6 TechSophy Jobs
3-5 years
Techsophy - Artificial Intelligence/Machine Learning Engineer - Data Modeling (3-5 yrs)
TechSophy
posted 5d ago
Flexible timing
Key skills for the job
Role Overview :
Techsophy is seeking a highly motivated and skilled AI/ML Engineer to join our growing team.
As an individual contributor, you will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning solutions.
Your focus will be on building advanced ML models, integrating AI technologies like RPA and NLP, and collaborating with cross-functional teams to deliver innovative solutions that directly impact our business objectives.
This role offers an excellent opportunity to contribute to Techsophy's AI strategy and drive its continued growth.
Key Responsibilities :
Model Development & Implementation :
- Design, develop, and implement machine learning models for a variety of applications, including but not limited to predictive analytics, natural language processing, computer vision, and recommendation systems.
AI Integration :
- Integrate AI technologies such as Robotic Process Automation (RPA) and Natural Language Processing (NLP) to enhance automation and improve existing processes.
Full Lifecycle Ownership :
- Own the entire lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, deployment, and monitoring.
Collaboration & Communication :
- Collaborate effectively with cross-functional teams, including product managers, engineers, and business stakeholders, to understand requirements, communicate technical concepts, and ensure AI solutions meet business needs.
Innovation & Research :
- Stay up-to-date with the latest advancements in AI/ML research and explore new techniques and technologies to improve our solutions.
Mentorship & Guidance :
- Provide guidance and support to junior team members and contribute to fostering a culture of innovation and knowledge sharing.
Performance Monitoring & Optimization :
-Monitor the performance of deployed models, identify areas for improvement, and implement optimizations to ensure accuracy, efficiency, and scalability.
Documentation :
- Maintain clear and comprehensive documentation for all developed models and processes.
Required Qualifications :
Education :
- Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Master's degree preferred.
Experience :
- 3 - 5 years of proven experience in AI/ML development, with a strong portfolio of successful projects.
Technical Skills :
AI/ML Expertise :
- Deep understanding of various AI/ML algorithms, including supervised, unsupervised, and reinforcement learning techniques.
Deep Learning :
- Proficiency in deep learning frameworks such as TensorFlow and PyTorch, and experience building and training deep neural networks.
NLP & Computer Vision :
- Experience with NLP techniques (e., text classification, sentiment analysis, named entity recognition) and computer vision tasks (e. , image classification, object detection).
Programming Languages :
- Strong programming skills in Python and experience with relevant libraries (e., scikit-learn, pandas, numpy).
- Knowledge of R is a plus.
MLOps :
- Familiarity with MLOps principles and tools for model deployment, monitoring, and maintenance (e., Docker, Kubernetes, AWS SageMaker, GCP AI Platform, Azure Machine Learning).
Big Data Technologies :
- Experience with big data technologies such as Spark and Hadoop is a plus.
Cloud Computing :
- Experience with cloud platforms (AWS, GCP, or Azure) and their AI/ML services.
Data Preprocessing :
- Strong skills in data cleaning, transformation, and feature engineering.
Model Evaluation & Validation :
- Understanding of model evaluation metrics and techniques for hyperparameter tuning and model selection.
Version Control :
- Proficiency with Git and other version control systems.
Preferred Qualifications :
- Experience with specific AI/ML use cases relevant to Techsophy's business domain.
- Contributions to open-source AI/ML projects.
- Publications in relevant conferences or journals
Functional Areas: Other
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