Job Title : Lead AI/ML Engineer

Job Purpose :

We are seeking a highly experienced Lead AI/ML Engineer to drive the design, development, and deployment of advanced AI solutions across the organization. The ideal candidate will have 610 years of experience in AI/ML, with strong expertise in Generative AI, Large Language Models (LLMs), Computer Vision, and AI platform architecture.

As a Lead AI/ML Engineer, you will define AI strategy, architect scalable AI systems, and lead a team of engineers and data scientists to build production-ready AI solutions. You will play a critical role in translating business problems into innovative AI-driven products, leveraging technologies such as LLMs, Retrieval-Augmented Generation (RAG), AI agents, and multimodal AI systems.

You will collaborate closely with Product, Engineering, and Data teams to build intelligent, scalable, and high-performance AI platforms that power next-generation applications.

Key Responsibilities :

AI Strategy &

- Technical Leadership :
- Lead the architecture, design, and implementation of enterprise-scale AI/ML solutions.
- Define and drive the AI/ML roadmap, ensuring alignment with business objectives and product strategy.
- Provide technical leadership and mentorship to AI/ML engineers and data scientists.
- Establish best practices for AI model development, experimentation, deployment, and monitoring.

Generative AI &

- LLM Systems :
- Design and develop Generative AI applications using LLMs such as GPT, LLaMA, Gemini, or custom models.
- Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
- Lead initiatives for LLM fine-tuning, prompt engineering, and model optimization.
- Design AI agent architectures using frameworks like LangChain, LangGraph, and LlamaIndex.

AI/ML Model Development :

- Develop and deploy NLP, Computer Vision, and multimodal AI models for real-world business applications.
- Implement advanced deep learning architectures using PyTorch, TensorFlow, or Keras.
- Identify and evaluate pre-trained and foundation models suitable for specific use cases.
- Drive data preprocessing,



feature engineering, and dataset curation for model training.

AI Platform &

- Infrastructure :
- Design scalable AI infrastructure and MLOps pipelines for model training, deployment, and monitoring.
- Deploy AI solutions across cloud platforms (AWS, Azure, GCP) or hybrid/on-premise environments.
- Build APIs, microservices, and pipelines to integrate AI capabilities into enterprise applications.
- Lead efforts in model optimization, inference acceleration, and resource efficiency.

Performance Optimization &

- Quality :
- Conduct model evaluation, benchmarking, and continuous performance optimization.
- Optimize AI systems for latency, scalability, and cost efficiency.
- Implement testing, monitoring, and observability frameworks for AI systems in production.

Collaboration &

- Innovation :
- Work closely with Product, Engineering, and Data teams to define AI-powered product features.
- Stay at the forefront of AI research and emerging technologies, evaluating their business impact.
- Promote a culture of experimentation, innovation, and knowledge sharing within the AI team.

Required Skills &

Experience :

AI &

- Machine Learning :
- 6 - 10 years of experience in AI/ML development and deployment.
- Strong expertise in supervised and unsupervised learning techniques, including regression, classification, clustering, SVMs, and neural networks.

Generative AI &

- LLMs :
- Hands-on experience with LLM training, fine-tuning, prompt engineering, and optimization.
- Experience building GenAI applications such as chatbots, AI assistants, and document intelligence systems.

NLP &

- Computer Vision :
- Strong experience in Natural Language Processing and Computer Vision.
- Hands-on expertise with Transformers, OpenCV, YOLO,



and R-CNN architecture.

AI Agents &

- Frameworks :
- Experience with multi-agent frameworks such as LangChain, LangGraph, and LlamaIndex.

Deep Learning Frameworks :

- Proficiency in PyTorch, TensorFlow, or Keras.

Programming :

- Strong programming skills in Python with experience in API development and microservices.

Cloud &

- AI Infrastructure :
- Experience deploying AI models on AWS, Azure, or Google Cloud Platform.
- Familiarity with MLOps pipelines, model serving, and AI lifecycle management.

Vector Databases :

- Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate.

Performance Optimization :

- Experience optimizing LLM inference for speed, cost, and memory efficiency.

Leadership &

- Collaboration :
- Proven ability to lead AI projects and mentor engineering teams.
- Strong communication skills with the ability to translate business requirements into AI solutions.

Positive to Have :

- Experience with multimodal AI (text, image, video, speech).
- Familiarity with Docker, Kubernetes, and containerized AI deployment.
- Experience with model serving frameworks such as FastAPI, Flask, or NVIDIA Triton.
- Exposure to distributed training and large-scale model training pipelines.

Qualifications : ME (IT, Computer), BE (IT, Computer), MCA, MSC-IT, BCA

Required Competencies :

- Must possess excellent communication skills oral and written.
- Must possess knowledge of latest technology trends.
- Must be a keen learner should be able to drive Self Learning.
- Must practice principle of First Time Right.
- Must have an Eye for Details.
- Must have high Customer Orientation.
- Must be adaptable to working in multiple / matrix work environment.
- Must possess good systems thinking.
- Must possess good negotiation, analytical and interpersonal skills. Good leadership & team player qualities.
- High on personal integrity with ability to establish relationships and work in teams and should be able to influence stakeholders. Should poses independence, robust ethics and resilience.

📌 Lead AI/ML Engineer - NLP/Computer Vision (India)
🏢 Starvoke Consultancy Services
📍 India