Title: AI-ML Engineer

Location: Bhubaneswar

Role: We are looking for a highly motivated AI/ML Engineer with 4-6 years of industry experience and a strong foundation in artificial intelligence, machine learning, and deep learning.

The ideal candidate will have hands-on experience in developing and deploying machine learning models and exposure to projects involving AI/ML, GenAI, Agentic AI, Digital Twins, Robotics, or advanced analytics.

This role is ideal for professionals passionate about solving real-world problems using AI/ML techniques and working on deep learning, image and video analytics, voice and text analytics, and cloud-based AI deployments.

- Education: BTech or MTech in Computer Science, Computer Science Engineering, Data Science, AI/ML, or a related field.
- Experience: 4-6 years of hands-on experience in AI/ML model development and implementation, including experience working on real-world projects through professional roles or internships.

- Technical Expertise:
- Robust programming skills in Python.
- Expertise in machine learning, deep learning, and applied AI techniques.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras.
- Strong knowledge of data analysis using NumPy, Pandas, and visualization tools.
- Experience in developing models for structured and unstructured data.
- Hands-on experience in computer vision tasks such as image classification, object detection, segmentation, and video analytics.
- Knowledge of advanced computer vision techniques such as YOLO, CNNs, and tracking algorithms.
- Experience in NLP tasks including text classification, sentiment analysis, topic modeling, and conversational AI.
- Exposure to audio and speech analytics, including feature extraction and signal processing.
- Frameworks & Tools:




- Familiarity with Scikit-learn and ML model evaluation techniques.
- Experience with cloud platforms such as AWS or Azure.
- Exposure to tools such as SageMaker, Azure ML, Databricks, or container-based deployment methods.
- Understanding of ML pipeline development, APIs, and microservices-based architectures.

- Additional Knowledge:
- Understanding of deep learning architectures such as CNNs, RNNs, and Transformers.
- Knowledge of NLP techniques and text processing frameworks.
- Understanding of model deployment strategies, including APIs, containers, and cloud platforms.

- Preferred Qualification:
- Experience working on computer vision, NLP, GenAI, or predictive analytics projects.
- Participation in Kaggle competitions, AI hackathons, or open-source AI initiatives.
- Contributions to GitHub repositories, technical blogs, or published AI/ML projects are an added advantage.

- Soft Skills:
- Strong analytical and problem-solving abilities.
- Structured thinking and cognitive skills.
- Good presentation and communication skills.
- High energy, curiosity, and willingness to learn.
- Ability to work independently and collaborate effectively in a team environment.

+ You would be responsible for

- Design, develop, and deploy machine learning and deep learning models for enterprise use cases.
- Lead the development of AI/ML solutions across the full lifecycle,



including data preparation, model development, evaluation, deployment, and monitoring.
- Develop algorithms and models for structured and unstructured data analysis.
- Build and optimize models using frameworks such as TensorFlow, PyTorch, and Keras.
- Implement solutions for computer vision tasks including image classification, object detection, segmentation, and video analytics.
- Apply advanced computer vision techniques such as YOLO, CNNs, and tracking algorithms in real-world applications.
- Design and implement NLP-based solutions such as text classification, sentiment analysis, topic modeling, and conversational AI components.
- Work with audio and speech analytics, including feature extraction and signal processing when applicable.
- Conduct Exploratory Data Analysis (EDA) and advanced data analysis using Python libraries such as NumPy, Pandas, and visualization tools.
- Perform data preprocessing, feature engineering, and dataset optimization for ML pipelines.
- Develop scalable ML pipelines and workflows using cloud-based platforms such as AWS or Azure.
- Deploy and operationalize models using tools such as SageMaker, Azure ML, Databricks, or container-based deployment methods.
- Integrate ML models with enterprise systems through APIs, microservices, or batch processing pipelines.
- Monitor model performance, perform tuning, and implement continuous improvement and optimization strategies.
- Maintain proper documentation, experiment tracking, and model versioning using industry best practices.
- Mentor junior engineers and support knowledge sharing within the AI/ML team.
- Stay updated with emerging technologies in AI/ML, Generative AI, Agentic AI, and advanced analytics.

📌 AI ML Engineer (Bhubaneswar)
🏢 Talent Hired-the Job Store
📍 Bhubaneswar