HCL is hiring for Analyst

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Job Details

  1. Company: HCLTech
  2. Job Position: Analyst – Generative AI (Support & Operations)
  3. Job Location: Noida, Hyderabad, Chennai, Bengaluru, Pune
  4. Job Type: Full-time
  5. Experience: 0–3 years
  6. Qualification: Engineering degree
  7. Salary: Estimated ₹4 LPA–₹8 LPA, depending on skills, experience, and location. This is an estimated range, not an officially disclosed salary.
  8. Job Band: E1
  9. Job Category: Artificial Intelligence, Machine Learning, and Generative AI
  10. Eligible Candidates: Fresh graduates and candidates with up to 3 years of experience

Job Overview

HCLTech is hiring candidates for the Analyst – Generative AI position across multiple locations in India. This opportunity is suitable for engineering graduates with strong Python programming skills and practical experience in AI/ML projects. Selected candidates will work on AI agents using LangChain, LangGraph, and cloud-based AI platforms. The role involves data preparation, AI model optimization, testing, documentation, and collaboration with experienced team members. Freshers with academic, internship, or personal projects in AI, machine learning, or large language models can apply.

Key Responsibilities

  1. Develop AI agents using Python, LangChain, and LangGraph.
  2. Work with cloud-based AI platforms to build Generative AI applications.
  3. Understand business requirements and convert them into technical tasks.
  4. Collect and prepare data for AI model training and evaluation.
  5. Support the deployment and maintenance of AI/ML solutions.
  6. Collaborate with team members to develop AI-powered applications.
  7. Learn from senior developers and participate in technical mentoring.
  8. Stay updated on the latest developments in Generative AI and machine learning.
  9. Help optimize and fine-tune AI models for better performance.
  10. Improve the scalability and reliability of AI applications.
  11. Work with deep learning, natural language processing, and large language models.
  12. Assist in data processing and preparation using Python.
  13. Test AI solutions and evaluate their results.
  14. Maintain technical documentation for AI/ML projects.
  15. Contribute to continuous learning, innovation, and improvement within the team.
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Eligibility Criteria

  1. Candidates must have an engineering degree.
  2. Freshers and candidates with 0–3 years of experience are eligible.
  3. Strong knowledge of Python programming is required.
  4. Applicants should have completed academic, internship, or personal projects involving AI/ML or LLM-based applications.
  5. Familiarity with deep learning, NLP, large language models, or image processing techniques is beneficial.
  6. Candidates should understand data processing using Python.
  7. Strong analytical and problem-solving abilities are required.
  8. Applicants should be willing to learn new technologies in a fast-paced environment.
  9. Good communication and teamwork skills are expected.

Required Skills

  1. Python programming.
  2. Generative AI application development.
  3. LangChain and LangGraph.
  4. Artificial intelligence and machine learning fundamentals.
  5. Large language models (LLMs).
  6. Natural language processing (NLP).
  7. Deep learning fundamentals.
  8. Data collection and preprocessing.
  9. AI model evaluation and optimization.
  10. Cloud-based AI platforms.
  11. AI agent development.
  12. Image processing and segmentation fundamentals.
  13. Technical documentation and problem-solving.
  14. Communication and collaboration skills.

Why Join HCLTech?

  1. Start your career with a globally recognized technology company.
  2. Gain practical experience in Generative AI and machine learning.
  3. Work on AI agent development using modern frameworks.
  4. Learn from senior professionals through training and mentoring.
  5. Develop skills in Python, LLMs, and cloud-based AI platforms.
  6. Explore opportunities to work with clients across multiple industries.
  7. Strengthen your technical knowledge through real-world projects.
  8. Build a foundation for future roles in AI engineering, machine learning, and Generative AI development.

Important Links

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