AI/ML Data Scientist

Job Title: AI/ML Data Scientist



Location: Sacramento, CA (Onsite/Hybrid/Remote – Based on Client Requirement)



Job Type: Contract / Full-time



Job Description:



We are seeking an experienced AI/ML Data Scientist to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in Python, TensorFlow, PyTorch, NLP, Deep Learning, and Cloud platforms.



Responsibilities:





Develop and deploy machine learning models for predictive analytics, classification, and recommendation systems.

Work with deep learning frameworks (TensorFlow, PyTorch, Keras) to build AI models.

Implement NLP models, including text classification, named entity recognition, and sentiment analysis.

Design and optimize computer vision models for image and video analytics.

Collaborate with data engineers to process and analyze large datasets.

Deploy ML models using MLOps pipelines, Docker, and Kubernetes.

Utilize AWS SageMaker, Google Vertex AI, or Azure ML for cloud-based model training and deployment.

Work with Big Data technologies (Hadoop, Spark, Databricks, Snowflake, etc.).

Develop AI-driven solutions for healthcare, finance, or government projects (as applicable).

Stay updated with cutting-edge AI/ML research and implement best practices.





Required Skills & Experience:



5+ years of experience in AI/ML model development.

Proficiency in Python, R, or Scala for data science applications.

Strong knowledge of ML/DL frameworks like TensorFlow, PyTorch, Keras, Scikit-Learn.

Experience in NLP, Computer Vision, and Reinforcement Learning.

Hands-on experience with Cloud AI services (AWS, Azure, or GCP).

Strong skills in data preprocessing, feature engineering, and model tuning.

Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.).

Knowledge of MLOps, CI/CD pipelines, and Model Deployment.



Preferred Skills:





Experience with Graph Neural Networks (GNN), LLMs, or Generative AI.

Familiarity with AutoML, Hugging Face, or OpenAI models.

Experience with Big Data tools (Apache Spark, Databricks, or Snowflake).

Strong mathematical and statistical skills for AI model evaluation.

Prior experience in Healthcare, Government, or Financial Services AI applications.





Education & Certifications:



Master's/Ph.D. in Computer Science, Data Science, AI, or related field.

Preferred: AWS/Azure/GCP AI/ML Certifications.



Work Authorization:



Open to US Citizens, Green Card Holders, H1B, L2 EAD, TN, OPT, and CPT candidates.