Kenexai
Overview
Lead AI/ML Engineer
at Kenexai. Experience: 8+ years. Department: Artificial Intelligence / Machine Learning / Data Science. Job Type: Full Time. Job Location: Ahmedabad. 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. Be part of a team that’s shaping the future with intelligence. Roles And Responsibilities
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 Requirements
7+ years of experience in AI/ML engineering or applied machine learning. Deep expertise in Python, ML Algorithms and ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Strong understanding of cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Proven experience building production-grade ML systems at scale. Experience with MLOps tools and practices: model versioning, CI/CD, monitoring, and retraining. Solid software engineering background: Git, containerization (Docker), microservices, APIs. Knowledge of advanced ML concepts, including deep learning, NLP, recommendation systems, or generative models. Experience with transformer models, LLMs, Generative AI, RLHF, or foundation models. Experience in regulated environments (e.g., finance, healthcare) with attention to compliance and ethics in AI. Familiarity with tools like MLflow, Kubeflow, Ray, or Hugging Face Transformers. Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. Ph.D. 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
Flexible working hours to support work-life balance. 5-day work week. Healthy, inclusive, and collaborative work environment. Fun Fridays and festive celebrations to foster team spirit. Opportunities for continuous learning and career growth. Annual company trip for team building and relaxation. Comprehensive medical insurance benefits. Performance-based bonuses and annual salary revisions. Hybrid working model available (in-office and remote as per policy).
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Lead AI/ML Engineer
at Kenexai. Experience: 8+ years. Department: Artificial Intelligence / Machine Learning / Data Science. Job Type: Full Time. Job Location: Ahmedabad. 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. Be part of a team that’s shaping the future with intelligence. Roles And Responsibilities
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 Requirements
7+ years of experience in AI/ML engineering or applied machine learning. Deep expertise in Python, ML Algorithms and ML frameworks such as TensorFlow, PyTorch, scikit-learn, etc. Strong understanding of cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI). Proven experience building production-grade ML systems at scale. Experience with MLOps tools and practices: model versioning, CI/CD, monitoring, and retraining. Solid software engineering background: Git, containerization (Docker), microservices, APIs. Knowledge of advanced ML concepts, including deep learning, NLP, recommendation systems, or generative models. Experience with transformer models, LLMs, Generative AI, RLHF, or foundation models. Experience in regulated environments (e.g., finance, healthcare) with attention to compliance and ethics in AI. Familiarity with tools like MLflow, Kubeflow, Ray, or Hugging Face Transformers. Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field. Ph.D. 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
Flexible working hours to support work-life balance. 5-day work week. Healthy, inclusive, and collaborative work environment. Fun Fridays and festive celebrations to foster team spirit. Opportunities for continuous learning and career growth. Annual company trip for team building and relaxation. Comprehensive medical insurance benefits. Performance-based bonuses and annual salary revisions. Hybrid working model available (in-office and remote as per policy).
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