Gen AI - GCP

Job Title: Gen AI

Total Exp: 11 - 14 Years

Location - Bengaluru & Gurugram

Skills:

Gen AI - GCP, Python, SQL, AL/ML, Agentic.

Position Overview: We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment.

Responsibilities:

Architecture Design:

• Design and implement scalable, secure, and high-performance architectures for Generative AI applications.
• Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.

Model Development and Deployment:

• Fine-tune pre-trained generative models for domain-specific use cases.
• Data Collection, Sanitization and Data Preparation strategy for Model fine tuning.
• Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning.
• Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc.
• Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow).

Innovation and Strategy:

• Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
• Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.
• Good exposure to Agentic Design patterns

Collaboration and Leadership:

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
• Mentor and guide team members on AI/ML best practices and architectural decisions.
• Should be able to lead a team of data scientists, GenAI engineers and Software Developers.

Performance Optimization:

• Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy.
• Optimize computational costs and infrastructure utilization for large-scale deployments.

Ethical and Responsible AI:

• Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks.
• Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI.

Required Skills:

• Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
• Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
• Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc.
• Proven track record with event-driven architectures and real-time data processing systems.
• Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
• Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP.
• Knowledge of containerization technologies such as Kubernetes and Docker.
• Comprehensive understanding of data lakes and strategies for data management.
• Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel.
• Proficiency in cloud computing platforms such as Azure or AWS.
• Exceptional leadership, problem-solving, and analytical abilities.
• Superior communication and collaboration skills, with experience managing high-performing teams.
• Ability to operate effectively in a dynamic, fast-paced environment.