Job Description
Embark on an exciting journey as an AI/ML Engineer and help shape the future of artificial intelligence solutions for US-based clients. You'll work on groundbreaking projects spanning natural language processing, computer vision, predictive analytics, and generative AI. This role offers the opportunity to work with cutting-edge technologies, tackle complex challenges, and deploy ML models that drive real business value. You'll collaborate with a talented team of data scientists and engineers, contributing to innovative AI solutions that transform how businesses operate. From research and experimentation to production deployment, you'll be involved in the entire ML lifecycle, working on projects that push the boundaries of what's possible with AI.
Key Responsibilities
- Design, develop, and deploy production-ready machine learning models and AI systems for diverse client applications
- Work on advanced NLP projects including text classification, sentiment analysis, named entity recognition, chatbots, and LLM integration
- Develop computer vision solutions for image/video analysis, object detection, facial recognition, and visual content understanding
- Collaborate closely with data scientists, software engineers, and US-based clients to understand requirements and deliver tailored AI solutions
- Optimize ML models for production environments, focusing on performance, scalability, latency, and resource efficiency
- Research, experiment with, and implement the latest AI/ML technologies, frameworks, and methodologies
- Build robust ML pipelines including data ingestion, preprocessing, training, validation, and deployment workflows
- Conduct thorough model evaluation, A/B testing, and performance monitoring to ensure model reliability and accuracy
- Document ML workflows, model architectures, experiments, and best practices for knowledge sharing
- Troubleshoot and debug ML systems, addressing issues related to data quality, model performance, and infrastructure
- Stay abreast of AI research trends, attend conferences, and contribute to the team's technical knowledge base
- Mentor junior ML engineers and contribute to building a world-class AI engineering team
Requirements
- 3+ years of hands-on experience in machine learning and AI development with a strong portfolio of successful projects
- Expert-level proficiency in Python and deep understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Strong background in deep learning architectures (CNNs, RNNs, Transformers, GANs) and their applications
- Experience with natural language processing (NLP) techniques including transformers, BERT, GPT models, and LLM fine-tuning
- Proficiency in computer vision tasks including image classification, object detection, segmentation, and video analysis
- Hands-on experience with cloud ML services (AWS SageMaker, Google Cloud AI Platform, Azure ML) and MLOps practices
- Strong understanding of data preprocessing, feature engineering, model evaluation, and hyperparameter tuning
- Experience with ML model deployment, containerization, and serving frameworks (TensorFlow Serving, TorchServe, FastAPI)
- Knowledge of data engineering tools and practices (Pandas, NumPy, Spark, data pipelines)
- Familiarity with version control for ML (DVC, MLflow, Weights & Biases) and experiment tracking
- Excellent English communication skills (written and verbal) with the ability to explain complex ML concepts to non-technical stakeholders
- Strong problem-solving skills, mathematical foundation (linear algebra, calculus, statistics), and research-oriented mindset
- Portfolio demonstrating diverse ML projects, published papers, or contributions to open-source ML projects is highly valued
What We Offer
- Competitive base salary ranging from $3,000 to $5,000 per month, based on skills and experience
- Potential to significantly increase earnings by taking on multiple client projects simultaneously
- Remote work flexibility
- Flexible payment options: Bank transfer, PayPal, Payoneer, or cryptocurrency, tailored to your preference and location
- Professional development opportunities: Access to training programs, certification support, and continuous skill enhancement
- As Inpirtalent team grows, so will your career: take on leadership roles and manage a team of developers, mentor junior developers, and contribute to the growth of the company
Apply for this Position
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⚠️ Important: We do not accept applicants from the United States. Our business model focuses on connecting global talent from outside the US with US-based clients.