Sr. Data Scientist, AI Division

Roles & Responsibilities:

•    Design and implement scalable, cloud-based data solutions using AWS, Azure, or GCP (mandatory). •    Build, optimize, and maintain ETL/ELT pipelines for efficient data processing. •    Manage and design cloud-based data storage systems such as data warehouses and data lakes. •    Ensure data quality, security, and compliance in cloud environments. •    Implement real-time and batch data processing frameworks. •    Analyze large datasets to uncover trends, patterns, and actionable insights. •    Develop predictive, prescriptive, and descriptive models using advanced machine learning techniques. •    Build, train, and deploy Generative AI models (e.g., transformers, GANs, diffusion models) for tasks like text generation, image synthesis, and more. •    Implement GenAI pipelines using libraries and frameworks such as Hugging Face, OpenAI, or PyTorch. •    Continuously monitor, optimize, and maintain GenAI models in production. •    Create data-driven solutions for business problems through experimentation and analysis.

Skills and Qualifications Technical Skills

•    Cloud Expertise (Mandatory):
Proficiency in Cloud (AWS,GCP,AZURE) •    Programming: Advanced Python skills with experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Hugging Face. •    Data Engineering: Expertise in SQL and NoSQL databases, data modeling, and big data tools like Spark. •    GenAI:

• Deep understanding of transformer architectures (e.g., GPT, BERT, T5).
• Experience with training and fine-tuning large language models (LLMs).
• Proficiency in tools like Hugging Face Transformers, LangChain, and OpenAI APIs.

•    DevOps for AI/ML: Knowledge in CI/CD for machine learning and GenAI pipelines, model versioning, and monitoring.

Analytical Skills •    Strong knowledge of statistics, probability, and machine learning algorithms. •    Ability to design experiments and implement hypothesis-driven approaches. •    Proficiency in handling unstructured, structured, and semi-structured data. Soft Skills •    Strong problem-solving and critical-thinking abilities. •    Excellent communication and collaboration skills with a stakeholder-focused approach. •    Ability to adapt to rapidly evolving technology trends and business needs.

Experience: •    Mandatory: 5+ years of experience in roles involving cloud platforms, data science, Python development, and experience with GenAI models. •    Proven track record of designing and deploying scalable cloud-based data solutions and delivering impactful AI/ML and GenAI models.

This role is ideal for professionals passionate about leveraging GenAI models and cloud technologies to drive innovation and deliver transformative business solutions.