What are the responsibilities and job description for the Data Scientist Deep Learning/Neural Networks position at CCS Global Tech?
CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
Required Skills & Qualifications:
- Strong understanding of machine learning and deep learning concepts
- Hands-on experience with neural networks (CNNs, RNNs, LSTMs, Transformers, etc.)
- Proficiency in Python and ML/DL libraries such as TensorFlow, PyTorch, Keras
- Experience with data manipulation tools like Pandas, NumPy
- Familiarity with model deployment (APIs, cloud platforms like AWS/Google Cloud Platform/Azure)
- Solid understanding of statistics, probability, and linear algebra
- Experience working with large datasets and data pipelines
Key Responsibilities:
- Design and develop deep learning models using neural network architectures
- Work on end-to-end ML pipelines: data preprocessing, model development, evaluation, and deployment
- Apply advanced techniques such as CNNs, RNNs, Transformers, or other neural architectures depending on use case
- Optimize model performance and scalability for production environments
- Collaborate with cross-functional teams (engineering, product, business) to translate requirements into AI solutions
- Stay updated with the latest advancements in deep learning and AI research
- Perform data analysis and feature engineering to improve model accuracy
- Document models, experiments, and workflows
Preferred Qualifications:
- Experience with NLP, Computer Vision, or Generative AI
- Exposure to MLOps tools and frameworks
- Knowledge of distributed computing (Spark, Hadoop)
- Experience with version control (Git) and containerization (Docker)
Soft Skills:
- Strong problem-solving ability
- Good communication and collaboration skills
- Ability to work in a fast-paced, agile environment