Skills :
- Programming & Scripting : Python, SQL, OOPs
- Machine Learning & AI :
1. Machine Learning, Deep Learning, NLP, Computer Vision
2. Model Development & Evaluation, Data Preprocessing, Transfer Learning
3. Predictive Modeling, EDA, Feature Engineering
4. Object Detection (YOLOv8), Stable Diffusion (2.1, 2.x, tiny-sd), Segment Anything Model (SAM)
Frameworks & Tools : Python (scikit-learn, pandas, NumPy), TensorFlow, Keras, PySpark, Visualization & Reporting : Matplotlib, Seaborn, Advanced Cloud & DevOps :1. AWS (S3, Lambda, API Gateway, EC2, Glue, Athena, OpenSearch, Bedrock, SageMaker)
2. Azure (Azure ML Studio, Azure Functions, Azure SQL)
3. Google Cloud (Vertex AI), GitHub
Databases : MySQL, PostgreSQL, Qualifications :Bachelor's or Masters degree in Computer Science, Data Science, or a related fieldDemonstrated ability to work independently and in cross-functional teamsStrong communication and documentation skillsExperience in delivering end-to-end AI solutions in production environments(ref : hirist.tech)