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AI DEVELOPERS

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in India
Mid level
In-Office or Remote
Hiring Remotely in India
Mid level
As an AI Developer, you will develop and implement AI solutions, engage in data engineering, collaborate with teams, and optimize AI models.
The summary above was generated by AI
At Zensar Technologies, we are looking for talented and passionate AI Developers to join our dynamic team. As an AI Developer, you will play a crucial role in developing and implementing AI-powered solutions across various domains. Your expertise will be instrumental in driving our company's AI strategy and delivering innovative products and services to our clients. Responsibilities
  • Develop, test, and deploy AI models and algorithms, utilizing machine learning and deep learning techniques.
  • Engage in data engineering tasks, including data collection, cleaning, and analysis, to train and optimize AI systems.
  • Integrate AI APIs, such as OpenAI and Gemini, to enhance the capabilities of our applications with LLMs.
  • Build AI-driven applications and seamlessly integrate them into existing software infrastructures.
  • Stay updated with the latest AI trends and research papers to refine and optimize our existing models.
  • Collaborate with cross-functional teams to understand business requirements and translate them into effective AI solutions.
  • Conduct performance evaluations and fine-tune AI models to ensure optimal accuracy and efficiency.
  • Document and maintain codebases, ensuring best practices and standards are followed.
  • Provide technical support and guidance to junior team members, fostering a collaborative environment.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong proficiency in programming languages such as Python, Java, R, or C++.
  • Experience with AI frameworks like PyTorch, TensorFlow, Scikit-learn, or Keras is highly preferred.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and their services is essential.
  • Excellent problem-solving skills and the ability to apply AI techniques to complex challenges.
  • A solid understanding of machine learning, neural networks, and natural language processing.
  • Experience in data modeling and a working knowledge of DevOps/MLOps practices.
  • Ability to work independently and manage multiple projects simultaneously.
  • Excellent communication and collaboration skills for effective teamwork.
  • A passion for staying updated with the latest advancements in AI and a desire to continuously learn and grow.
About UsAt Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Top Skills

AWS
Azure
C++
GCP
Java
Keras
Python
PyTorch
R
Scikit-Learn
TensorFlow

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