Inkey IT Solutions Pvt. Ltd.
Associate Software Engineer - AI/ML
0 to 2 years
Stalwart Insignia, Surat
Full-Time
Mandatory Skills:
Strong verbal and written communication skills with regular progress reporting and status updates.
Effective task, time, and deadline management.
Ownership, accountability, and willingness to seek clarification and support when required.
Strong teamwork and collaboration skills.
Active participation in project discussions, meetings, and documentation activities.
Professional conduct, attention to detail, and commitment to quality.
Positive attitude, analytical thinking, and problem-solving mindset.
Preferred Skills:
Strong analytical, logical reasoning, and problem-solving abilities.
Familiarity with Agile methodologies and Git/version control systems.
Good documentation, testing, debugging, and troubleshooting skills.
Openness to feedback, peer reviews, and continuous improvement.
Ability to understand business requirements and translate them into AI-powered solutions.
Interest in Machine Learning, Generative AI, Natural Language Processing (NLP), and intelligent automation.
Proactive approach toward identifying opportunities for AI-driven improvements.
Growth mindset with continuous learning through certifications, training, and skill-development initiatives.
Technical Skills:
Understanding of Azure AI Services, Azure Machine Learning, and Azure OpenAI Services.
Knowledge of Machine Learning concepts, model training, evaluation, and deployment.
Proficiency in Python and familiarity with AI/ML development libraries and frameworks.
Understanding of Generative AI, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG).
Experience with data preprocessing, data analysis, and model performance optimization.
Knowledge of REST APIs, AI service integrations, and cloud-based application development.
Familiarity with Azure Cognitive Services, Document Intelligence, Speech Services, and Language Services.
Understanding of vector databases, embeddings, and AI search concepts.
Knowledge of SQL, data management, governance, security, and responsible AI principles.
Familiarity with Azure DevOps, CI/CD pipelines, and MLOps concepts is an added advantage.
Working knowledge of AI-assisted development tools for code generation, debugging, testing, documentation, and productivity enhancement.
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