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Tata Consultancy Services Linkedin · Posted 1mo ago

AI ML Engineer

Bengaluru, Karnataka, India

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Indexed description

TCS Hiring for AI ML Engineer


Experience Range: - 05 To 10 Years (Mandatory)

(Note: Candidates below 5 years of IT experience shall not be considered)

Job Locations : Chennai, Bengaluru, Hyderabad, Pune, Kochi


JOB DESCRIPTION


The job description includes developing, testing, and deploying AI/ML models and applications, often using cloud services and generative AI models. Key responsibilities involve data preprocessing, model optimization, and collaborating with cross-functional teams to ensure production-ready quality in applications that can include deep learning, chatbots, and image processing.



Core responsibilities:


  • Design, build, and maintain machine/ deep learning systems and applications.
  • Develop and implement AI solutions using tools like deep learning, neural networks, and generative AI models.
  • Clean, preprocess, and analyze large datasets to ensure data quality and integrity.
  • Optimize AI algorithms for performance and scalability.
  • Deploy models into production environments and manage application pipelines.
  • Collaborate with other teams, including data scientists, engineers, and product managers, to define requirements and troubleshoot issues.
  • Conduct research on emerging AI technologies and best practices.


Required skills and experience


1) Technical Proficiency:


Expertise in programming languages like Python, and machine learning libraries such as scikit-learn, TensorFlow, PyTorch and LangChain.


2) Machine Learning & Statistics:


Strong understanding of statistical analysis, machine learning, vectorization, retrieval augmented generation, Gen AI concepts and model evaluation.


3) Data Handling:


Experience with data manipulation, feature engineering, and handling large datasets.


4) Software Engineering:


Knowledge of software architecture, data structures, and algorithms.


5) Cloud & AI:

Experience with cloud AI services (e.g., Google Cloud ML, AWS) and deploying models in cloud or on-prem environments.



Good To Have Skills:



  • Experience with Agile/Scrum methodologies.
  • Knowledge of change management and training strategies.
  • QA and testing methodologies


Minimum Qualification

15 years of Full Time Education

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