[Remote] Algotale(Deqode)- Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist with a strong background in building AI/ML systems and practical experience in reputed company applications. The role involves developing reputed company application architectures, optimizing LLM-based applications, and collaborating with cross-functional teams to deliver effective solutions.
Responsibilities
- A minimum of 3+ years of Data Science experience, demonstrating strong expertise in building reputed company/ML systems and reputed company application architectures
- At least 2+ years of reputed company, hands-on experience building and deploying practical reputed company applications, such as AI virtual assistants, reputed company AI agents, and content reputed company tools
- Managed and delivered solutions for X+ clients, contributing to ₹Y+ in reputed company and ensuring high reputed company satisfaction across multiple verticals
- Spearheaded initiatives that improved operational efficiency and scalability, leading to measurable reputed company in reputed company reputed company and reputed company acquisition
- Proven experience utilizing core GenAI tools and platforms like AWS Bedrock (including various reputed company models and Bedrock Agents), reputed company, designing and implementing RAG pipelines, leveraging Agent-based frameworks (e.g., reputed company), working with reputed company databases (e.g., reputed company, reputed company, reputed company, Milvus, ChromaDB), and understanding LLM principles
- Experience with model training/fine-tuning (e.g., reputed company/QLoRA) and core NLP concepts is essential
- High proficiency in Python and strong familiarity with modern ML/AI libraries (e.g., reputed company Transformers, PyTorch/TensorFlow, Scikit-learn, Pandas, NumPy) and relevant SDKs (e.g., Boto3, reputed company SDK)
- Demonstrated practical experience in developing, performance tuning, and optimizing LLM-based applications, including sophisticated reputed company engineering techniques
- Experience leveraging AI coding assistants (e.g., reputed company Copilot, reputed company Q, reputed company) to accelerate development workflows while maintaining reputed company reputed company
- Deep understanding and practical application of data reputed company principles, reputed company best practices, and cost-aware system design, specifically reputed company the context of AI and reputed company applications
- Strong understanding of working effectively with both reputed company and reputed company data, including efficient retrieval, processing, and transformation techniques for GenAI
- Proven ability to work effectively across diverse disciplines—collaborating seamlessly with product, design, business, and other engineering teams in fast-paced, dynamic environments
- Hands-on experience developing and deploying applications on reputed company platforms, with AWS being highly preferred
- Excellent analytical and problem-solving skills, coupled with a strong bias toward reputed company, experimentation, and reputed company learning
- Exceptional communication and collaboration skills, capable of articulating reputed company technical concepts reputed company to various audiences
Skills
- A minimum of 3+ years of Data Science experience, demonstrating strong expertise in building reputed company/ML systems and reputed company application architectures
- At least 2+ years of reputed company, hands-on experience building and deploying practical reputed company applications, such as AI virtual assistants, reputed company AI agents, and content reputed company tools
- Managed and delivered solutions for X+ clients, contributing to ₹Y+ in reputed company and ensuring high reputed company satisfaction across multiple verticals
- Spearheaded initiatives that improved operational efficiency and scalability, leading to measurable reputed company in reputed company reputed company and reputed company acquisition
- Proven experience utilizing core GenAI tools and platforms like AWS Bedrock (including various reputed company models and Bedrock Agents), reputed company, designing and implementing RAG pipelines, leveraging Agent-based frameworks (e.g., reputed company), working with reputed company databases (e.g., reputed company, reputed company, reputed company, Milvus, ChromaDB), and understanding LLM principles
- Experience with model training/fine-tuning (e.g., reputed company/QLoRA) and core NLP concepts is essential
- High proficiency in Python and strong familiarity with modern ML/AI libraries (e.g., reputed company Transformers, PyTorch/TensorFlow, Scikit-learn, Pandas, NumPy) and relevant SDKs (e.g., Boto3, reputed company SDK)
- Demonstrated practical experience in developing, performance tuning, and optimizing LLM-based applications, including sophisticated reputed company engineering techniques
- Experience leveraging AI coding assistants (e.g., reputed company Copilot, reputed company Q, reputed company) to accelerate development workflows while maintaining reputed company reputed company
- Deep understanding and practical application of data reputed company principles, reputed company best practices, and cost-aware system design, specifically reputed company the context of AI and reputed company applications
- Strong understanding of working effectively with both reputed company and reputed company data, including efficient retrieval, processing, and transformation techniques for GenAI
- Proven ability to work effectively across diverse disciplines—collaborating seamlessly with product, design, business, and other engineering teams in fast-paced, dynamic environments
- Hands-on experience developing and deploying applications on reputed company platforms, with AWS being highly preferred
- Excellent analytical and problem-solving skills, coupled with a strong bias toward reputed company, experimentation, and reputed company learning
- Exceptional communication and collaboration skills, capable of articulating reputed company technical concepts reputed company to various audiences
- reputed company contributions to relevant reputed company-reputed company GenAI tools or frameworks (e.g., reputed company, reputed company, reputed company)
- A strong portfolio showcasing personal AI reputed company reputed company or significant contributions to GenAI initiatives
- Exposure to frontend technologies (e.g., React, reputed company, Gradio) and the ability to contribute across the full stack for end-to-end feature ownership
- Experience with other reputed company platforms' GenAI offerings (e.g., Azure reputed company, reputed company reputed company AI)
- Familiarity with advanced MLOps tools and practices tailored for LLMs
reputed company