AI/ML Software Developer

4 weeks ago

Pune, Maharashtra, India Onelab Ventures Full time
Job Title: AI/ML Software Developer

We are seeking a highly skilled AI/ML Software Developer to join our team at Onelab Ventures. As a key member of our development team, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence and machine learning solutions.

Key Responsibilities:
  • Design and develop machine learning models and algorithms to solve real-world problems and improve business processes.
  • Work with large, complex datasets by cleaning, organizing, and preparing the data for training and validation of machine learning models.
  • Train machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn, and fine-tune models to improve accuracy and performance.
  • Deploy models into production environments using platforms such as AWS SageMaker, Azure ML, or Google AI, and monitor their performance in real-time applications.
  • Stay updated on the latest research in machine learning and AI, and apply relevant findings to improve model accuracy, efficiency, and scalability.
  • Work closely with data scientists, data engineers, and software developers to integrate AI models into existing systems and workflows.
  • Use evaluation metrics such as accuracy, precision, recall, F1-score, and ROC-AUC to assess model performance and identify opportunities for improvement.
  • Automate data workflows and model training pipelines using cloud services like AWS, Azure, or GCP, and tools such as Docker and Kubernetes.
  • Maintain clear and concise documentation of the models, pipelines, and processes developed, ensuring they can be understood and maintained by the team.
Requirements:
  • 2-5 years of experience in AI/ML development, with a focus on building, training, and deploying machine learning models in a production environment.
  • Proficiency in programming languages such as Python, R, or Java. Experience with machine learning libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of databases, data structures, and ETL processes. Experience working with SQL, NoSQL, or other databases.
  • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud, particularly in deploying machine learning models and managing infrastructure.
  • Knowledge of Docker and Kubernetes for containerizing machine learning applications and managing large-scale deployments.
  • Solid understanding of supervised and unsupervised learning techniques, deep learning, natural language processing (NLP), and reinforcement learning.
  • Strong analytical skills and the ability to think critically about how to solve complex problems with machine learning solutions.
  • Excellent communication and collaboration skills to work with cross-functional teams and convey technical information to non-technical stakeholders.
Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. A Ph.D. in a relevant area is a plus.
  • Certifications in AI/ML, such as AWS Certified Machine Learning Specialty, Microsoft Certified Azure AI Engineer, or Google Professional ML Engineer, are highly desirable.
  • Experience with tools like Jupyter, Git, and MLflow for model versioning and experimentation tracking.

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