AI/ML Engineer

2 days ago

Ahmedabad, Gujarat, India Huptech HR Solutions Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Post :- AI/ML EngineerExperience: 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 optimizeAI solutions and data pipelines, enabling scalable and reliable AI workflows. This rolecombines the responsibilities of a Data Engineer and AI Specialist, requiring a strongfoundation 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 GlueOptimize 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 PyTorchProficiency 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.

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