Senior Data Scientist / ML Engineer

Hello,

We have 3 urgent openings for a “ Senior Data Scientist / ML Engineer ". These are Hybrid in Stamford, CT or Midtown, NY (Hybrid – 3 to 4 days onsite)

Job Title: Senior Data Scientist / ML Engineer

Client: Southern Glazer’s Wine & Spirits

Location: 100% Remote

Employment Type: Contract (Long-Term)

Rate: $80 – $85/hr W2

Work Authorization: GC, USC, H4 EAD, L2 EAD, TN ONLY

About the Role

We’re looking for a Senior Data Scientist / Machine Learning Engineer with deep expertise in Recommendation Systems and Matrix Factorization to join the innovation-driven team at Southern Glazer’s Wine & Spirits. This is a high-impact, fully remote role working on next-generation personalization models and AI-driven recommendations at scale.

You’ll collaborate with cross-functional teams to design, train, and deploy machine learning models that power recommendation engines, hybrid search, and intelligent automation for real-world business applications.

Key Responsibilities

• Design and develop advanced machine learning algorithms and deep learning applications for recommendation systems.
• Fine-tune and deploy open-source models, including OpenAI (GPT-4)-based solutions, for intelligent recommendations and query responses.
• Implement and optimize hybrid search and retrieval-augmented generation (RAG) techniques for enhanced recommendation accuracy.
• Build high-performance search applications using ElasticSearch and OpenSearch.
• Develop and monitor ML pipelines, ensuring model retraining, versioning, and lifecycle management.
• Automate data ingestion and model workflows with Airflow (MWAA) and Databricks.
• Collaborate with Data Science, DevOps, and Engineering teams to operationalize ML systems at scale.
• Build evaluation frameworks that incorporate user feedback to continuously improve model performance.
• Manage large datasets and optimize training pipelines for deep learning models.
• Ensure robust, scalable, and secure deployments using AWS services such as Bedrock, Redshift, S3, EC2, and CloudWatch.

Required Skills & Experience

• Proven hands-on experience with Recommendation Systems and Matrix Factorization / Econometrics models.
• Strong background in Python and Java, with proficiency in ML frameworks like TensorFlow, PyTorch, scikit-learn, XGBoost, and Hugging Face.
• Expertise in ElasticSearch, OpenSearch, and hybrid search applications.
• Practical experience with AWS (Bedrock, Redshift, Airflow, Databricks, S3, EC2).
• Strong understanding of ML pipelines, MLOps automation, and continuous model monitoring.
• Demonstrated success deploying large-scale machine learning systems in production.
• Excellent communication skills and the ability to work cross-functionally with technical and business stakeholders.

Nice to Have

• Experience with Feature Stores (AWS SageMaker Feature Store, Feast).
• Familiarity with Kubeflow, SageMaker Pipelines, or Vertex AI.
• Exposure to LLM-based models, vector databases, and retrieval-augmented generation (RAG) architectures.
• Background in A/B testing, shadow deployments, or ML experimentation framework

ABOUT US:

Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.

If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to adam.h AT anaghtech.com. Thank you for your time.