Lead AI/ML Engineer

Job Title: Lead AI/ML Engineer

Experience: 8+ Years

Job Location: Ahmedabad

Department: Artificial Intelligence / Machine Learning / Data Science

Job Type: Full Time

Preferred Immediate Joiner

About Us:

Kenexai delivers smart, data-driven solutions that empower businesses across industries. Our mission is to combine deep, domain-specific expertise with cutting-edge technology to drive meaningful impact.

With a trusted team, consistent quality, and a growing global presence, we remain committed to delivering excellence while staying true to our core values: innovation, integrity, and client success. Be part of a team that’s not just building solutions but shaping the future with intelligence.

Roles and Responsibility:

Lead AI/ML Engineer

·      Design and lead development of scalable machine learning pipelines, training systems, and model deployment infrastructure.

·      Drive architecture decisions related to ML/AI platforms, including model lifecycle management and MLOps.

·      Own the end-to-end delivery of ML solutions: from prototyping to productionization, monitoring, and optimization.

·      Research and evaluate cutting-edge ML algorithms, frameworks, and tools; drive adoption where applicable.

·      Ensure responsible AI practices around explainability, fairness, bias, and model governance.

·      Lead and mentor a cross-functional team of ML engineers, data scientists, and software engineers.

·      Collaborate with product, engineering, and analytics teams to align AI/ML efforts with business objectives.

·      Develop and enforce best practices for machine learning development, experimentation, and deployment.

·      Contribute to the hiring and technical evaluation of new team members.

·      Present technical work to executive stakeholders and contribute to AI/ML strategic planning.

Skill Requirement:

·      7+ years of experience in AI/ML engineering or applied machine learning.

Python, ML Algorithms and ML

cloud-based ML platforms

production-grade ML systems

MLOps

·      Solid software engineering background: Git, containerization (Docker), microservices, APIs.

·      Knowledge of advanced ML concepts, including deep learning, NLP, recommendation systems, or generative models.

transformer models, LLMs, Generative AI, RLHF,

·      Experience in regulated environments (e.g., finance, healthcare) with attention to compliance and ethics in AI.

MLflow, Kubeflow, Ray

·      Bachelor’s or master’s degree in computer science, Machine Learning, Data Science, or related field.

·      Ph.D. in a relevant discipline is a strong plus.

Why Kenexai?

·      Be part of building something from the ground up in a high-growth, high-impact domain

·      Work alongside passionate experts in AI, data, and industry consulting

·      Competitive base + uncapped commission structure tied directly to performance

·      Remote-first flexibility with real ownership and career growth potential

Perks and Benefits:

·      Employees are entitled to flexible working hours to support work-life balance.

·      The company operates on a 5-day work week.

·      A healthy, inclusive, and collaborative work environment is maintained.

·      The company organizes Fun Fridays and festive celebrations to foster team spirit.

·      Employees have access to opportunities for continuous learning and career growth.

·      An annual company trip is organized for team building and relaxation.

·      Comprehensive medical insurance benefits are provided to employees.

·      Performance-based bonuses and annual salary revisions are offered.

·      A hybrid working model is available, allowing a mix of in-office and remote work as per company policy.