Immediate Hiring - Data Scientist (AI/ML) - Jersey City, NJ/Atlanta, GA/New York City, NY - Onsite

Overview

On Site
Accepts corp to corp applications
Contract - Term Contract

Skills

tensor flow
AI/ML
Deep speed
Torchserve

Job Details

Hi

Our client is looking Data Scientist AI/ML for Long Term Contract project in Jersey City, NJ/Atlanta, GA/New York City, NY - Onsite below is the detailed requirements.

Kindly share your Updated Resume to proceed further.

Job Role: Data Scientist AI/ML

Location: Jersey City, NJ/Atlanta, GA/New York City, NY - Onsite

Mode of Hiring: Long Term Contract

Job Description:

We are seeking a highly skilled and experienced Data Scientist (AI/ML) to join our growing AI/ML Engineering team. This role is ideal for candidates who are passionate about scaling AI systems, deploying models into production, and applying cutting-edge machine learning techniques to real-world problems. You will be responsible for developing end-to-end ML pipelines, architecting distributed training solutions, and contributing to our internal AI/ML infrastructure and tooling.

Responsibilities

  • Architect and implement distributed training strategies using frameworks such as Horovod and DeepSpeed.
  • Deploy and manage production ML models using Docker, Kubernetes, and model serving frameworks like TensorFlow Serving, TorchServe, and Seldon Core.
  • Develop and maintain CI/CD pipelines for ML workflows following MLOps best practices.
  • Implement model monitoring and drift detection systems to ensure robustness and reliability.
  • Profile, optimize, and benchmark ML models for low-latency inference in production environments.
  • Design and manage feature stores using platforms like Feast or Tecton.
  • Orchestrate data pipelines with tools such as Apache Airflow and Kubeflow Pipelines.
  • Collaborate with data engineering teams to integrate with diverse data storage solutions including distributed file systems and vector databases.
  • Contribute to the development of internal AI/ML tooling and infrastructure.
  • Troubleshoot and debug complex issues across the machine learning lifecycle, especially in distributed systems.

Key Skills & Qualifications

  • Bachelor's degree in Computer science or related field, with minimum 6-10 Years of relevant experience
  • Strong knowledge of machine learning paradigms: supervised, unsupervised, deep learning, and reinforcement learning.
  • Expert proficiency in Python and scientific computing libraries like NumPy, SciPy, and Pandas.
  • Deep experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
  • Proficient in distributed data processing frameworks like Apache Spark, Ray, or Dask.
  • Familiarity with feature engineering platforms like Feast or Tecton.
  • Solid experience with containerization (Docker) and orchestration (Kubernetes).
  • Hands-on experience with ML model serving frameworks: TensorFlow Serving, TorchServe, Seldon Core.
  • Skilled in building and maintaining data pipelines using orchestration tools like Airflow or Kubeflow.
  • Strong understanding of model monitoring, logging, and drift detection techniques.
  • Knowledge of data serialization and storage formats: Parquet, Avro, Protocol Buffers.
  • Ability to work collaboratively in a cross-functional team and communicate technical concepts clearly.
  • Excellent communication and teamwork skills.
  • Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
  • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.
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