Senior Artificial Intelligence Engineer

Amiseq; Pune District, Chennai; In loco; INR 1 - 2; Tempo pieno

Descrizione del lavoro

Amiseq Inc. is seeking an experienced AI Engineer for Pune and Chennai locations to design, develop, and implement AI solutions.

The role focuses on AI, GenAI, ML, NLP, computer vision, and predictive analytics, including preprocessing large datasets and deploying AI models within enterprise applications. Responsibilities include building scalable AI solutions, training and optimizing language models, integrating AI with business processes, and developing APIs.

Descrizione del lavoro

AI Engineer

Pune, MH/Chennai, TN

Job Title: AI Engineer

Job Summary:

We are seeking a highly skilled and motivated AI Engineer for designing, developing, and implementing artificial intelligence (AI) solutions within an organization. The role focuses on leveraging AI & GenAI technologies, machine learning (ML), natural language processing (NLP), computer vision, and predictive analytics to solve complex business problems and drive innovation. The AI Engineer will preprocess and analyze large datasets, implement machine learning and deep learning algorithms, and integrate AI systems into existing applications.

Key Responsibilities

Technical Expertise

• Design & Implement AI solutions that are scalable, secure, and maintainable over time.
• Supervise or contribute to the development, training, and optimization of Large as well as small language models.
• Ensure seamless integration of AI solutions with existing business processes while ensuring that the solution complies with Arrows internal policies and guidelines.
• Develop APIs or interfaces for AI-powered solutions.
• Evaluate and select AI tools, platforms, and frameworks to develop innovative solutions.
• Strong experience in use of programming languages such as Python, .Net, C#, R and AI frameworks such as Semantic Kernel, LangChain, LangGraph, Crew AI etc.
• Strong experience in working with Azure DataBricks environment to gather, clean, and preprocess large datasets for training AI models
• Strong understanding & knowledge about Microsoft Azure cloud and deploying PaaS & SaaS applications on Azure
• Strong background especially in AI Solutions and Cloud technologies.
• Stay updated on the latest advancements in AI and machine learning to propose innovative solutions.
• Collaborate with external vendors and partners to leverage their expertise and solutions.

Team Collaboration and Coordination

• Collaborate with AI research teams, data scientists, product managers, and business stakeholders.
• Facilitate regular meetings and communications between business units and IT to discuss AI project progress, challenges, and opportunities.
• Foster collaboration among team members and remove obstacles to productivity.

Qualifications:

• Education: Bachelor’s or master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Advanced degree preferred.
• Experience: Minimum of 5 years of experience in AI projects, data science, or a related field.
• Skills:
  • Expertise in AI & GenAI technologies, frameworks, and methodologies (e.g., supervised/unsupervised learning, deep learning, NLP, computer vision).
  • Proficiency in programming languages like Python, .Net, C# and R
  • Hands on experience in use of AI frameworks such as Semantic Kernel, LangChain, LangGraph, Crew AI etc.
  • Proficiency in Linux/Unix environment (including scripting), Docker, Kubernetes, and related services for model deployments
  • Strong understanding of cloud technologies (Azure & AWS), APIs, and microservices.
  • Proven experience in managing technical projects, preferably in AI, machine learning, or data-driven technologies.
  • Knowledge of big data processing tools (e.g., Hadoop, Apache Spark).
  • Hands on experience with tools and platforms used in AI development (e.g., Azure AI Foundry, Ollama, DataBricks etc.).
  • Experience in designing AI Solutions using on premise and Cloud technologies.
  • Experience with agile methodologies and tools (e.g., Jira, Trello) for managing technical projects.
  • Demonstrated ability to manage multiple projects simultaneously and prioritize effectively.
  • Strong problem-solving, analytical, and communication skills.
  • Knowledge of AI ethics and regulatory compliance frameworks.
  • Proficiency with data engineering and cloud architecture principles.