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Amantya Technolgies - Artificial Intelligence/Machine Learning Engineer Job Opening In Gurugram – Now Hiring Amantya Technologies

Amantya Technolgies Artificial Intelligence/Machine Learning Engineer

    India Jobs Expertini Expertini India Jobs Gurugram Computer Occupations Amantya Technolgies Artificial Intelligence/machine Learning Engineer

Job description

<p><p><b>Description : </b><br/><br/><b>Key Qualifications : </b><br/><br/><b>Technical Skills : </b><br/><br/>- Strong Work Experience of 2-5 years in AI domain<br/><br/>- Strong programming skills in Python (preferred), with proficiency in libraries like TensorFlow, PyTorch, or Scikit-learn.<br/><br/>- Knowledge of ML operations (MLOps) and experience in deploying models in production environments.<br/><br/>- Solid understanding of traditional ML models (e.g., regression, SVM, decision trees, random forests).<br/><br/>- Exposure to large language models (e.g., OpenAI GPT, Llama, BERT) and fine-tuning techniques.<br/><br/>- Familiarity with NLP techniques, transformers, and generative AI models.<br/><br/><b>Data Expertise : </b><br/><br/>- Hands-on experience with data cleanup, preprocessing, and feature engineering.<br/><br/>- Proficiency with data handling tools such as Pandas, NumPy, and SQL.<br/><br/><b>Architecture and Systems : </b><br/><br/>- Understanding of software architecture and experience contributing to system design.<br/><br/>- Knowledge of CI/CD pipelines for AI/ML projects.<br/><br/>- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) would be a big plus .<br/><br/><b>Soft Skills : </b><br/><br/>- Strong analytical and problem-solving abilities.<br/><br/>- Excellent communication skills with the ability to present ideas effectively.<br/><br/>- Proven ability to work collaboratively in a team-oriented environment.<br/><br/><b>Education : </b><br/><br/>- B.Tech/M.Tech/MCA in first Class (CS/IT/ECE) From Tier 1 College<br/><br/><b>Key Responsibilities : </b><br/><br/><b>AI/ML Development : </b><br/><br/>- Design, implement, and optimize AI pipelines, including data ingestion, preprocessing, model training, and deployment.<br/><br/>- Develop and fine-tune traditional machine learning models and integrate them into production systems.<br/><br/>- Work on cutting-edge projects involving LLMs, including prompt engineering, fine-tuning, and inference optimization.<br/><br/><b>Data Engineering : </b><br/><br/>- Perform data cleanup and preprocessing, ensuring data quality and consistency.<br/><br/>- Develop and implement feature engineering pipelines to enhance model performance.<br/><br/>- Collaborate with data engineers to manage large-scale datasets efficiently.<br/><br/><b>Software Development : </b><br/><br/>- Write clean, maintainable, and efficient code in programming languages such as Python, or Go.<br/><br/>- Build scalable, robust, and maintainable solutions for AI/ML models and their deployment.<br/><br/>- Contribute to architecture design and participate in code reviews to ensure best practices.<br/><br/><b>Collaboration and Communication : </b><br/><br/>- Clearly communicate technical concepts and progress to both technical and non-technical stakeholders.<br/><br/>- Act as a team player, contributing to a collaborative and innovative work environment.<br/><br/><b>Continuous Learning : </b><br/><br/>- Stay updated on the latest developments in AI/ML, including advancements in LLMs and model optimization techniques.<br/><br/>- Explore and evaluate emerging AI tools and technologies for potential integration into workflows.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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