<p></p><p><b>Job Summary :</b></p><p><p><b><br/></b></p>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 :</b></p><p><b><br/></b></p>- Design, develop, and deploy machine learning models and AI-driven solutions across various business domains.<br/><br/></p><p>- Analyze large and complex datasets to extract meaningful patterns and insights.<br/><br/></p><p>- Apply deep learning, NLP, computer vision, and statistical modeling to solve real-world problems.<br/><br/></p><p>- Integrate AI/ML models into production using scalable and secure APIs.<br/><br/></p><p>- Optimize algorithm performance and automate model retraining workflows.<br/><br/></p><p>- Collaborate with data engineers, product teams, and stakeholders to align AI solutions with business goals.<br/><br/></p><p>- Perform data preprocessing, feature engineering, and model evaluation using industry best practices.<br/><br/></p><p>- Leverage cloud services (AWS, Azure, GCP) to deploy and manage machine learning Skills :</b></p><p><b><br/></b></p><p><b>- Programming & Scripting : </b>Python, SQL, OOPs<br/><b><br/></b></p><p><b>- Machine Learning & AI :</b></p></p><p><b><br/></b>1.
Machine Learning, Deep Learning, NLP, Computer Vision<br/><br/></p><p>2.
Model Development & Evaluation, Data Preprocessing, Transfer Learning<br/><br/></p><p>3.
Predictive Modeling, EDA, Feature Engineering<br/><br/></p><p>4.
Object Detection (YOLOv8), Stable Diffusion (2.1, 2.x, tiny-sd), Segment Anything Model (SAM)<br/><b><br/></b></p><p><p><b>- Frameworks & Tools : </b>Python (scikit-learn, pandas, NumPy), TensorFlow, Keras, PySpark, Visualization & Reporting : </b>Matplotlib, Seaborn, Advanced Cloud & DevOps :</b></p><p><b><br/></b></p>1.
AWS (S3, Lambda, API Gateway, EC2, Glue, Athena, OpenSearch, Bedrock, SageMaker)<br/><br/></p><p>2.
Azure (Azure ML Studio, Azure Functions, Azure SQL)<br/><br/></p><p>3.
Google Cloud (Vertex AI), GitHub<br/><b><br/></b></p><p><p><b>- Databases : </b>MySQL, PostgreSQL, Qualifications :</b></p><p><b><br/></b></p>- Bachelor's or Masters degree in Computer Science, Data Science, or a related field<br/><br/></p><p>- Demonstrated ability to work independently and in cross-functional teams<br/><br/></p><p>- Strong communication and documentation skills<br/><br/></p><p>- Experience in delivering end-to-end AI solutions in production environments</p><p></p> (ref:hirist.tech)