Data Scientist (Manufacturing /Semiconductor Domain Experience mandatory)

Experience should be below 12 Years , cannot submit profile above 12+ Years

Job Title :- Data Scientist (Manufacturing /Semiconductor Domain Experience mandatory)

Location: Austin, TX Onsite role

Duration: Contract

Key Responsibilities

Keywords for each profile :-

Data scientist (details are mentioned in trailing email):-

Strong fundamentals on Deep learning

Good python coding skills / we are using databricks as development platform

Gone through complete development life cycle including deployment

Knowledge on hyperscalar cognitive services

Deep Learning Exp is Mandatory

Databricks exp is Mandatory

Python and CI/CD exp is also required

Experience in Computer vision would be preferred (not mandatory) knowledge will also work

Educational Qualifications:

B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.

A master s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred.

Experience:

8+ years of IT experience, with a minimum of 4+ years in data science

Proven experience in designing and deploying deep learning models, particularly in computer vision applications such as image classification, object detection, segmentation, and video analytics.

Technical Skills:

Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure:

Strong expertise in Azure cloud ecosystem,

Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

Soft Skills:

Strong analytical and problem-solving abilities.

Excellent communication skills interpersonal, written, visual (presentations), and verbal.

Ability to collaborate effectively across cross-functional teams and mentor junior team members.