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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