2 - 5 years

8 - 12 Lacs

Posted:15 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Qualifications:

  • Technical Skills:
  • Strong Work Experience of 2-5 years in AI domain
  • Strong programming skills in Python (preferred), with proficiency in libraries like TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of ML operations (MLOps) and experience in deploying models in production environments.
  • Solid understanding of traditional ML models (e.g., regression, SVM, decision trees, random forests).
  • Exposure to large language models (e.g., OpenAI GPT, Llama, BERT) and fine-tuning techniques.

o Familiarity with NLP techniques, transformers, and generative AI models.

  • Data Expertise:
  • Hands-on experience with data cleanup, preprocessing, and feature engineering.
  • Proficiency with data handling tools such as Pandas, NumPy, and SQL.
  • Architecture and Systems:
  • Understanding of software architecture and experience contributing to system design.

o Knowledge of CI/CD pipelines for AI/ML projects.

  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) would be a big plus .
  • Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication skills with the ability to present ideas effectively.
  • Proven ability to work collaboratively in a team-oriented environment.
  • Education:
  • B.Tech/M.Tech/MCA in first Class (CS/IT/ECE) From Tier – 1 College

Key Responsibilities:

  • AI/ML Development:
  • Design, implement, and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.
  • Develop and fine-tune traditional machine learning models and integrate them into production systems.
  • Work on cutting-edge projects involving LLMs, including prompt engineering, fine-tuning, and inference optimization.
  • Data Engineering:
  • Perform data cleanup and preprocessing, ensuring data quality and consistency.
  • Develop and implement feature engineering pipelines to enhance model performance.
  • Collaborate with data engineers to manage large-scale datasets efficiently.
  • Software Development:
  • Write clean, maintainable, and efficient code in programming languages such as Python, or Go.
  • Build scalable, robust, and maintainable solutions for AI/ML models and their deployment.
  • Contribute to architecture design and participate in code reviews to ensure best practices.
  • Collaboration and Communication:
  • Clearly communicate technical concepts and progress to both technical and non-technical stakeholders.
  • Act as a team player, contributing to a collaborative and innovative work environment.
  • Continuous Learning:
  • Stay updated on the latest developments in AI/ML, including advancements in LLMs and model optimization techniques.
  • Explore and evaluate emerging AI tools and technologies for potential integration into workflows.

Job Types: Full-time, Permanent

Pay: ₹800,000.00 - ₹1,200,000.00 per year

Benefits:

  • Health insurance
  • Provident Fund

Application Question(s):

  • Current CTC:
  • Expected CTC:
  • Notice Period:

Experience:

  • AI/ML: 2 years (Required)

Work Location: In person

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