AI Engineer - Python

Tecnots; Bengaluru; On-site; INR 1,800,000 - 3,500,000; Full time

Job summary

Tecnots in Bangalore seeks an AI Engineer with 5+ years of experience to design, develop, and deploy scalable AI/ML solutions using Python. You will work on production-grade models across diverse industries, collaborating with data scientists, cloud architects, and product managers to translate complex requirements into tangible AI products.

You will leverage TensorFlow, PyTorch, and scikit-learn, build robust data pipelines, and advance MLOps in a cloud-native environment to deliver high-impact

Qualifications

• 5+ years of experience designing, developing, and deploying ML/DL models.
• Strong command of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with MLOps: versioning, deployment, monitoring in production.
• Familiarity with cloud platforms (AWS/Azure/GCP) and containerization.
• Solid data structures, algorithms, and software engineering practices.

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions and models using Python.
• Implement and optimize machine learning and deep learning algorithms including NLP.
• Collaborate with data scientists and product managers to translate requirements into specs.
• Develop and maintain data pipelines for training, evaluation, and inference.
• Conduct testing, validation, and fine-tuning of AI models for accuracy and reliability.
• Monitor deployed AI systems and improve performance and availability.
• Research new AI/ML technologies to enhance solutions and drive innovation.

Skills

Python

NumPy

Pandas

SciPy

TensorFlow

PyTorch

scikit-learn

MLOps

AWS

Azure

GCP

Docker

Kubernetes

NLP

Data pipelines

Tools

Kubeflow

MLflow

Docker

Kubernetes

Job description

Engineering Full_time - Bangalore India 5+ years

Join Tecnots as an AI Engineer, a pivotal role at the forefront of our mission to drive digital transformation for global clients. In this exciting position, you will leverage your expertise in Python and advanced AI/ML techniques to design, develop, and deploy intelligent solutions that redefine industries. This is an unparalleled opportunity to work on complex, real-world problems across diverse sectors, contributing directly to our core specializations in AI & Data Analytics, and enabling our clients to achieve unprecedented levels of efficiency and innovation through cloud-native and data-driven strategies.As an AI Engineer with 5+ years of experience, you will be instrumental in building robust, scalable, and high-performance AI systems, from conceptualization through to production. You will collaborate closely with cross-functional teams, including data scientists, cloud architects, and business analysts, to translate intricate requirements into tangible, impactful AI products. Your work will involve pioneering new algorithms, optimizing existing models, and integrating AI capabilities into large-scale enterprise solutions, ensuring Tecnots remains a leader in delivering cutting-edge technology and exceptional value to our global clientele.

• Design, develop, and deploy scalable AI/ML solutions and models using Python.
• Implement and optimize machine learning algorithms, deep learning architectures, and natural language processing (NLP) techniques.
• Collaborate with data scientists and product managers to understand requirements and translate them into technical specifications.
• Develop and maintain robust data pipelines for model training, evaluation, and inference.
• Conduct rigorous testing, validation, and fine-tuning of AI models to ensure accuracy, performance, and reliability.
• Monitor and troubleshoot deployed AI systems, ensuring high availability and continuous improvement.
• Research and evaluate new AI/ML technologies and methodologies to enhance existing solutions and drive innovation.

What you'll need

• Proficiency in Python and its associated libraries for AI/ML development (e.g., NumPy, Pandas, SciPy).
• Extensive experience (5+ years) in designing, developing, and deploying machine learning and deep learning models.
• Strong command of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Demonstrated ability to develop, optimize, and evaluate algorithms for performance and scalability.
• Experience with MLOps practices, including model versioning, deployment, and monitoring in a production environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of data structures, algorithms, and software engineering best practices.

Nice to have

• Experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Docker, Kubernetes)
• Familiarity with various cloud platforms (AWS, Azure, GCP) for scalable AI deployments
• Contributions to open-source AI projects or relevant academic publications
• Knowledge of big data technologies such as Apache Spark or Kafka
• Proficiency in advanced deep learning frameworks like PyTorch or JAX