Bulipe Tech is looking for AI Specialist (with Anyone from Job Description)

Key Points

Bulipe Tech, based in Bangladesh with parent companies in the USA and UK, leads global IT innovation. We seek a skilled manpower to drive our Digital Skill Development Initiative. If you`re an experienced leader, join us!

Job Description / Responsibility

Job Context:

We are seeking a highly skilled and innovative AI Specialist to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with hands-on experience in developing and deploying AI-driven solutions. This role requires expertise in designing algorithms, building predictive models, and leveraging AI technologies to solve complex business problems. The AI Specialist will work closely with cross-functional teams to drive innovation and optimize processes through cutting-edge AI applications.

Job Description:

1. Machine Learning Engineer

Design, develop, and deploy machine learning models to solve complex business problems. Collaborate with data scientists and engineers to preprocess data, optimize algorithms, and integrate AI solutions into production systems. Strong programming skills (Python, TensorFlow, PyTorch) and experience with cloud platforms (Azure, AWS, GCP) are required.

2. AI Research Scientist

Conduct cutting-edge research in AI, including deep learning, reinforcement learning, and generative models. Publish findings in top-tier conferences and contribute to the development of innovative AI technologies. Related fields and expertise in ML frameworks are essential.

3. Data Scientist – AI/ML Focus

Analyze large datasets to extract insights and build predictive models using machine learning techniques. Collaborate with stakeholders to define business problems and deliver data-driven solutions. Proficiency in Python, R, SQL, and ML libraries (Scikit-learn, Pandas) is required.

4. Computer Vision Engineer

Develop and deploy computer vision algorithms for image and video analysis. Work on tasks like object detection, segmentation, and facial recognition. Strong knowledge of OpenCV, TensorFlow, and deep learning architectures (CNN, R-CNN) is necessary.

5. Natural Language Processing (NLP) Engineer

Build and optimize NLP models for text classification, sentiment analysis, and language generation. Experience with transformers (BERT, GPT) and frameworks like Hugging Face is required. Collaborate with teams to integrate NLP solutions into applications.

6. AI Product Manager

Define and execute the vision for AI-driven products. Work with cross-functional teams to prioritize features, manage timelines, and ensure successful product launches. Strong understanding of AI technologies and excellent communication skills are essential.

7. AI Ethics Specialist

Develop frameworks to ensure ethical AI practices, including fairness, transparency, and accountability. Collaborate with teams to identify and mitigate biases in AI models. A background in ethics, law, or AI policy is preferred.

8. AI Solutions Architect

Design end-to-end AI solutions tailored to client needs. Collaborate with engineers and data scientists to integrate AI technologies into business processes. Strong knowledge of AI/ML frameworks and cloud platforms is required.

9. Robotics Engineer – AI Integration

Develop AI algorithms for autonomous robots, focusing on perception, navigation, and decision-making. Experience with ROS, SLAM, and reinforcement learning is preferred. Work on innovative robotics projects experience is required.

Educational Requirements
• Bachelor of Science (BSc) in Computer Science & Engineering
• Master of Science (MSc) in Computer Science & Engineering
• Skills Required: TensorFlow, NLP, Flask frameworks, ScikitLearn, PyTorch, Python and FastAPI framework

Experience Requirements
• At least 3 year(s)
• The applicants should have experience in the following business area(s):
• Software Company,IT Enabled Service

Additional Requirements
• Proven experience in AI, machine learning, and data science, with a strong portfolio of successful projects.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with AI frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
• Experience with natural language processing (NLP), computer vision, and deep learning techniques.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI/ML services.
• Strong analytical and problem-solving skills to tackle complex business challenges.
• Excellent communication and collaboration skills to work effectively with technical and non-technical stakeholders.
• Experience with big data tools and technologies (e.g., Hadoop, Spark) is a plus.
• A degree or certification in Computer Science, Data Science, Artificial Intelligence, or a related field is preferred.