Job Post :- AI/ML Engineer

Experience: 2+ years

Location :- Ahmedabad (Work form office)

Job Summary:

We are seeking a versatile Data and AI Specialist with expertise in AI/ML technologies,

Generative AI and data engineering. The ideal candidate will design, build and optimize

AI solutions and data pipelines, enabling scalable and reliable AI workflows. This role

combines the responsibilities of a Data Engineer and AI Specialist, requiring a strong

foundation in data management, AI/ML modeling, and modern cloud platforms.

Key Responsibilities:

-AI/ML Responsibilities:

• Design, develop, and deploy machine learning models and Generative AI solutions (LLMs, foundation models).
• Utilize modern platforms and tools for AI deployment and model optimization.
• Conduct prompt engineering and hyperparameter tuning for AI model performance
• Implement MLOps practices for continuous monitoring and automation of AI solutions.
• Collaborate with cross-functional teams to translate business requirements into AI-powered solutions.

-Data Engineering Responsibilities:

• Design and implement ETL pipelines using modern tools and technologies
• Manage and preprocess large datasets, ensuring data quality and accessibility.
• Work with databases and big data platforms such as Hadoop, Spark or AWS Glue
• Optimize data storage solutions, including cloud and on-premises systems.
• Ensure compliance with data security, governance, and privacy policies

Required Skills:

• AWS AI/ML Services Expertise:
• Amazon SageMaker: Model development, deployment and MLOps.
• AWS Bedrock: Deploying and integrating foundation models like GPT, Claude and Titan.
• Amazon Rekognition, Polly, Lex, Comprehend: For multimodal AI solutions.
• AWS Lambda & Step Functions: Serverless and orchestrated AI pipelines.
• Deep Learning AMIs/Containers: For TensorFlow and PyTorch
• Proficiency in Generative AI:
• LLMs, foundation models, and their fine-tuning
• Experience with prompt engineering
• Strong knowledge of data engineering tools: SQL, Spark, Hadoop and ETL workflows
• Strong programming skills in Python with expertise in TensorFlow and PyTorch.
• Hands-on experience with cloud-based AI and data platforms (AWS, Azure, Google Cloud).
• Expertise in Generative AI, including LLMs, prompt engineering, and foundation models
• Proficiency in programming languages: Python (AI/ML) and SQL (data pipelines).
• Familiarity with containerization (Docker) and orchestration tools (Kubernetes/EKS).

Preferred Skills:

• Certifications in AI/ML or data engineering (AWS, Google, Azure).
• Hands-on experience with MLOps frameworks and big data analytics tools.
• Familiarity with other Generative AI platforms and APIs (e.g. OpenAI, Google AI, Azure AI).
• Strong communication skills for translating business requirements into technical AI solutions.