Tech Mahindra - AI/ML Developer - Python/NLP

Description :

Role : AI/ML Developer

Location : Pune ll Noida ll Bangalore ll Hyderabad ll Chennai

Employment Type : Full time

Experience Required : 6+ years

Job Overview :

Seeking an experienced AI/ML Developer specialized in API development and Natural Language Processing (NLP) or Artificial Intelligence (AI).

The role involves designing, developing, and maintaining efficient, scalable APIs and implementing cutting-edge NLP/AI algorithms and models to solve real-world problems.

The ideal candidate will work collaboratively with cross-functional teams to create innovative software solutions enhancing user experience and automation.

Key Responsibilities :

- Develop, test, and maintain scalable Python applications and RESTful APIs.

- Design and implement NLP models and AI algorithms for text processing, speech recognition, chatbot integration, sentiment analysis, or other language understanding tasks.

- Work on data preprocessing, feature extraction, and model training using machine learning frameworks.

- Integrate AI/NLP models into production environments via APIs.

- Analyze large datasets to improve model accuracy and application performance.

- Maintain code quality through best practices, version control (Git), and documentation.

- Stay updated with the latest developments in AI, NLP, and software technology.

Required Skills :

- Strong proficiency in Python programming and API development.

- Experience with NLP libraries such as NLTK, SpaCy, or transformers.

- Familiarity with machine learning and deep learning frameworks like TensorFlow, Keras, or PyTorch.

- Knowledge of NLP techniques including semantic extraction, text classification, and language modeling.

- Hands-on experience in designing and consuming RESTful APIs.

- Good problem-solving, analytical, and communication skills.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or related fields.

- Experience with version control systems like Git.

- Knowledge of containerization tools such as Docker and Kubernetes.

- Previous experience working in multilingual and multimodal NLP environments