Tech Lead - Gen AI
Gen AI Lead
Job Summary:
We are seeking a highly experienced and innovative Gen AI Lead to design, develop, and deploy advanced Generative AI-powered solutions. The ideal candidate will have a strong background in AI/ML, extensive programming skills, and expertise in Large Language Models (LLMs). This role requires leadership, collaboration with cross-functional teams, and the ability to drive impactful AI solutions while aligning with business goals and regulatory standards.
Key Responsibilities:
- Lead the conceptualization, design, and deployment of Gen AI solutions leveraging LLMs to improve efficiency, accuracy, and business outcomes.
- Collaborate with domain experts, data scientists, and engineers to create innovative AI-driven products.
- Stay updated on the latest advancements in LLM technology, market trends, and regulatory requirements for various geographies.
- Develop scalable, API-based AI solutions and fine-tune popular LLMs such as OpenAI GPT, PaLM 2, Dolly, Claude 2, or Cohere.
- Utilize prompt engineering techniques and implement LLM agents (e.g., LangChain) alongside vector databases like Pinecone, Chroma, or FAISS.
- Conduct experiments to evaluate pricing models, performance metrics, and ROI for LLM implementations in specific use cases.
- Build, validate, and maintain data pipelines and infrastructure to support Gen AI solutions while monitoring success metrics.
Required Qualifications:
- 5–10 years of industry experience, with hands-on work in data analytics and AI/ML techniques.
- Proficiency in Python, PySpark, or Java for Gen AI orchestration.
- Expertise in integrating and fine-tuning LLMs, with a deep understanding of prompt engineering.
- Strong knowledge of cloud platforms (Azure, GCP, AWS) and their services for storage, serverless logic, search, transcription, and chat.
- Familiarity with data privacy, compliance, and regulatory considerations in global markets.
- Ability to recommend optimal AI solutions based on experiments and business ROI analysis.
Preferred Qualifications:
- Hands-on experience with big data technologies such as Hadoop and Spark.
- Knowledge of MLOps/LLMOps platforms like MLFlow for model development and deployment.
- A master’s degree in computer science, Statistics, Mathematics, or a related field.
Gen AI Lead
Job Summary:
We are seeking a highly experienced and innovative Gen AI Lead to design, develop, and deploy advanced Generative AI-powered solutions. The ideal candidate will have a strong background in AI/ML, extensive programming skills, and expertise in Large Language Models (LLMs). This role requires leadership, collaboration with cross-functional teams, and the ability to drive impactful AI solutions while aligning with business goals and regulatory standards.
Key Responsibilities:
- Lead the conceptualization, design, and deployment of Gen AI solutions leveraging LLMs to improve efficiency, accuracy, and business outcomes.
- Collaborate with domain experts, data scientists, and engineers to create innovative AI-driven products.
- Stay updated on the latest advancements in LLM technology, market trends, and regulatory requirements for various geographies.
- Develop scalable, API-based AI solutions and fine-tune popular LLMs such as OpenAI GPT, PaLM 2, Dolly, Claude 2, or Cohere.
- Utilize prompt engineering techniques and implement LLM agents (e.g., LangChain) alongside vector databases like Pinecone, Chroma, or FAISS.
- Conduct experiments to evaluate pricing models, performance metrics, and ROI for LLM implementations in specific use cases.
- Build, validate, and maintain data pipelines and infrastructure to support Gen AI solutions while monitoring success metrics.
Required Qualifications:
- 5–10 years of industry experience, with hands-on work in data analytics and AI/ML techniques.
- Proficiency in Python, PySpark, or Java for Gen AI orchestration.
- Expertise in integrating and fine-tuning LLMs, with a deep understanding of prompt engineering.
- Strong knowledge of cloud platforms (Azure, GCP, AWS) and their services for storage, serverless logic, search, transcription, and chat.
- Familiarity with data privacy, compliance, and regulatory considerations in global markets.
- Ability to recommend optimal AI solutions based on experiments and business ROI analysis.
Preferred Qualifications:
- Hands-on experience with big data technologies such as Hadoop and Spark.
- Knowledge of MLOps/LLMOps platforms like MLFlow for model development and deployment.
- A master’s degree in computer science, Statistics, Mathematics, or a related field.