Senior AI / Machine Learning Engineer

Job Title: Senior AI / Machine Learning Engineer

Location: Remote 
Experience Required: 10+ Years
Employment Type:  Contract W2 only

Job Summary:

We are seeking a highly skilled and experienced Senior AI/ML Engineer with over 10 years of expertise in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions at scale. The ideal candidate will have a strong background in data science, deep learning, NLP, and cloud-based ML platforms, along with the ability to lead end-to-end AI model development — from data collection to production deployment.

You will collaborate with cross-functional teams including data engineers, software developers, and business stakeholders to build intelligent systems that drive automation, optimization, and decision-making.

Key Responsibilities:

• Design, develop, and deploy scalable AI/ML models and algorithms for real-world business problems.

• Perform data preprocessing, feature engineering, and data visualization to prepare high-quality training datasets.

• Build and optimize models using Deep Learning, NLP, Computer Vision, or Predictive Analytics.

• Evaluate model performance and continuously improve accuracy, robustness, and efficiency.

• Work with Big Data technologies and develop production-ready pipelines for large-scale data processing.

• Collaborate with software and DevOps teams to integrate ML models into enterprise applications.

• Lead research and experimentation with cutting-edge AI frameworks and LLMs (Large Language Models).

• Develop MLOps frameworks for continuous integration, model monitoring, and retraining.

• Mentor junior engineers and guide best practices in model development and deployment.

• Stay updated with the latest advancements in AI/ML, cloud technologies, and open-source tools.

Technical Skills Required:

• Languages: Python, R, Java, or Scala

• Libraries & Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, spaCy, Transformers (Hugging Face)

• Data Analysis: NumPy, Pandas, Matplotlib, Seaborn

• Supervised / Unsupervised Learning

• Deep Learning (CNN, RNN, LSTM, GANs, Transformers)

• Natural Language Processing (NER, Text Classification, Sentiment Analysis)

• Recommendation Systems

• Time Series Forecasting

• Reinforcement Learning

• Big Data Tools: Hadoop, Spark, Kafka

• MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes

• Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask

• Cloud Platforms: AWS SageMaker, Azure ML, Google Cloud Platform AI Platform

• CI/CD: Jenkins, GitLab, GitHub Actions

• SQL / NoSQL (PostgreSQL, MongoDB, Cassandra)

• Data Lakes & Warehouses (Snowflake, Redshift, BigQuery)

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (Ph.D. preferred).

• 10+ years of professional experience in AI/ML model development and deployment.

• Proven track record of delivering AI-driven solutions in production environments.

• Strong understanding of mathematics, statistics, and algorithms.

• Excellent communication and leadership skills.

Preferred / Nice to Have:

• Experience with LLMs (e.g., GPT, BERT, LLaMA) and fine-tuning transformer models.

• Experience in Generative AI (text, image, or audio generation).

• Knowledge of Edge AI, Federated Learning, or Explainable AI (XAI).

• Familiarity with Data Governance, AI Ethics, and Responsible AI frameworks.