Visit the AI engineer jobs in India page, apply today and start your journey to success

Are you passionate about artificial intelligence (AI) and looking for a job in this exciting field? There is a wide range of opportunities for aspiring AI engineers throughout India. India has become a hub of technological innovation and provides a fertile ground for your professional growth. AI technology is rapidly evolving and transforming various industries, including finance, healthcare, retail, and more. As an AI engineer, you will have the chance to contribute to cutting-edge projects, work with advanced algorithms, and develop AI solutions that make a real impact. Apply now and seize the opportunity to kickstart your career in AI.

1. Tech Mahindra

Role: Senior Artificial Intelligence Developer
Responsibilities:

• Deploying AI solutions using Microsoft Azure technology.
• Demonstrating proficiency in either C# or Python programming languages.
• Expertise in deploying Chatbot solutions utilizing Azure Bot solutions and Power Virtual Agents.
• Exposure to Azure cognitive services.

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2. Amazon

Role: Business Intel Engineer
Responsibilities:

• 2+ years of experience analyzing and interpreting data with technologies such as Redshift, Oracle, and NoSQL.
• Proficient in building and maintaining fundamental data artifacts, including ETL processes, data models, and queries.
• Familiarity with industry analytics visualization tools such as Excel, Tableau, QuickSight, MicroStrategy, and PowerBI.
• Knowledge and application of statistical methods, including t-tests and Chi-squared tests.
• Skilled in scripting languages like Python, Java, or R.
• Ability to apply basic statistical methods, such as regression, to solve complex business problems.

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3. Oracle

Role: Principal Machine Learning Engineer
Responsibilities:

• 7+ years of Experience designing, implementing, and deploying machine learning models in production environments.
• Practical experience in design, implementation, and production deployment of AI models using triton, optimization of the model using ONNX, model quantization, and other relevant techniques.
• Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes).
• Working knowledge of current techniques and best practices in AI model inferencing and training.
• Expert in at least one high-level language such as Java/C++ (C++ preferred).
• Expert in at least one scripting language such as Python, Javascript, and Shell (Python preferred).

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4. Nokia

Role: AI Technical Engineer
Responsibilities:

• 5 years of work experience in Python development where natural language processing was a key component.
• Bachelor's/Master's degree in Computer Science or relevant work experience
• Preferably Certified Cloud Developer (either Microsoft, IBM Cloud, AWS, Google)
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems
• Work with an Agile mindset to create value across projects of multiple scopes and scale
• Excellent communication skill – oral, written, presenting, creation of report outs etc.

5. Procter and Gamble

Role: AI Platform Engineer
Responsibilities:

• A Bachelors or Master's degree in Computer Science, Software Engineering or related field
• 2+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products
• Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools, e.g. Jira, GitHub Actions
• Testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
• GCP/Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, authentication)

Apply now