We’re looking for a AI/ML Tech Lead
Job Description:
We are looking for an AI/ML Tech Lead to provide hands-on technical leadership across AI and machine-learning engineering projects. You will guide teams from solution design through production deployment, set engineering standards, review code and architecture, mentor engineers, and ensure delivery of high-quality, scalable AI systems. AI/ML technical leads typically own technical direction, model and training-pipeline decisions, evaluation practices, inference infrastructure, and the integration of ML capabilities with product requirements.
Requirements and Duties:
Lead the technical design, development, deployment, and maintenance of AI/ML and Generative AI applications. Define engineering standards for model development, code quality, testing, documentation, model evaluation, and production deployment. Provide technical direction for ML pipelines, data processing, feature engineering, model serving, RAG systems, and AI agents. Conduct architecture reviews, design reviews, code reviews, and technical risk assessments across projects. Mentor AI/ML engineers and support their growth through technical guidance, feedback, and knowledge-sharing. Partner with product managers, architects, data teams, and business stakeholders to translate goals into technical plans. Drive decisions on frameworks, model selection, infrastructure, deployment approaches, and performance optimization. Ensure models and AI services meet requirements for quality, reliability, security, scalability, latency, and cost. Establish model monitoring, observability, experiment tracking, evaluation, retraining, and incident-response practices. Identify technical bottlenecks, manage technical debt, and create practical delivery roadmaps for the team.
Skill and Ability:
5+ years of experience in software engineering, machine learning, AI engineering, or data science. 1+ years of experience leading AI/ML technical delivery, mentoring engineers, or owning architecture decisions. Strong proficiency in Python and ML frameworks including PyTorch, TensorFlow, Scikit-learn, or Hugging Face. Experience building and deploying ML, NLP, computer vision, LLM, RAG, or agentic AI solutions in production. Solid understanding of ML lifecycle management: data preparation, training, evaluation, deployment, monitoring, and retraining. Experience with MLOps or LLMOps tools and practices, including model versioning, CI/CD, experiment tracking, and observability. Knowledge of cloud infrastructure, containers, APIs, distributed systems, databases, queues, and caching. Strong technical communication skills, with the ability to make and explain trade-offs to technical and non-technical stakeholders. Proven ability to lead code reviews, system design discussions, and technical problem-solving across delivery teams. Experience with AI agents, multi-agent systems, LLM fine-tuning, and GenAI evaluation frameworks. Familiarity with Kubernetes, Terraform, Airflow, Kubeflow, MLflow, LangSmith, or equivalent platforms. Experience working in client-facing delivery environments or across multiple concurrent AI projects. Contributions to open-source AI/ML projects, technical blogs, research, or internal engineering standards.
Konsatnt Infosolutions
Pvt Ltd
Information Technology & Service
Language
English
Location
Jaipur
Department
Artificial Intelligence
Job Type
Full time
Experience
5+ Years
Job Posted
26, Oct 2026
Current Openings
Current Job Vacancies
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