AI/ML Engineer

Collabridge Solutions Inc.; Hyderabad; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Collabridge Solutions Inc. is seeking a skilled professional to design and oversee scalable AI systems in Hyderabad, India. The ideal candidate will have 5-10 years of experience in software architecture or ML/AI engineering, with hands-on skills in Python and relevant frameworks such as TensorFlow and PyTorch. Responsibilities include designing end-to-end AI solutions, evaluating technical tools, and leading teams to ensure best practices. This role offers the chance to work at the intersection of data science and engineering in a rapidly growing company.

Qualifications

• 5–10 years in software architecture or ML/AI engineering.
• Hands-on experience with building and deploying AI solutions.

Responsibilities

• Design end-to-end ML/AI & GenAI solutions.
• Evaluate AI frameworks, tools, and cloud services.
• Guide engineers and data scientists to follow best practices.

Skills

Python

ML/AI frameworks

Cloud AI platforms

NLP

Deep Learning

Generative AI

Job description

Collabridge Solutions is a rapidly growing company specializing in IT services, and digital transformation consulting. As a global provider, Collabridge offers expertise in e-business technologies, including vendor-specific platforms like SAP, Oracle, Microsoft, Java, and IBM. Headquartered in Texas, the company serves clients across the United States, consistently delivering dependable IT solutions paired with exceptional customer service. At Collabridge, innovation, adaptability, and quality service are key to achieving success and building lasting partnerships.

We’re looking for a talented professional who can design and oversee scalable, secure, high-performance AI systems that translate complex business needs into impactful technical solutions. This role sits at the intersection of data science, engineering, and business teams—ensuring our AI initiatives deliver real value.

KeyResponsibilities

• Solution Architecture: Design end-to-end ML/AI & GenAI solutions, including data pipelines, deployment strategies, and enterprise/cloud integrations.
• Tech Evaluation: Choose the right AI frameworks, tools, cloud services, and vector DBs based on scalability, security, and cost.
• Technical Leadership: Guide engineers, data scientists, and DevOps teams; ensure best practices are followed.

Experience

• Experience Required: 5–10 years in software architecture or ML/AI engineering with hands‑on exposure to building and deploying AI solutions.

Technical Skills

• Strong Python + ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn)
• Solid understanding of ML, Deep Learning, NLP & Generative AI (LLMs, VAEs, GANs)
• Experience with cloud AI platforms (AWS SageMaker/Bedrock, Azure/OpenAI, Google Vertex)