Tech Mahindra is hiring: Tech Lead in Redmond
Tech Mahindra, Redmond, WA, United States
A Bachelor’s or Higher Degree is the minimum entry required for the position.
The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision making, and support strategic initiatives for the environmental and social specialists in the World Bank Group. This role is central to the VPU’s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
Education and Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
Minimum 3 years of experience in AI/ML model development and deployment.
Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.
Technical Skills
Skilled in Azure AI/Google Vertex Search, Vector Databases, fine tuning the RAG, NLP model development, API Management.
Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
Expertise in deep learning, computer vision, and large language models.
Familiarity with REST APIs, NoSQL, and RDBMS.
Soft Skills
Strong analytical and problem solving abilities.
Excellent communication and teamwork skills.
Strategic thinking and innovation mindset.
Certifications (Preferred)
Microsoft Certified: Azure AI Engineer Associate
Google Machine Learning Engineer
SAFe Agile Software Engineer (ASE)
Certification in AI Ethics
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The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision making, and support strategic initiatives for the environmental and social specialists in the World Bank Group. This role is central to the VPU’s digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems.
Education and Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
Minimum 3 years of experience in AI/ML model development and deployment.
Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP).
Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions.
Technical Skills
Skilled in Azure AI/Google Vertex Search, Vector Databases, fine tuning the RAG, NLP model development, API Management.
Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks.
Expertise in deep learning, computer vision, and large language models.
Familiarity with REST APIs, NoSQL, and RDBMS.
Soft Skills
Strong analytical and problem solving abilities.
Excellent communication and teamwork skills.
Strategic thinking and innovation mindset.
Certifications (Preferred)
Microsoft Certified: Azure AI Engineer Associate
Google Machine Learning Engineer
SAFe Agile Software Engineer (ASE)
Certification in AI Ethics
#J-18808-Ljbffr