PitchMeAI
FetchJobs.co

AI engineer ( python)

FetchJobs.co · United States

  • Hybrid
  • Full-time
  • $120,000 / year
  • United States
Tailored resumekeyword-matched to this role.
Hiring managerwe find who's hiring.
Intro emaildrafted to reach them directly.

Job highlights

  • Design, develop, and deploy advanced AI solutions.
  • Utilize Python and ML libraries for model training.
  • Work with large datasets for analysis and insights.
  • Collaborate with cross-functional teams on AI integration.
  • Contribute to cutting-edge AI research and development.

About the role

About The Company

Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and business solutions, renowned for its innovative approach and commitment to excellence. With a rich history spanning over five decades, TCS has established itself as a trusted partner for organizations across diverse industries, delivering cutting-edge technology solutions that drive digital transformation. The company’s extensive global presence, combined with a strong focus on research and development, enables it to stay at the forefront of technological advancements, particularly in artificial intelligence, machine learning, and data analytics. TCS values diversity, integrity, and sustainability, fostering an inclusive work environment that encourages continuous learning and growth for its employees.

About The Role

We are seeking a talented and motivated AI/GenAI/Agentic AI Engineer to join our innovative team at Tata Consultancy Services. In this role, you will be instrumental in designing, developing, deploying, and optimizing advanced AI solutions tailored for our clients and internal platforms. Your expertise will contribute to building intelligent systems that enhance business processes, improve decision-making, and create impactful user experiences. This position offers an exciting opportunity to work on state-of-the-art AI projects, collaborate with cross-disciplinary teams, and stay at the cutting edge of AI research and development.

Qualifications

The ideal candidate will possess a Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or a related field. Demonstrated experience through academic projects, internships, or previous employment in machine learning, AI, or data-driven initiatives is essential. Strong proficiency in Python programming, with familiarity in libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch, is required. Candidates should have a solid understanding of algorithms, data structures, and core machine learning concepts, including data preprocessing, feature engineering, and model evaluation. Experience working with large datasets—cleaning, transforming, and analyzing both structured and unstructured data—is highly desirable. Knowledge of version control systems like Git, as well as proficiency with Jupyter notebooks and VS Code workflows, will be advantageous.

Responsibilities

The successful candidate will be responsible for contributing to the full lifecycle of AI solutions, including design, development, and deployment. Key responsibilities include designing, training, and fine-tuning machine learning models for various tasks such as classification, regression, natural language processing, and computer vision. Writing clean, efficient, and well-documented Python code to facilitate data preprocessing, model training, and deployment is fundamental. You will work with large datasets, performing data cleaning, transformation, and analysis to extract meaningful insights. Collaborating with cross-functional teams—including data engineers, researchers, and product managers—is crucial to seamlessly integrating AI/ML solutions into applications and workflows. Conducting experiments, evaluating model performance using appropriate metrics, and presenting findings through clear visualizations will be part of your routine. Staying updated on emerging AI/ML and Agentic AI research and contributing innovative ideas to improve products and processes is highly encouraged.

Benefits

Tata Consultancy Services offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health insurance, retirement plans, and paid time off. Employees have access to ongoing training and development programs, including certifications and workshops, to enhance their skills and career progression. TCS promotes a collaborative and inclusive work environment, providing opportunities for international exposure and participation in innovative projects. Additionally, the company supports work-life balance through flexible work arrangements and wellness initiatives aimed at fostering a healthy, productive workforce.

Equal Opportunity

Tata Consultancy Services is committed to creating a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, religion, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that a diverse workforce enhances innovation and creativity, and we are dedicated to providing equal employment opportunities to all qualified candidates. Our hiring practices are designed to ensure fairness and promote an inclusive environment where everyone can thrive and contribute to our shared success.

Key skills/competency

  • AI Engineer
  • Machine Learning
  • Python
  • Data Science
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analysis
  • Algorithm Development
  • Cloud Computing

Skills & topics

  • AI Engineer
  • Python
  • Machine Learning
  • GenAI
  • Agentic AI
  • Data Science
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Data Analysis
  • Tata Consultancy Services
  • TCS

How to get hired

  • Tailor your resume: Highlight Python, AI/ML, and specific libraries (NumPy, Pandas, TensorFlow, PyTorch).
  • Showcase projects: Emphasize academic, internship, or professional experience with AI/data initiatives.
  • Prepare for technical interviews: Brush up on algorithms, data structures, and ML concepts.
  • Demonstrate understanding: Be ready to discuss your experience with large datasets and Git.
  • Research TCS values: Align your application with TCS's commitment to innovation and diversity.

Technical preparation

Master Python and core ML libraries.,Practice algorithm and data structure problems.,Build projects with TensorFlow or PyTorch.,Familiarize with Git and Jupyter notebooks.

Behavioral questions

Describe a challenging AI project you led.,How do you handle large, complex datasets?,Explain a time you collaborated cross-functionally.,How do you stay updated on AI research?

Frequently asked questions

What specific AI fields are prioritized for this AI Engineer role at TCS?
This AI Engineer position at TCS prioritizes expertise in AI, Generative AI (GenAI), and Agentic AI. The role involves designing, developing, and optimizing advanced AI solutions within these domains.
What are the essential programming languages and libraries for the AI Engineer position at TCS?
The AI Engineer role at TCS requires strong proficiency in Python. Essential libraries include NumPy, Pandas, scikit-learn, TensorFlow, and PyTorch for machine learning tasks.
What kind of datasets will an AI Engineer at TCS work with?
An AI Engineer at TCS will work with large datasets, performing cleaning, transformation, and analysis on both structured and unstructured data for various AI and machine learning initiatives.
How important is experience with Git and other development tools for this AI Engineer job?
Experience with version control systems like Git is advantageous for this AI Engineer role at TCS. Proficiency with Jupyter notebooks and VS Code workflows is also beneficial for development processes.
What academic background is preferred for the AI Engineer role at Tata Consultancy Services?
Tata Consultancy Services prefers candidates for the AI Engineer role with a Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Applied Math, or a closely related field.
Does TCS offer opportunities for professional development for AI Engineers?
Yes, TCS offers comprehensive training and development programs, including certifications and workshops, to enhance the skills and career progression of its AI Engineers.
How does TCS support work-life balance for its AI Engineers?
TCS promotes work-life balance through flexible work arrangements and wellness initiatives designed to foster a healthy and productive workforce for all employees, including AI Engineers.