Greetings from JTSi Technologies India Pvt Ltd.!
We are seeking an innovative and experienced AI Team Lead to join our product development team. You will play a pivotal role in designing and implementing AI-driven solutions by leading AI initiatives, collaborating with developers, and driving the integration of intelligent features into our products.
JTSi Technologies India Private Limited is a US based IT Co, with 20+ years into business. Our global offices are in Washington DC & New Jersey USA, and our Indian HQ is in Bangalore.
Duties & Responsibilities:
· Develop and execute AI/ML strategies to enhance product functionality.
· Design, build, and deploy scalable AI models for predictive analysis, automation, and decision-making.
· Research, prototype, and apply cutting-edge AI technologies, including NLP, computer vision, and recommendation systems.
· Lead and mentor a team of AI developers, fostering an environment of collaboration and continuous learning.
· Work closely with product managers, developers, and stakeholders to align AI solutions with business goals.
· Oversee project deliverables and ensure timely completion of AI-related tasks.
· Collaborate with Angular and .NET development teams to seamlessly integrate AI features into HRMS and Survey Tools.
· Build and maintain APIs to support AI functionalities in the product.
· Perform data mining, cleaning, preparation, and augmentation for training robust ML models.
· Ensure AI solutions are user-centric, efficient, and scalable.
· Stay updated on emerging trends in AI, ML, and deep learning.
· Explore opportunities to incorporate innovative AI capabilities into the product roadmap.
· Continuously refine AI models to improve accuracy and performance.
· Conduct code reviews and ensure adherence to best practices in AI development.
· Optimize models and systems for performance, reliability, and scalability.
· Troubleshoot and resolve technical issues related to AI components.
Required Skills:
· Programming Skills: Proficiency in Python, with a deep understanding of its libraries and frameworks for AI and machine learning. Knowledge of additional programming languages such as R, Java, C++, and GO is a plus.
· Machine Learning Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn for building and deploying models.
· Data Processing and Analysis: Expertise in Pandas and NumPy for data manipulation and analysis.
· NLP Libraries: Strong experience with spaCy, NLTK, Hugging Face Transformers, Gensim, and TextBlob.
· Pre-trained Models: Familiarity with BERT, GPT, Word2Vec, T5, and RoBERTa for NLP tasks.
· Mathematics: Strong background in linear algebra, statistics, calculus, and probability.
· Cloud Computing: Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for scalable model deployment and training.
· Version Control: Solid experience using Git for version control and collaboration.
Desired Skills:
· CoreNLP and Fairseq for advanced NLP tasks and sequence-to-sequence modeling.
· AllenNLP for cutting-edge NLP research and model building.
· T5 and RoBERTa for transformer-based NLP applications.
· Matplotlib and Seaborn for data visualization and result interpretation.
· Big Data Tools: Experience with Apache Spark and Hadoop for processing large datasets and distributed computing.
· Containerization and Deployment: Familiarity with Docker, Kubernetes, and MLflow for model containerization, orchestration, and deployment in production.
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