The role

As a Senior ML/NLP Developer, you will lead our efforts in developing and deploying AI-driven applications, with a focus on machine learning and natural language processing.

You will collaborate with cross-functional teams to identify business opportunities, develop innovative solutions, and drive the implementation of AI technologies to enhance our products and services.

Key responsibilities

Lead the design, development, and deployment of machine learning models and NLP algorithms to address business challenges and opportunities.
Collaborate with product managers, data scientists, and software engineers to define project requirements, goals, and success metrics.
Mentor and coach junior developers, providing guidance, feedback, and support to help them develop their skills and expertise in ML/NLP.
Stay updated on the latest advancements in AI and machine learning research, and incorporate relevant innovations into our development process.
Work closely with stakeholders to understand their needs and requirements, and translate them into actionable technical solutions.
Develop and maintain scalable and efficient codebase, ensuring high performance and reliability of AI-driven applications.
Conduct code reviews, testing, and debugging to ensure the quality and accuracy of ML models and algorithms.

Key skills and experience required

Minimum 2 years of experience working with machine learning and natural language processing.
Deep understanding of AI and machine learning concepts, with practical experience in deploying AI-driven applications.
A strong understanding of Python programming language is essential. This includes knowledge of syntax, data structures, algorithms, and object-oriented programming principles.
Proficiency in Version Control Systems like Git.
Familiarity with Linux/Unix command-line interface.
Depending on the nature of the software, familiarity with web frameworks like Django or Flask may be necessary for developing web applications or APIs.
Pytorch, Tensorflow, LLAMA, Milvus, OLLAMA, LM studio, Mistral, Mixtral, Open source LLM
ASR speech to text, Open source TTS, Gradio, Streamlit, Huggingface
Knowledge of containerization tools like Docker and orchestration tools.
Understanding of web servers like Nginx or Apache.
Proficiency in CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.
Knowledge of configuration management tools, such as Ansible, Chef, Puppet.
Familiarity with monitoring and logging tools.
Understanding of security best practices such as encryption, authentication, authorization, and secure coding techniques is essential.
Basic knowledge of networking concepts like TCP/IP, DNS, firewalls, and load balancers.
Proficiency in scripting languages like Bash or Python scripting.
Strong analytical and problem-solving skills, with the ability to develop innovative solutions to complex challenges.
Excellent communication and collaboration skills, with the ability to lead a team and work effectively in a dynamic environment.

AI/ML Engineer

Bengaluru

Software Development

Full Time - Onsite

Job Description