Data Scientist

About Us:

GyanSys is a global mid-tier systems integrator company for over 20 years headquartered in the US with 3000+ employees across 12 countries serving 160+ active enterprise customers across Manufacturing, Industrial, Consumer, Life Sciences and High-Tech industries.

GyanSys provides Digital Transformation services leveraging SAP, Salesforce, Databricks, Snowflake, Application Modernization and various AI projects.

Role: Data Scientist

Location: Bangalore

Full time

JD:

Educational Qualifications

• Bachelor's or Master's degree (B.E./B.Tech/M.Tech/MCA) in Computer Science, Electronics & Communication, Electrical Engineering, or a related discipline.
• A Master's degree in Computer Science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly desirable.

Experience:

8+ years of overall IT experience, including at least 8+ years of hands-on experience in Data Science.

Must-Have Technical Skills

• Strong Python programming skills with practical experience using deep learning frameworks such as TensorFlow and PyTorch.
• Experience in data preprocessing, data augmentation, and managing large-scale image and video datasets for model development.
• Strong understanding of transformer architectures, RNNs, transfer learning techniques, vision transformer models (e.g., ViT), and fine-tuning of language models.
• Mandatory exposure to Natural Language Processing (NLP) techniques.
• Experience building AI agents using frameworks such as LangGraph.
• Ability to design and optimize prompt engineering workflows for large language models (e.g., GPT, Claude, LLaMA).
• Strong proficiency in Python and up-to-date software development best practices.
• Knowledge of enterprise-level AI security, compliance, and governance requirements.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated model deployment.
• GenAI, agentic workflows, RAG pipelines

Nice-to-Have Technical Skills

• Understanding of and hands-on experience with Convolutional Neural Networks (CNNs) and Reinforcement Learning.
• Cloud & Infrastructure
• Strong expertise in Databricks and the Azure cloud ecosystem.
• Experience working in UNIX/Linux environments, including the use of command-line tools for scripting and automation.

Soft Skills

• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, including interpersonal, written, visual (presentations), and verbal communication.
• Ability to collaborate effectively with cross-functional teams and mentor junior team members.

Basic Screening Questionnaire

Kindly share best profiles with details feedback from internal team. Also please share below prescreening questionnaire:

Q. Years of experience in Machine Learning

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Q. Do you have experience in Deep Learning if yes, how many years

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Q. Which Deep Learning Framework have you worked with how do you rate yourself in it out of 10

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Q. Have you trained or finetuned a deep learning model if finetuned, name few pretrained models you have finetuned

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Q. Which NLP libraries or frameworks have you used (e.g., NLTK, spaCy, Hugging Face Transformers)

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Q. Have you worked on CV projects What types of tasks (e.g., object detection, image segmentation) have you handled

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Q. Which CV architectures or pre-trained models have you utilized (e.g., CNNs, ResNet, YOLO)

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Q. Do you have experience/exposure on working with LLM if yes, Which LLM have you used (e.g., GPT3.5, Gemini, Llama)

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